From 1fde4a4296515ae25c0c1dd0e57e82d69a09df88 Mon Sep 17 00:00:00 2001 From: Zouxxyy Date: Mon, 1 Jul 2024 16:52:57 +0800 Subject: [PATCH 01/41] [spark] Avoid unnecessary get splits in spark scan (#3645) --- .../main/scala/org/apache/paimon/spark/PaimonBaseScan.scala | 2 ++ .../org/apache/paimon/spark/PaimonInputPartition.scala | 6 +++++- .../scala/org/apache/paimon/spark/PaimonStatistics.scala | 2 +- 3 files changed, 8 insertions(+), 2 deletions(-) diff --git a/paimon-spark/paimon-spark-common/src/main/scala/org/apache/paimon/spark/PaimonBaseScan.scala b/paimon-spark/paimon-spark-common/src/main/scala/org/apache/paimon/spark/PaimonBaseScan.scala index 6857fec7d722..2a530da792cf 100644 --- a/paimon-spark/paimon-spark-common/src/main/scala/org/apache/paimon/spark/PaimonBaseScan.scala +++ b/paimon-spark/paimon-spark-common/src/main/scala/org/apache/paimon/spark/PaimonBaseScan.scala @@ -19,6 +19,7 @@ package org.apache.paimon.spark import org.apache.paimon.{stats, CoreOptions} +import org.apache.paimon.annotation.VisibleForTesting import org.apache.paimon.predicate.{Predicate, PredicateBuilder} import org.apache.paimon.spark.metric.SparkMetricRegistry import org.apache.paimon.spark.schema.PaimonMetadataColumn @@ -92,6 +93,7 @@ abstract class PaimonBaseScan( _readBuilder } + @VisibleForTesting def getOriginSplits: Array[Split] = { readBuilder .newScan() diff --git a/paimon-spark/paimon-spark-common/src/main/scala/org/apache/paimon/spark/PaimonInputPartition.scala b/paimon-spark/paimon-spark-common/src/main/scala/org/apache/paimon/spark/PaimonInputPartition.scala index b0a1d64999bc..894405fd7255 100644 --- a/paimon-spark/paimon-spark-common/src/main/scala/org/apache/paimon/spark/PaimonInputPartition.scala +++ b/paimon-spark/paimon-spark-common/src/main/scala/org/apache/paimon/spark/PaimonInputPartition.scala @@ -22,7 +22,11 @@ import org.apache.paimon.table.source.Split import org.apache.spark.sql.connector.read.InputPartition -case class PaimonInputPartition(splits: Seq[Split]) extends InputPartition {} +case class PaimonInputPartition(splits: Seq[Split]) extends InputPartition { + def rowCount(): Long = { + splits.map(_.rowCount()).sum + } +} object PaimonInputPartition { def apply(split: Split): PaimonInputPartition = { diff --git a/paimon-spark/paimon-spark-common/src/main/scala/org/apache/paimon/spark/PaimonStatistics.scala b/paimon-spark/paimon-spark-common/src/main/scala/org/apache/paimon/spark/PaimonStatistics.scala index edf8c01dd3ee..a8bba3bab2fd 100644 --- a/paimon-spark/paimon-spark-common/src/main/scala/org/apache/paimon/spark/PaimonStatistics.scala +++ b/paimon-spark/paimon-spark-common/src/main/scala/org/apache/paimon/spark/PaimonStatistics.scala @@ -34,7 +34,7 @@ import scala.collection.JavaConverters._ case class PaimonStatistics[T <: PaimonBaseScan](scan: T) extends Statistics { - private lazy val rowCount: Long = scan.getOriginSplits.map(_.rowCount).sum + private lazy val rowCount: Long = scan.getInputPartitions.map(_.rowCount()).sum private lazy val scannedTotalSize: Long = rowCount * scan.readSchema().defaultSize From 37a52215e513c04c8c2faf25e898ed77a6fc1683 Mon Sep 17 00:00:00 2001 From: Jingsong Lee Date: Mon, 1 Jul 2024 17:59:41 +0800 Subject: [PATCH 02/41] [core] Should not ignore return value of FileIO.writeFileUtf8 (#3639) --- .../java/org/apache/paimon/fs/FileIO.java | 21 +++++++++---------- .../java/org/apache/paimon/fs/FileIOTest.java | 2 +- .../paimon/fs/local/LocalFleIOTest.java | 2 +- .../paimon/operation/FileStoreCommitImpl.java | 2 +- .../apache/paimon/schema/SchemaManager.java | 3 ++- .../org/apache/paimon/stats/StatsFile.java | 2 +- .../paimon/table/AbstractFileStoreTable.java | 5 +++-- .../apache/paimon/utils/SnapshotManager.java | 2 +- .../org/apache/paimon/utils/TagManager.java | 2 +- .../paimon/catalog/CatalogFactoryTest.java | 2 +- .../paimon/operation/ExpireSnapshotsTest.java | 6 +++--- .../operation/OrphanFilesCleanTest.java | 2 +- .../paimon/utils/SnapshotManagerTest.java | 12 +++++------ .../RemoveOrphanFilesProcedureTest.scala | 4 ++-- .../spark/sql/AnalyzeTableTestBase.scala | 2 +- 15 files changed, 35 insertions(+), 34 deletions(-) diff --git a/paimon-common/src/main/java/org/apache/paimon/fs/FileIO.java b/paimon-common/src/main/java/org/apache/paimon/fs/FileIO.java index b791331472d6..bbc69d6f3c54 100644 --- a/paimon-common/src/main/java/org/apache/paimon/fs/FileIO.java +++ b/paimon-common/src/main/java/org/apache/paimon/fs/FileIO.java @@ -232,20 +232,11 @@ default String readFileUtf8(Path path) throws IOException { * * @return false if target file exists */ - default boolean writeFileUtf8(Path path, String content) throws IOException { - if (exists(path)) { - return false; - } - + default boolean tryToWriteAtomic(Path path, String content) throws IOException { Path tmp = path.createTempPath(); boolean success = false; try { - try (PositionOutputStream out = newOutputStream(tmp, false)) { - OutputStreamWriter writer = new OutputStreamWriter(out, StandardCharsets.UTF_8); - writer.write(content); - writer.flush(); - } - + writeFile(tmp, content, false); success = rename(tmp, path); } finally { if (!success) { @@ -256,6 +247,14 @@ default boolean writeFileUtf8(Path path, String content) throws IOException { return success; } + default void writeFile(Path path, String content, boolean overwrite) throws IOException { + try (PositionOutputStream out = newOutputStream(path, overwrite)) { + OutputStreamWriter writer = new OutputStreamWriter(out, StandardCharsets.UTF_8); + writer.write(content); + writer.flush(); + } + } + /** * Overwrite file by content atomically, different {@link FileIO}s have different atomic * implementations. diff --git a/paimon-common/src/test/java/org/apache/paimon/fs/FileIOTest.java b/paimon-common/src/test/java/org/apache/paimon/fs/FileIOTest.java index eed26d7a870b..8dbcf4185772 100644 --- a/paimon-common/src/test/java/org/apache/paimon/fs/FileIOTest.java +++ b/paimon-common/src/test/java/org/apache/paimon/fs/FileIOTest.java @@ -76,7 +76,7 @@ public void testCopy() throws Exception { Path dstFile = new Path(tempDir.resolve("dst.txt").toUri()); FileIO fileIO = new DummyFileIO(); - fileIO.writeFileUtf8(srcFile, "foobar"); + fileIO.tryToWriteAtomic(srcFile, "foobar"); fileIO.copyFile(srcFile, dstFile, true); assertThat(fileIO.readFileUtf8(dstFile)).isEqualTo("foobar"); diff --git a/paimon-common/src/test/java/org/apache/paimon/fs/local/LocalFleIOTest.java b/paimon-common/src/test/java/org/apache/paimon/fs/local/LocalFleIOTest.java index 2892e64ec436..bf5b6f93f9f6 100644 --- a/paimon-common/src/test/java/org/apache/paimon/fs/local/LocalFleIOTest.java +++ b/paimon-common/src/test/java/org/apache/paimon/fs/local/LocalFleIOTest.java @@ -37,7 +37,7 @@ public void testCopy() throws Exception { Path dstFile = new Path(tempDir.resolve("dst.txt").toUri()); FileIO fileIO = new LocalFileIO(); - fileIO.writeFileUtf8(srcFile, "foobar"); + fileIO.tryToWriteAtomic(srcFile, "foobar"); fileIO.copyFile(srcFile, dstFile, false); assertThat(fileIO.readFileUtf8(dstFile)).isEqualTo("foobar"); diff --git a/paimon-core/src/main/java/org/apache/paimon/operation/FileStoreCommitImpl.java b/paimon-core/src/main/java/org/apache/paimon/operation/FileStoreCommitImpl.java index 186bd545d15d..4d29bc188746 100644 --- a/paimon-core/src/main/java/org/apache/paimon/operation/FileStoreCommitImpl.java +++ b/paimon-core/src/main/java/org/apache/paimon/operation/FileStoreCommitImpl.java @@ -939,7 +939,7 @@ public boolean tryCommitOnce( Callable callable = () -> { boolean committed = - fileIO.writeFileUtf8(newSnapshotPath, newSnapshot.toJson()); + fileIO.tryToWriteAtomic(newSnapshotPath, newSnapshot.toJson()); if (committed) { snapshotManager.commitLatestHint(newSnapshotId); } diff --git a/paimon-core/src/main/java/org/apache/paimon/schema/SchemaManager.java b/paimon-core/src/main/java/org/apache/paimon/schema/SchemaManager.java index 8fa3b0789c8f..680ee6b8e73f 100644 --- a/paimon-core/src/main/java/org/apache/paimon/schema/SchemaManager.java +++ b/paimon-core/src/main/java/org/apache/paimon/schema/SchemaManager.java @@ -474,7 +474,8 @@ private void updateColumn( boolean commit(TableSchema newSchema) throws Exception { SchemaValidation.validateTableSchema(newSchema); Path schemaPath = toSchemaPath(newSchema.id()); - Callable callable = () -> fileIO.writeFileUtf8(schemaPath, newSchema.toString()); + Callable callable = + () -> fileIO.tryToWriteAtomic(schemaPath, newSchema.toString()); if (lock == null) { return callable.call(); } diff --git a/paimon-core/src/main/java/org/apache/paimon/stats/StatsFile.java b/paimon-core/src/main/java/org/apache/paimon/stats/StatsFile.java index 95f099f5f4c7..787c735ef62b 100644 --- a/paimon-core/src/main/java/org/apache/paimon/stats/StatsFile.java +++ b/paimon-core/src/main/java/org/apache/paimon/stats/StatsFile.java @@ -54,7 +54,7 @@ public String write(Statistics stats) { Path path = pathFactory.newPath(); try { - fileIO.writeFileUtf8(path, stats.toJson()); + fileIO.writeFile(path, stats.toJson(), false); } catch (IOException e) { throw new RuntimeException("Failed to write stats file: " + path, e); } diff --git a/paimon-core/src/main/java/org/apache/paimon/table/AbstractFileStoreTable.java b/paimon-core/src/main/java/org/apache/paimon/table/AbstractFileStoreTable.java index dd8e5e17f47d..2a4a8e8c3ad2 100644 --- a/paimon-core/src/main/java/org/apache/paimon/table/AbstractFileStoreTable.java +++ b/paimon-core/src/main/java/org/apache/paimon/table/AbstractFileStoreTable.java @@ -544,9 +544,10 @@ public void rollbackTo(String tagName) { // earliest hint SnapshotManager snapshotManager = snapshotManager(); if (!snapshotManager.snapshotExists(taggedSnapshot.id())) { - fileIO.writeFileUtf8( + fileIO.writeFile( snapshotManager().snapshotPath(taggedSnapshot.id()), - fileIO.readFileUtf8(tagManager.tagPath(tagName))); + fileIO.readFileUtf8(tagManager.tagPath(tagName)), + false); snapshotManager.commitEarliestHint(taggedSnapshot.id()); } } catch (IOException e) { diff --git a/paimon-core/src/main/java/org/apache/paimon/utils/SnapshotManager.java b/paimon-core/src/main/java/org/apache/paimon/utils/SnapshotManager.java index 0a090d6c977c..c7273475348a 100644 --- a/paimon-core/src/main/java/org/apache/paimon/utils/SnapshotManager.java +++ b/paimon-core/src/main/java/org/apache/paimon/utils/SnapshotManager.java @@ -526,7 +526,7 @@ public List findSnapshotsForIdentifiers( } public void commitChangelog(Changelog changelog, long id) throws IOException { - fileIO.writeFileUtf8(longLivedChangelogPath(id), changelog.toJson()); + fileIO.writeFile(longLivedChangelogPath(id), changelog.toJson(), false); } /** diff --git a/paimon-core/src/main/java/org/apache/paimon/utils/TagManager.java b/paimon-core/src/main/java/org/apache/paimon/utils/TagManager.java index eb2273f3c888..3cfa22934a7b 100644 --- a/paimon-core/src/main/java/org/apache/paimon/utils/TagManager.java +++ b/paimon-core/src/main/java/org/apache/paimon/utils/TagManager.java @@ -114,7 +114,7 @@ public void createTag( // update tag metadata into for the same snapshot of the same tag name. fileIO.overwriteFileUtf8(tagPath, content); } else { - fileIO.writeFileUtf8(tagPath, content); + fileIO.writeFile(tagPath, content, false); } } catch (IOException e) { throw new RuntimeException( diff --git a/paimon-core/src/test/java/org/apache/paimon/catalog/CatalogFactoryTest.java b/paimon-core/src/test/java/org/apache/paimon/catalog/CatalogFactoryTest.java index 4527d4a41643..f70caaec99f4 100644 --- a/paimon-core/src/test/java/org/apache/paimon/catalog/CatalogFactoryTest.java +++ b/paimon-core/src/test/java/org/apache/paimon/catalog/CatalogFactoryTest.java @@ -51,7 +51,7 @@ public void testAutomaticCreatePath(@TempDir java.nio.file.Path path) { public void testNotDirectory(@TempDir java.nio.file.Path path) throws IOException { Path root = new Path(path.toUri().toString()); Path warehouse = new Path(root, "warehouse"); - LocalFileIO.create().writeFileUtf8(warehouse, ""); + LocalFileIO.create().tryToWriteAtomic(warehouse, ""); Options options = new Options(); options.set(WAREHOUSE, warehouse.toString()); assertThatThrownBy(() -> CatalogFactory.createCatalog(CatalogContext.create(options))) diff --git a/paimon-core/src/test/java/org/apache/paimon/operation/ExpireSnapshotsTest.java b/paimon-core/src/test/java/org/apache/paimon/operation/ExpireSnapshotsTest.java index 6af2d3051a97..9b32842fa8b1 100644 --- a/paimon-core/src/test/java/org/apache/paimon/operation/ExpireSnapshotsTest.java +++ b/paimon-core/src/test/java/org/apache/paimon/operation/ExpireSnapshotsTest.java @@ -184,11 +184,11 @@ public void testExpireExtraFiles() throws IOException { BinaryRow partition = gen.getPartition(gen.next()); Path bucketPath = store.pathFactory().bucketPath(partition, 0); Path myDataFile = new Path(bucketPath, "myDataFile"); - new LocalFileIO().writeFileUtf8(myDataFile, "1"); + new LocalFileIO().tryToWriteAtomic(myDataFile, "1"); Path extra1 = new Path(bucketPath, "extra1"); - fileIO.writeFileUtf8(extra1, "2"); + fileIO.tryToWriteAtomic(extra1, "2"); Path extra2 = new Path(bucketPath, "extra2"); - fileIO.writeFileUtf8(extra2, "3"); + fileIO.tryToWriteAtomic(extra2, "3"); // create DataFileMeta and ManifestEntry List extraFiles = Arrays.asList("extra1", "extra2"); diff --git a/paimon-core/src/test/java/org/apache/paimon/operation/OrphanFilesCleanTest.java b/paimon-core/src/test/java/org/apache/paimon/operation/OrphanFilesCleanTest.java index 09291c43e0b6..6dbd33c76de4 100644 --- a/paimon-core/src/test/java/org/apache/paimon/operation/OrphanFilesCleanTest.java +++ b/paimon-core/src/test/java/org/apache/paimon/operation/OrphanFilesCleanTest.java @@ -594,7 +594,7 @@ private void addNonUsedFiles(Path dir, int fileNum, List fileNamePrefix) fileNamePrefix.get(RANDOM.nextInt(fileNamePrefix.size())) + UUID.randomUUID(); Path file = new Path(dir, fileName); if (RANDOM.nextBoolean()) { - fileIO.writeFileUtf8(file, ""); + fileIO.tryToWriteAtomic(file, ""); } else { fileIO.mkdirs(file); } diff --git a/paimon-core/src/test/java/org/apache/paimon/utils/SnapshotManagerTest.java b/paimon-core/src/test/java/org/apache/paimon/utils/SnapshotManagerTest.java index 0b4e7bb28da1..b1e0384809d8 100644 --- a/paimon-core/src/test/java/org/apache/paimon/utils/SnapshotManagerTest.java +++ b/paimon-core/src/test/java/org/apache/paimon/utils/SnapshotManagerTest.java @@ -73,7 +73,7 @@ public void testEarlierThanTimeMillis() throws IOException { int firstSnapshotId = random.nextInt(1, 100); for (int i = 0; i < numSnapshots; i++) { Snapshot snapshot = createSnapshotWithMillis(firstSnapshotId + i, millis.get(i)); - localFileIO.writeFileUtf8( + localFileIO.tryToWriteAtomic( snapshotManager.snapshotPath(firstSnapshotId + i), snapshot.toJson()); } @@ -110,7 +110,7 @@ public void testEarlierOrEqualTimeMills() throws IOException { // create 10 snapshots for (long i = 0; i < 10; i++) { Snapshot snapshot = createSnapshotWithMillis(i, millis + i * 1000); - localFileIO.writeFileUtf8(snapshotManager.snapshotPath(i), snapshot.toJson()); + localFileIO.tryToWriteAtomic(snapshotManager.snapshotPath(i), snapshot.toJson()); } // smaller than the second snapshot return the first snapshot assertThat(snapshotManager.earlierOrEqualTimeMills(millis + 999).timeMillis()) @@ -132,7 +132,7 @@ public void testlaterOrEqualWatermark() throws IOException { // create 10 snapshots for (long i = 0; i < 10; i++) { Snapshot snapshot = createSnapshotWithMillis(i, millis, Long.MIN_VALUE); - localFileIO.writeFileUtf8(snapshotManager.snapshotPath(i), snapshot.toJson()); + localFileIO.tryToWriteAtomic(snapshotManager.snapshotPath(i), snapshot.toJson()); } // smaller than the second snapshot assertThat(snapshotManager.laterOrEqualWatermark(millis + 999)).isNull(); @@ -224,7 +224,7 @@ public void testTraversalSnapshotsFromLatestSafely() throws IOException, Interru null, null, null); - localFileIO.writeFileUtf8(snapshotManager.snapshotPath(i), snapshot.toJson()); + localFileIO.tryToWriteAtomic(snapshotManager.snapshotPath(i), snapshot.toJson()); } // read all @@ -301,13 +301,13 @@ public void testLongLivedChangelog() throws Exception { long millis = 1L; for (long i = 1; i <= 5; i++) { Changelog changelog = createChangelogWithMillis(i, millis + i * 1000); - localFileIO.writeFileUtf8( + localFileIO.tryToWriteAtomic( snapshotManager.longLivedChangelogPath(i), changelog.toJson()); } for (long i = 6; i <= 10; i++) { Snapshot snapshot = createSnapshotWithMillis(i, millis + i * 1000); - localFileIO.writeFileUtf8(snapshotManager.snapshotPath(i), snapshot.toJson()); + localFileIO.tryToWriteAtomic(snapshotManager.snapshotPath(i), snapshot.toJson()); } Assertions.assertThat(snapshotManager.earliestLongLivedChangelogId()).isEqualTo(1); diff --git a/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/procedure/RemoveOrphanFilesProcedureTest.scala b/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/procedure/RemoveOrphanFilesProcedureTest.scala index edcbd11714c4..a2a69e257cc4 100644 --- a/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/procedure/RemoveOrphanFilesProcedureTest.scala +++ b/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/procedure/RemoveOrphanFilesProcedureTest.scala @@ -44,9 +44,9 @@ class RemoveOrphanFilesProcedureTest extends PaimonSparkTestBase { val orphanFile1 = new Path(tablePath, "bucket-0/orphan_file1") val orphanFile2 = new Path(tablePath, "bucket-0/orphan_file2") - fileIO.writeFileUtf8(orphanFile1, "a") + fileIO.tryToWriteAtomic(orphanFile1, "a") Thread.sleep(2000) - fileIO.writeFileUtf8(orphanFile2, "b") + fileIO.tryToWriteAtomic(orphanFile2, "b") // by default, no file deleted checkAnswer(spark.sql(s"CALL sys.remove_orphan_files(table => 'T')"), Nil) diff --git a/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/sql/AnalyzeTableTestBase.scala b/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/sql/AnalyzeTableTestBase.scala index 86e9fc5b8923..922499df346b 100644 --- a/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/sql/AnalyzeTableTestBase.scala +++ b/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/sql/AnalyzeTableTestBase.scala @@ -300,7 +300,7 @@ abstract class AnalyzeTableTestBase extends PaimonSparkTestBase { Assertions.assertEquals(1, statsFileCount(tableLocation, fileIO)) val orphanStats = new Path(tableLocation, "statistics/stats-orphan-0") - fileIO.writeFileUtf8(orphanStats, "x") + fileIO.tryToWriteAtomic(orphanStats, "x") Assertions.assertEquals(2, statsFileCount(tableLocation, fileIO)) // test clean orhan statistic From 59fb7134bd01417d255c73cc5a6adcfee57ae775 Mon Sep 17 00:00:00 2001 From: Jingsong Date: Mon, 1 Jul 2024 18:31:05 +0800 Subject: [PATCH 03/41] [doc] Add table mode page for primary key table --- .../primary-key-table/changelog-producer.md | 2 +- .../primary-key-table/deletion-vectors.md | 49 -------- .../content/primary-key-table/merge-engine.md | 2 +- .../primary-key-table/read-optimized.md | 47 ------- .../primary-key-table/sequence-rowkind.md | 2 +- docs/content/primary-key-table/table-mode.md | 119 ++++++++++++++++++ docs/static/img/cow.png | Bin 0 -> 1600997 bytes docs/static/img/lsm-inside-bucket.png | Bin 0 -> 2214166 bytes docs/static/img/mor.png | Bin 0 -> 1595856 bytes docs/static/img/mow-example.png | Bin 0 -> 1366847 bytes docs/static/img/mow.png | Bin 0 -> 1302647 bytes 11 files changed, 122 insertions(+), 99 deletions(-) delete mode 100644 docs/content/primary-key-table/deletion-vectors.md delete mode 100644 docs/content/primary-key-table/read-optimized.md create mode 100644 docs/content/primary-key-table/table-mode.md create mode 100644 docs/static/img/cow.png create mode 100644 docs/static/img/lsm-inside-bucket.png create mode 100644 docs/static/img/mor.png create mode 100644 docs/static/img/mow-example.png create mode 100644 docs/static/img/mow.png diff --git a/docs/content/primary-key-table/changelog-producer.md b/docs/content/primary-key-table/changelog-producer.md index 45723da1f0f1..88ae5817e5df 100644 --- a/docs/content/primary-key-table/changelog-producer.md +++ b/docs/content/primary-key-table/changelog-producer.md @@ -1,6 +1,6 @@ --- title: "Changelog Producer" -weight: 4 +weight: 5 type: docs aliases: - /primary-key-table/changelog-producer.html diff --git a/docs/content/primary-key-table/deletion-vectors.md b/docs/content/primary-key-table/deletion-vectors.md deleted file mode 100644 index 3eb6f293f5a9..000000000000 --- a/docs/content/primary-key-table/deletion-vectors.md +++ /dev/null @@ -1,49 +0,0 @@ ---- -title: "Deletion Vectors" -weight: 6 -type: docs -aliases: -- /primary-key-table/deletion-vectors.html ---- - - -# Deletion Vectors - -## Overview - -The Deletion Vectors mode is designed to takes into account both data reading and writing efficiency. - -In this mode, additional overhead (looking up LSM Tree and generating the corresponding Deletion File) will be introduced during writing, -but during reading, data can be directly retrieved by employing data with deletion vectors, avoiding additional merge costs between different files. - -Furthermore, data reading concurrency is no longer limited, and non-primary key columns can also be used for filter push down. -Generally speaking, in this mode, we can get a huge improvement in read performance without losing too much write performance. - -{{< img src="/img/deletion-vectors-overview.png">}} - -## Usage - -By specifying `'deletion-vectors.enabled' = 'true'`, the Deletion Vectors mode can be enabled. - -## Limitation - -- `changelog-producer` needs to be `none` or `lookup`. -- `merge-engine` can't be `first-row`, because the read of first-row is already no merging, deletion vectors are not needed. -- This mode will filter the data in level-0, so when using time travel to read `APPEND` snapshot, there will be data delay. diff --git a/docs/content/primary-key-table/merge-engine.md b/docs/content/primary-key-table/merge-engine.md index f4daa7bf7357..32b897a006c3 100644 --- a/docs/content/primary-key-table/merge-engine.md +++ b/docs/content/primary-key-table/merge-engine.md @@ -1,6 +1,6 @@ --- title: "Merge Engine" -weight: 3 +weight: 4 type: docs aliases: - /primary-key-table/merge-engine.html diff --git a/docs/content/primary-key-table/read-optimized.md b/docs/content/primary-key-table/read-optimized.md deleted file mode 100644 index 1a5a72334ee5..000000000000 --- a/docs/content/primary-key-table/read-optimized.md +++ /dev/null @@ -1,47 +0,0 @@ ---- -title: "Read Optimized" -weight: 7 -type: docs -aliases: -- /primary-key-table/read-optimized.html ---- - - -# Read Optimized - -## Overview - -For Primary Key Table, it's a 'MergeOnRead' technology. When reading data, multiple layers of LSM data are merged, -and the number of parallelism will be limited by the number of buckets. Although Paimon's merge performance is efficient, -it still cannot catch up with the ordinary AppendOnly table. - -We recommend that you use [Deletion Vectors]({{< ref "primary-key-table/deletion-vectors" >}}) mode. - -If you don't want to use Deletion Vectors mode, you want to query fast enough in certain scenarios, but can only find -older data, you can also: - -1. Configure 'compaction.optimization-interval' when writing data. For streaming jobs, optimized compaction will then - be performed periodically; For batch jobs, optimized compaction will be carried out when the job ends. (Or configure - `'full-compaction.delta-commits'`, its disadvantage is that it can only perform compaction synchronously, which will - affect writing efficiency) -2. Query from [read-optimized system table]({{< ref "maintenance/system-tables#read-optimized-table" >}}). Reading from - results of optimized files avoids merging records with the same key, thus improving reading performance. - -You can flexibly balance query performance and data latency when reading. diff --git a/docs/content/primary-key-table/sequence-rowkind.md b/docs/content/primary-key-table/sequence-rowkind.md index 876348b623ba..61e2c01c8bfb 100644 --- a/docs/content/primary-key-table/sequence-rowkind.md +++ b/docs/content/primary-key-table/sequence-rowkind.md @@ -1,6 +1,6 @@ --- title: "Sequence & Rowkind" -weight: 5 +weight: 6 type: docs aliases: - /primary-key-table/sequence-rowkind.html diff --git a/docs/content/primary-key-table/table-mode.md b/docs/content/primary-key-table/table-mode.md new file mode 100644 index 000000000000..15261cabcf01 --- /dev/null +++ b/docs/content/primary-key-table/table-mode.md @@ -0,0 +1,119 @@ +--- +title: "Table Mode" +weight: 3 +type: docs +aliases: +- /primary-key-table/read-optimized.html +--- + + +# Table Mode + +{{< img src="/img/lsm-inside-bucket.png">}} + +The file structure of the primary key table is roughly shown in the above figure. The table or partition contains +multiple buckets, and each bucket is a separate LSM tree structure that contains multiple files. + +The writing process of LSM is roughly as follows: Flink checkpoint flush L0 files, and trigger a compaction as needed +to merge the data. According to the different processing ways during writing, there are three modes: + +1. MOR (Merge On Read): Default mode, only minor compactions are performed, and merging are required for reading. +2. COW (Copy On Write): Using `'full-compaction.delta-commits' = '1'`, full compaction will be synchronized, which + means the merge is completed on write. +3. MOW (Merge On Write): Using `'deletion-vectors.enabled' = 'true'`, in writing phase, LSM will be queried to generate + the deletion vector file for the data file, which directly filters out unnecessary lines during reading. + +The Merge On Write mode is recommended for general primary key tables (merge-engine is default `deduplicate`). + +## Merge On Read + +MOR is the default mode of primary key table. + +{{< img src="/img/mor.png">}} + +When the mode is MOR, it is necessary to merge all files for reading, as all files are ordered and undergo multi way +merging, which includes a comparison calculation of the primary key. + +There is an obvious issue here, where a single LSM tree can only have a single thread to read, so the read parallelism +is limited. If the amount of data in the bucket is too large, it can lead to poor read performance. So in order to read +performance, it is recommended to analyze the query requirements table and set the data volume in the bucket to be +between 200MB and 1GB. But if the bucket is too small, there will be a lot of small file reads and writes, causing +pressure on the file system. + +In addition, due to the merging process, Filter based data skipping cannot be performed on non primary key columns, +otherwise new data will be filtered out, resulting in incorrect old data. + +- Write performance: very good. +- Read performance: not so good. + +## Copy On Write + +```sql +ALTER TABLE orders SET ('full-compaction.delta-commits' = '1'); +``` + +Set `full-compaction.delta-commits` to 1, which means that every write will be fully merged, and all data will be merged +to the highest level. When reading, merging is not necessary at this time, and the reading performance is the highest. +But every write requires full merging, and write amplification is very severe. + +{{< img src="/img/cow.png">}} + +- Write performance: very bad. +- Read performance: very good. + +## Merge On Write + +```sql +ALTER TABLE orders SET ('deletion-vectors.enabled' = 'true'); +``` + +Thanks to Paimon's LSM structure, it has the ability to be queried by primary key. We can generate deletion vectors +files when writing, representing which data in the file has been deleted. This directly filters out unnecessary rows +during reading, which is equivalent to merging and does not affect reading performance. + +{{< img src="/img/mow.png">}} + +A simple example just like: + +{{< img src="/img/mow-example.png">}} + +Updates data by deleting old record first and then adding new one. + +- Write performance: good. +- Read performance: good. + +{{< hint info >}} +Visibility guarantee: Tables in deletion vectors mode, the files with level 0 will only be visible after compaction. +So by default, compaction is synchronous, and if asynchronous is turned on, there may be delays in the data. +{{< /hint >}} + +## MOR Read Optimized + +If you don't want to use Deletion Vectors mode, you want to query fast enough in MOR mode, but can only find +older data, you can also: + +1. Configure 'compaction.optimization-interval' when writing data. For streaming jobs, optimized compaction will then + be performed periodically; For batch jobs, optimized compaction will be carried out when the job ends. (Or configure + `'full-compaction.delta-commits'`, its disadvantage is that it can only perform compaction synchronously, which will + affect writing efficiency) +2. Query from [read-optimized system table]({{< ref "maintenance/system-tables#read-optimized-table" >}}). Reading from + results of optimized files avoids merging records with the same key, thus improving reading performance. + +You can flexibly balance query performance and data latency when reading. diff --git a/docs/static/img/cow.png b/docs/static/img/cow.png new file mode 100644 index 0000000000000000000000000000000000000000..caa9787a91b4f5f049821a696135cc30627b49f1 GIT binary patch literal 1600997 zcmeFY`&U!v_BX0^SGQN%`V~YG+S*FD3Me2KA<))Vsv@aHhzKM_1>_naV#vJ~m0A#V zBSdaVTZJeAq6P?%n}CQAk`!VhUQKjuMG(lV3Rt^46l1!&WS=mBR!{J-zr`}>2B?|p*Y`5p59C*N*OZ2Wou7dLKx za{1dIpX0y(aP0TrE`1OB=6@0s*TFO4$_SGW z;ZCQh>(+lwEjx67?yrmM=I&_gmy^C3T7H@q`IG0@>$bf4W#d$5Xw}VKE-oMbu}z1= z!vp_3_8_BlOAD^l4jP`>dL?w-y*nSJE+sQUf2&#lGI05e5%jv>wlMov(RV)J7hM2t z*>JPt{0-`Zj?*{%9(1Jrec&iz`|_@JZ=WQz_-|cz*Zd>@@O1Jw?stJ7g%le7Pa}+5%=ke95g`40qNByEgpt)6JEo zFX{p5ugae%S=Vj2lo}Qo^vR|Dzn$poJbLaR=48WH4>lZ4@Or=PT$ty_moUHKw_N#b z^TC>|k*CWCAy*R{9&mq}=jYZJVt29J2VwudaL^X`?fQtmvb6u%vNQVAhOaZ@K0RG} 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zDwxHt#^VnLLIG4a@pWtAj!`d)ZwdGNYRGmi^e?cFp?x&+8aOuqq@6;tPqSFO(|~gZaz#-2CIxReU!M)uX4rQNXl+bM zzUe;(tMerltbwvrO7cBDdO+@b;*R|y8GS?jkZRYE03(&lNN)9P?8HqzKask^I;E+P zQ|=Za8|tQpRPYj>D*2syCU*lu36_w{fEAez=%u%3tM~+CuNSY^1rsVJ;(43Ta-X&# z--o__XCyXeaj?SlRR-&}Jhkd`c*b&9WH%y5+v7EzvIi?1jdEpAMdWjDZ|_cOz+}P= zZX_kp___Y5$ml=p|Bm+I|GThu;HLXG=IO%PC#d`K?&x&HT#siMz*1 zEdt&{tKPjZR4-$CTxhUxFzU8l>s~_z`m=|N%LfX$t8m~}#+le8Q7o^BI={5pYZEKs za{jiFv(51Qz!`ORuEYLY*@i+grB>rnCg$eggI@sLim~ADN*(w5s^kXOIq_Qi zok%ARkYw&eUw#dJ4c*D57Iya*e1?2OE&YO6q^71yjfl%98JJ>Y@3HLVC}ljPV>9rs ziz^h@&^3e7rbAj-(d2j~=vpO!ow461eeLV7uVBO?7qDYyYq&!v+6S3Z4W3%63G0W6&)He=t@SC2N}y8Y+LxE96G1g8}%Cw`VsRF{*7#rg( z746xd>f4RUPeyf?T|O}t7l<%#l$yvm3FDys)vgRD)Q&5GCw3sv5OoRF?)oW`mT2UN zVc&R1E3M>=z^8MSEtwO~rq=3?Kf|j@9f-8`8R3kDb63-WsM!h%O^#jWy5pA^4Tr#= pK&=)KOCui{7<@-2^B(wbpZo^%m#f)tA%C9~6@T3QhcEv2e*x!CT&@5B literal 0 HcmV?d00001 From ad3f2a35afbd2a801f2b6b02420a9cef813e05ed Mon Sep 17 00:00:00 2001 From: Jingsong Date: Mon, 1 Jul 2024 18:36:55 +0800 Subject: [PATCH 04/41] [hotfix] Fix merge conflicts for FileIO.writeFileUtf8 --- .../paimon/flink/action/RemoveOrphanFilesActionITCase.java | 4 ++-- .../spark/procedure/RemoveOrphanFilesProcedureTest.scala | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/action/RemoveOrphanFilesActionITCase.java b/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/action/RemoveOrphanFilesActionITCase.java index 32a476d4ddee..0c335c726189 100644 --- a/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/action/RemoveOrphanFilesActionITCase.java +++ b/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/action/RemoveOrphanFilesActionITCase.java @@ -69,9 +69,9 @@ public void testRunWithoutException() throws Exception { Path orphanFile2 = new Path(table.location(), "bucket-0/orphan_file2"); FileIO fileIO = table.fileIO(); - fileIO.writeFileUtf8(orphanFile1, "a"); + fileIO.writeFile(orphanFile1, "a", true); Thread.sleep(2000); - fileIO.writeFileUtf8(orphanFile2, "b"); + fileIO.writeFile(orphanFile2, "b", true); List args = new ArrayList<>( diff --git a/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/procedure/RemoveOrphanFilesProcedureTest.scala b/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/procedure/RemoveOrphanFilesProcedureTest.scala index a2a69e257cc4..c0bf84c4df12 100644 --- a/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/procedure/RemoveOrphanFilesProcedureTest.scala +++ b/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/procedure/RemoveOrphanFilesProcedureTest.scala @@ -87,9 +87,9 @@ class RemoveOrphanFilesProcedureTest extends PaimonSparkTestBase { val orphanFile1 = new Path(tablePath, "bucket-0/orphan_file1") val orphanFile2 = new Path(tablePath, "bucket-0/orphan_file2") - fileIO.writeFileUtf8(orphanFile1, "a") + fileIO.writeFile(orphanFile1, "a", true) Thread.sleep(2000) - fileIO.writeFileUtf8(orphanFile2, "b") + fileIO.writeFile(orphanFile2, "b", true) // by default, no file deleted checkAnswer(spark.sql(s"CALL sys.remove_orphan_files(table => 'T')"), Nil) From 3521f8cc310a7e3cfcdd7758697c413b73db1f9a Mon Sep 17 00:00:00 2001 From: Zouxxyy Date: Mon, 1 Jul 2024 20:31:03 +0800 Subject: [PATCH 05/41] [core] Read deletion indexes at once to reduce file IO in splits generation (#3646) --- .../DeletionVectorIndexFileMaintainer.java | 2 +- .../DeletionVectorsMaintainer.java | 3 +- .../apache/paimon/index/IndexFileHandler.java | 51 ++++++++++++------- .../apache/paimon/index/PartitionIndex.java | 2 +- .../source/snapshot/SnapshotReaderImpl.java | 41 ++++++++++----- .../paimon/operation/FileStoreCommitTest.java | 6 +-- .../flink/DynamicBucketTableITCase.java | 2 +- 7 files changed, 70 insertions(+), 37 deletions(-) diff --git a/paimon-core/src/main/java/org/apache/paimon/deletionvectors/DeletionVectorIndexFileMaintainer.java b/paimon-core/src/main/java/org/apache/paimon/deletionvectors/DeletionVectorIndexFileMaintainer.java index a9c52fb22303..eb820215543b 100644 --- a/paimon-core/src/main/java/org/apache/paimon/deletionvectors/DeletionVectorIndexFileMaintainer.java +++ b/paimon-core/src/main/java/org/apache/paimon/deletionvectors/DeletionVectorIndexFileMaintainer.java @@ -52,7 +52,7 @@ public DeletionVectorIndexFileMaintainer( .map(deletionFile -> new Path(deletionFile.path()).getName()) .distinct() .collect(Collectors.toList()); - indexFileHandler.scan().stream() + indexFileHandler.scanEntries().stream() .filter( indexManifestEntry -> touchedIndexFileNames.contains( diff --git a/paimon-core/src/main/java/org/apache/paimon/deletionvectors/DeletionVectorsMaintainer.java b/paimon-core/src/main/java/org/apache/paimon/deletionvectors/DeletionVectorsMaintainer.java index 8cc5639943ba..8079d977c3cd 100644 --- a/paimon-core/src/main/java/org/apache/paimon/deletionvectors/DeletionVectorsMaintainer.java +++ b/paimon-core/src/main/java/org/apache/paimon/deletionvectors/DeletionVectorsMaintainer.java @@ -148,7 +148,8 @@ public DeletionVectorsMaintainer createOrRestore( List indexFiles = snapshotId == null ? Collections.emptyList() - : handler.scan(snapshotId, DELETION_VECTORS_INDEX, partition).stream() + : handler.scanEntries(snapshotId, DELETION_VECTORS_INDEX, partition) + .stream() .map(IndexManifestEntry::indexFile) .collect(Collectors.toList()); Map deletionVectors = diff --git a/paimon-core/src/main/java/org/apache/paimon/index/IndexFileHandler.java b/paimon-core/src/main/java/org/apache/paimon/index/IndexFileHandler.java index ae4c6f51b7d4..afafb42ecc33 100644 --- a/paimon-core/src/main/java/org/apache/paimon/index/IndexFileHandler.java +++ b/paimon-core/src/main/java/org/apache/paimon/index/IndexFileHandler.java @@ -28,6 +28,7 @@ import org.apache.paimon.manifest.IndexManifestFile; import org.apache.paimon.table.source.DeletionFile; import org.apache.paimon.utils.IntIterator; +import org.apache.paimon.utils.Pair; import org.apache.paimon.utils.PathFactory; import org.apache.paimon.utils.SnapshotManager; @@ -35,9 +36,11 @@ import java.io.UncheckedIOException; import java.util.ArrayList; import java.util.Collections; +import java.util.HashMap; import java.util.List; import java.util.Map; import java.util.Optional; +import java.util.Set; import static org.apache.paimon.deletionvectors.DeletionVectorsIndexFile.DELETION_VECTORS_INDEX; import static org.apache.paimon.index.HashIndexFile.HASH_INDEX; @@ -69,14 +72,6 @@ public DeletionVectorsIndexFile deletionVectorsIndex() { return this.deletionVectorsIndex; } - public List scan() { - Snapshot snapshot = snapshotManager.latestSnapshot(); - if (snapshot == null || snapshot.indexManifest() == null) { - return Collections.emptyList(); - } - return indexManifestFile.read(snapshot.indexManifest()); - } - public Optional scanHashIndex(long snapshotId, BinaryRow partition, int bucket) { List result = scan(snapshotId, HASH_INDEX, partition, bucket); if (result.size() > 1) { @@ -88,9 +83,8 @@ public Optional scanHashIndex(long snapshotId, BinaryRow partitio public List scan( long snapshotId, String indexType, BinaryRow partition, int bucket) { - List entries = scan(snapshotId, indexType, partition); List result = new ArrayList<>(); - for (IndexManifestEntry file : entries) { + for (IndexManifestEntry file : scanEntries(snapshotId, indexType, partition)) { if (file.bucket() == bucket) { result.add(file.indexFile()); } @@ -98,31 +92,54 @@ public List scan( return result; } - public List scan(String indexType, BinaryRow partition) { + public Map, List> scan( + long snapshotId, String indexType, Set partitions) { + Map, List> result = new HashMap<>(); + for (IndexManifestEntry file : scanEntries(snapshotId, indexType, partitions)) { + result.computeIfAbsent(Pair.of(file.partition(), file.bucket()), k -> new ArrayList<>()) + .add(file.indexFile()); + } + return result; + } + + public List scanEntries() { + Snapshot snapshot = snapshotManager.latestSnapshot(); + if (snapshot == null || snapshot.indexManifest() == null) { + return Collections.emptyList(); + } + + return indexManifestFile.read(snapshot.indexManifest()); + } + + public List scanEntries(String indexType, BinaryRow partition) { Long snapshot = snapshotManager.latestSnapshotId(); if (snapshot == null) { return Collections.emptyList(); } - return scan(snapshot, indexType, partition); + return scanEntries(snapshot, indexType, partition); } - public List scan(long snapshotId, String indexType, BinaryRow partition) { + public List scanEntries( + long snapshotId, String indexType, BinaryRow partition) { + return scanEntries(snapshotId, indexType, Collections.singleton(partition)); + } + + public List scanEntries( + long snapshotId, String indexType, Set partitions) { Snapshot snapshot = snapshotManager.snapshot(snapshotId); String indexManifest = snapshot.indexManifest(); if (indexManifest == null) { return Collections.emptyList(); } - List allFiles = indexManifestFile.read(indexManifest); List result = new ArrayList<>(); - for (IndexManifestEntry file : allFiles) { + for (IndexManifestEntry file : indexManifestFile.read(indexManifest)) { if (file.indexFile().indexType().equals(indexType) - && file.partition().equals(partition)) { + && partitions.contains(file.partition())) { result.add(file); } } - return result; } diff --git a/paimon-core/src/main/java/org/apache/paimon/index/PartitionIndex.java b/paimon-core/src/main/java/org/apache/paimon/index/PartitionIndex.java index 79ff72656216..bace2c1ac13f 100644 --- a/paimon-core/src/main/java/org/apache/paimon/index/PartitionIndex.java +++ b/paimon-core/src/main/java/org/apache/paimon/index/PartitionIndex.java @@ -111,7 +111,7 @@ public static PartitionIndex loadIndex( long targetBucketRowNumber, IntPredicate loadFilter, IntPredicate bucketFilter) { - List files = indexFileHandler.scan(HASH_INDEX, partition); + List files = indexFileHandler.scanEntries(HASH_INDEX, partition); Int2ShortHashMap.Builder mapBuilder = Int2ShortHashMap.builder(); Map buckets = new HashMap<>(); for (IndexManifestEntry file : files) { diff --git a/paimon-core/src/main/java/org/apache/paimon/table/source/snapshot/SnapshotReaderImpl.java b/paimon-core/src/main/java/org/apache/paimon/table/source/snapshot/SnapshotReaderImpl.java index 6e27a24807cf..bd9e48e4cc95 100644 --- a/paimon-core/src/main/java/org/apache/paimon/table/source/snapshot/SnapshotReaderImpl.java +++ b/paimon-core/src/main/java/org/apache/paimon/table/source/snapshot/SnapshotReaderImpl.java @@ -270,6 +270,12 @@ private List generateSplits( SplitGenerator splitGenerator, Map>> groupedDataFiles) { List splits = new ArrayList<>(); + // Read deletion indexes at once to reduce file IO + Map, List> deletionIndexFilesMap = + deletionVectors + ? indexFileHandler.scan( + snapshotId, DELETION_VECTORS_INDEX, groupedDataFiles.keySet()) + : Collections.emptyMap(); for (Map.Entry>> entry : groupedDataFiles.entrySet()) { BinaryRow partition = entry.getKey(); @@ -287,12 +293,9 @@ private List generateSplits( isStreaming ? splitGenerator.splitForStreaming(bucketFiles) : splitGenerator.splitForBatch(bucketFiles); - List deletionIndexFiles = - deletionVectors - ? indexFileHandler.scan( - snapshotId, DELETION_VECTORS_INDEX, partition, bucket) - : Collections.emptyList(); + deletionIndexFilesMap.getOrDefault( + Pair.of(partition, bucket), Collections.emptyList()); for (SplitGenerator.SplitGroup splitGroup : splitGroups) { List dataFiles = splitGroup.files; String bucketPath = pathFactory.bucketPath(partition, bucket).toString(); @@ -350,6 +353,17 @@ private Plan toChangesPlan( (part, bucketMap) -> buckets.computeIfAbsent(part, k -> new HashSet<>()) .addAll(bucketMap.keySet())); + // Read deletion indexes at once to reduce file IO + Map, List> beforDeletionIndexFilesMap = + deletionVectors + ? indexFileHandler.scan( + beforeSnapshotId, DELETION_VECTORS_INDEX, beforeFiles.keySet()) + : Collections.emptyMap(); + Map, List> deletionIndexFilesMap = + deletionVectors + ? indexFileHandler.scan( + plan.snapshotId(), DELETION_VECTORS_INDEX, dataFiles.keySet()) + : Collections.emptyMap(); for (Map.Entry> entry : buckets.entrySet()) { BinaryRow part = entry.getKey(); @@ -376,15 +390,16 @@ private Plan toChangesPlan( .isStreaming(isStreaming) .withBucketPath(pathFactory.bucketPath(part, bucket).toString()); if (deletionVectors) { - List beforeDeletionIndexes = - indexFileHandler.scan( - beforeSnapshotId, DELETION_VECTORS_INDEX, part, bucket); - List deletionIndexes = - indexFileHandler.scan( - plan.snapshotId(), DELETION_VECTORS_INDEX, part, bucket); builder.withBeforeDeletionFiles( - getDeletionFiles(before, beforeDeletionIndexes)); - builder.withDataDeletionFiles(getDeletionFiles(data, deletionIndexes)); + getDeletionFiles( + before, + beforDeletionIndexFilesMap.getOrDefault( + Pair.of(part, bucket), Collections.emptyList()))); + builder.withDataDeletionFiles( + getDeletionFiles( + data, + deletionIndexFilesMap.getOrDefault( + Pair.of(part, bucket), Collections.emptyList()))); } splits.add(builder.build()); } diff --git a/paimon-core/src/test/java/org/apache/paimon/operation/FileStoreCommitTest.java b/paimon-core/src/test/java/org/apache/paimon/operation/FileStoreCommitTest.java index 695b023aad70..a60554db2449 100644 --- a/paimon-core/src/test/java/org/apache/paimon/operation/FileStoreCommitTest.java +++ b/paimon-core/src/test/java/org/apache/paimon/operation/FileStoreCommitTest.java @@ -725,7 +725,7 @@ public void testIndexFiles() throws Exception { // assert part1 List part1Index = - indexFileHandler.scan(snapshot.id(), HASH_INDEX, part1); + indexFileHandler.scanEntries(snapshot.id(), HASH_INDEX, part1); assertThat(part1Index.size()).isEqualTo(2); IndexManifestEntry indexManifestEntry = @@ -740,7 +740,7 @@ public void testIndexFiles() throws Exception { // assert part2 List part2Index = - indexFileHandler.scan(snapshot.id(), HASH_INDEX, part2); + indexFileHandler.scanEntries(snapshot.id(), HASH_INDEX, part2); assertThat(part2Index.size()).isEqualTo(1); assertThat(part2Index.get(0).bucket()).isEqualTo(2); assertThat(indexFileHandler.readHashIndexList(part2Index.get(0).indexFile())) @@ -752,7 +752,7 @@ public void testIndexFiles() throws Exception { snapshot = store.snapshotManager().latestSnapshot(); // assert update part1 - part1Index = indexFileHandler.scan(snapshot.id(), HASH_INDEX, part1); + part1Index = indexFileHandler.scanEntries(snapshot.id(), HASH_INDEX, part1); assertThat(part1Index.size()).isEqualTo(2); indexManifestEntry = diff --git a/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/DynamicBucketTableITCase.java b/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/DynamicBucketTableITCase.java index bb27851f14d2..30506495f649 100644 --- a/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/DynamicBucketTableITCase.java +++ b/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/DynamicBucketTableITCase.java @@ -122,7 +122,7 @@ public void testOverwrite() throws Exception { IndexFileHandler indexFileHandler = table.store().newIndexFileHandler(); List partitions = table.newScan().listPartitions(); List entries = new ArrayList<>(); - partitions.forEach(p -> entries.addAll(indexFileHandler.scan(HASH_INDEX, p))); + partitions.forEach(p -> entries.addAll(indexFileHandler.scanEntries(HASH_INDEX, p))); Long records = entries.stream().map(entry -> entry.indexFile().rowCount()).reduce(Long::sum).get(); From 53c0f3d71802bcf30494afff7a44775fcb56ae59 Mon Sep 17 00:00:00 2001 From: TaoZex <2633363995@qq.com> Date: Mon, 1 Jul 2024 20:31:56 +0800 Subject: [PATCH 06/41] [core] Rename merge_branch to fast_forward (#3643) --- docs/content/flink/procedures.md | 8 ++-- docs/content/maintenance/manage-branches.md | 10 ++--- docs/content/spark/procedures.md | 6 +-- .../privilege/PrivilegedFileStoreTable.java | 4 +- .../paimon/table/AbstractFileStoreTable.java | 4 +- .../apache/paimon/table/ReadonlyTable.java | 4 +- .../java/org/apache/paimon/table/Table.java | 2 +- .../apache/paimon/utils/BranchManager.java | 6 +-- .../paimon/table/FileStoreTableTestBase.java | 18 ++++---- ...anchAction.java => FastForwardAction.java} | 8 ++-- ...ory.java => FastForwardActionFactory.java} | 14 +++---- ...ocedure.java => FastForwardProcedure.java} | 10 ++--- .../org.apache.paimon.factories.Factory | 4 +- .../flink/action/BranchActionITCase.java | 42 +++++++++---------- .../apache/paimon/spark/SparkProcedures.java | 4 +- ...ocedure.java => FastForwardProcedure.java} | 18 ++++---- .../procedure/MergeBranchProcedureTest.scala | 10 ++--- 17 files changed, 85 insertions(+), 87 deletions(-) rename paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action/{MergeBranchAction.java => FastForwardAction.java} (88%) rename paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action/{MergeBranchActionFactory.java => FastForwardActionFactory.java} (82%) rename paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/procedure/{MergeBranchProcedure.java => FastForwardProcedure.java} (86%) rename paimon-spark/paimon-spark-common/src/main/java/org/apache/paimon/spark/procedure/{MergeBranchProcedure.java => FastForwardProcedure.java} (83%) diff --git a/docs/content/flink/procedures.md b/docs/content/flink/procedures.md index 242b8403ca7a..3adccb7abef1 100644 --- a/docs/content/flink/procedures.md +++ b/docs/content/flink/procedures.md @@ -337,17 +337,17 @@ All available procedures are listed below. - merge_branch + fast_forward - CALL [catalog.]sys.merge_branch('identifier', 'branchName') + CALL [catalog.]sys.fast_forward('identifier', 'branchName') - To merge a branch to main branch. Arguments: + To fast_forward a branch to main branch. Arguments:

      1. identifier: the target table identifier. Cannot be empty.
      2. branchName: name of the branch to be merged.
      3. - CALL sys.merge_branch('default.T', 'branch1') + CALL sys.fast_forward('default.T', 'branch1') diff --git a/docs/content/maintenance/manage-branches.md b/docs/content/maintenance/manage-branches.md index 2e9dead9be33..ccd2402a1c26 100644 --- a/docs/content/maintenance/manage-branches.md +++ b/docs/content/maintenance/manage-branches.md @@ -127,16 +127,16 @@ INSERT INTO t /*+ OPTIONS('branch' = 'branch1') */ SELECT ... {{< /tabs >}} -## Merge Branch +## Fast Forward -Merging the custom branch to main will delete all the snapshots, tags and schemas in the main branch that are created after the branch's initial tag. And copy snapshots, tags and schemas from the branch to the main branch. +Fast-Forward the custom branch to main will delete all the snapshots, tags and schemas in the main branch that are created after the branch's initial tag. And copy snapshots, tags and schemas from the branch to the main branch. -{{< tabs "merge-branch" >}} +{{< tabs "fast_forward" >}} {{< tab "Flink" >}} ```sql -CALL sys.merge_branch('default.T', 'branch1'); +CALL sys.fast_forward('default.T', 'branch1'); ``` {{< /tab >}} @@ -148,7 +148,7 @@ Run the following command: ```bash /bin/flink run \ /path/to/paimon-flink-action-{{< version >}}.jar \ - merge_branch \ + fast_forward \ --warehouse \ --database \ --table \ diff --git a/docs/content/spark/procedures.md b/docs/content/spark/procedures.md index 87bc6f64c5cb..472dba56963b 100644 --- a/docs/content/spark/procedures.md +++ b/docs/content/spark/procedures.md @@ -175,14 +175,14 @@ This section introduce all available spark procedures about paimon. - merge_branch + fast_forward - To merge a branch to main branch. Arguments: + To fast_forward a branch to main branch. Arguments:
      4. table: the target table identifier. Cannot be empty.
      5. branch: name of the branch to be merged.
      6. - CALL sys.merge_branch(table => 'test_db.T', branch => 'test_branch') + CALL sys.fast_forward(table => 'test_db.T', branch => 'test_branch') diff --git a/paimon-core/src/main/java/org/apache/paimon/privilege/PrivilegedFileStoreTable.java b/paimon-core/src/main/java/org/apache/paimon/privilege/PrivilegedFileStoreTable.java index 30f2288f829e..d33e73b8fa3b 100644 --- a/paimon-core/src/main/java/org/apache/paimon/privilege/PrivilegedFileStoreTable.java +++ b/paimon-core/src/main/java/org/apache/paimon/privilege/PrivilegedFileStoreTable.java @@ -205,9 +205,9 @@ public void deleteBranch(String branchName) { } @Override - public void mergeBranch(String branchName) { + public void fastForward(String branchName) { privilegeChecker.assertCanInsert(identifier); - wrapped.mergeBranch(branchName); + wrapped.fastForward(branchName); } @Override diff --git a/paimon-core/src/main/java/org/apache/paimon/table/AbstractFileStoreTable.java b/paimon-core/src/main/java/org/apache/paimon/table/AbstractFileStoreTable.java index 2a4a8e8c3ad2..10bc386ca77c 100644 --- a/paimon-core/src/main/java/org/apache/paimon/table/AbstractFileStoreTable.java +++ b/paimon-core/src/main/java/org/apache/paimon/table/AbstractFileStoreTable.java @@ -525,8 +525,8 @@ public void deleteBranch(String branchName) { } @Override - public void mergeBranch(String branchName) { - branchManager().mergeBranch(branchName); + public void fastForward(String branchName) { + branchManager().fastForward(branchName); } @Override diff --git a/paimon-core/src/main/java/org/apache/paimon/table/ReadonlyTable.java b/paimon-core/src/main/java/org/apache/paimon/table/ReadonlyTable.java index c92f4ce5f61a..8989ab366342 100644 --- a/paimon-core/src/main/java/org/apache/paimon/table/ReadonlyTable.java +++ b/paimon-core/src/main/java/org/apache/paimon/table/ReadonlyTable.java @@ -183,10 +183,10 @@ default void deleteBranch(String branchName) { } @Override - default void mergeBranch(String branchName) { + default void fastForward(String branchName) { throw new UnsupportedOperationException( String.format( - "Readonly Table %s does not support mergeBranch.", + "Readonly Table %s does not support fastForward.", this.getClass().getSimpleName())); } diff --git a/paimon-core/src/main/java/org/apache/paimon/table/Table.java b/paimon-core/src/main/java/org/apache/paimon/table/Table.java index aeca29d63cbb..5f35c4be4315 100644 --- a/paimon-core/src/main/java/org/apache/paimon/table/Table.java +++ b/paimon-core/src/main/java/org/apache/paimon/table/Table.java @@ -113,7 +113,7 @@ public interface Table extends Serializable { /** Merge a branch to main branch. */ @Experimental - void mergeBranch(String branchName); + void fastForward(String branchName); /** Manually expire snapshots, parameters can be controlled independently of table options. */ @Experimental diff --git a/paimon-core/src/main/java/org/apache/paimon/utils/BranchManager.java b/paimon-core/src/main/java/org/apache/paimon/utils/BranchManager.java index a2ae6d6f7984..8cda5a4edbe1 100644 --- a/paimon-core/src/main/java/org/apache/paimon/utils/BranchManager.java +++ b/paimon-core/src/main/java/org/apache/paimon/utils/BranchManager.java @@ -222,10 +222,10 @@ public boolean fileExists(Path path) { } } - public void mergeBranch(String branchName) { + public void fastForward(String branchName) { checkArgument( !branchName.equals(DEFAULT_MAIN_BRANCH), - "Branch name '%s' do not use in merge branch.", + "Branch name '%s' do not use in fast-forward.", branchName); checkArgument(!StringUtils.isBlank(branchName), "Branch name '%s' is blank.", branchName); checkArgument(branchExists(branchName), "Branch name '%s' doesn't exist.", branchName); @@ -291,7 +291,7 @@ public void mergeBranch(String branchName) { } catch (IOException e) { throw new RuntimeException( String.format( - "Exception occurs when merge branch '%s' (directory in %s).", + "Exception occurs when fast forward '%s' (directory in %s).", branchName, branchPath(tablePath, branchName)), e); } diff --git a/paimon-core/src/test/java/org/apache/paimon/table/FileStoreTableTestBase.java b/paimon-core/src/test/java/org/apache/paimon/table/FileStoreTableTestBase.java index 9e0a7c224132..53559b843861 100644 --- a/paimon-core/src/test/java/org/apache/paimon/table/FileStoreTableTestBase.java +++ b/paimon-core/src/test/java/org/apache/paimon/table/FileStoreTableTestBase.java @@ -1166,7 +1166,7 @@ public void testDeleteBranch() throws Exception { } @Test - public void testMergeBranch() throws Exception { + public void testfastForward() throws Exception { FileStoreTable table = createFileStoreTable(); generateBranch(table); FileStoreTable tableBranch = createFileStoreTable(BRANCH_NAME); @@ -1180,17 +1180,17 @@ public void testMergeBranch() throws Exception { .containsExactlyInAnyOrder("0|0|0|binary|varbinary|mapKey:mapVal|multiset"); // Test for unsupported branch name - assertThatThrownBy(() -> table.mergeBranch("test-branch")) + assertThatThrownBy(() -> table.fastForward("test-branch")) .satisfies( anyCauseMatches( IllegalArgumentException.class, "Branch name 'test-branch' doesn't exist.")); - assertThatThrownBy(() -> table.mergeBranch("main")) + assertThatThrownBy(() -> table.fastForward("main")) .satisfies( anyCauseMatches( IllegalArgumentException.class, - "Branch name 'main' do not use in merge branch.")); + "Branch name 'main' do not use in fast-forward.")); // Write data to branch1 try (StreamTableWrite write = tableBranch.newWrite(commitUser); @@ -1217,10 +1217,10 @@ public void testMergeBranch() throws Exception { BATCH_ROW_TO_STRING)) .containsExactlyInAnyOrder("0|0|0|binary|varbinary|mapKey:mapVal|multiset"); - // Merge branch1 to main branch - table.mergeBranch(BRANCH_NAME); + // Fast-forward branch1 to main branch + table.fastForward(BRANCH_NAME); - // After merge branch1, verify branch1 and the main branch have the same data + // After fast-forward branch1, verify branch1 and the main branch have the same data assertThat( getResult( table.newRead(), @@ -1279,8 +1279,8 @@ public void testMergeBranch() throws Exception { "0|0|0|binary|varbinary|mapKey:mapVal|multiset", "2|20|200|binary|varbinary|mapKey:mapVal|multiset"); - // Merge branch1 to main branch again - table.mergeBranch("branch1"); + // Fast-forward branch1 to main branch again + table.fastForward("branch1"); // Verify data in main branch is same to branch1 assertThat( diff --git a/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action/MergeBranchAction.java b/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action/FastForwardAction.java similarity index 88% rename from paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action/MergeBranchAction.java rename to paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action/FastForwardAction.java index 405f80f8fa9d..b13c004c0d96 100644 --- a/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action/MergeBranchAction.java +++ b/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action/FastForwardAction.java @@ -20,11 +20,11 @@ import java.util.Map; -/** Merge branch action for Flink. */ -public class MergeBranchAction extends TableActionBase { +/** Fast Forward action for Flink. */ +public class FastForwardAction extends TableActionBase { private final String branchName; - public MergeBranchAction( + public FastForwardAction( String warehouse, String databaseName, String tableName, @@ -36,6 +36,6 @@ public MergeBranchAction( @Override public void run() throws Exception { - table.mergeBranch(branchName); + table.fastForward(branchName); } } diff --git a/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action/MergeBranchActionFactory.java b/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action/FastForwardActionFactory.java similarity index 82% rename from paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action/MergeBranchActionFactory.java rename to paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action/FastForwardActionFactory.java index 0916079a728f..b1e2228c6592 100644 --- a/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action/MergeBranchActionFactory.java +++ b/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action/FastForwardActionFactory.java @@ -23,10 +23,10 @@ import java.util.Map; import java.util.Optional; -/** Factory to create {@link MergeBranchAction}. */ -public class MergeBranchActionFactory implements ActionFactory { +/** Factory to create {@link FastForwardAction}. */ +public class FastForwardActionFactory implements ActionFactory { - public static final String IDENTIFIER = "merge_branch"; + public static final String IDENTIFIER = "fast_forward"; private static final String BRANCH_NAME = "branch_name"; @@ -43,20 +43,20 @@ public Optional create(MultipleParameterToolAdapter params) { Map catalogConfig = optionalConfigMap(params, CATALOG_CONF); String branchName = params.get(BRANCH_NAME); - MergeBranchAction action = - new MergeBranchAction( + FastForwardAction action = + new FastForwardAction( tablePath.f0, tablePath.f1, tablePath.f2, catalogConfig, branchName); return Optional.of(action); } @Override public void printHelp() { - System.out.println("Action \"merge_branch\" merge a branch by name."); + System.out.println("Action \"fast_forward\" fast_forward a branch by name."); System.out.println(); System.out.println("Syntax:"); System.out.println( - " merge_branch --warehouse --database " + " fast_forward --warehouse --database " + "--table --branch_name "); System.out.println(); } diff --git a/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/procedure/MergeBranchProcedure.java b/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/procedure/FastForwardProcedure.java similarity index 86% rename from paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/procedure/MergeBranchProcedure.java rename to paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/procedure/FastForwardProcedure.java index e7eb3eb33bb8..e77749f1147d 100644 --- a/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/procedure/MergeBranchProcedure.java +++ b/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/procedure/FastForwardProcedure.java @@ -25,15 +25,15 @@ import org.apache.flink.table.procedure.ProcedureContext; /** - * Merge branch procedure for given branch. Usage: + * Fast Forward procedure for given branch. Usage: * *
        
        - *  CALL sys.merge_branch('tableId', 'branchName')
        + *  CALL sys.fast_forward('tableId', 'branchName')
          * 
        */ -public class MergeBranchProcedure extends ProcedureBase { +public class FastForwardProcedure extends ProcedureBase { - public static final String IDENTIFIER = "merge_branch"; + public static final String IDENTIFIER = "fast_forward"; @Override public String identifier() { @@ -48,7 +48,7 @@ public String[] call(ProcedureContext procedureContext, String tableId, String b private String[] innerCall(String tableId, String branchName) throws Catalog.TableNotExistException { Table table = catalog.getTable(Identifier.fromString(tableId)); - table.mergeBranch(branchName); + table.fastForward(branchName); return new String[] {"Success"}; } } diff --git a/paimon-flink/paimon-flink-common/src/main/resources/META-INF/services/org.apache.paimon.factories.Factory b/paimon-flink/paimon-flink-common/src/main/resources/META-INF/services/org.apache.paimon.factories.Factory index 6d6eb7aa2d7a..d243aa3c9d91 100644 --- a/paimon-flink/paimon-flink-common/src/main/resources/META-INF/services/org.apache.paimon.factories.Factory +++ b/paimon-flink/paimon-flink-common/src/main/resources/META-INF/services/org.apache.paimon.factories.Factory @@ -32,7 +32,7 @@ org.apache.paimon.flink.action.ExpirePartitionsActionFactory org.apache.paimon.flink.action.MarkPartitionDoneActionFactory org.apache.paimon.flink.action.CreateBranchActionFactory org.apache.paimon.flink.action.DeleteBranchActionFactory -org.apache.paimon.flink.action.MergeBranchActionFactory +org.apache.paimon.flink.action.FastForwardActionFactory ### procedure factories org.apache.paimon.flink.procedure.CompactDatabaseProcedure @@ -59,5 +59,5 @@ org.apache.paimon.flink.procedure.privilege.DropPrivilegedUserProcedure org.apache.paimon.flink.procedure.privilege.GrantPrivilegeToUserProcedure org.apache.paimon.flink.procedure.privilege.RevokePrivilegeFromUserProcedure org.apache.paimon.flink.procedure.RepairProcedure -org.apache.paimon.flink.procedure.MergeBranchProcedure +org.apache.paimon.flink.procedure.FastForwardProcedure org.apache.paimon.flink.procedure.MarkPartitionDoneProcedure diff --git a/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/action/BranchActionITCase.java b/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/action/BranchActionITCase.java index abbddfe39797..21a35964eb3d 100644 --- a/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/action/BranchActionITCase.java +++ b/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/action/BranchActionITCase.java @@ -259,7 +259,7 @@ void testCreateAndDeleteEmptyBranch() throws Exception { } @Test - void testMergeBranch() throws Exception { + void testFastForward() throws Exception { init(warehouse); RowType rowType = RowType.of( @@ -292,14 +292,14 @@ void testMergeBranch() throws Exception { String.format("CALL sys.create_tag('%s.%s', 'tag3', 3)", database, tableName)); assertThat(tagManager.tagExists("tag3")).isTrue(); - // Create merge_branch_name branch + // Create branch_name branch BranchManager branchManager = table.branchManager(); callProcedure( String.format( - "CALL sys.create_branch('%s.%s', 'merge_branch_name', 'tag2')", + "CALL sys.create_branch('%s.%s', 'branch_name', 'tag2')", database, tableName)); - assertThat(branchManager.branchExists("merge_branch_name")).isTrue(); - // Create merge_branch_name_action branch + assertThat(branchManager.branchExists("branch_name")).isTrue(); + // Create branch_name_action branch createAction( CreateBranchAction.class, "create_branch", @@ -310,26 +310,25 @@ void testMergeBranch() throws Exception { "--table", tableName, "--branch_name", - "merge_branch_name_action", + "branch_name_action", "--tag_name", "tag3") .run(); - assertThat(branchManager.branchExists("merge_branch_name_action")).isTrue(); + assertThat(branchManager.branchExists("branch_name_action")).isTrue(); - // Merge branch merge_branch_name + // Fast-forward branch branch_name callProcedure( String.format( - "CALL sys.merge_branch('%s.%s', 'merge_branch_name')", - database, tableName)); + "CALL sys.fast_forward('%s.%s', 'branch_name')", database, tableName)); // Check snapshot SnapshotManager snapshotManager = table.snapshotManager(); assertThat(snapshotManager.snapshotExists(3)).isFalse(); - // Merge branch merge_branch_name_action + // Fast-forward branch branch_name_action createAction( - MergeBranchAction.class, - "merge_branch", + FastForwardAction.class, + "fast_forward", "--warehouse", warehouse, "--database", @@ -337,7 +336,7 @@ void testMergeBranch() throws Exception { "--table", tableName, "--branch_name", - "merge_branch_name_action") + "branch_name_action") .run(); // Check snapshot @@ -347,7 +346,7 @@ void testMergeBranch() throws Exception { write = writeBuilder.newWrite(); commit = writeBuilder.newCommit(); - // Add data, forward to merge branch + // Add data, fast-forward branch for (long i = 4; i < 14; i++) { writeData(rowData(i, BinaryString.fromString(String.format("new.data_%s", i)))); } @@ -372,11 +371,10 @@ void testMergeBranch() throws Exception { "+I[13, new.data_13]"); Assert.assertEquals(expected, sortedActual); - // Merge branch merge_branch_name again + // Fast-forward branch branch_name again callProcedure( String.format( - "CALL sys.merge_branch('%s.%s', 'merge_branch_name')", - database, tableName)); + "CALL sys.fast_forward('%s.%s', 'branch_name')", database, tableName)); // Check main branch data result = readTableData(table); @@ -384,10 +382,10 @@ void testMergeBranch() throws Exception { expected = Arrays.asList("+I[1, Hi]", "+I[2, Hello]"); Assert.assertEquals(expected, sortedActual); - // Merge branch merge_branch_name_action again + // Fast-forward branch branch_name_action again createAction( - MergeBranchAction.class, - "merge_branch", + FastForwardAction.class, + "fast_forward", "--warehouse", warehouse, "--database", @@ -395,7 +393,7 @@ void testMergeBranch() throws Exception { "--table", tableName, "--branch_name", - "merge_branch_name_action") + "branch_name_action") .run(); // Check main branch data diff --git a/paimon-spark/paimon-spark-common/src/main/java/org/apache/paimon/spark/SparkProcedures.java b/paimon-spark/paimon-spark-common/src/main/java/org/apache/paimon/spark/SparkProcedures.java index d423e2045098..36d5082661fe 100644 --- a/paimon-spark/paimon-spark-common/src/main/java/org/apache/paimon/spark/SparkProcedures.java +++ b/paimon-spark/paimon-spark-common/src/main/java/org/apache/paimon/spark/SparkProcedures.java @@ -25,7 +25,7 @@ import org.apache.paimon.spark.procedure.DeleteTagProcedure; import org.apache.paimon.spark.procedure.ExpirePartitionsProcedure; import org.apache.paimon.spark.procedure.ExpireSnapshotsProcedure; -import org.apache.paimon.spark.procedure.MergeBranchProcedure; +import org.apache.paimon.spark.procedure.FastForwardProcedure; import org.apache.paimon.spark.procedure.MigrateFileProcedure; import org.apache.paimon.spark.procedure.MigrateTableProcedure; import org.apache.paimon.spark.procedure.Procedure; @@ -68,7 +68,7 @@ private static Map> initProcedureBuilders() { procedureBuilders.put("expire_snapshots", ExpireSnapshotsProcedure::builder); procedureBuilders.put("expire_partitions", ExpirePartitionsProcedure::builder); procedureBuilders.put("repair", RepairProcedure::builder); - procedureBuilders.put("merge_branch", MergeBranchProcedure::builder); + procedureBuilders.put("fast_forward", FastForwardProcedure::builder); procedureBuilders.put("reset_consumer", ResetConsumerProcedure::builder); return procedureBuilders.build(); } diff --git a/paimon-spark/paimon-spark-common/src/main/java/org/apache/paimon/spark/procedure/MergeBranchProcedure.java b/paimon-spark/paimon-spark-common/src/main/java/org/apache/paimon/spark/procedure/FastForwardProcedure.java similarity index 83% rename from paimon-spark/paimon-spark-common/src/main/java/org/apache/paimon/spark/procedure/MergeBranchProcedure.java rename to paimon-spark/paimon-spark-common/src/main/java/org/apache/paimon/spark/procedure/FastForwardProcedure.java index ce2db3297f8c..84a76fd7971c 100644 --- a/paimon-spark/paimon-spark-common/src/main/java/org/apache/paimon/spark/procedure/MergeBranchProcedure.java +++ b/paimon-spark/paimon-spark-common/src/main/java/org/apache/paimon/spark/procedure/FastForwardProcedure.java @@ -29,13 +29,13 @@ import static org.apache.spark.sql.types.DataTypes.StringType; /** - * Merge branch procedure for given branch. Usage: + * Fast-forward branch procedure for given branch. Usage: * *
        
        - *  CALL sys.merge_branch('tableId', 'branchName')
        + *  CALL sys.fast_forward('tableId', 'branchName')
          * 
        */ -public class MergeBranchProcedure extends BaseProcedure { +public class FastForwardProcedure extends BaseProcedure { private static final ProcedureParameter[] PARAMETERS = new ProcedureParameter[] { @@ -49,7 +49,7 @@ public class MergeBranchProcedure extends BaseProcedure { new StructField("result", DataTypes.BooleanType, true, Metadata.empty()) }); - protected MergeBranchProcedure(TableCatalog tableCatalog) { + protected FastForwardProcedure(TableCatalog tableCatalog) { super(tableCatalog); } @@ -70,23 +70,23 @@ public InternalRow[] call(InternalRow args) { return modifyPaimonTable( tableIdent, table -> { - table.mergeBranch(branch); + table.fastForward(branch); InternalRow outputRow = newInternalRow(true); return new InternalRow[] {outputRow}; }); } public static ProcedureBuilder builder() { - return new BaseProcedure.Builder() { + return new BaseProcedure.Builder() { @Override - public MergeBranchProcedure doBuild() { - return new MergeBranchProcedure(tableCatalog()); + public FastForwardProcedure doBuild() { + return new FastForwardProcedure(tableCatalog()); } }; } @Override public String description() { - return "MergeBranchProcedure"; + return "FastForwardProcedure"; } } diff --git a/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/procedure/MergeBranchProcedureTest.scala b/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/procedure/MergeBranchProcedureTest.scala index 47fb867901d9..0b52a23ba808 100644 --- a/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/procedure/MergeBranchProcedureTest.scala +++ b/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/procedure/MergeBranchProcedureTest.scala @@ -22,9 +22,9 @@ import org.apache.paimon.spark.PaimonSparkTestBase import org.apache.spark.sql.Row -class MergeBranchProcedureTest extends PaimonSparkTestBase { +class FastForwardProcedureTest extends PaimonSparkTestBase { - test("Paimon procedure: merge branch test") { + test("Paimon procedure: fast forward test") { spark.sql(s""" |CREATE TABLE T (id STRING, name STRING) |USING PAIMON @@ -48,7 +48,7 @@ class MergeBranchProcedureTest extends PaimonSparkTestBase { Row(true) :: Nil) checkAnswer( - spark.sql("CALL paimon.sys.merge_branch(table => 'test.T', branch => 'test_branch')"), + spark.sql("CALL paimon.sys.fast_forward(table => 'test.T', branch => 'test_branch')"), Row(true) :: Nil) spark.sql(s"INSERT INTO T VALUES ('5', 'e')") @@ -58,11 +58,11 @@ class MergeBranchProcedureTest extends PaimonSparkTestBase { spark.sql("SELECT * FROM T"), Row("1", "a") :: Row("2", "b") :: Row("5", "e") :: Row("6", "f") :: Nil) + // fast_forward again checkAnswer( - spark.sql("CALL paimon.sys.merge_branch(table => 'test.T', branch => 'test_branch')"), + spark.sql("CALL paimon.sys.fast_forward(table => 'test.T', branch => 'test_branch')"), Row(true) :: Nil) - // merge_branch again checkAnswer(spark.sql("SELECT * FROM T"), Row("1", "a") :: Row("2", "b") :: Nil) } From 5598066a01f80179a6d03b8a30b81a00dc1c4714 Mon Sep 17 00:00:00 2001 From: Jingsong Date: Tue, 2 Jul 2024 10:28:36 +0800 Subject: [PATCH 07/41] [doc] Note changelog-producer to compact performance --- docs/content/maintenance/manage-snapshots.md | 2 +- docs/content/primary-key-table/changelog-producer.md | 4 +--- 2 files changed, 2 insertions(+), 4 deletions(-) diff --git a/docs/content/maintenance/manage-snapshots.md b/docs/content/maintenance/manage-snapshots.md index e2ea92c37645..a974b0da99a7 100644 --- a/docs/content/maintenance/manage-snapshots.md +++ b/docs/content/maintenance/manage-snapshots.md @@ -216,7 +216,7 @@ Please note that too short retain time or too small retain number may result in: - Batch queries cannot find the file. For example, the table is relatively large and the batch query takes 10 minutes to read, but the snapshot from 10 minutes ago expires, at which point the batch query will read a deleted snapshot. -- Streaming reading jobs on table files (without the external log system) fail to restart. +- Streaming reading jobs on table files fail to restart. When the job restarts, the snapshot it recorded may have expired. (You can use [Consumer Id]({{< ref "flink/sql-query#consumer-id" >}}) to protect streaming reading in a small retain time of snapshot expiration). diff --git a/docs/content/primary-key-table/changelog-producer.md b/docs/content/primary-key-table/changelog-producer.md index 88ae5817e5df..bf7a23fae2a5 100644 --- a/docs/content/primary-key-table/changelog-producer.md +++ b/docs/content/primary-key-table/changelog-producer.md @@ -31,9 +31,7 @@ Streaming write can continuously produce the latest changes for streaming read. By specifying the `changelog-producer` table property when creating the table, users can choose the pattern of changes produced from table files. {{< hint info >}} - -The `changelog-producer` table property only affects changelog from table files. It does not affect the external log system. - +`changelog-producer` may significantly reduce compaction performance, please do not enable it unless necessary. {{< /hint >}} ## None From 9d8aa9e665222aeda8264783c5007b03f83247f3 Mon Sep 17 00:00:00 2001 From: Kerwin <37063904+zhuangchong@users.noreply.github.com> Date: Tue, 2 Jul 2024 15:26:24 +0800 Subject: [PATCH 08/41] [flink] Fix unstable RemoteLookupJoinITCase.testServiceFileCleaned test method. (#3653) --- .../org/apache/paimon/flink/query/RemoteTableQuery.java | 7 +++++++ .../org/apache/paimon/flink/RemoteLookupJoinITCase.java | 6 ++---- .../org/apache/paimon/service/client/KvQueryClient.java | 6 +++++- 3 files changed, 14 insertions(+), 5 deletions(-) diff --git a/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/query/RemoteTableQuery.java b/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/query/RemoteTableQuery.java index fc07e58f91cc..62edd6bae89c 100644 --- a/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/query/RemoteTableQuery.java +++ b/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/query/RemoteTableQuery.java @@ -18,6 +18,7 @@ package org.apache.paimon.flink.query; +import org.apache.paimon.annotation.VisibleForTesting; import org.apache.paimon.data.BinaryRow; import org.apache.paimon.data.InternalRow; import org.apache.paimon.data.serializer.InternalRowSerializer; @@ -35,6 +36,7 @@ import javax.annotation.Nullable; import java.io.IOException; +import java.util.concurrent.CompletableFuture; import java.util.concurrent.ExecutionException; import static org.apache.paimon.service.ServiceManager.PRIMARY_KEY_LOOKUP; @@ -109,4 +111,9 @@ public InternalRowSerializer createValueSerializer() { public void close() throws IOException { client.shutdown(); } + + @VisibleForTesting + public CompletableFuture cancel() { + return client.shutdownFuture(); + } } diff --git a/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/RemoteLookupJoinITCase.java b/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/RemoteLookupJoinITCase.java index 13c674662c4c..336c58217100 100644 --- a/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/RemoteLookupJoinITCase.java +++ b/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/RemoteLookupJoinITCase.java @@ -39,7 +39,6 @@ import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; import org.apache.flink.types.Row; import org.apache.flink.util.CloseableIterator; -import org.junit.jupiter.api.Disabled; import org.junit.jupiter.api.Test; import java.io.Closeable; @@ -95,7 +94,7 @@ public void testQueryServiceLookup() throws Exception { assertThat(query.lookup(row(), 0, row(5))).isNull(); service.close(); - query.close(); + query.cancel().get(); } @Test @@ -135,7 +134,6 @@ public void testLookupRemoteTable() throws Throwable { proxy.close(); } - @Disabled // TODO Fix unstable @Test public void testServiceFileCleaned() throws Exception { sql( @@ -153,7 +151,7 @@ public void testServiceFileCleaned() throws Exception { .isEqualTo(11); client.cancel().get(); - query.close(); + query.cancel().get(); ServiceManager serviceManager = paimonTable("DIM").store().newServiceManager(); assertThat(serviceManager.service(PRIMARY_KEY_LOOKUP).isPresent()).isFalse(); } diff --git a/paimon-service/paimon-service-client/src/main/java/org/apache/paimon/service/client/KvQueryClient.java b/paimon-service/paimon-service-client/src/main/java/org/apache/paimon/service/client/KvQueryClient.java index 60c1ac0f8bd3..a1b950c27d70 100644 --- a/paimon-service/paimon-service-client/src/main/java/org/apache/paimon/service/client/KvQueryClient.java +++ b/paimon-service/paimon-service-client/src/main/java/org/apache/paimon/service/client/KvQueryClient.java @@ -110,10 +110,14 @@ private CompletableFuture getResponse( public void shutdown() { try { - networkClient.shutdown().get(10L, TimeUnit.SECONDS); + shutdownFuture().get(60L, TimeUnit.SECONDS); LOG.info("{} was shutdown successfully.", networkClient.getClientName()); } catch (Exception e) { LOG.warn(String.format("%s shutdown failed.", networkClient.getClientName()), e); } } + + public CompletableFuture shutdownFuture() { + return networkClient.shutdown(); + } } From cf230b888fefc3e49929105eef05ba72fe0887c5 Mon Sep 17 00:00:00 2001 From: TaoZex <2633363995@qq.com> Date: Tue, 2 Jul 2024 19:07:56 +0800 Subject: [PATCH 09/41] [Core]Clean orphan files for branch (#2863) * [Core]Clean orphan files for branch --- .../apache/paimon/utils/BranchManager.java | 11 ++++++ .../apache/paimon/utils/SnapshotManager.java | 38 ++++++++++++++++++- .../operation/OrphanFilesCleanTest.java | 12 ++++++ 3 files changed, 59 insertions(+), 2 deletions(-) diff --git a/paimon-core/src/main/java/org/apache/paimon/utils/BranchManager.java b/paimon-core/src/main/java/org/apache/paimon/utils/BranchManager.java index 8cda5a4edbe1..6ff8d4c2a2e0 100644 --- a/paimon-core/src/main/java/org/apache/paimon/utils/BranchManager.java +++ b/paimon-core/src/main/java/org/apache/paimon/utils/BranchManager.java @@ -41,6 +41,7 @@ import java.util.stream.Collectors; import java.util.stream.Stream; +import static org.apache.paimon.utils.FileUtils.listOriginalVersionedFiles; import static org.apache.paimon.utils.FileUtils.listVersionedDirectories; import static org.apache.paimon.utils.FileUtils.listVersionedFileStatus; import static org.apache.paimon.utils.Preconditions.checkArgument; @@ -77,6 +78,16 @@ public Path branchDirectory() { return new Path(tablePath + "/branch"); } + /** Return the root Directory of branch by given tablePath. */ + public static Path branchDirectory(Path tablePath) { + return new Path(tablePath + "/branch"); + } + + public static List branchNames(FileIO fileIO, Path tablePath) throws IOException { + return listOriginalVersionedFiles(fileIO, branchDirectory(tablePath), BRANCH_PREFIX) + .collect(Collectors.toList()); + } + public static boolean isMainBranch(String branch) { return branch.equals(DEFAULT_MAIN_BRANCH); } diff --git a/paimon-core/src/main/java/org/apache/paimon/utils/SnapshotManager.java b/paimon-core/src/main/java/org/apache/paimon/utils/SnapshotManager.java index c7273475348a..ca88259defef 100644 --- a/paimon-core/src/main/java/org/apache/paimon/utils/SnapshotManager.java +++ b/paimon-core/src/main/java/org/apache/paimon/utils/SnapshotManager.java @@ -47,6 +47,7 @@ import java.util.stream.LongStream; import static org.apache.paimon.utils.BranchManager.DEFAULT_MAIN_BRANCH; +import static org.apache.paimon.utils.BranchManager.branchNames; import static org.apache.paimon.utils.BranchManager.branchPath; import static org.apache.paimon.utils.FileUtils.listVersionedFiles; @@ -107,6 +108,10 @@ public Path snapshotDirectory() { return new Path(branchPath(tablePath, branch) + "/snapshot"); } + public static Path snapshotDirectory(Path tablePath, String branch) { + return new Path(branchPath(tablePath, branch) + "/snapshot"); + } + public Snapshot snapshot(long snapshotId) { Path snapshotPath = snapshotPath(snapshotId); return Snapshot.fromPath(fileIO, snapshotPath); @@ -390,11 +395,25 @@ public Iterator changelogs() throws IOException { * be deleted by other processes, so just skip this snapshot. */ public List safelyGetAllSnapshots() throws IOException { + // For main branch List paths = listVersionedFiles(fileIO, snapshotDirectory(), SNAPSHOT_PREFIX) .map(id -> snapshotPath(id)) .collect(Collectors.toList()); + // For other branch + List allBranchNames = branchNames(fileIO, tablePath); + for (String branchName : allBranchNames) { + List branchPaths = + listVersionedFiles( + fileIO, + snapshotDirectory(tablePath, branchName), + SNAPSHOT_PREFIX) + .map(this::snapshotPath) + .collect(Collectors.toList()); + paths.addAll(branchPaths); + } + List snapshots = new ArrayList<>(); for (Path path : paths) { Snapshot snapshot = Snapshot.safelyFromPath(fileIO, path); @@ -428,8 +447,23 @@ public List safelyGetAllChangelogs() throws IOException { * Try to get non snapshot files. If any error occurred, just ignore it and return an empty * result. */ - public List tryGetNonSnapshotFiles(Predicate fileStatusFilter) { - return listPathWithFilter(snapshotDirectory(), fileStatusFilter, nonSnapshotFileFilter()); + public List tryGetNonSnapshotFiles(Predicate fileStatusFilter) + throws IOException { + // For main branch + List nonSnapshotFiles = + listPathWithFilter(snapshotDirectory(), fileStatusFilter, nonSnapshotFileFilter()); + + // For other branch + List allBranchNames = branchNames(fileIO, tablePath); + allBranchNames.stream() + .map( + branchName -> + listPathWithFilter( + snapshotDirectory(tablePath, branchName), + fileStatusFilter, + nonSnapshotFileFilter())) + .forEach(nonSnapshotFiles::addAll); + return nonSnapshotFiles; } public List tryGetNonChangelogFiles(Predicate fileStatusFilter) { diff --git a/paimon-core/src/test/java/org/apache/paimon/operation/OrphanFilesCleanTest.java b/paimon-core/src/test/java/org/apache/paimon/operation/OrphanFilesCleanTest.java index 6dbd33c76de4..ec9197b8b9af 100644 --- a/paimon-core/src/test/java/org/apache/paimon/operation/OrphanFilesCleanTest.java +++ b/paimon-core/src/test/java/org/apache/paimon/operation/OrphanFilesCleanTest.java @@ -81,6 +81,7 @@ import static org.apache.paimon.io.DataFilePathFactory.CHANGELOG_FILE_PREFIX; import static org.apache.paimon.io.DataFilePathFactory.DATA_FILE_PREFIX; +import static org.apache.paimon.utils.BranchManager.branchPath; import static org.apache.paimon.utils.FileStorePathFactory.BUCKET_PATH_PREFIX; import static org.assertj.core.api.Assertions.assertThat; @@ -148,6 +149,9 @@ public void testNormallyRemoving() throws Throwable { } } + // create branch1 by tag + table.createBranch("branch1", allTags.get(0)); + // generate non used files int shouldBeDeleted = generateUnUsedFile(); assertThat(manuallyAddedFiles.size()).isEqualTo(shouldBeDeleted); @@ -465,6 +469,14 @@ private int generateUnUsedFile() throws Exception { fileNum, Arrays.asList("manifest-list-", "manifest-", "index-manifest-", "UNKNOWN-")); shouldBeDeleted += fileNum; + + // branch snapshot + addNonUsedFiles( + new Path(branchPath(tablePath, "branch1") + "/snapshot"), + fileNum, + Collections.singletonList("UNKNOWN")); + shouldBeDeleted += fileNum; + return shouldBeDeleted; } From 3c3d384253015680217036e0e5456366e5ef1051 Mon Sep 17 00:00:00 2001 From: xuzifu666 <1206332514@qq.com> Date: Tue, 2 Jul 2024 21:35:57 +0800 Subject: [PATCH 10/41] [flink] Introduce RepairTable Action for flink (#3652) --- .../paimon/flink/action/RepairAction.java | 43 ++++++++ .../flink/action/RepairActionFactory.java | 69 +++++++++++++ .../flink/procedure/RepairProcedure.java | 5 + .../org.apache.paimon.factories.Factory | 1 + .../hive/procedure/RepairActionITCase.java | 98 +++++++++++++++++++ 5 files changed, 216 insertions(+) create mode 100644 paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action/RepairAction.java create mode 100644 paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action/RepairActionFactory.java create mode 100644 paimon-hive/paimon-hive-connector-common/src/test/java/org/apache/paimon/hive/procedure/RepairActionITCase.java diff --git a/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action/RepairAction.java b/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action/RepairAction.java new file mode 100644 index 000000000000..69fe5b409796 --- /dev/null +++ b/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action/RepairAction.java @@ -0,0 +1,43 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.paimon.flink.action; + +import org.apache.paimon.flink.procedure.RepairProcedure; + +import org.apache.flink.table.procedure.DefaultProcedureContext; + +import java.util.Map; + +/** Repair action for Flink. */ +public class RepairAction extends ActionBase { + + private final String identifier; + + public RepairAction(String warehouse, String identifier, Map catalogConfig) { + super(warehouse, catalogConfig); + this.identifier = identifier; + } + + @Override + public void run() throws Exception { + RepairProcedure repairProcedure = new RepairProcedure(); + repairProcedure.withCatalog(catalog); + repairProcedure.call(new DefaultProcedureContext(env), identifier); + } +} diff --git a/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action/RepairActionFactory.java b/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action/RepairActionFactory.java new file mode 100644 index 000000000000..44542877c3df --- /dev/null +++ b/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action/RepairActionFactory.java @@ -0,0 +1,69 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.paimon.flink.action; + +import java.util.Map; +import java.util.Optional; + +/** Factory to create {@link RepairAction}. */ +public class RepairActionFactory implements ActionFactory { + + public static final String IDENTIFIER = "repair"; + + private static final String IDENTIFIER_KEY = "identifier"; + + @Override + public String identifier() { + return IDENTIFIER; + } + + @Override + public Optional create(MultipleParameterToolAdapter params) { + String warehouse = params.get(WAREHOUSE); + Map catalogConfig = optionalConfigMap(params, CATALOG_CONF); + String identifier = params.get(IDENTIFIER_KEY); + RepairAction action = new RepairAction(warehouse, identifier, catalogConfig); + return Optional.of(action); + } + + @Override + public void printHelp() { + System.out.println( + "Action \"repair\" synchronize information from the file system to Metastore."); + System.out.println(); + + System.out.println("Syntax:"); + System.out.println( + " repair --warehouse [--identifier ] "); + System.out.println(); + + System.out.println( + "If --identifier is not provided, all databases and tables in the catalog will be synchronized."); + System.out.println( + "If --identifier is a database name, all tables in that database will be synchronized."); + System.out.println( + "If --identifier is a databaseName.tableName, only that specific table will be synchronized."); + System.out.println(); + + System.out.println("Examples:"); + System.out.println(" repair --warehouse hdfs:///path/to/warehouse"); + System.out.println(" repair --warehouse hdfs:///path/to/warehouse --identifier test_db"); + System.out.println(" repair --warehouse hdfs:///path/to/warehouse --identifier test_db.T"); + } +} diff --git a/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/procedure/RepairProcedure.java b/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/procedure/RepairProcedure.java index d637eb0b70e1..ce20ba4d9005 100644 --- a/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/procedure/RepairProcedure.java +++ b/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/procedure/RepairProcedure.java @@ -20,6 +20,7 @@ import org.apache.paimon.catalog.Catalog; import org.apache.paimon.catalog.Identifier; +import org.apache.paimon.hive.HiveCatalog; import org.apache.paimon.utils.StringUtils; import org.apache.flink.table.procedure.ProcedureContext; @@ -54,6 +55,10 @@ public String[] call(ProcedureContext procedureContext) public String[] call(ProcedureContext procedureContext, String identifier) throws Catalog.DatabaseNotExistException, Catalog.TableNotExistException { + if (!(catalog instanceof HiveCatalog)) { + throw new IllegalArgumentException("Only support Hive Catalog"); + } + if (StringUtils.isBlank(identifier)) { catalog.repairCatalog(); return new String[] {"Success"}; diff --git a/paimon-flink/paimon-flink-common/src/main/resources/META-INF/services/org.apache.paimon.factories.Factory b/paimon-flink/paimon-flink-common/src/main/resources/META-INF/services/org.apache.paimon.factories.Factory index d243aa3c9d91..6d3dc249179b 100644 --- a/paimon-flink/paimon-flink-common/src/main/resources/META-INF/services/org.apache.paimon.factories.Factory +++ b/paimon-flink/paimon-flink-common/src/main/resources/META-INF/services/org.apache.paimon.factories.Factory @@ -33,6 +33,7 @@ org.apache.paimon.flink.action.MarkPartitionDoneActionFactory org.apache.paimon.flink.action.CreateBranchActionFactory org.apache.paimon.flink.action.DeleteBranchActionFactory org.apache.paimon.flink.action.FastForwardActionFactory +org.apache.paimon.flink.action.RepairActionFactory ### procedure factories org.apache.paimon.flink.procedure.CompactDatabaseProcedure diff --git a/paimon-hive/paimon-hive-connector-common/src/test/java/org/apache/paimon/hive/procedure/RepairActionITCase.java b/paimon-hive/paimon-hive-connector-common/src/test/java/org/apache/paimon/hive/procedure/RepairActionITCase.java new file mode 100644 index 000000000000..51b1027a887b --- /dev/null +++ b/paimon-hive/paimon-hive-connector-common/src/test/java/org/apache/paimon/hive/procedure/RepairActionITCase.java @@ -0,0 +1,98 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.paimon.hive.procedure; + +import org.apache.paimon.flink.action.ActionITCaseBase; +import org.apache.paimon.flink.action.RepairAction; +import org.apache.paimon.hive.TestHiveMetastore; + +import org.apache.paimon.shade.guava30.com.google.common.collect.ImmutableList; + +import org.apache.flink.table.api.TableEnvironment; +import org.apache.flink.types.Row; +import org.apache.hadoop.hive.conf.HiveConf; +import org.junit.jupiter.api.AfterEach; +import org.junit.jupiter.api.BeforeEach; +import org.junit.jupiter.api.Test; + +import java.util.HashMap; +import java.util.List; +import java.util.Map; + +import static org.assertj.core.api.Assertions.assertThat; + +/** Tests for {@link RepairAction}. */ +public class RepairActionITCase extends ActionITCaseBase { + + private static final TestHiveMetastore TEST_HIVE_METASTORE = new TestHiveMetastore(); + + private static final int PORT = 9083; + + @BeforeEach + public void beforeEach() { + TEST_HIVE_METASTORE.start(PORT); + } + + @AfterEach + public void afterEach() throws Exception { + TEST_HIVE_METASTORE.stop(); + } + + @Test + public void testRepairTableAction() throws Exception { + TableEnvironment tEnv = tableEnvironmentBuilder().batchMode().build(); + tEnv.executeSql( + "CREATE CATALOG PAIMON WITH ('type'='paimon', 'metastore' = 'hive', 'uri' = 'thrift://localhost:" + + PORT + + "' , 'warehouse' = '" + + System.getProperty(HiveConf.ConfVars.METASTOREWAREHOUSE.varname) + + "')"); + tEnv.useCatalog("PAIMON"); + + tEnv.executeSql("CREATE DATABASE IF NOT EXISTS test_db;").await(); + tEnv.executeSql("USE test_db").await(); + tEnv.executeSql( + "CREATE TABLE t_repair_hive (\n" + + " user_id BIGINT,\n" + + " behavior STRING,\n" + + " dt STRING,\n" + + " hh STRING,\n" + + " PRIMARY KEY (dt, hh, user_id) NOT ENFORCED\n" + + ") PARTITIONED BY (dt, hh)" + + " WITH (\n" + + "'metastore.partitioned-table' = 'true'\n" + + ");") + .await(); + tEnv.executeSql("INSERT INTO t_repair_hive VALUES(1, 'login', '2020-01-02', '09')").await(); + Map catalogConf = new HashMap<>(); + catalogConf.put("metastore", "hive"); + catalogConf.put("uri", "thrift://localhost:" + PORT); + RepairAction repairAction = + new RepairAction( + System.getProperty(HiveConf.ConfVars.METASTOREWAREHOUSE.varname), + "test_db.t_repair_hive", + catalogConf); + repairAction.run(); + + List ret = + ImmutableList.copyOf(tEnv.executeSql("SHOW PARTITIONS t_repair_hive").collect()); + assertThat(ret.size() == 1).isTrue(); + assertThat(ret.get(0).toString()).isEqualTo("+I[dt=2020-01-02/hh=09]"); + } +} From ddd41a417a7b2636e0a0fef762f92745ff5f6d10 Mon Sep 17 00:00:00 2001 From: Wenchao Wu <60921147+Stephen0421@users.noreply.github.com> Date: Wed, 3 Jul 2024 10:37:48 +0800 Subject: [PATCH 11/41] [parquet] support read parquet nested columns. (#3656) --- .../data/columnar/heap/HeapRowVector.java | 6 +- .../apache/paimon/utils/BooleanArrayList.java | 65 ++ .../org/apache/paimon/utils/IntArrayList.java | 89 +++ .../apache/paimon/utils/LongArrayList.java | 79 +++ .../format/parquet/ParquetReaderFactory.java | 21 +- .../parquet/position/CollectionPosition.java | 54 ++ .../parquet/position/LevelDelegation.java | 38 ++ .../format/parquet/position/RowPosition.java | 40 ++ .../parquet/reader/NestedColumnReader.java | 255 +++++++ .../parquet/reader/NestedPositionUtil.java | 208 ++++++ .../reader/NestedPrimitiveColumnReader.java | 622 ++++++++++++++++++ .../parquet/reader/ParquetDecimalVector.java | 161 ++++- .../reader/ParquetSplitReaderUtil.java | 263 ++++++-- .../format/parquet/type/ParquetField.java | 66 ++ .../parquet/type/ParquetGroupField.java | 47 ++ .../parquet/type/ParquetPrimitiveField.java | 51 ++ .../format/parquet/ParquetReadWriteTest.java | 329 ++++++++- 17 files changed, 2332 insertions(+), 62 deletions(-) create mode 100644 paimon-common/src/main/java/org/apache/paimon/utils/BooleanArrayList.java create mode 100644 paimon-common/src/main/java/org/apache/paimon/utils/IntArrayList.java create mode 100644 paimon-common/src/main/java/org/apache/paimon/utils/LongArrayList.java create mode 100644 paimon-format/src/main/java/org/apache/paimon/format/parquet/position/CollectionPosition.java create mode 100644 paimon-format/src/main/java/org/apache/paimon/format/parquet/position/LevelDelegation.java create mode 100644 paimon-format/src/main/java/org/apache/paimon/format/parquet/position/RowPosition.java create mode 100644 paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/NestedColumnReader.java create mode 100644 paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/NestedPositionUtil.java create mode 100644 paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/NestedPrimitiveColumnReader.java create mode 100644 paimon-format/src/main/java/org/apache/paimon/format/parquet/type/ParquetField.java create mode 100644 paimon-format/src/main/java/org/apache/paimon/format/parquet/type/ParquetGroupField.java create mode 100644 paimon-format/src/main/java/org/apache/paimon/format/parquet/type/ParquetPrimitiveField.java diff --git a/paimon-common/src/main/java/org/apache/paimon/data/columnar/heap/HeapRowVector.java b/paimon-common/src/main/java/org/apache/paimon/data/columnar/heap/HeapRowVector.java index bfa16ce963f9..37d619bde785 100644 --- a/paimon-common/src/main/java/org/apache/paimon/data/columnar/heap/HeapRowVector.java +++ b/paimon-common/src/main/java/org/apache/paimon/data/columnar/heap/HeapRowVector.java @@ -27,7 +27,7 @@ public class HeapRowVector extends AbstractHeapVector implements WritableColumnVector, RowColumnVector { - private final WritableColumnVector[] fields; + private WritableColumnVector[] fields; public HeapRowVector(int len, WritableColumnVector... fields) { super(len); @@ -57,4 +57,8 @@ public void reset() { field.reset(); } } + + public void setFields(WritableColumnVector[] fields) { + this.fields = fields; + } } diff --git a/paimon-common/src/main/java/org/apache/paimon/utils/BooleanArrayList.java b/paimon-common/src/main/java/org/apache/paimon/utils/BooleanArrayList.java new file mode 100644 index 000000000000..cbb16b703cd1 --- /dev/null +++ b/paimon-common/src/main/java/org/apache/paimon/utils/BooleanArrayList.java @@ -0,0 +1,65 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.paimon.utils; + +import java.util.Arrays; + +/** Minimal implementation of an array-backed list of booleans. */ +public class BooleanArrayList { + private int size; + + private boolean[] array; + + public BooleanArrayList(int capacity) { + this.size = 0; + this.array = new boolean[capacity]; + } + + public int size() { + return size; + } + + public boolean add(boolean element) { + grow(size + 1); + array[size++] = element; + return true; + } + + public void clear() { + size = 0; + } + + public boolean isEmpty() { + return (size == 0); + } + + public boolean[] toArray() { + return Arrays.copyOf(array, size); + } + + private void grow(int length) { + if (length > array.length) { + final int newLength = + (int) Math.max(Math.min(2L * array.length, Integer.MAX_VALUE - 8), length); + final boolean[] t = new boolean[newLength]; + System.arraycopy(array, 0, t, 0, size); + array = t; + } + } +} diff --git a/paimon-common/src/main/java/org/apache/paimon/utils/IntArrayList.java b/paimon-common/src/main/java/org/apache/paimon/utils/IntArrayList.java new file mode 100644 index 000000000000..575fae02a233 --- /dev/null +++ b/paimon-common/src/main/java/org/apache/paimon/utils/IntArrayList.java @@ -0,0 +1,89 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.paimon.utils; + +import java.util.Arrays; +import java.util.NoSuchElementException; + +/** Minimal implementation of an array-backed list of ints. */ +public class IntArrayList { + + private int size; + + private int[] array; + + public IntArrayList(final int capacity) { + this.size = 0; + this.array = new int[capacity]; + } + + public int size() { + return size; + } + + public boolean add(final int number) { + grow(size + 1); + array[size++] = number; + return true; + } + + public int removeLast() { + if (size == 0) { + throw new NoSuchElementException(); + } + --size; + return array[size]; + } + + public void clear() { + size = 0; + } + + public boolean isEmpty() { + return size == 0; + } + + private void grow(final int length) { + if (length > array.length) { + final int newLength = + (int) Math.max(Math.min(2L * array.length, Integer.MAX_VALUE - 8), length); + final int[] t = new int[newLength]; + System.arraycopy(array, 0, t, 0, size); + array = t; + } + } + + public int[] toArray() { + return Arrays.copyOf(array, size); + } + + public static final IntArrayList EMPTY = + new IntArrayList(0) { + + @Override + public boolean add(int number) { + throw new UnsupportedOperationException(); + } + + @Override + public int removeLast() { + throw new UnsupportedOperationException(); + } + }; +} diff --git a/paimon-common/src/main/java/org/apache/paimon/utils/LongArrayList.java b/paimon-common/src/main/java/org/apache/paimon/utils/LongArrayList.java new file mode 100644 index 000000000000..e94f468972b5 --- /dev/null +++ b/paimon-common/src/main/java/org/apache/paimon/utils/LongArrayList.java @@ -0,0 +1,79 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.paimon.utils; + +import java.util.Arrays; + +/** Minimal implementation of an array-backed list of longs. */ +public class LongArrayList { + + private int size; + + private long[] array; + + public LongArrayList(int capacity) { + this.size = 0; + this.array = new long[capacity]; + } + + public int size() { + return size; + } + + public boolean add(long number) { + grow(size + 1); + array[size++] = number; + return true; + } + + public long removeLong(int index) { + if (index >= size) { + throw new IndexOutOfBoundsException( + "Index (" + index + ") is greater than or equal to list size (" + size + ")"); + } + final long old = array[index]; + size--; + if (index != size) { + System.arraycopy(array, index + 1, array, index, size - index); + } + return old; + } + + public void clear() { + size = 0; + } + + public boolean isEmpty() { + return (size == 0); + } + + public long[] toArray() { + return Arrays.copyOf(array, size); + } + + private void grow(int length) { + if (length > array.length) { + final int newLength = + (int) Math.max(Math.min(2L * array.length, Integer.MAX_VALUE - 8), length); + final long[] t = new long[newLength]; + System.arraycopy(array, 0, t, 0, size); + array = t; + } + } +} diff --git a/paimon-format/src/main/java/org/apache/paimon/format/parquet/ParquetReaderFactory.java b/paimon-format/src/main/java/org/apache/paimon/format/parquet/ParquetReaderFactory.java index afaf8a501423..b0715bb5389d 100644 --- a/paimon-format/src/main/java/org/apache/paimon/format/parquet/ParquetReaderFactory.java +++ b/paimon-format/src/main/java/org/apache/paimon/format/parquet/ParquetReaderFactory.java @@ -28,6 +28,7 @@ import org.apache.paimon.format.parquet.reader.ColumnReader; import org.apache.paimon.format.parquet.reader.ParquetDecimalVector; import org.apache.paimon.format.parquet.reader.ParquetTimestampVector; +import org.apache.paimon.format.parquet.type.ParquetField; import org.apache.paimon.fs.Path; import org.apache.paimon.options.Options; import org.apache.paimon.reader.RecordReader; @@ -42,6 +43,8 @@ import org.apache.parquet.filter2.compat.FilterCompat; import org.apache.parquet.hadoop.ParquetFileReader; import org.apache.parquet.hadoop.ParquetInputFormat; +import org.apache.parquet.io.ColumnIOFactory; +import org.apache.parquet.io.MessageColumnIO; import org.apache.parquet.schema.GroupType; import org.apache.parquet.schema.MessageType; import org.apache.parquet.schema.Type; @@ -57,6 +60,7 @@ import java.util.List; import java.util.Set; +import static org.apache.paimon.format.parquet.reader.ParquetSplitReaderUtil.buildFieldsList; import static org.apache.paimon.format.parquet.reader.ParquetSplitReaderUtil.createColumnReader; import static org.apache.paimon.format.parquet.reader.ParquetSplitReaderUtil.createWritableColumnVector; import static org.apache.parquet.hadoop.UnmaterializableRecordCounter.BAD_RECORD_THRESHOLD_CONF_KEY; @@ -72,6 +76,8 @@ public class ParquetReaderFactory implements FormatReaderFactory { private static final String ALLOCATION_SIZE = "parquet.read.allocation.size"; private final Options conf; + + private final RowType projectedType; private final String[] projectedFields; private final DataType[] projectedTypes; private final int batchSize; @@ -81,6 +87,7 @@ public class ParquetReaderFactory implements FormatReaderFactory { public ParquetReaderFactory( Options conf, RowType projectedType, int batchSize, FilterCompat.Filter filter) { this.conf = conf; + this.projectedType = projectedType; this.projectedFields = projectedType.getFieldNames().toArray(new String[0]); this.projectedTypes = projectedType.getFieldTypes().toArray(new DataType[0]); this.batchSize = batchSize; @@ -106,7 +113,12 @@ public ParquetReader createReader(FormatReaderFactory.Context context) throws IO Pool poolOfBatches = createPoolOfBatches(context.filePath(), requestedSchema); - return new ParquetReader(reader, requestedSchema, reader.getRecordCount(), poolOfBatches); + MessageColumnIO columnIO = new ColumnIOFactory().getColumnIO(requestedSchema); + List fields = + buildFieldsList(projectedType.getFields(), projectedType.getFieldNames(), columnIO); + + return new ParquetReader( + reader, requestedSchema, reader.getRecordCount(), poolOfBatches, fields); } private void setReadOptions(ParquetReadOptions.Builder builder) { @@ -270,11 +282,14 @@ private class ParquetReader implements RecordReader { @SuppressWarnings("rawtypes") private ColumnReader[] columnReaders; + private final List fields; + private ParquetReader( ParquetFileReader reader, MessageType requestedSchema, long totalRowCount, - Pool pool) { + Pool pool, + List fields) { this.reader = reader; this.requestedSchema = requestedSchema; this.totalRowCount = totalRowCount; @@ -283,6 +298,7 @@ private ParquetReader( this.totalCountLoadedSoFar = 0; this.currentRowPosition = 0; this.nextRowPosition = 0; + this.fields = fields; } @Nullable @@ -348,6 +364,7 @@ private void readNextRowGroup() throws IOException { types.get(i), requestedSchema.getColumns(), rowGroup, + fields.get(i), 0); } } diff --git a/paimon-format/src/main/java/org/apache/paimon/format/parquet/position/CollectionPosition.java b/paimon-format/src/main/java/org/apache/paimon/format/parquet/position/CollectionPosition.java new file mode 100644 index 000000000000..e72a4280f4aa --- /dev/null +++ b/paimon-format/src/main/java/org/apache/paimon/format/parquet/position/CollectionPosition.java @@ -0,0 +1,54 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.paimon.format.parquet.position; + +import javax.annotation.Nullable; + +/** To represent collection's position in repeated type. */ +public class CollectionPosition { + @Nullable private final boolean[] isNull; + private final long[] offsets; + + private final long[] length; + + private final int valueCount; + + public CollectionPosition(boolean[] isNull, long[] offsets, long[] length, int valueCount) { + this.isNull = isNull; + this.offsets = offsets; + this.length = length; + this.valueCount = valueCount; + } + + public boolean[] getIsNull() { + return isNull; + } + + public long[] getOffsets() { + return offsets; + } + + public long[] getLength() { + return length; + } + + public int getValueCount() { + return valueCount; + } +} diff --git a/paimon-format/src/main/java/org/apache/paimon/format/parquet/position/LevelDelegation.java b/paimon-format/src/main/java/org/apache/paimon/format/parquet/position/LevelDelegation.java new file mode 100644 index 000000000000..25bbedc861d1 --- /dev/null +++ b/paimon-format/src/main/java/org/apache/paimon/format/parquet/position/LevelDelegation.java @@ -0,0 +1,38 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.paimon.format.parquet.position; + +/** To delegate repetition level and definition level. */ +public class LevelDelegation { + private final int[] repetitionLevel; + private final int[] definitionLevel; + + public LevelDelegation(int[] repetitionLevel, int[] definitionLevel) { + this.repetitionLevel = repetitionLevel; + this.definitionLevel = definitionLevel; + } + + public int[] getRepetitionLevel() { + return repetitionLevel; + } + + public int[] getDefinitionLevel() { + return definitionLevel; + } +} diff --git a/paimon-format/src/main/java/org/apache/paimon/format/parquet/position/RowPosition.java b/paimon-format/src/main/java/org/apache/paimon/format/parquet/position/RowPosition.java new file mode 100644 index 000000000000..fb6378349007 --- /dev/null +++ b/paimon-format/src/main/java/org/apache/paimon/format/parquet/position/RowPosition.java @@ -0,0 +1,40 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.paimon.format.parquet.position; + +import javax.annotation.Nullable; + +/** To represent struct's position in repeated type. */ +public class RowPosition { + @Nullable private final boolean[] isNull; + private final int positionsCount; + + public RowPosition(boolean[] isNull, int positionsCount) { + this.isNull = isNull; + this.positionsCount = positionsCount; + } + + public boolean[] getIsNull() { + return isNull; + } + + public int getPositionsCount() { + return positionsCount; + } +} diff --git a/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/NestedColumnReader.java b/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/NestedColumnReader.java new file mode 100644 index 000000000000..e3900580034b --- /dev/null +++ b/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/NestedColumnReader.java @@ -0,0 +1,255 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.paimon.format.parquet.reader; + +import org.apache.paimon.data.columnar.ColumnVector; +import org.apache.paimon.data.columnar.heap.AbstractHeapVector; +import org.apache.paimon.data.columnar.heap.HeapArrayVector; +import org.apache.paimon.data.columnar.heap.HeapMapVector; +import org.apache.paimon.data.columnar.heap.HeapRowVector; +import org.apache.paimon.data.columnar.writable.WritableColumnVector; +import org.apache.paimon.format.parquet.position.CollectionPosition; +import org.apache.paimon.format.parquet.position.LevelDelegation; +import org.apache.paimon.format.parquet.position.RowPosition; +import org.apache.paimon.format.parquet.type.ParquetField; +import org.apache.paimon.format.parquet.type.ParquetGroupField; +import org.apache.paimon.format.parquet.type.ParquetPrimitiveField; +import org.apache.paimon.types.ArrayType; +import org.apache.paimon.types.MapType; +import org.apache.paimon.types.MultisetType; +import org.apache.paimon.types.RowType; +import org.apache.paimon.utils.Pair; +import org.apache.paimon.utils.Preconditions; + +import org.apache.parquet.column.ColumnDescriptor; +import org.apache.parquet.column.page.PageReadStore; + +import java.io.IOException; +import java.util.HashMap; +import java.util.List; +import java.util.Map; + +/** + * This ColumnReader mainly used to read `Group` type in parquet such as `Map`, `Array`, `Row`. The + * method about how to resolve nested struct mainly refer to :
        The + * striping and assembly algorithms from the Dremel paper. + * + *

        Brief explanation of reading repetition and definition levels: Repetition level equal to 0 + * means that this is the beginning of a new row. Other value means that we should add data to the + * current row. + * + *

        For example, if we have the following data: repetition levels: 0,1,1,0,0,1,[0] (last 0 is + * implicit, normally will be the end of the page) values: a,b,c,d,e,f will consist of the sets of: + * (a, b, c), (d), (e, f).
        + * + *

        Definition levels contains 3 situations: level = maxDefLevel means value exist and is not null + * level = maxDefLevel - 1 means value is null level < maxDefLevel - 1 means value doesn't exist For + * non-nullable (REQUIRED) fields the (level = maxDefLevel - 1) condition means non-existing value + * as well.
        + * + *

        Quick example (maxDefLevel is 2): Read 3 rows out of: repetition levels: 0,1,0,1,1,0,0,... + * definition levels: 2,1,0,2,1,2,... values: a,b,c,d,e,f,... Resulting buffer: a,n, ,d,n,f that + * result is (a,n),(d,n),(f) where n means null + */ +public class NestedColumnReader implements ColumnReader { + + private final Map columnReaders; + private final boolean isUtcTimestamp; + + private final PageReadStore pages; + + private final ParquetField field; + + public NestedColumnReader(boolean isUtcTimestamp, PageReadStore pages, ParquetField field) { + this.isUtcTimestamp = isUtcTimestamp; + this.pages = pages; + this.field = field; + this.columnReaders = new HashMap<>(); + } + + @Override + public void readToVector(int readNumber, WritableColumnVector vector) throws IOException { + readData(field, readNumber, vector, false); + } + + private Pair readData( + ParquetField field, int readNumber, ColumnVector vector, boolean inside) + throws IOException { + if (field.getType() instanceof RowType) { + return readRow((ParquetGroupField) field, readNumber, vector, inside); + } else if (field.getType() instanceof MapType || field.getType() instanceof MultisetType) { + return readMap((ParquetGroupField) field, readNumber, vector, inside); + } else if (field.getType() instanceof ArrayType) { + return readArray((ParquetGroupField) field, readNumber, vector, inside); + } else { + return readPrimitive((ParquetPrimitiveField) field, readNumber, vector); + } + } + + private Pair readRow( + ParquetGroupField field, int readNumber, ColumnVector vector, boolean inside) + throws IOException { + HeapRowVector heapRowVector = (HeapRowVector) vector; + LevelDelegation levelDelegation = null; + List children = field.getChildren(); + WritableColumnVector[] childrenVectors = heapRowVector.getFields(); + WritableColumnVector[] finalChildrenVectors = + new WritableColumnVector[childrenVectors.length]; + for (int i = 0; i < children.size(); i++) { + Pair tuple = + readData(children.get(i), readNumber, childrenVectors[i], true); + levelDelegation = tuple.getLeft(); + finalChildrenVectors[i] = tuple.getRight(); + } + if (levelDelegation == null) { + throw new RuntimeException( + String.format("Row field does not have any children: %s.", field)); + } + + RowPosition rowPosition = + NestedPositionUtil.calculateRowOffsets( + field, + levelDelegation.getDefinitionLevel(), + levelDelegation.getRepetitionLevel()); + + // If row was inside the structure, then we need to renew the vector to reset the + // capacity. + if (inside) { + heapRowVector = + new HeapRowVector(rowPosition.getPositionsCount(), finalChildrenVectors); + } else { + heapRowVector.setFields(finalChildrenVectors); + } + + if (rowPosition.getIsNull() != null) { + setFieldNullFalg(rowPosition.getIsNull(), heapRowVector); + } + return Pair.of(levelDelegation, heapRowVector); + } + + private Pair readMap( + ParquetGroupField field, int readNumber, ColumnVector vector, boolean inside) + throws IOException { + HeapMapVector mapVector = (HeapMapVector) vector; + mapVector.reset(); + List children = field.getChildren(); + Preconditions.checkArgument( + children.size() == 2, + "Maps must have two type parameters, found %s", + children.size()); + Pair keyTuple = + readData(children.get(0), readNumber, mapVector.getKeyColumnVector(), true); + Pair valueTuple = + readData(children.get(1), readNumber, mapVector.getValueColumnVector(), true); + + LevelDelegation levelDelegation = keyTuple.getLeft(); + + CollectionPosition collectionPosition = + NestedPositionUtil.calculateCollectionOffsets( + field, + levelDelegation.getDefinitionLevel(), + levelDelegation.getRepetitionLevel()); + + // If map was inside the structure, then we need to renew the vector to reset the + // capacity. + if (inside) { + mapVector = + new HeapMapVector( + collectionPosition.getValueCount(), + keyTuple.getRight(), + valueTuple.getRight()); + } else { + mapVector.setKeys(keyTuple.getRight()); + mapVector.setValues(valueTuple.getRight()); + } + + if (collectionPosition.getIsNull() != null) { + setFieldNullFalg(collectionPosition.getIsNull(), mapVector); + } + + mapVector.setLengths(collectionPosition.getLength()); + mapVector.setOffsets(collectionPosition.getOffsets()); + + return Pair.of(levelDelegation, mapVector); + } + + private Pair readArray( + ParquetGroupField field, int readNumber, ColumnVector vector, boolean inside) + throws IOException { + HeapArrayVector arrayVector = (HeapArrayVector) vector; + arrayVector.reset(); + List children = field.getChildren(); + Preconditions.checkArgument( + children.size() == 1, + "Arrays must have a single type parameter, found %s", + children.size()); + Pair tuple = + readData(children.get(0), readNumber, arrayVector.getChild(), true); + + LevelDelegation levelDelegation = tuple.getLeft(); + CollectionPosition collectionPosition = + NestedPositionUtil.calculateCollectionOffsets( + field, + levelDelegation.getDefinitionLevel(), + levelDelegation.getRepetitionLevel()); + + // If array was inside the structure, then we need to renew the vector to reset the + // capacity. + if (inside) { + arrayVector = new HeapArrayVector(collectionPosition.getValueCount(), tuple.getRight()); + } else { + arrayVector.setChild(tuple.getRight()); + } + + if (collectionPosition.getIsNull() != null) { + setFieldNullFalg(collectionPosition.getIsNull(), arrayVector); + } + arrayVector.setLengths(collectionPosition.getLength()); + arrayVector.setOffsets(collectionPosition.getOffsets()); + return Pair.of(levelDelegation, arrayVector); + } + + private Pair readPrimitive( + ParquetPrimitiveField field, int readNumber, ColumnVector vector) throws IOException { + ColumnDescriptor descriptor = field.getDescriptor(); + NestedPrimitiveColumnReader reader = columnReaders.get(descriptor); + if (reader == null) { + reader = + new NestedPrimitiveColumnReader( + descriptor, + pages.getPageReader(descriptor), + isUtcTimestamp, + descriptor.getPrimitiveType(), + field.getType()); + columnReaders.put(descriptor, reader); + } + WritableColumnVector writableColumnVector = + reader.readAndNewVector(readNumber, (WritableColumnVector) vector); + return Pair.of(reader.getLevelDelegation(), writableColumnVector); + } + + private static void setFieldNullFalg(boolean[] nullFlags, AbstractHeapVector vector) { + for (int index = 0; index < vector.getLen() && index < nullFlags.length; index++) { + if (nullFlags[index]) { + vector.setNullAt(index); + } + } + } +} diff --git a/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/NestedPositionUtil.java b/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/NestedPositionUtil.java new file mode 100644 index 000000000000..5f0757c23589 --- /dev/null +++ b/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/NestedPositionUtil.java @@ -0,0 +1,208 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.paimon.format.parquet.reader; + +import org.apache.paimon.format.parquet.position.CollectionPosition; +import org.apache.paimon.format.parquet.position.RowPosition; +import org.apache.paimon.format.parquet.type.ParquetField; +import org.apache.paimon.utils.BooleanArrayList; +import org.apache.paimon.utils.LongArrayList; + +import static java.lang.String.format; + +/** Utils to calculate nested type position. */ +public class NestedPositionUtil { + + /** + * Calculate row offsets according to column's max repetition level, definition level, value's + * repetition level and definition level. Each row has three situation: + *

      7. Row is not defined,because it's optional parent fields is null, this is decided by its + * parent's repetition level + *
      8. Row is null + *
      9. Row is defined and not empty. + * + * @param field field that contains the row column message include max repetition level and + * definition level. + * @param fieldRepetitionLevels int array with each value's repetition level. + * @param fieldDefinitionLevels int array with each value's definition level. + * @return {@link RowPosition} contains collections row count and isNull array. + */ + public static RowPosition calculateRowOffsets( + ParquetField field, int[] fieldDefinitionLevels, int[] fieldRepetitionLevels) { + int rowDefinitionLevel = field.getDefinitionLevel(); + int rowRepetitionLevel = field.getRepetitionLevel(); + int nullValuesCount = 0; + BooleanArrayList nullRowFlags = new BooleanArrayList(0); + for (int i = 0; i < fieldDefinitionLevels.length; i++) { + if (fieldRepetitionLevels[i] > rowRepetitionLevel) { + throw new IllegalStateException( + format( + "In parquet's row type field repetition level should not larger than row's repetition level. " + + "Row repetition level is %s, row field repetition level is %s.", + rowRepetitionLevel, fieldRepetitionLevels[i])); + } + + if (fieldDefinitionLevels[i] >= rowDefinitionLevel) { + // current row is defined and not empty + nullRowFlags.add(false); + } else { + // current row is null + nullRowFlags.add(true); + nullValuesCount++; + } + } + if (nullValuesCount == 0) { + return new RowPosition(null, fieldDefinitionLevels.length); + } + return new RowPosition(nullRowFlags.toArray(), nullRowFlags.size()); + } + + /** + * Calculate the collection's offsets according to column's max repetition level, definition + * level, value's repetition level and definition level. Each collection (Array or Map) has four + * situation: + *
      10. Collection is not defined, because optional parent fields is null, this is decided by its + * parent's repetition level + *
      11. Collection is null + *
      12. Collection is defined but empty + *
      13. Collection is defined and not empty. In this case offset value is increased by the number + * of elements in that collection + * + * @param field field that contains array/map column message include max repetition level and + * definition level. + * @param definitionLevels int array with each value's repetition level. + * @param repetitionLevels int array with each value's definition level. + * @return {@link CollectionPosition} contains collections offset array, length array and isNull + * array. + */ + public static CollectionPosition calculateCollectionOffsets( + ParquetField field, int[] definitionLevels, int[] repetitionLevels) { + int collectionDefinitionLevel = field.getDefinitionLevel(); + int collectionRepetitionLevel = field.getRepetitionLevel() + 1; + int offset = 0; + int valueCount = 0; + LongArrayList offsets = new LongArrayList(0); + offsets.add(offset); + BooleanArrayList emptyCollectionFlags = new BooleanArrayList(0); + BooleanArrayList nullCollectionFlags = new BooleanArrayList(0); + int nullValuesCount = 0; + for (int i = 0; + i < definitionLevels.length; + i = getNextCollectionStartIndex(repetitionLevels, collectionRepetitionLevel, i)) { + valueCount++; + if (definitionLevels[i] >= collectionDefinitionLevel - 1) { + boolean isNull = + isOptionalFieldValueNull(definitionLevels[i], collectionDefinitionLevel); + nullCollectionFlags.add(isNull); + nullValuesCount += isNull ? 1 : 0; + // definitionLevels[i] > collectionDefinitionLevel => Collection is defined and not + // empty + // definitionLevels[i] == collectionDefinitionLevel => Collection is defined but + // empty + if (definitionLevels[i] > collectionDefinitionLevel) { + emptyCollectionFlags.add(false); + offset += getCollectionSize(repetitionLevels, collectionRepetitionLevel, i + 1); + } else if (definitionLevels[i] == collectionDefinitionLevel) { + offset++; + emptyCollectionFlags.add(true); + } else { + offset++; + emptyCollectionFlags.add(false); + } + offsets.add(offset); + } else { + // when definitionLevels[i] < collectionDefinitionLevel - 1, it means the collection + // is + // not defined, but we need to regard it as null to avoid getting value wrong. + nullCollectionFlags.add(true); + nullValuesCount++; + offsets.add(++offset); + emptyCollectionFlags.add(false); + } + } + long[] offsetsArray = offsets.toArray(); + long[] length = calculateLengthByOffsets(emptyCollectionFlags.toArray(), offsetsArray); + if (nullValuesCount == 0) { + return new CollectionPosition(null, offsetsArray, length, valueCount); + } + return new CollectionPosition( + nullCollectionFlags.toArray(), offsetsArray, length, valueCount); + } + + public static boolean isOptionalFieldValueNull(int definitionLevel, int maxDefinitionLevel) { + return definitionLevel == maxDefinitionLevel - 1; + } + + public static long[] calculateLengthByOffsets( + boolean[] collectionIsEmpty, long[] arrayOffsets) { + LongArrayList lengthList = new LongArrayList(arrayOffsets.length); + for (int i = 0; i < arrayOffsets.length - 1; i++) { + long offset = arrayOffsets[i]; + long length = arrayOffsets[i + 1] - offset; + if (length < 0) { + throw new IllegalArgumentException( + format( + "Offset is not monotonically ascending. offsets[%s]=%s, offsets[%s]=%s", + i, arrayOffsets[i], i + 1, arrayOffsets[i + 1])); + } + if (collectionIsEmpty[i]) { + length = 0; + } + lengthList.add(length); + } + return lengthList.toArray(); + } + + private static int getNextCollectionStartIndex( + int[] repetitionLevels, int maxRepetitionLevel, int elementIndex) { + do { + elementIndex++; + } while (hasMoreElements(repetitionLevels, elementIndex) + && isNotCollectionBeginningMarker( + repetitionLevels, maxRepetitionLevel, elementIndex)); + return elementIndex; + } + + /** This method is only called for non-empty collections. */ + private static int getCollectionSize( + int[] repetitionLevels, int maxRepetitionLevel, int nextIndex) { + int size = 1; + while (hasMoreElements(repetitionLevels, nextIndex) + && isNotCollectionBeginningMarker( + repetitionLevels, maxRepetitionLevel, nextIndex)) { + // Collection elements cannot only be primitive, but also can have nested structure + // Counting only elements which belong to current collection, skipping inner elements of + // nested collections/structs + if (repetitionLevels[nextIndex] <= maxRepetitionLevel) { + size++; + } + nextIndex++; + } + return size; + } + + private static boolean isNotCollectionBeginningMarker( + int[] repetitionLevels, int maxRepetitionLevel, int nextIndex) { + return repetitionLevels[nextIndex] >= maxRepetitionLevel; + } + + private static boolean hasMoreElements(int[] repetitionLevels, int nextIndex) { + return nextIndex < repetitionLevels.length; + } +} diff --git a/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/NestedPrimitiveColumnReader.java b/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/NestedPrimitiveColumnReader.java new file mode 100644 index 000000000000..dbbf2028ccf6 --- /dev/null +++ b/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/NestedPrimitiveColumnReader.java @@ -0,0 +1,622 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.paimon.format.parquet.reader; + +import org.apache.paimon.data.Timestamp; +import org.apache.paimon.data.columnar.heap.HeapBooleanVector; +import org.apache.paimon.data.columnar.heap.HeapByteVector; +import org.apache.paimon.data.columnar.heap.HeapBytesVector; +import org.apache.paimon.data.columnar.heap.HeapDoubleVector; +import org.apache.paimon.data.columnar.heap.HeapFloatVector; +import org.apache.paimon.data.columnar.heap.HeapIntVector; +import org.apache.paimon.data.columnar.heap.HeapLongVector; +import org.apache.paimon.data.columnar.heap.HeapShortVector; +import org.apache.paimon.data.columnar.heap.HeapTimestampVector; +import org.apache.paimon.data.columnar.writable.WritableColumnVector; +import org.apache.paimon.format.parquet.position.LevelDelegation; +import org.apache.paimon.types.DataType; +import org.apache.paimon.utils.IntArrayList; + +import org.apache.parquet.bytes.ByteBufferInputStream; +import org.apache.parquet.bytes.BytesInput; +import org.apache.parquet.bytes.BytesUtils; +import org.apache.parquet.column.ColumnDescriptor; +import org.apache.parquet.column.Encoding; +import org.apache.parquet.column.page.DataPage; +import org.apache.parquet.column.page.DataPageV1; +import org.apache.parquet.column.page.DataPageV2; +import org.apache.parquet.column.page.DictionaryPage; +import org.apache.parquet.column.page.PageReader; +import org.apache.parquet.column.values.ValuesReader; +import org.apache.parquet.column.values.rle.RunLengthBitPackingHybridDecoder; +import org.apache.parquet.io.ParquetDecodingException; +import org.apache.parquet.schema.PrimitiveType; +import org.apache.parquet.schema.Type; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.io.ByteArrayInputStream; +import java.io.IOException; +import java.util.ArrayList; +import java.util.List; + +import static org.apache.parquet.column.ValuesType.DEFINITION_LEVEL; +import static org.apache.parquet.column.ValuesType.REPETITION_LEVEL; +import static org.apache.parquet.column.ValuesType.VALUES; + +/** Reader to read nested primitive column. */ +public class NestedPrimitiveColumnReader implements ColumnReader { + private static final Logger LOG = LoggerFactory.getLogger(NestedPrimitiveColumnReader.class); + + private final IntArrayList repetitionLevelList = new IntArrayList(0); + private final IntArrayList definitionLevelList = new IntArrayList(0); + + private final PageReader pageReader; + private final ColumnDescriptor descriptor; + private final Type type; + private final DataType dataType; + /** The dictionary, if this column has dictionary encoding. */ + private final ParquetDataColumnReader dictionary; + /** Maximum definition level for this column. */ + private final int maxDefLevel; + + private boolean isUtcTimestamp; + + /** Total number of values read. */ + private long valuesRead; + + /** + * value that indicates the end of the current page. That is, if valuesRead == + * endOfPageValueCount, we are at the end of the page. + */ + private long endOfPageValueCount; + + /** If true, the current page is dictionary encoded. */ + private boolean isCurrentPageDictionaryEncoded; + + private int definitionLevel; + private int repetitionLevel; + + /** Repetition/Definition/Value readers. */ + private IntIterator repetitionLevelColumn; + + private IntIterator definitionLevelColumn; + private ParquetDataColumnReader dataColumn; + + /** Total values in the current page. */ + private int pageValueCount; + + // flag to indicate if there is no data in parquet data page + private boolean eof = false; + + private boolean isFirstRow = true; + + private Object lastValue; + + public NestedPrimitiveColumnReader( + ColumnDescriptor descriptor, + PageReader pageReader, + boolean isUtcTimestamp, + Type parquetType, + DataType dataType) + throws IOException { + this.descriptor = descriptor; + this.type = parquetType; + this.pageReader = pageReader; + this.maxDefLevel = descriptor.getMaxDefinitionLevel(); + this.isUtcTimestamp = isUtcTimestamp; + this.dataType = dataType; + + DictionaryPage dictionaryPage = pageReader.readDictionaryPage(); + if (dictionaryPage != null) { + try { + this.dictionary = + ParquetDataColumnReaderFactory.getDataColumnReaderByTypeOnDictionary( + parquetType.asPrimitiveType(), + dictionaryPage + .getEncoding() + .initDictionary(descriptor, dictionaryPage), + isUtcTimestamp); + this.isCurrentPageDictionaryEncoded = true; + } catch (IOException e) { + throw new IOException( + String.format("Could not decode the dictionary for %s", descriptor), e); + } + } else { + this.dictionary = null; + this.isCurrentPageDictionaryEncoded = false; + } + } + + // This won't call, will actually call readAndNewVector + @Override + public void readToVector(int readNumber, WritableColumnVector vector) throws IOException { + throw new UnsupportedOperationException("This function should no be called."); + } + + public WritableColumnVector readAndNewVector(int readNumber, WritableColumnVector vector) + throws IOException { + if (isFirstRow) { + if (!readValue()) { + return vector; + } + isFirstRow = false; + } + + // index to set value. + int index = 0; + int valueIndex = 0; + List valueList = new ArrayList<>(); + + // repeated type need two loops to read data. + while (!eof && index < readNumber) { + do { + valueList.add(lastValue); + valueIndex++; + } while (readValue() && (repetitionLevel != 0)); + index++; + } + + return fillColumnVector(valueIndex, valueList); + } + + public LevelDelegation getLevelDelegation() { + int[] repetition = repetitionLevelList.toArray(); + int[] definition = definitionLevelList.toArray(); + repetitionLevelList.clear(); + definitionLevelList.clear(); + repetitionLevelList.add(repetitionLevel); + definitionLevelList.add(definitionLevel); + return new LevelDelegation(repetition, definition); + } + + private boolean readValue() throws IOException { + int left = readPageIfNeed(); + if (left > 0) { + // get the values of repetition and definitionLevel + readAndSaveRepetitionAndDefinitionLevels(); + // read the data if it isn't null + if (definitionLevel == maxDefLevel) { + if (isCurrentPageDictionaryEncoded) { + int dictionaryId = dataColumn.readValueDictionaryId(); + lastValue = dictionaryDecodeValue(dataType, dictionaryId); + } else { + lastValue = readPrimitiveTypedRow(dataType); + } + } else { + lastValue = null; + } + return true; + } else { + eof = true; + return false; + } + } + + private void readAndSaveRepetitionAndDefinitionLevels() { + // get the values of repetition and definitionLevel + repetitionLevel = repetitionLevelColumn.nextInt(); + definitionLevel = definitionLevelColumn.nextInt(); + valuesRead++; + repetitionLevelList.add(repetitionLevel); + definitionLevelList.add(definitionLevel); + } + + private int readPageIfNeed() throws IOException { + // Compute the number of values we want to read in this page. + int leftInPage = (int) (endOfPageValueCount - valuesRead); + if (leftInPage == 0) { + // no data left in current page, load data from new page + readPage(); + leftInPage = (int) (endOfPageValueCount - valuesRead); + } + return leftInPage; + } + + private Object readPrimitiveTypedRow(DataType category) { + switch (category.getTypeRoot()) { + case CHAR: + case VARCHAR: + case BINARY: + case VARBINARY: + return dataColumn.readBytes(); + case BOOLEAN: + return dataColumn.readBoolean(); + case TIME_WITHOUT_TIME_ZONE: + case DATE: + case INTEGER: + return dataColumn.readInteger(); + case TINYINT: + return dataColumn.readTinyInt(); + case SMALLINT: + return dataColumn.readSmallInt(); + case BIGINT: + return dataColumn.readLong(); + case FLOAT: + return dataColumn.readFloat(); + case DOUBLE: + return dataColumn.readDouble(); + case DECIMAL: + switch (descriptor.getPrimitiveType().getPrimitiveTypeName()) { + case INT32: + return dataColumn.readInteger(); + case INT64: + return dataColumn.readLong(); + case BINARY: + case FIXED_LEN_BYTE_ARRAY: + return dataColumn.readBytes(); + } + case TIMESTAMP_WITHOUT_TIME_ZONE: + case TIMESTAMP_WITH_LOCAL_TIME_ZONE: + return dataColumn.readMillsTimestamp(); + default: + throw new RuntimeException("Unsupported type in the list: " + type); + } + } + + private Object dictionaryDecodeValue(DataType category, Integer dictionaryValue) { + if (dictionaryValue == null) { + return null; + } + + switch (category.getTypeRoot()) { + case CHAR: + case VARCHAR: + case BINARY: + case VARBINARY: + return dictionary.readBytes(dictionaryValue); + case DATE: + case TIME_WITHOUT_TIME_ZONE: + case INTEGER: + return dictionary.readInteger(dictionaryValue); + case BOOLEAN: + return dictionary.readBoolean(dictionaryValue) ? 1 : 0; + case DOUBLE: + return dictionary.readDouble(dictionaryValue); + case FLOAT: + return dictionary.readFloat(dictionaryValue); + case TINYINT: + return dictionary.readTinyInt(dictionaryValue); + case SMALLINT: + return dictionary.readSmallInt(dictionaryValue); + case BIGINT: + return dictionary.readLong(dictionaryValue); + case DECIMAL: + switch (descriptor.getPrimitiveType().getPrimitiveTypeName()) { + case INT32: + return dictionary.readInteger(dictionaryValue); + case INT64: + return dictionary.readLong(dictionaryValue); + case FIXED_LEN_BYTE_ARRAY: + case BINARY: + return dictionary.readBytes(dictionaryValue); + } + case TIMESTAMP_WITHOUT_TIME_ZONE: + case TIMESTAMP_WITH_LOCAL_TIME_ZONE: + return dictionary.readTimestamp(dictionaryValue); + default: + throw new RuntimeException("Unsupported type in the list: " + type); + } + } + + private WritableColumnVector fillColumnVector(int total, List valueList) { + switch (dataType.getTypeRoot()) { + case CHAR: + case VARCHAR: + case BINARY: + case VARBINARY: + HeapBytesVector heapBytesVector = new HeapBytesVector(total); + for (int i = 0; i < valueList.size(); i++) { + byte[] src = ((List) valueList).get(i); + if (src == null) { + heapBytesVector.setNullAt(i); + } else { + heapBytesVector.appendBytes(i, src, 0, src.length); + } + } + return heapBytesVector; + case BOOLEAN: + HeapBooleanVector heapBooleanVector = new HeapBooleanVector(total); + for (int i = 0; i < valueList.size(); i++) { + if (valueList.get(i) == null) { + heapBooleanVector.setNullAt(i); + } else { + heapBooleanVector.vector[i] = ((List) valueList).get(i); + } + } + return heapBooleanVector; + case TINYINT: + HeapByteVector heapByteVector = new HeapByteVector(total); + for (int i = 0; i < valueList.size(); i++) { + if (valueList.get(i) == null) { + heapByteVector.setNullAt(i); + } else { + heapByteVector.vector[i] = + (byte) ((List) valueList).get(i).intValue(); + } + } + return heapByteVector; + case SMALLINT: + HeapShortVector heapShortVector = new HeapShortVector(total); + for (int i = 0; i < valueList.size(); i++) { + if (valueList.get(i) == null) { + heapShortVector.setNullAt(i); + } else { + heapShortVector.vector[i] = + (short) ((List) valueList).get(i).intValue(); + } + } + return heapShortVector; + case INTEGER: + case DATE: + case TIME_WITHOUT_TIME_ZONE: + HeapIntVector heapIntVector = new HeapIntVector(total); + for (int i = 0; i < valueList.size(); i++) { + if (valueList.get(i) == null) { + heapIntVector.setNullAt(i); + } else { + heapIntVector.vector[i] = ((List) valueList).get(i); + } + } + return heapIntVector; + case FLOAT: + HeapFloatVector heapFloatVector = new HeapFloatVector(total); + for (int i = 0; i < valueList.size(); i++) { + if (valueList.get(i) == null) { + heapFloatVector.setNullAt(i); + } else { + heapFloatVector.vector[i] = ((List) valueList).get(i); + } + } + return heapFloatVector; + case BIGINT: + HeapLongVector heapLongVector = new HeapLongVector(total); + for (int i = 0; i < valueList.size(); i++) { + if (valueList.get(i) == null) { + heapLongVector.setNullAt(i); + } else { + heapLongVector.vector[i] = ((List) valueList).get(i); + } + } + return heapLongVector; + case DOUBLE: + HeapDoubleVector heapDoubleVector = new HeapDoubleVector(total); + for (int i = 0; i < valueList.size(); i++) { + if (valueList.get(i) == null) { + heapDoubleVector.setNullAt(i); + } else { + heapDoubleVector.vector[i] = ((List) valueList).get(i); + } + } + return heapDoubleVector; + case TIMESTAMP_WITHOUT_TIME_ZONE: + case TIMESTAMP_WITH_LOCAL_TIME_ZONE: + HeapTimestampVector heapTimestampVector = new HeapTimestampVector(total); + for (int i = 0; i < valueList.size(); i++) { + if (valueList.get(i) == null) { + heapTimestampVector.setNullAt(i); + } else { + heapTimestampVector.setTimestamp(i, ((List) valueList).get(i)); + } + } + return heapTimestampVector; + case DECIMAL: + PrimitiveType.PrimitiveTypeName primitiveTypeName = + descriptor.getPrimitiveType().getPrimitiveTypeName(); + switch (primitiveTypeName) { + case INT32: + HeapIntVector phiv = new HeapIntVector(total); + for (int i = 0; i < valueList.size(); i++) { + if (valueList.get(i) == null) { + phiv.setNullAt(i); + } else { + phiv.vector[i] = ((List) valueList).get(i); + } + } + return new ParquetDecimalVector(phiv); + case INT64: + HeapLongVector phlv = new HeapLongVector(total); + for (int i = 0; i < valueList.size(); i++) { + if (valueList.get(i) == null) { + phlv.setNullAt(i); + } else { + phlv.vector[i] = ((List) valueList).get(i); + } + } + return new ParquetDecimalVector(phlv); + default: + HeapBytesVector phbv = getHeapBytesVector(total, valueList); + return new ParquetDecimalVector(phbv); + } + default: + throw new RuntimeException("Unsupported type in the list: " + type); + } + } + + private static HeapBytesVector getHeapBytesVector(int total, List valueList) { + HeapBytesVector phbv = new HeapBytesVector(total); + for (int i = 0; i < valueList.size(); i++) { + byte[] src = ((List) valueList).get(i); + if (valueList.get(i) == null) { + phbv.setNullAt(i); + } else { + phbv.appendBytes(i, src, 0, src.length); + } + } + return phbv; + } + + protected void readPage() { + DataPage page = pageReader.readPage(); + + if (page == null) { + return; + } + + page.accept( + new DataPage.Visitor() { + @Override + public Void visit(DataPageV1 dataPageV1) { + readPageV1(dataPageV1); + return null; + } + + @Override + public Void visit(DataPageV2 dataPageV2) { + readPageV2(dataPageV2); + return null; + } + }); + } + + private void initDataReader(Encoding dataEncoding, ByteBufferInputStream in, int valueCount) + throws IOException { + this.pageValueCount = valueCount; + this.endOfPageValueCount = valuesRead + pageValueCount; + if (dataEncoding.usesDictionary()) { + this.dataColumn = null; + if (dictionary == null) { + throw new IOException( + String.format( + "Could not read page in col %s because the dictionary was missing for encoding %s.", + descriptor, dataEncoding)); + } + dataColumn = + ParquetDataColumnReaderFactory.getDataColumnReaderByType( + type.asPrimitiveType(), + dataEncoding.getDictionaryBasedValuesReader( + descriptor, VALUES, dictionary.getDictionary()), + isUtcTimestamp); + this.isCurrentPageDictionaryEncoded = true; + } else { + dataColumn = + ParquetDataColumnReaderFactory.getDataColumnReaderByType( + type.asPrimitiveType(), + dataEncoding.getValuesReader(descriptor, VALUES), + isUtcTimestamp); + this.isCurrentPageDictionaryEncoded = false; + } + + try { + dataColumn.initFromPage(pageValueCount, in); + } catch (IOException e) { + throw new IOException(String.format("Could not read page in col %s.", descriptor), e); + } + } + + private void readPageV1(DataPageV1 page) { + ValuesReader rlReader = page.getRlEncoding().getValuesReader(descriptor, REPETITION_LEVEL); + ValuesReader dlReader = page.getDlEncoding().getValuesReader(descriptor, DEFINITION_LEVEL); + this.repetitionLevelColumn = new ValuesReaderIntIterator(rlReader); + this.definitionLevelColumn = new ValuesReaderIntIterator(dlReader); + try { + BytesInput bytes = page.getBytes(); + LOG.debug("Page size {} bytes and {} records.", bytes.size(), pageValueCount); + ByteBufferInputStream in = bytes.toInputStream(); + LOG.debug("Reading repetition levels at {}.", in.position()); + rlReader.initFromPage(pageValueCount, in); + LOG.debug("Reading definition levels at {}.", in.position()); + dlReader.initFromPage(pageValueCount, in); + LOG.debug("Reading data at {}.", in.position()); + initDataReader(page.getValueEncoding(), in, page.getValueCount()); + } catch (IOException e) { + throw new ParquetDecodingException( + String.format("Could not read page %s in col %s.", page, descriptor), e); + } + } + + private void readPageV2(DataPageV2 page) { + this.pageValueCount = page.getValueCount(); + this.repetitionLevelColumn = + newRLEIterator(descriptor.getMaxRepetitionLevel(), page.getRepetitionLevels()); + this.definitionLevelColumn = + newRLEIterator(descriptor.getMaxDefinitionLevel(), page.getDefinitionLevels()); + try { + LOG.debug( + "Page data size {} bytes and {} records.", + page.getData().size(), + pageValueCount); + initDataReader( + page.getDataEncoding(), page.getData().toInputStream(), page.getValueCount()); + } catch (IOException e) { + throw new ParquetDecodingException( + String.format("Could not read page %s in col %s.", page, descriptor), e); + } + } + + private IntIterator newRLEIterator(int maxLevel, BytesInput bytes) { + try { + if (maxLevel == 0) { + return new NullIntIterator(); + } + return new RLEIntIterator( + new RunLengthBitPackingHybridDecoder( + BytesUtils.getWidthFromMaxInt(maxLevel), + new ByteArrayInputStream(bytes.toByteArray()))); + } catch (IOException e) { + throw new ParquetDecodingException( + String.format("Could not read levels in page for col %s.", descriptor), e); + } + } + + /** Utility interface to abstract over different way to read ints with different encodings. */ + interface IntIterator { + int nextInt(); + } + + /** Reading int from {@link ValuesReader}. */ + protected static final class ValuesReaderIntIterator implements IntIterator { + ValuesReader delegate; + + public ValuesReaderIntIterator(ValuesReader delegate) { + this.delegate = delegate; + } + + @Override + public int nextInt() { + return delegate.readInteger(); + } + } + + /** Reading int from {@link RunLengthBitPackingHybridDecoder}. */ + protected static final class RLEIntIterator implements IntIterator { + RunLengthBitPackingHybridDecoder delegate; + + public RLEIntIterator(RunLengthBitPackingHybridDecoder delegate) { + this.delegate = delegate; + } + + @Override + public int nextInt() { + try { + return delegate.readInt(); + } catch (IOException e) { + throw new ParquetDecodingException(e); + } + } + } + + /** Reading zero always. */ + protected static final class NullIntIterator implements IntIterator { + @Override + public int nextInt() { + return 0; + } + } +} diff --git a/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/ParquetDecimalVector.java b/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/ParquetDecimalVector.java index d1ab8d66063c..28d308bac61f 100644 --- a/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/ParquetDecimalVector.java +++ b/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/ParquetDecimalVector.java @@ -22,8 +22,13 @@ import org.apache.paimon.data.columnar.BytesColumnVector; import org.apache.paimon.data.columnar.ColumnVector; import org.apache.paimon.data.columnar.DecimalColumnVector; +import org.apache.paimon.data.columnar.Dictionary; import org.apache.paimon.data.columnar.IntColumnVector; import org.apache.paimon.data.columnar.LongColumnVector; +import org.apache.paimon.data.columnar.writable.WritableBytesVector; +import org.apache.paimon.data.columnar.writable.WritableColumnVector; +import org.apache.paimon.data.columnar.writable.WritableIntVector; +import org.apache.paimon.data.columnar.writable.WritableLongVector; import org.apache.paimon.format.parquet.ParquetSchemaConverter; import static org.apache.paimon.utils.Preconditions.checkArgument; @@ -32,7 +37,8 @@ * Parquet write decimal as int32 and int64 and binary, this class wrap the real vector to provide * {@link DecimalColumnVector} interface. */ -public class ParquetDecimalVector implements DecimalColumnVector { +public class ParquetDecimalVector + implements DecimalColumnVector, WritableLongVector, WritableIntVector, WritableBytesVector { private final ColumnVector vector; @@ -66,4 +72,157 @@ public ColumnVector getVector() { public boolean isNullAt(int i) { return vector.isNullAt(i); } + + @Override + public void reset() { + if (vector instanceof WritableColumnVector) { + ((WritableColumnVector) vector).reset(); + } + } + + @Override + public void setNullAt(int rowId) { + if (vector instanceof WritableColumnVector) { + ((WritableColumnVector) vector).setNullAt(rowId); + } + } + + @Override + public void setNulls(int rowId, int count) { + if (vector instanceof WritableColumnVector) { + ((WritableColumnVector) vector).setNulls(rowId, count); + } + } + + @Override + public void fillWithNulls() { + if (vector instanceof WritableColumnVector) { + ((WritableColumnVector) vector).fillWithNulls(); + } + } + + @Override + public void setDictionary(Dictionary dictionary) { + if (vector instanceof WritableColumnVector) { + ((WritableColumnVector) vector).setDictionary(dictionary); + } + } + + @Override + public boolean hasDictionary() { + if (vector instanceof WritableColumnVector) { + return ((WritableColumnVector) vector).hasDictionary(); + } + return false; + } + + @Override + public WritableIntVector reserveDictionaryIds(int capacity) { + if (vector instanceof WritableColumnVector) { + return ((WritableColumnVector) vector).reserveDictionaryIds(capacity); + } + throw new RuntimeException("Child vector must be instance of WritableColumnVector"); + } + + @Override + public WritableIntVector getDictionaryIds() { + if (vector instanceof WritableColumnVector) { + return ((WritableColumnVector) vector).getDictionaryIds(); + } + throw new RuntimeException("Child vector must be instance of WritableColumnVector"); + } + + @Override + public Bytes getBytes(int i) { + if (vector instanceof WritableBytesVector) { + return ((WritableBytesVector) vector).getBytes(i); + } + throw new RuntimeException("Child vector must be instance of WritableColumnVector"); + } + + @Override + public void appendBytes(int rowId, byte[] value, int offset, int length) { + if (vector instanceof WritableBytesVector) { + ((WritableBytesVector) vector).appendBytes(rowId, value, offset, length); + } + } + + @Override + public void fill(byte[] value) { + if (vector instanceof WritableBytesVector) { + ((WritableBytesVector) vector).fill(value); + } + } + + @Override + public int getInt(int i) { + if (vector instanceof WritableIntVector) { + return ((WritableIntVector) vector).getInt(i); + } + throw new RuntimeException("Child vector must be instance of WritableColumnVector"); + } + + @Override + public void setInt(int rowId, int value) { + if (vector instanceof WritableIntVector) { + ((WritableIntVector) vector).setInt(rowId, value); + } + } + + @Override + public void setIntsFromBinary(int rowId, int count, byte[] src, int srcIndex) { + if (vector instanceof WritableIntVector) { + ((WritableIntVector) vector).setIntsFromBinary(rowId, count, src, srcIndex); + } + } + + @Override + public void setInts(int rowId, int count, int value) { + if (vector instanceof WritableIntVector) { + ((WritableIntVector) vector).setInts(rowId, count, value); + } + } + + @Override + public void setInts(int rowId, int count, int[] src, int srcIndex) { + if (vector instanceof WritableIntVector) { + ((WritableIntVector) vector).setInts(rowId, count, src, srcIndex); + } + } + + @Override + public void fill(int value) { + if (vector instanceof WritableIntVector) { + ((WritableIntVector) vector).fill(value); + } + } + + @Override + public long getLong(int i) { + if (vector instanceof WritableLongVector) { + return ((WritableLongVector) vector).getLong(i); + } + throw new RuntimeException("Child vector must be instance of WritableColumnVector"); + } + + @Override + public void setLong(int rowId, long value) { + if (vector instanceof WritableLongVector) { + ((WritableLongVector) vector).setLong(rowId, value); + } + } + + @Override + public void setLongsFromBinary(int rowId, int count, byte[] src, int srcIndex) { + if (vector instanceof WritableLongVector) { + ((WritableLongVector) vector).setLongsFromBinary(rowId, count, src, srcIndex); + } + } + + @Override + public void fill(long value) { + if (vector instanceof WritableLongVector) { + ((WritableLongVector) vector).fill(value); + } + } } diff --git a/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/ParquetSplitReaderUtil.java b/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/ParquetSplitReaderUtil.java index 59af1f391b2b..8a362961d0d1 100644 --- a/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/ParquetSplitReaderUtil.java +++ b/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/ParquetSplitReaderUtil.java @@ -32,7 +32,11 @@ import org.apache.paimon.data.columnar.heap.HeapTimestampVector; import org.apache.paimon.data.columnar.writable.WritableColumnVector; import org.apache.paimon.format.parquet.ParquetSchemaConverter; +import org.apache.paimon.format.parquet.type.ParquetField; +import org.apache.paimon.format.parquet.type.ParquetGroupField; +import org.apache.paimon.format.parquet.type.ParquetPrimitiveField; import org.apache.paimon.types.ArrayType; +import org.apache.paimon.types.DataField; import org.apache.paimon.types.DataType; import org.apache.paimon.types.DataTypeChecks; import org.apache.paimon.types.DecimalType; @@ -40,12 +44,20 @@ import org.apache.paimon.types.MapType; import org.apache.paimon.types.MultisetType; import org.apache.paimon.types.RowType; +import org.apache.paimon.utils.StringUtils; + +import org.apache.paimon.shade.guava30.com.google.common.collect.ImmutableList; import org.apache.parquet.ParquetRuntimeException; import org.apache.parquet.column.ColumnDescriptor; import org.apache.parquet.column.page.PageReadStore; +import org.apache.parquet.io.ColumnIO; +import org.apache.parquet.io.GroupColumnIO; +import org.apache.parquet.io.MessageColumnIO; +import org.apache.parquet.io.PrimitiveColumnIO; import org.apache.parquet.schema.GroupType; import org.apache.parquet.schema.InvalidSchemaException; +import org.apache.parquet.schema.LogicalTypeAnnotation; import org.apache.parquet.schema.OriginalType; import org.apache.parquet.schema.PrimitiveType; import org.apache.parquet.schema.Type; @@ -53,8 +65,11 @@ import java.io.IOException; import java.util.ArrayList; import java.util.List; +import java.util.Objects; import static org.apache.paimon.utils.Preconditions.checkArgument; +import static org.apache.parquet.schema.Type.Repetition.REPEATED; +import static org.apache.parquet.schema.Type.Repetition.REQUIRED; /** Util for generating {@link ColumnReader}. */ public class ParquetSplitReaderUtil { @@ -65,6 +80,7 @@ public static ColumnReader createColumnReader( Type type, List columnDescriptors, PageReadStore pages, + ParquetField field, int depth) throws IOException { List descriptors = @@ -126,60 +142,10 @@ public static ColumnReader createColumnReader( ((DecimalType) fieldType).getPrecision()); } case ARRAY: - return new ArrayColumnReader( - descriptors.get(0), - pages.getPageReader(descriptors.get(0)), - true, - descriptors.get(0).getPrimitiveType(), - fieldType); case MAP: - MapType mapType = (MapType) fieldType; - ArrayColumnReader mapKeyReader = - new ArrayColumnReader( - descriptors.get(0), - pages.getPageReader(descriptors.get(0)), - true, - descriptors.get(0).getPrimitiveType(), - new ArrayType(mapType.getKeyType())); - ArrayColumnReader mapValueReader = - new ArrayColumnReader( - descriptors.get(1), - pages.getPageReader(descriptors.get(1)), - true, - descriptors.get(1).getPrimitiveType(), - new ArrayType(mapType.getValueType())); - return new MapColumnReader(mapKeyReader, mapValueReader); case MULTISET: - MultisetType multisetType = (MultisetType) fieldType; - ArrayColumnReader multisetKeyReader = - new ArrayColumnReader( - descriptors.get(0), - pages.getPageReader(descriptors.get(0)), - true, - descriptors.get(0).getPrimitiveType(), - new ArrayType(multisetType.getElementType())); - ArrayColumnReader multisetValueReader = - new ArrayColumnReader( - descriptors.get(1), - pages.getPageReader(descriptors.get(1)), - true, - descriptors.get(1).getPrimitiveType(), - new ArrayType(new IntType(false))); - return new MapColumnReader(multisetKeyReader, multisetValueReader); case ROW: - RowType rowType = (RowType) fieldType; - GroupType groupType = type.asGroupType(); - List fieldReaders = new ArrayList<>(); - for (int i = 0; i < rowType.getFieldCount(); i++) { - fieldReaders.add( - createColumnReader( - rowType.getTypeAt(i), - groupType.getType(i), - descriptors, - pages, - depth + 1)); - } - return new RowColumnReader(fieldReaders); + return new NestedColumnReader(true, pages, field); default: throw new UnsupportedOperationException(fieldType + " is not supported now."); } @@ -300,7 +266,18 @@ public static WritableColumnVector createWritableColumnVector( depth)); case MAP: MapType mapType = (MapType) fieldType; + LogicalTypeAnnotation mapTypeAnnotation = type.getLogicalTypeAnnotation(); GroupType mapRepeatedType = type.asGroupType().getType(0).asGroupType(); + if (mapTypeAnnotation.equals(LogicalTypeAnnotation.listType())) { + mapRepeatedType = mapRepeatedType.getType(0).asGroupType(); + depth++; + if (mapRepeatedType + .getLogicalTypeAnnotation() + .equals(LogicalTypeAnnotation.mapType())) { + mapRepeatedType = mapRepeatedType.getType(0).asGroupType(); + depth++; + } + } return new HeapMapVector( batchSize, createWritableColumnVector( @@ -317,7 +294,18 @@ public static WritableColumnVector createWritableColumnVector( depth + 2)); case MULTISET: MultisetType multisetType = (MultisetType) fieldType; + LogicalTypeAnnotation multisetTypeAnnotation = type.getLogicalTypeAnnotation(); GroupType multisetRepeatedType = type.asGroupType().getType(0).asGroupType(); + if (multisetTypeAnnotation.equals(LogicalTypeAnnotation.listType())) { + multisetRepeatedType = multisetRepeatedType.getType(0).asGroupType(); + depth++; + if (multisetRepeatedType + .getLogicalTypeAnnotation() + .equals(LogicalTypeAnnotation.mapType())) { + multisetRepeatedType = multisetRepeatedType.getType(0).asGroupType(); + depth++; + } + } return new HeapMapVector( batchSize, createWritableColumnVector( @@ -335,6 +323,12 @@ public static WritableColumnVector createWritableColumnVector( case ROW: RowType rowType = (RowType) fieldType; GroupType groupType = type.asGroupType(); + if (LogicalTypeAnnotation.listType().equals(groupType.getLogicalTypeAnnotation())) { + // this means there was two outside struct, need to get group twice. + groupType = groupType.getType(0).asGroupType(); + groupType = groupType.getType(0).asGroupType(); + depth = depth + 2; + } WritableColumnVector[] columnVectors = new WritableColumnVector[rowType.getFieldCount()]; for (int i = 0; i < columnVectors.length; i++) { @@ -371,4 +365,171 @@ private static List getAllColumnDescriptorByType( } return res; } + + public static List buildFieldsList( + List childrens, List fieldNames, MessageColumnIO columnIO) { + List list = new ArrayList<>(); + for (int i = 0; i < childrens.size(); i++) { + list.add( + constructField( + childrens.get(i), lookupColumnByName(columnIO, fieldNames.get(i)))); + } + return list; + } + + private static ParquetField constructField(DataField dataField, ColumnIO columnIO) { + boolean required = columnIO.getType().getRepetition() == REQUIRED; + int repetitionLevel = columnIO.getRepetitionLevel(); + int definitionLevel = columnIO.getDefinitionLevel(); + DataType type = dataField.type(); + String filedName = dataField.name(); + if (type instanceof RowType) { + GroupColumnIO groupColumnIO = (GroupColumnIO) columnIO; + RowType rowType = (RowType) type; + ImmutableList.Builder fieldsBuilder = ImmutableList.builder(); + List fieldNames = rowType.getFieldNames(); + List childrens = rowType.getFields(); + for (int i = 0; i < childrens.size(); i++) { + fieldsBuilder.add( + constructField( + childrens.get(i), + lookupColumnByName(groupColumnIO, fieldNames.get(i)))); + } + + return new ParquetGroupField( + type, repetitionLevel, definitionLevel, required, fieldsBuilder.build()); + } + + if (type instanceof MapType) { + GroupColumnIO groupColumnIO = (GroupColumnIO) columnIO; + GroupColumnIO keyValueColumnIO = getMapKeyValueColumn(groupColumnIO); + MapType mapType = (MapType) type; + ParquetField keyField = + constructField( + new DataField(0, "", mapType.getKeyType()), + keyValueColumnIO.getChild(0)); + ParquetField valueField = + constructField( + new DataField(0, "", mapType.getValueType()), + keyValueColumnIO.getChild(1)); + return new ParquetGroupField( + type, + repetitionLevel, + definitionLevel, + required, + ImmutableList.of(keyField, valueField)); + } + + if (type instanceof MultisetType) { + GroupColumnIO groupColumnIO = (GroupColumnIO) columnIO; + GroupColumnIO keyValueColumnIO = getMapKeyValueColumn(groupColumnIO); + MultisetType multisetType = (MultisetType) type; + ParquetField keyField = + constructField( + new DataField(0, "", multisetType.getElementType()), + keyValueColumnIO.getChild(0)); + ParquetField valueField = + constructField( + new DataField(0, "", new IntType()), keyValueColumnIO.getChild(1)); + return new ParquetGroupField( + type, + repetitionLevel, + definitionLevel, + required, + ImmutableList.of(keyField, valueField)); + } + + if (type instanceof ArrayType) { + ArrayType arrayType = (ArrayType) type; + ColumnIO elementTypeColumnIO; + if (columnIO instanceof GroupColumnIO) { + GroupColumnIO groupColumnIO = (GroupColumnIO) columnIO; + if (!StringUtils.isNullOrWhitespaceOnly(filedName)) { + while (!Objects.equals(groupColumnIO.getName(), filedName)) { + groupColumnIO = (GroupColumnIO) groupColumnIO.getChild(0); + } + elementTypeColumnIO = groupColumnIO; + } else { + if (arrayType.getElementType() instanceof RowType) { + elementTypeColumnIO = groupColumnIO; + } else { + elementTypeColumnIO = groupColumnIO.getChild(0); + } + } + } else if (columnIO instanceof PrimitiveColumnIO) { + elementTypeColumnIO = columnIO; + } else { + throw new RuntimeException(String.format("Unknown ColumnIO, %s", columnIO)); + } + + ParquetField field = + constructField( + new DataField(0, "", arrayType.getElementType()), + getArrayElementColumn(elementTypeColumnIO)); + if (repetitionLevel == field.getRepetitionLevel()) { + repetitionLevel = columnIO.getParent().getRepetitionLevel(); + } + return new ParquetGroupField( + type, repetitionLevel, definitionLevel, required, ImmutableList.of(field)); + } + + PrimitiveColumnIO primitiveColumnIO = (PrimitiveColumnIO) columnIO; + return new ParquetPrimitiveField( + type, required, primitiveColumnIO.getColumnDescriptor(), primitiveColumnIO.getId()); + } + + /** + * Parquet's column names are case in sensitive. So when we look up columns we first check for + * exact match, and if that can not find we look for a case-insensitive match. + */ + public static ColumnIO lookupColumnByName(GroupColumnIO groupColumnIO, String columnName) { + ColumnIO columnIO = groupColumnIO.getChild(columnName); + + if (columnIO != null) { + return columnIO; + } + + for (int i = 0; i < groupColumnIO.getChildrenCount(); i++) { + if (groupColumnIO.getChild(i).getName().equalsIgnoreCase(columnName)) { + return groupColumnIO.getChild(i); + } + } + + throw new RuntimeException("Can not find column io for parquet reader."); + } + + public static GroupColumnIO getMapKeyValueColumn(GroupColumnIO groupColumnIO) { + while (groupColumnIO.getChildrenCount() == 1) { + groupColumnIO = (GroupColumnIO) groupColumnIO.getChild(0); + } + return groupColumnIO; + } + + public static ColumnIO getArrayElementColumn(ColumnIO columnIO) { + while (columnIO instanceof GroupColumnIO && !columnIO.getType().isRepetition(REPEATED)) { + columnIO = ((GroupColumnIO) columnIO).getChild(0); + } + + /* Compatible with array has a standard 3-level structure: + * optional group my_list (LIST) { + * repeated group element { + * required binary str (UTF8); + * }; + * } + */ + if (columnIO instanceof GroupColumnIO + && columnIO.getType().getLogicalTypeAnnotation() == null + && ((GroupColumnIO) columnIO).getChildrenCount() == 1 + && !columnIO.getName().equals("array") + && !columnIO.getName().equals(columnIO.getParent().getName() + "_tuple")) { + return ((GroupColumnIO) columnIO).getChild(0); + } + + /* Compatible with array for 2-level arrays where a repeated field is not a group: + * optional group my_list (LIST) { + * repeated int32 element; + * } + */ + return columnIO; + } } diff --git a/paimon-format/src/main/java/org/apache/paimon/format/parquet/type/ParquetField.java b/paimon-format/src/main/java/org/apache/paimon/format/parquet/type/ParquetField.java new file mode 100644 index 000000000000..94fe6b91d9d3 --- /dev/null +++ b/paimon-format/src/main/java/org/apache/paimon/format/parquet/type/ParquetField.java @@ -0,0 +1,66 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.paimon.format.parquet.type; + +import org.apache.paimon.types.DataType; + +/** Field that represent parquet's field type. */ +public abstract class ParquetField { + private final DataType type; + private final int repetitionLevel; + private final int definitionLevel; + private final boolean required; + + public ParquetField(DataType type, int repetitionLevel, int definitionLevel, boolean required) { + this.type = type; + this.repetitionLevel = repetitionLevel; + this.definitionLevel = definitionLevel; + this.required = required; + } + + public DataType getType() { + return type; + } + + public int getRepetitionLevel() { + return repetitionLevel; + } + + public int getDefinitionLevel() { + return definitionLevel; + } + + public boolean isRequired() { + return required; + } + + @Override + public String toString() { + return "Field{" + + "type=" + + type + + ", repetitionLevel=" + + repetitionLevel + + ", definitionLevel=" + + definitionLevel + + ", required=" + + required + + '}'; + } +} diff --git a/paimon-format/src/main/java/org/apache/paimon/format/parquet/type/ParquetGroupField.java b/paimon-format/src/main/java/org/apache/paimon/format/parquet/type/ParquetGroupField.java new file mode 100644 index 000000000000..95f0dd1f8f2d --- /dev/null +++ b/paimon-format/src/main/java/org/apache/paimon/format/parquet/type/ParquetGroupField.java @@ -0,0 +1,47 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.paimon.format.parquet.type; + +import org.apache.paimon.types.DataType; + +import org.apache.paimon.shade.guava30.com.google.common.collect.ImmutableList; + +import java.util.List; + +import static java.util.Objects.requireNonNull; + +/** Field that represent parquet's Group Field. */ +public class ParquetGroupField extends ParquetField { + + private final List children; + + public ParquetGroupField( + DataType type, + int repetitionLevel, + int definitionLevel, + boolean required, + List children) { + super(type, repetitionLevel, definitionLevel, required); + this.children = ImmutableList.copyOf(requireNonNull(children, "children is null")); + } + + public List getChildren() { + return children; + } +} diff --git a/paimon-format/src/main/java/org/apache/paimon/format/parquet/type/ParquetPrimitiveField.java b/paimon-format/src/main/java/org/apache/paimon/format/parquet/type/ParquetPrimitiveField.java new file mode 100644 index 000000000000..148596d15922 --- /dev/null +++ b/paimon-format/src/main/java/org/apache/paimon/format/parquet/type/ParquetPrimitiveField.java @@ -0,0 +1,51 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.paimon.format.parquet.type; + +import org.apache.paimon.types.DataType; + +import org.apache.parquet.column.ColumnDescriptor; + +import static java.util.Objects.requireNonNull; + +/** Field that represent parquet's primitive field. */ +public class ParquetPrimitiveField extends ParquetField { + + private final ColumnDescriptor descriptor; + private final int id; + + public ParquetPrimitiveField( + DataType type, boolean required, ColumnDescriptor descriptor, int id) { + super( + type, + descriptor.getMaxRepetitionLevel(), + descriptor.getMaxDefinitionLevel(), + required); + this.descriptor = requireNonNull(descriptor, "descriptor is required"); + this.id = id; + } + + public ColumnDescriptor getDescriptor() { + return descriptor; + } + + public int getId() { + return id; + } +} diff --git a/paimon-format/src/test/java/org/apache/paimon/format/parquet/ParquetReadWriteTest.java b/paimon-format/src/test/java/org/apache/paimon/format/parquet/ParquetReadWriteTest.java index 00a7a0081045..56aa838753cc 100644 --- a/paimon-format/src/test/java/org/apache/paimon/format/parquet/ParquetReadWriteTest.java +++ b/paimon-format/src/test/java/org/apache/paimon/format/parquet/ParquetReadWriteTest.java @@ -23,6 +23,7 @@ import org.apache.paimon.data.GenericArray; import org.apache.paimon.data.GenericMap; import org.apache.paimon.data.GenericRow; +import org.apache.paimon.data.InternalMap; import org.apache.paimon.data.InternalRow; import org.apache.paimon.data.Timestamp; import org.apache.paimon.format.FormatReaderContext; @@ -50,11 +51,21 @@ import org.apache.paimon.types.TinyIntType; import org.apache.paimon.types.VarCharType; +import org.apache.hadoop.conf.Configuration; +import org.apache.parquet.example.data.Group; +import org.apache.parquet.example.data.simple.SimpleGroupFactory; import org.apache.parquet.filter2.compat.FilterCompat; import org.apache.parquet.filter2.predicate.ParquetFilters; +import org.apache.parquet.hadoop.ParquetFileWriter; +import org.apache.parquet.hadoop.ParquetWriter; +import org.apache.parquet.hadoop.example.ExampleParquetWriter; +import org.apache.parquet.hadoop.util.HadoopOutputFile; +import org.apache.parquet.schema.MessageType; +import org.junit.jupiter.api.Assertions; import org.junit.jupiter.api.RepeatedTest; import org.junit.jupiter.api.io.TempDir; import org.junit.jupiter.params.ParameterizedTest; +import org.junit.jupiter.params.provider.CsvSource; import org.junit.jupiter.params.provider.MethodSource; import java.io.File; @@ -127,6 +138,31 @@ public class ParquetReadWriteTest { .build()) .build(); + private static final RowType NESTED_ARRAY_MAP_TYPE = + RowType.of( + new IntType(), + new ArrayType(true, new IntType()), + new ArrayType(true, new ArrayType(true, new IntType())), + new ArrayType( + true, + new MapType( + true, + new VarCharType(VarCharType.MAX_LENGTH), + new VarCharType(VarCharType.MAX_LENGTH))), + new ArrayType(true, RowType.builder().field("a", new IntType()).build()), + RowType.of( + new ArrayType( + true, + RowType.builder() + .field( + "b", + new ArrayType( + true, + new ArrayType(true, new IntType()))) + .field("c", new IntType()) + .build()), + new IntType())); + @TempDir public File folder; public static Collection parameters() { @@ -226,7 +262,7 @@ void testProjection(int rowGroupSize) throws IOException { records.add(newRow(v)); } - Path testPath = createTempParquetFile(folder, records, rowGroupSize); + Path testPath = createTempParquetFileByPaimon(folder, records, rowGroupSize, ROW_TYPE); // test reader DataType[] fieldTypes = new DataType[] {new DoubleType(), new TinyIntType(), new IntType()}; ParquetReaderFactory format = @@ -265,7 +301,7 @@ void testProjectionReadUnknownField(int rowGroupSize) throws IOException { records.add(newRow(v)); } - Path testPath = createTempParquetFile(folder, records, rowGroupSize); + Path testPath = createTempParquetFileByPaimon(folder, records, rowGroupSize, ROW_TYPE); // test reader DataType[] fieldTypes = @@ -311,7 +347,7 @@ void testReadRowPosition() throws IOException { records.add(newRow(v)); } - Path testPath = createTempParquetFile(folder, records, rowGroupSize); + Path testPath = createTempParquetFileByPaimon(folder, records, rowGroupSize, ROW_TYPE); DataType[] fieldTypes = new DataType[] {new DoubleType()}; ParquetReaderFactory format = @@ -353,7 +389,7 @@ void testReadRowPositionWithRandomFilter() throws IOException { records.add(newRow(v)); } - Path testPath = createTempParquetFile(folder, records, rowGroupSize); + Path testPath = createTempParquetFileByPaimon(folder, records, rowGroupSize, ROW_TYPE); DataType[] fieldTypes = new DataType[] {new IntType()}; // Build filter: f4 > randomStart @@ -394,22 +430,47 @@ void testReadRowPositionWithRandomFilter() throws IOException { } } + @ParameterizedTest + @CsvSource({"10, paimon", "1000, paimon", "10, origin", "1000, origin"}) + public void testNestedRead(int rowGroupSize, String writerType) throws Exception { + List rows = prepareNestedData(1283); + Path path; + if ("paimon".equals(writerType)) { + path = createTempParquetFileByPaimon(folder, rows, rowGroupSize, NESTED_ARRAY_MAP_TYPE); + } else if ("origin".equals(writerType)) { + path = createNestedDataByOriginWriter(1283, folder, rowGroupSize); + } else { + throw new RuntimeException("Unknown writer type."); + } + ParquetReaderFactory format = + new ParquetReaderFactory( + new Options(), NESTED_ARRAY_MAP_TYPE, 500, FilterCompat.NOOP); + RecordReader reader = + format.createReader( + new FormatReaderContext( + new LocalFileIO(), path, new LocalFileIO().getFileSize(path))); + List results = new ArrayList<>(1283); + reader.forEachRemaining(results::add); + compareNestedRow(rows, results); + } + private void innerTestTypes(File folder, List records, int rowGroupSize) throws IOException { List rows = records.stream().map(this::newRow).collect(Collectors.toList()); - Path testPath = createTempParquetFile(folder, rows, rowGroupSize); + Path testPath = createTempParquetFileByPaimon(folder, rows, rowGroupSize, ROW_TYPE); int len = testReadingFile(subList(records, 0), testPath); assertThat(len).isEqualTo(records.size()); } - private Path createTempParquetFile(File folder, List rows, int rowGroupSize) + private Path createTempParquetFileByPaimon( + File folder, List rows, int rowGroupSize, RowType rowType) throws IOException { // write data Path path = new Path(folder.getPath(), UUID.randomUUID().toString()); Options conf = new Options(); conf.setInteger("parquet.block.size", rowGroupSize); ParquetWriterFactory factory = - new ParquetWriterFactory(new RowDataParquetBuilder(ROW_TYPE, conf)); + new ParquetWriterFactory(new RowDataParquetBuilder(rowType, conf)); String[] candidates = new String[] {"snappy", "zstd", "gzip"}; String compress = candidates[new Random().nextInt(3)]; FormatWriter writer = @@ -633,4 +694,258 @@ private LocalDateTime toDateTime(Integer v) { private static List subList(List list, int i) { return list.subList(i, list.size()); } + + private List prepareNestedData(int rowNum) { + List rows = new ArrayList<>(rowNum); + + for (int i = 0; i < rowNum; i++) { + Integer v = i; + Map mp1 = new HashMap<>(); + mp1.put(null, BinaryString.fromString("val_" + i)); + Map mp2 = new HashMap<>(); + mp2.put(BinaryString.fromString("key_" + i), null); + mp2.put(BinaryString.fromString("key@" + i), BinaryString.fromString("val@" + i)); + + rows.add( + GenericRow.of( + v, + new GenericArray(new Object[] {v, v + 1}), + new GenericArray( + new Object[] { + new GenericArray(new Object[] {i, i + 1, null}), + new GenericArray(new Object[] {i, i + 2, null}), + new GenericArray(new Object[] {}), + null + }), + new GenericArray( + new GenericMap[] { + null, new GenericMap(mp1), new GenericMap(mp2) + }), + new GenericArray( + new GenericRow[] {GenericRow.of(i), GenericRow.of(i + 1)}), + GenericRow.of( + new GenericArray( + new GenericRow[] { + GenericRow.of( + new GenericArray( + new Object[] { + new GenericArray( + new Object[] { + i, i + 1, null + }), + new GenericArray( + new Object[] { + i, i + 2, null + }), + new GenericArray( + new Object[] {}), + null + }), + i) + }), + i))); + } + return rows; + } + + private Path createNestedDataByOriginWriter(int rowNum, File tmpDir, int rowGroupSize) { + Path path = new Path(tmpDir.getPath(), UUID.randomUUID().toString()); + Configuration conf = new Configuration(); + conf.setInt("parquet.block.size", rowGroupSize); + MessageType schema = + ParquetSchemaConverter.convertToParquetMessageType( + "paimon-parquet", NESTED_ARRAY_MAP_TYPE); + try (ParquetWriter writer = + ExampleParquetWriter.builder( + HadoopOutputFile.fromPath( + new org.apache.hadoop.fs.Path(path.toString()), conf)) + .withWriteMode(ParquetFileWriter.Mode.OVERWRITE) + .withConf(new Configuration()) + .withType(schema) + .build()) { + SimpleGroupFactory simpleGroupFactory = new SimpleGroupFactory(schema); + for (int i = 0; i < rowNum; i++) { + Group row = simpleGroupFactory.newGroup(); + // add int + row.append("f0", i); + + // add array + Group f1 = row.addGroup("f1"); + createParquetArrayGroup(f1, i, i + 1); + + // add array> + Group f2 = row.addGroup("f2"); + createParquetDoubleNestedArray(f2, i); + + // add array + Group f3 = row.addGroup("f3"); + f3.addGroup(0); + Group mapList = f3.addGroup(0); + Group map1 = mapList.addGroup(0); + createParquetMapGroup(map1, null, "val_" + i); + Group map2 = mapList.addGroup(0); + createParquetMapGroup(map2, "key_" + i, null); + createParquetMapGroup(map2, "key@" + i, "val@" + i); + + // add array + Group f4 = row.addGroup("f4"); + Group rowList = f4.addGroup(0); + Group row1 = rowList.addGroup(0); + row1.add(0, i); + Group row2 = rowList.addGroup(0); + row2.add(0, i + 1); + f4.addGroup(0); + + // add ROW<`f0` ARRAY>, `c` INT>>, `f1` INT>> + Group f5 = row.addGroup("f5"); + Group arrayRow = f5.addGroup(0); + Group insideRow = arrayRow.addGroup(0).addGroup(0); + Group insideArray = insideRow.addGroup(0); + createParquetDoubleNestedArray(insideArray, i); + insideRow.add(1, i); + arrayRow.addGroup(0); + f5.add(1, i); + writer.write(row); + } + } catch (Exception e) { + throw new RuntimeException("Create nested data by parquet origin writer failed."); + } + return path; + } + + private void createParquetDoubleNestedArray(Group group, int i) { + Group outside = group.addGroup(0); + Group inside = outside.addGroup(0); + createParquetArrayGroup(inside, i, i + 1); + Group inside2 = outside.addGroup(0); + createParquetArrayGroup(inside2, i, i + 2); + // create empty array [] + outside.addGroup(0); + // create null + group.addGroup(0); + } + + private void createParquetArrayGroup(Group group, int i, int j) { + Group element = group.addGroup(0); + element.add(0, i); + element = group.addGroup(0); + element.add(0, j); + group.addGroup(0); + } + + private void createParquetMapGroup(Group map, String key, String value) { + Group entry = map.addGroup(0); + if (key != null) { + entry.append("key", key); + } + if (value != null) { + entry.append("value", value); + } + } + + private void compareNestedRow(List rows, List results) { + Assertions.assertEquals(rows.size(), results.size()); + + for (InternalRow result : results) { + int index = result.getInt(0); + InternalRow origin = rows.get(index); + Assertions.assertEquals(origin.getInt(0), result.getInt(0)); + + // int[] + Assertions.assertEquals(origin.getArray(1).getInt(0), result.getArray(1).getInt(0)); + Assertions.assertEquals(origin.getArray(1).getInt(1), result.getArray(1).getInt(1)); + + // int[][] + Assertions.assertEquals( + origin.getArray(2).getArray(0).getInt(0), + result.getArray(2).getArray(0).getInt(0)); + Assertions.assertEquals( + origin.getArray(2).getArray(0).getInt(1), + result.getArray(2).getArray(0).getInt(1)); + Assertions.assertTrue(result.getArray(2).getArray(0).isNullAt(2)); + + Assertions.assertEquals( + origin.getArray(2).getArray(1).getInt(0), + result.getArray(2).getArray(1).getInt(0)); + Assertions.assertEquals( + origin.getArray(2).getArray(1).getInt(1), + result.getArray(2).getArray(1).getInt(1)); + Assertions.assertTrue(result.getArray(2).getArray(1).isNullAt(2)); + + Assertions.assertEquals(0, result.getArray(2).getArray(2).size()); + Assertions.assertTrue(result.getArray(2).isNullAt(3)); + + // map[] + Assertions.assertTrue(result.getArray(3).isNullAt(0)); + Assertions.assertTrue(result.getArray(3).getMap(1).keyArray().isNullAt(0)); + + Assertions.assertEquals( + origin.getArray(3).getMap(1).valueArray().getString(0), + result.getArray(3).getMap(1).valueArray().getString(0)); + + Map originMap = new HashMap<>(); + Map resultMap = new HashMap<>(); + fillWithMap(originMap, origin.getArray(3).getMap(2), 0); + fillWithMap(originMap, origin.getArray(3).getMap(2), 1); + fillWithMap(resultMap, result.getArray(3).getMap(2), 0); + fillWithMap(resultMap, result.getArray(3).getMap(2), 1); + Assertions.assertEquals(originMap, resultMap); + + // row[] + Assertions.assertEquals( + origin.getArray(4).getRow(0, 1).getInt(0), + result.getArray(4).getRow(0, 1).getInt(0)); + Assertions.assertEquals( + origin.getArray(4).getRow(1, 1).getInt(0), + result.getArray(4).getRow(1, 1).getInt(0)); + + Assertions.assertEquals( + origin.getRow(5, 2).getArray(0).getRow(0, 2).getArray(0).getArray(0).getInt(0), + result.getRow(5, 2).getArray(0).getRow(0, 2).getArray(0).getArray(0).getInt(0)); + Assertions.assertEquals( + origin.getRow(5, 2).getArray(0).getRow(0, 2).getArray(0).getArray(0).getInt(1), + result.getRow(5, 2).getArray(0).getRow(0, 2).getArray(0).getArray(0).getInt(1)); + Assertions.assertTrue( + result.getRow(5, 2) + .getArray(0) + .getRow(0, 2) + .getArray(0) + .getArray(0) + .isNullAt(2)); + + Assertions.assertEquals( + origin.getRow(5, 2).getArray(0).getRow(0, 2).getArray(0).getArray(1).getInt(0), + result.getRow(5, 2).getArray(0).getRow(0, 2).getArray(0).getArray(1).getInt(0)); + Assertions.assertEquals( + origin.getRow(5, 2).getArray(0).getRow(0, 2).getArray(0).getArray(1).getInt(1), + result.getRow(5, 2).getArray(0).getRow(0, 2).getArray(0).getArray(1).getInt(1)); + Assertions.assertTrue( + result.getRow(5, 2) + .getArray(0) + .getRow(0, 2) + .getArray(0) + .getArray(1) + .isNullAt(2)); + + Assertions.assertEquals( + 0, result.getRow(5, 2).getArray(0).getRow(0, 2).getArray(0).getArray(2).size()); + Assertions.assertTrue( + result.getRow(5, 2).getArray(0).getRow(0, 2).getArray(0).isNullAt(3)); + + Assertions.assertEquals( + origin.getRow(5, 2).getArray(0).getRow(0, 2).getInt(1), + result.getRow(5, 2).getArray(0).getRow(0, 2).getInt(1)); + Assertions.assertEquals(origin.getRow(5, 2).getInt(1), result.getRow(5, 2).getInt(1)); + } + } + + private void fillWithMap(Map map, InternalMap internalMap, int index) { + map.put( + internalMap.keyArray().isNullAt(index) + ? null + : internalMap.keyArray().getString(index).toString(), + internalMap.valueArray().isNullAt(index) + ? null + : internalMap.valueArray().getString(index).toString()); + } } From e8d4d799bda5051976c2fe2fdf7f2f0e84d89b14 Mon Sep 17 00:00:00 2001 From: yuzelin <33053040+yuzelin@users.noreply.github.com> Date: Wed, 3 Jul 2024 11:43:40 +0800 Subject: [PATCH 12/41] [core] Add log in the process of getting FileIO for better troubleshooting (#3658) --- .../java/org/apache/paimon/fs/FileIO.java | 33 +++++++++++++++++++ 1 file changed, 33 insertions(+) diff --git a/paimon-common/src/main/java/org/apache/paimon/fs/FileIO.java b/paimon-common/src/main/java/org/apache/paimon/fs/FileIO.java index bbc69d6f3c54..cd9022e232bf 100644 --- a/paimon-common/src/main/java/org/apache/paimon/fs/FileIO.java +++ b/paimon-common/src/main/java/org/apache/paimon/fs/FileIO.java @@ -335,6 +335,10 @@ default Optional readOverwrittenFileUtf8(Path path) throws IOException { */ static FileIO get(Path path, CatalogContext config) throws IOException { URI uri = path.toUri(); + if (LOG.isDebugEnabled()) { + LOG.debug("Getting FileIO by scheme {}.", uri.getScheme()); + } + if (uri.getScheme() == null) { return new LocalFileIO(); } @@ -362,6 +366,12 @@ static FileIO get(Path path, CatalogContext config) throws IOException { FileIOLoader preferIOLoader = config.preferIO(); try { loader = checkAccess(preferIOLoader, path, config); + if (loader != null && LOG.isDebugEnabled()) { + LOG.debug( + "Found preferIOLoader {} with scheme {}.", + loader.getClass().getName(), + loader.getScheme()); + } } catch (IOException ioException) { ioExceptionList.add(ioException); } @@ -369,6 +379,18 @@ static FileIO get(Path path, CatalogContext config) throws IOException { if (loader == null) { Map loaders = discoverLoaders(); loader = loaders.get(uri.getScheme()); + if (!loaders.isEmpty() && LOG.isDebugEnabled()) { + LOG.debug( + "Discovered FileIOLoaders: {}.", + loaders.entrySet().stream() + .map( + e -> + String.format( + "{%s,%s}", + e.getKey(), + e.getValue().getClass().getName())) + .collect(Collectors.joining(","))); + } } // load fallbackIO @@ -401,6 +423,11 @@ static FileIO get(Path path, CatalogContext config) throws IOException { + "%s", String.join("\n", missOptions))); ioExceptionList.add(exception); + if (LOG.isDebugEnabled()) { + LOG.debug( + "Got {} but miss options. Will try to get fallback IO and Hadoop IO respectively.", + loader.getClass().getName()); + } loader = null; } } @@ -408,6 +435,9 @@ static FileIO get(Path path, CatalogContext config) throws IOException { if (loader == null) { try { loader = checkAccess(fallbackIO, path, config); + if (loader != null && LOG.isDebugEnabled()) { + LOG.debug("Got fallback FileIOLoader: {}.", loader.getClass().getName()); + } } catch (IOException ioException) { ioExceptionList.add(ioException); } @@ -417,6 +447,9 @@ static FileIO get(Path path, CatalogContext config) throws IOException { if (loader == null) { try { loader = checkAccess(new HadoopFileIOLoader(), path, config); + if (loader != null && LOG.isDebugEnabled()) { + LOG.debug("Got hadoop FileIOLoader: {}.", loader.getClass().getName()); + } } catch (IOException ioException) { ioExceptionList.add(ioException); } From c2a2fcdfe1faa1ccf4b63954a453e05e62f7e562 Mon Sep 17 00:00:00 2001 From: Jingsong Lee Date: Wed, 3 Jul 2024 12:09:59 +0800 Subject: [PATCH 13/41] [parquet] Fix parquet timestamp read (#3662) --- .../parquet/reader/ArrayColumnReader.java | 518 ------------------ .../reader/BaseVectorizedColumnReader.java | 291 ---------- .../parquet/reader/MapColumnReader.java | 65 --- .../reader/NestedPrimitiveColumnReader.java | 36 +- .../reader/ParquetDataColumnReader.java | 17 +- .../ParquetDataColumnReaderFactory.java | 92 ++-- .../format/parquet/ParquetReadWriteTest.java | 24 +- 7 files changed, 97 insertions(+), 946 deletions(-) delete mode 100644 paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/ArrayColumnReader.java delete mode 100644 paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/BaseVectorizedColumnReader.java delete mode 100644 paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/MapColumnReader.java diff --git a/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/ArrayColumnReader.java b/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/ArrayColumnReader.java deleted file mode 100644 index 3a602783abab..000000000000 --- a/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/ArrayColumnReader.java +++ /dev/null @@ -1,518 +0,0 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one - * or more contributor license agreements. See the NOTICE file - * distributed with this work for additional information - * regarding copyright ownership. The ASF licenses this file - * to you under the Apache License, Version 2.0 (the - * "License"); you may not use this file except in compliance - * with the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -package org.apache.paimon.format.parquet.reader; - -import org.apache.paimon.data.Timestamp; -import org.apache.paimon.data.columnar.VectorizedColumnBatch; -import org.apache.paimon.data.columnar.heap.HeapArrayVector; -import org.apache.paimon.data.columnar.heap.HeapBooleanVector; -import org.apache.paimon.data.columnar.heap.HeapByteVector; -import org.apache.paimon.data.columnar.heap.HeapBytesVector; -import org.apache.paimon.data.columnar.heap.HeapDoubleVector; -import org.apache.paimon.data.columnar.heap.HeapFloatVector; -import org.apache.paimon.data.columnar.heap.HeapIntVector; -import org.apache.paimon.data.columnar.heap.HeapLongVector; -import org.apache.paimon.data.columnar.heap.HeapShortVector; -import org.apache.paimon.data.columnar.heap.HeapTimestampVector; -import org.apache.paimon.data.columnar.writable.WritableColumnVector; -import org.apache.paimon.types.ArrayType; -import org.apache.paimon.types.DataType; -import org.apache.paimon.types.LocalZonedTimestampType; -import org.apache.paimon.types.TimestampType; - -import org.apache.parquet.column.ColumnDescriptor; -import org.apache.parquet.column.page.PageReader; -import org.apache.parquet.schema.PrimitiveType; -import org.apache.parquet.schema.Type; - -import java.io.IOException; -import java.util.ArrayList; -import java.util.List; - -import static org.apache.paimon.types.DataTypeRoot.TIMESTAMP_WITHOUT_TIME_ZONE; - -/** Array {@link ColumnReader}. TODO Currently ARRAY type only support non nested case. */ -public class ArrayColumnReader extends BaseVectorizedColumnReader { - - // The value read in last time - private Object lastValue; - - // flag to indicate if there is no data in parquet data page - private boolean eof = false; - - // flag to indicate if it's the first time to read parquet data page with this instance - boolean isFirstRow = true; - - public ArrayColumnReader( - ColumnDescriptor descriptor, - PageReader pageReader, - boolean isUtcTimestamp, - Type type, - DataType dataType) - throws IOException { - super(descriptor, pageReader, isUtcTimestamp, type, dataType); - } - - @Override - public void readToVector(int readNumber, WritableColumnVector vector) { - HeapArrayVector lcv = (HeapArrayVector) vector; - // before readBatch, initial the size of offsets & lengths as the default value, - // the actual size will be assigned in setChildrenInfo() after reading complete. - lcv.setOffsets(new long[VectorizedColumnBatch.DEFAULT_SIZE]); - lcv.setLengths(new long[VectorizedColumnBatch.DEFAULT_SIZE]); - - DataType elementType = ((ArrayType) dataType).getElementType(); - - // read the first row in parquet data page, this will be only happened once for this - // instance - if (isFirstRow) { - if (!fetchNextValue(elementType)) { - return; - } - isFirstRow = false; - } - - // Because the length of ListColumnVector.child can't be known now, - // the valueList will save all data for ListColumnVector temporary. - List valueList = new ArrayList<>(); - - int index = collectDataFromParquetPage(readNumber, lcv, valueList, elementType); - // Convert valueList to array for the ListColumnVector.child - fillColumnVector(elementType, lcv, valueList, index); - } - - /** - * Reads a single value from parquet page, puts it into lastValue. Returns a boolean indicating - * if there is more values to read (true). - * - * @param type the element type of array - * @return boolean - */ - private boolean fetchNextValue(DataType type) { - int left = readPageIfNeed(); - if (left > 0) { - // get the values of repetition and definitionLevel - readRepetitionAndDefinitionLevels(); - // read the data if it isn't null - if (definitionLevel == maxDefLevel) { - if (isCurrentPageDictionaryEncoded) { - lastValue = dataColumn.readValueDictionaryId(); - } else { - lastValue = readPrimitiveTypedRow(type); - } - } else { - lastValue = null; - } - return true; - } else { - eof = true; - return false; - } - } - - private int readPageIfNeed() { - // Compute the number of values we want to read in this page. - int leftInPage = (int) (endOfPageValueCount - valuesRead); - if (leftInPage == 0) { - // no data left in current page, load data from new page - readPage(); - leftInPage = (int) (endOfPageValueCount - valuesRead); - } - return leftInPage; - } - - // Need to be in consistent with that VectorizedPrimitiveColumnReader#readBatchHelper - // TODO Reduce the duplicated code - private Object readPrimitiveTypedRow(DataType type) { - switch (type.getTypeRoot()) { - case CHAR: - case VARCHAR: - case BINARY: - case VARBINARY: - return dataColumn.readBytes(); - case BOOLEAN: - return dataColumn.readBoolean(); - case TIME_WITHOUT_TIME_ZONE: - case DATE: - case INTEGER: - return dataColumn.readInteger(); - case TINYINT: - return dataColumn.readTinyInt(); - case SMALLINT: - return dataColumn.readSmallInt(); - case BIGINT: - return dataColumn.readLong(); - case FLOAT: - return dataColumn.readFloat(); - case DOUBLE: - return dataColumn.readDouble(); - case DECIMAL: - switch (descriptor.getPrimitiveType().getPrimitiveTypeName()) { - case INT32: - return dataColumn.readInteger(); - case INT64: - return dataColumn.readLong(); - case BINARY: - case FIXED_LEN_BYTE_ARRAY: - return dataColumn.readBytes(); - } - case TIMESTAMP_WITHOUT_TIME_ZONE: - case TIMESTAMP_WITH_LOCAL_TIME_ZONE: - int precision; - if (type.getTypeRoot() == TIMESTAMP_WITHOUT_TIME_ZONE) { - precision = ((TimestampType) type).getPrecision(); - } else { - precision = ((LocalZonedTimestampType) type).getPrecision(); - } - - if (precision <= 3) { - return dataColumn.readMillsTimestamp(); - } else if (precision <= 6) { - return dataColumn.readMicrosTimestamp(); - } else { - throw new RuntimeException( - "Unsupported precision of time type in the list: " + precision); - } - default: - throw new RuntimeException("Unsupported type in the list: " + type); - } - } - - private Object dictionaryDecodeValue(DataType type, Integer dictionaryValue) { - if (dictionaryValue == null) { - return null; - } - - switch (type.getTypeRoot()) { - case CHAR: - case VARCHAR: - case BINARY: - case VARBINARY: - return dictionary.readBytes(dictionaryValue); - case DATE: - case TIME_WITHOUT_TIME_ZONE: - case INTEGER: - return dictionary.readInteger(dictionaryValue); - case BOOLEAN: - return dictionary.readBoolean(dictionaryValue) ? 1 : 0; - case DOUBLE: - return dictionary.readDouble(dictionaryValue); - case FLOAT: - return dictionary.readFloat(dictionaryValue); - case TINYINT: - return dictionary.readTinyInt(dictionaryValue); - case SMALLINT: - return dictionary.readSmallInt(dictionaryValue); - case BIGINT: - return dictionary.readLong(dictionaryValue); - case DECIMAL: - switch (descriptor.getPrimitiveType().getPrimitiveTypeName()) { - case INT32: - return dictionary.readInteger(dictionaryValue); - case INT64: - return dictionary.readLong(dictionaryValue); - case FIXED_LEN_BYTE_ARRAY: - case BINARY: - return dictionary.readBytes(dictionaryValue); - } - case TIMESTAMP_WITHOUT_TIME_ZONE: - case TIMESTAMP_WITH_LOCAL_TIME_ZONE: - return dictionary.readTimestamp(dictionaryValue); - default: - throw new RuntimeException("Unsupported type in the list: " + type); - } - } - - /** - * Collects data from a parquet page and returns the final row index where it stopped. The - * returned index can be equal to or less than total. - * - * @param total maximum number of rows to collect - * @param lcv column vector to do initial setup in data collection time - * @param valueList collection of values that will be fed into the vector later - * @param type the element type of array - * @return int - */ - private int collectDataFromParquetPage( - int total, HeapArrayVector lcv, List valueList, DataType type) { - int index = 0; - /* - * Here is a nested loop for collecting all values from a parquet page. - * A column of array type can be considered as a list of lists, so the two loops are as below: - * 1. The outer loop iterates on rows (index is a row index, so points to a row in the batch), e.g.: - * [0, 2, 3] <- index: 0 - * [NULL, 3, 4] <- index: 1 - * - * 2. The inner loop iterates on values within a row (sets all data from parquet data page - * for an element in ListColumnVector), so fetchNextValue returns values one-by-one: - * 0, 2, 3, NULL, 3, 4 - * - * As described below, the repetition level (repetitionLevel != 0) - * can be used to decide when we'll start to read values for the next list. - */ - while (!eof && index < total) { - // add element to ListColumnVector one by one - lcv.getOffsets()[index] = valueList.size(); - /* - * Let's collect all values for a single list. - * Repetition level = 0 means that a new list started there in the parquet page, - * in that case, let's exit from the loop, and start to collect value for a new list. - */ - do { - /* - * Definition level = 0 when a NULL value was returned instead of a list - * (this is not the same as a NULL value in of a list). - */ - if (definitionLevel == 0) { - lcv.setNullAt(index); - } - valueList.add( - isCurrentPageDictionaryEncoded - ? dictionaryDecodeValue(type, (Integer) lastValue) - : lastValue); - } while (fetchNextValue(type) && (repetitionLevel != 0)); - - lcv.getLengths()[index] = valueList.size() - lcv.getOffsets()[index]; - index++; - } - return index; - } - - /** - * The lengths & offsets will be initialized as default size (1024), it should be set to the - * actual size according to the element number. - */ - private void setChildrenInfo(HeapArrayVector lcv, int itemNum, int elementNum) { - lcv.setSize(itemNum); - long[] lcvLength = new long[elementNum]; - long[] lcvOffset = new long[elementNum]; - System.arraycopy(lcv.getLengths(), 0, lcvLength, 0, elementNum); - System.arraycopy(lcv.getOffsets(), 0, lcvOffset, 0, elementNum); - lcv.setLengths(lcvLength); - lcv.setOffsets(lcvOffset); - } - - private void fillColumnVector( - DataType type, HeapArrayVector lcv, List valueList, int elementNum) { - int total = valueList.size(); - setChildrenInfo(lcv, total, elementNum); - switch (type.getTypeRoot()) { - case CHAR: - case VARCHAR: - case BINARY: - case VARBINARY: - HeapBytesVector bytesVector = new HeapBytesVector(total); - bytesVector.reset(); - lcv.setChild(bytesVector); - for (int i = 0; i < valueList.size(); i++) { - byte[] src = (byte[]) valueList.get(i); - if (src == null) { - ((HeapBytesVector) lcv.getChild()).setNullAt(i); - } else { - ((HeapBytesVector) lcv.getChild()).appendBytes(i, src, 0, src.length); - } - } - break; - case BOOLEAN: - HeapBooleanVector booleanVector = new HeapBooleanVector(total); - booleanVector.reset(); - lcv.setChild(booleanVector); - for (int i = 0; i < valueList.size(); i++) { - if (valueList.get(i) == null) { - ((HeapBooleanVector) lcv.getChild()).setNullAt(i); - } else { - ((HeapBooleanVector) lcv.getChild()).vector[i] = (boolean) valueList.get(i); - } - } - break; - case TINYINT: - HeapByteVector byteVector = new HeapByteVector(total); - byteVector.reset(); - lcv.setChild(byteVector); - for (int i = 0; i < valueList.size(); i++) { - if (valueList.get(i) == null) { - ((HeapByteVector) lcv.getChild()).setNullAt(i); - } else { - ((HeapByteVector) lcv.getChild()).vector[i] = - ((List) valueList).get(i).byteValue(); - } - } - break; - case SMALLINT: - HeapShortVector shortVector = new HeapShortVector(total); - shortVector.reset(); - lcv.setChild(shortVector); - for (int i = 0; i < valueList.size(); i++) { - if (valueList.get(i) == null) { - ((HeapShortVector) lcv.getChild()).setNullAt(i); - } else { - ((HeapShortVector) lcv.getChild()).vector[i] = - ((List) valueList).get(i).shortValue(); - } - } - break; - case INTEGER: - case DATE: - case TIME_WITHOUT_TIME_ZONE: - HeapIntVector intVector = new HeapIntVector(total); - intVector.reset(); - lcv.setChild(intVector); - for (int i = 0; i < valueList.size(); i++) { - if (valueList.get(i) == null) { - ((HeapIntVector) lcv.getChild()).setNullAt(i); - } else { - ((HeapIntVector) lcv.getChild()).vector[i] = - ((List) valueList).get(i); - } - } - break; - case FLOAT: - HeapFloatVector floatVector = new HeapFloatVector(total); - floatVector.reset(); - lcv.setChild(floatVector); - for (int i = 0; i < valueList.size(); i++) { - if (valueList.get(i) == null) { - ((HeapFloatVector) lcv.getChild()).setNullAt(i); - } else { - ((HeapFloatVector) lcv.getChild()).vector[i] = - ((List) valueList).get(i); - } - } - break; - case BIGINT: - HeapLongVector longVector = new HeapLongVector(total); - longVector.reset(); - lcv.setChild(longVector); - for (int i = 0; i < valueList.size(); i++) { - if (valueList.get(i) == null) { - ((HeapLongVector) lcv.getChild()).setNullAt(i); - } else { - ((HeapLongVector) lcv.getChild()).vector[i] = - ((List) valueList).get(i); - } - } - break; - case DOUBLE: - HeapDoubleVector doubleVector = new HeapDoubleVector(total); - doubleVector.reset(); - lcv.setChild(doubleVector); - for (int i = 0; i < valueList.size(); i++) { - if (valueList.get(i) == null) { - ((HeapDoubleVector) lcv.getChild()).setNullAt(i); - } else { - ((HeapDoubleVector) lcv.getChild()).vector[i] = - ((List) valueList).get(i); - } - } - break; - case TIMESTAMP_WITHOUT_TIME_ZONE: - case TIMESTAMP_WITH_LOCAL_TIME_ZONE: - if (descriptor.getPrimitiveType().getPrimitiveTypeName() - == PrimitiveType.PrimitiveTypeName.INT64) { - HeapTimestampVector heapTimestampVector = new HeapTimestampVector(total); - heapTimestampVector.reset(); - lcv.setChild(new ParquetTimestampVector(heapTimestampVector)); - for (int i = 0; i < valueList.size(); i++) { - if (valueList.get(i) == null) { - ((HeapTimestampVector) - ((ParquetTimestampVector) lcv.getChild()).getVector()) - .setNullAt(i); - } else { - ((HeapTimestampVector) - ((ParquetTimestampVector) lcv.getChild()).getVector()) - .fill(((List) valueList).get(i)); - } - } - break; - } else { - HeapTimestampVector timestampVector = new HeapTimestampVector(total); - timestampVector.reset(); - lcv.setChild(timestampVector); - for (int i = 0; i < valueList.size(); i++) { - if (valueList.get(i) == null) { - ((HeapTimestampVector) lcv.getChild()).setNullAt(i); - } else { - ((HeapTimestampVector) lcv.getChild()) - .setTimestamp(i, ((List) valueList).get(i)); - } - } - break; - } - case DECIMAL: - switch (descriptor.getPrimitiveType().getPrimitiveTypeName()) { - case INT32: - HeapIntVector heapIntVector = new HeapIntVector(total); - heapIntVector.reset(); - lcv.setChild(new ParquetDecimalVector(heapIntVector)); - for (int i = 0; i < valueList.size(); i++) { - if (valueList.get(i) == null) { - ((HeapIntVector) - ((ParquetDecimalVector) lcv.getChild()).getVector()) - .setNullAt(i); - } else { - ((HeapIntVector) - ((ParquetDecimalVector) lcv.getChild()) - .getVector()) - .vector[i] = - ((List) valueList).get(i); - } - } - break; - case INT64: - HeapLongVector heapLongVector = new HeapLongVector(total); - heapLongVector.reset(); - lcv.setChild(new ParquetDecimalVector(heapLongVector)); - for (int i = 0; i < valueList.size(); i++) { - if (valueList.get(i) == null) { - ((HeapLongVector) - ((ParquetDecimalVector) lcv.getChild()).getVector()) - .setNullAt(i); - } else { - ((HeapLongVector) - ((ParquetDecimalVector) lcv.getChild()) - .getVector()) - .vector[i] = - ((List) valueList).get(i); - } - } - break; - default: - HeapBytesVector heapBytesVector = new HeapBytesVector(total); - heapBytesVector.reset(); - lcv.setChild(new ParquetDecimalVector(heapBytesVector)); - for (int i = 0; i < valueList.size(); i++) { - byte[] src = (byte[]) valueList.get(i); - if (valueList.get(i) == null) { - ((HeapBytesVector) - ((ParquetDecimalVector) lcv.getChild()).getVector()) - .setNullAt(i); - } else { - ((HeapBytesVector) - ((ParquetDecimalVector) lcv.getChild()).getVector()) - .appendBytes(i, src, 0, src.length); - } - } - break; - } - break; - default: - throw new RuntimeException("Unsupported type in the list: " + type); - } - } -} diff --git a/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/BaseVectorizedColumnReader.java b/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/BaseVectorizedColumnReader.java deleted file mode 100644 index 0fb4c143c208..000000000000 --- a/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/BaseVectorizedColumnReader.java +++ /dev/null @@ -1,291 +0,0 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one - * or more contributor license agreements. See the NOTICE file - * distributed with this work for additional information - * regarding copyright ownership. The ASF licenses this file - * to you under the Apache License, Version 2.0 (the - * "License"); you may not use this file except in compliance - * with the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -package org.apache.paimon.format.parquet.reader; - -import org.apache.paimon.data.columnar.writable.WritableColumnVector; -import org.apache.paimon.types.DataType; - -import org.apache.parquet.bytes.ByteBufferInputStream; -import org.apache.parquet.bytes.BytesInput; -import org.apache.parquet.bytes.BytesUtils; -import org.apache.parquet.column.ColumnDescriptor; -import org.apache.parquet.column.Encoding; -import org.apache.parquet.column.page.DataPage; -import org.apache.parquet.column.page.DataPageV1; -import org.apache.parquet.column.page.DataPageV2; -import org.apache.parquet.column.page.DictionaryPage; -import org.apache.parquet.column.page.PageReader; -import org.apache.parquet.column.values.ValuesReader; -import org.apache.parquet.column.values.rle.RunLengthBitPackingHybridDecoder; -import org.apache.parquet.io.ParquetDecodingException; -import org.apache.parquet.schema.Type; -import org.slf4j.Logger; -import org.slf4j.LoggerFactory; - -import java.io.ByteArrayInputStream; -import java.io.IOException; - -import static org.apache.parquet.column.ValuesType.DEFINITION_LEVEL; -import static org.apache.parquet.column.ValuesType.REPETITION_LEVEL; -import static org.apache.parquet.column.ValuesType.VALUES; - -/** - * It's column level Parquet reader which is used to read a batch of records for a column, part of - * the code is referred from Apache Hive and Apache Parquet. - */ -public abstract class BaseVectorizedColumnReader implements ColumnReader { - - private static final Logger LOG = LoggerFactory.getLogger(BaseVectorizedColumnReader.class); - - protected boolean isUtcTimestamp; - - /** Total number of values read. */ - protected long valuesRead; - - /** - * value that indicates the end of the current page. That is, if valuesRead == - * endOfPageValueCount, we are at the end of the page. - */ - protected long endOfPageValueCount; - - /** The dictionary, if this column has dictionary encoding. */ - protected final ParquetDataColumnReader dictionary; - - /** If true, the current page is dictionary encoded. */ - protected boolean isCurrentPageDictionaryEncoded; - - /** Maximum definition level for this column. */ - protected final int maxDefLevel; - - protected int definitionLevel; - protected int repetitionLevel; - - /** Repetition/Definition/Value readers. */ - protected IntIterator repetitionLevelColumn; - - protected IntIterator definitionLevelColumn; - protected ParquetDataColumnReader dataColumn; - - /** Total values in the current page. */ - protected int pageValueCount; - - protected final PageReader pageReader; - protected final ColumnDescriptor descriptor; - protected final Type type; - protected final DataType dataType; - - public BaseVectorizedColumnReader( - ColumnDescriptor descriptor, - PageReader pageReader, - boolean isUtcTimestamp, - Type parquetType, - DataType dataType) - throws IOException { - this.descriptor = descriptor; - this.type = parquetType; - this.pageReader = pageReader; - this.maxDefLevel = descriptor.getMaxDefinitionLevel(); - this.isUtcTimestamp = isUtcTimestamp; - this.dataType = dataType; - - DictionaryPage dictionaryPage = pageReader.readDictionaryPage(); - if (dictionaryPage != null) { - try { - this.dictionary = - ParquetDataColumnReaderFactory.getDataColumnReaderByTypeOnDictionary( - parquetType.asPrimitiveType(), - dictionaryPage - .getEncoding() - .initDictionary(descriptor, dictionaryPage), - isUtcTimestamp); - this.isCurrentPageDictionaryEncoded = true; - } catch (IOException e) { - throw new IOException( - String.format("Could not decode the dictionary for %s", descriptor), e); - } - } else { - this.dictionary = null; - this.isCurrentPageDictionaryEncoded = false; - } - } - - protected void readRepetitionAndDefinitionLevels() { - repetitionLevel = repetitionLevelColumn.nextInt(); - definitionLevel = definitionLevelColumn.nextInt(); - valuesRead++; - } - - protected void readPage() { - DataPage page = pageReader.readPage(); - - if (page == null) { - return; - } - - page.accept( - new DataPage.Visitor() { - @Override - public Void visit(DataPageV1 dataPageV1) { - readPageV1(dataPageV1); - return null; - } - - @Override - public Void visit(DataPageV2 dataPageV2) { - readPageV2(dataPageV2); - return null; - } - }); - } - - private void initDataReader(Encoding dataEncoding, ByteBufferInputStream in, int valueCount) - throws IOException { - this.pageValueCount = valueCount; - this.endOfPageValueCount = valuesRead + pageValueCount; - if (dataEncoding.usesDictionary()) { - this.dataColumn = null; - if (dictionary == null) { - throw new IOException( - String.format( - "Could not read page in col %s because the dictionary was missing for encoding %s.", - descriptor, dataEncoding)); - } - dataColumn = - ParquetDataColumnReaderFactory.getDataColumnReaderByType( - type.asPrimitiveType(), - dataEncoding.getDictionaryBasedValuesReader( - descriptor, VALUES, dictionary.getDictionary()), - isUtcTimestamp); - this.isCurrentPageDictionaryEncoded = true; - } else { - dataColumn = - ParquetDataColumnReaderFactory.getDataColumnReaderByType( - type.asPrimitiveType(), - dataEncoding.getValuesReader(descriptor, VALUES), - isUtcTimestamp); - this.isCurrentPageDictionaryEncoded = false; - } - - try { - dataColumn.initFromPage(pageValueCount, in); - } catch (IOException e) { - throw new IOException(String.format("Could not read page in col %s.", descriptor), e); - } - } - - private void readPageV1(DataPageV1 page) { - ValuesReader rlReader = page.getRlEncoding().getValuesReader(descriptor, REPETITION_LEVEL); - ValuesReader dlReader = page.getDlEncoding().getValuesReader(descriptor, DEFINITION_LEVEL); - this.repetitionLevelColumn = new ValuesReaderIntIterator(rlReader); - this.definitionLevelColumn = new ValuesReaderIntIterator(dlReader); - try { - BytesInput bytes = page.getBytes(); - LOG.debug("Page size {} bytes and {} records.", bytes.size(), pageValueCount); - ByteBufferInputStream in = bytes.toInputStream(); - LOG.debug("Reading repetition levels at {}.", in.position()); - rlReader.initFromPage(pageValueCount, in); - LOG.debug("Reading definition levels at {}.", in.position()); - dlReader.initFromPage(pageValueCount, in); - LOG.debug("Reading data at {}.", in.position()); - initDataReader(page.getValueEncoding(), in, page.getValueCount()); - } catch (IOException e) { - throw new ParquetDecodingException( - String.format("Could not read page %s in col %s.", page, descriptor), e); - } - } - - private void readPageV2(DataPageV2 page) { - this.pageValueCount = page.getValueCount(); - this.repetitionLevelColumn = - newRLEIterator(descriptor.getMaxRepetitionLevel(), page.getRepetitionLevels()); - this.definitionLevelColumn = - newRLEIterator(descriptor.getMaxDefinitionLevel(), page.getDefinitionLevels()); - try { - LOG.debug( - "Page data size {} bytes and {} records.", - page.getData().size(), - pageValueCount); - initDataReader( - page.getDataEncoding(), page.getData().toInputStream(), page.getValueCount()); - } catch (IOException e) { - throw new ParquetDecodingException( - String.format("Could not read page %s in col %s.", page, descriptor), e); - } - } - - private IntIterator newRLEIterator(int maxLevel, BytesInput bytes) { - try { - if (maxLevel == 0) { - return new NullIntIterator(); - } - return new RLEIntIterator( - new RunLengthBitPackingHybridDecoder( - BytesUtils.getWidthFromMaxInt(maxLevel), - new ByteArrayInputStream(bytes.toByteArray()))); - } catch (IOException e) { - throw new ParquetDecodingException( - String.format("Could not read levels in page for col %s.", descriptor), e); - } - } - - /** Utility interface to abstract over different way to read ints with different encodings. */ - interface IntIterator { - int nextInt(); - } - - /** Reading int from {@link ValuesReader}. */ - protected static final class ValuesReaderIntIterator implements IntIterator { - ValuesReader delegate; - - public ValuesReaderIntIterator(ValuesReader delegate) { - this.delegate = delegate; - } - - @Override - public int nextInt() { - return delegate.readInteger(); - } - } - - /** Reading int from {@link RunLengthBitPackingHybridDecoder}. */ - protected static final class RLEIntIterator implements IntIterator { - RunLengthBitPackingHybridDecoder delegate; - - public RLEIntIterator(RunLengthBitPackingHybridDecoder delegate) { - this.delegate = delegate; - } - - @Override - public int nextInt() { - try { - return delegate.readInt(); - } catch (IOException e) { - throw new ParquetDecodingException(e); - } - } - } - - /** Reading zero always. */ - protected static final class NullIntIterator implements IntIterator { - @Override - public int nextInt() { - return 0; - } - } -} diff --git a/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/MapColumnReader.java b/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/MapColumnReader.java deleted file mode 100644 index c865617f5148..000000000000 --- a/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/MapColumnReader.java +++ /dev/null @@ -1,65 +0,0 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one - * or more contributor license agreements. See the NOTICE file - * distributed with this work for additional information - * regarding copyright ownership. The ASF licenses this file - * to you under the Apache License, Version 2.0 (the - * "License"); you may not use this file except in compliance - * with the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -package org.apache.paimon.format.parquet.reader; - -import org.apache.paimon.data.columnar.ColumnVector; -import org.apache.paimon.data.columnar.heap.HeapArrayVector; -import org.apache.paimon.data.columnar.heap.HeapMapVector; -import org.apache.paimon.data.columnar.writable.WritableColumnVector; - -import java.io.IOException; - -/** Map {@link ColumnReader}. */ -public class MapColumnReader implements ColumnReader { - - private final ArrayColumnReader keyReader; - private final ArrayColumnReader valueReader; - - public MapColumnReader(ArrayColumnReader keyReader, ArrayColumnReader valueReader) { - this.keyReader = keyReader; - this.valueReader = valueReader; - } - - public void readBatch(int total, ColumnVector column) throws IOException { - HeapMapVector mapVector = (HeapMapVector) column; - // initialize 2 ListColumnVector for keys and values - HeapArrayVector keyArrayColumnVector = new HeapArrayVector(total); - HeapArrayVector valueArrayColumnVector = new HeapArrayVector(total); - // read the keys and values - keyReader.readToVector(total, keyArrayColumnVector); - valueReader.readToVector(total, valueArrayColumnVector); - - // set the related attributes according to the keys and values - mapVector.setKeys(keyArrayColumnVector.getChild()); - mapVector.setValues(valueArrayColumnVector.getChild()); - mapVector.setOffsets(keyArrayColumnVector.getOffsets()); - mapVector.setLengths(keyArrayColumnVector.getLengths()); - mapVector.setSize(keyArrayColumnVector.getSize()); - for (int i = 0; i < keyArrayColumnVector.getLen(); i++) { - if (keyArrayColumnVector.isNullAt(i)) { - mapVector.setNullAt(i); - } - } - } - - @Override - public void readToVector(int readNumber, WritableColumnVector vector) throws IOException { - readBatch(readNumber, vector); - } -} diff --git a/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/NestedPrimitiveColumnReader.java b/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/NestedPrimitiveColumnReader.java index dbbf2028ccf6..0b0d89d4de2c 100644 --- a/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/NestedPrimitiveColumnReader.java +++ b/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/NestedPrimitiveColumnReader.java @@ -31,6 +31,8 @@ import org.apache.paimon.data.columnar.writable.WritableColumnVector; import org.apache.paimon.format.parquet.position.LevelDelegation; import org.apache.paimon.types.DataType; +import org.apache.paimon.types.LocalZonedTimestampType; +import org.apache.paimon.types.TimestampType; import org.apache.paimon.utils.IntArrayList; import org.apache.parquet.bytes.ByteBufferInputStream; @@ -128,7 +130,6 @@ public NestedPrimitiveColumnReader( try { this.dictionary = ParquetDataColumnReaderFactory.getDataColumnReaderByTypeOnDictionary( - parquetType.asPrimitiveType(), dictionaryPage .getEncoding() .initDictionary(descriptor, dictionaryPage), @@ -263,13 +264,24 @@ private Object readPrimitiveTypedRow(DataType category) { return dataColumn.readBytes(); } case TIMESTAMP_WITHOUT_TIME_ZONE: + return readTimestamp(((TimestampType) category).getPrecision()); case TIMESTAMP_WITH_LOCAL_TIME_ZONE: - return dataColumn.readMillsTimestamp(); + return readTimestamp(((LocalZonedTimestampType) category).getPrecision()); default: throw new RuntimeException("Unsupported type in the list: " + type); } } + private Timestamp readTimestamp(int precision) { + if (precision <= 3) { + return dataColumn.readMillsTimestamp(); + } else if (precision <= 6) { + return dataColumn.readMicrosTimestamp(); + } else { + return dataColumn.readNanosTimestamp(); + } + } + private Object dictionaryDecodeValue(DataType category, Integer dictionaryValue) { if (dictionaryValue == null) { return null; @@ -308,13 +320,26 @@ private Object dictionaryDecodeValue(DataType category, Integer dictionaryValue) return dictionary.readBytes(dictionaryValue); } case TIMESTAMP_WITHOUT_TIME_ZONE: + return dictionaryReadTimestamp( + ((TimestampType) category).getPrecision(), dictionaryValue); case TIMESTAMP_WITH_LOCAL_TIME_ZONE: - return dictionary.readTimestamp(dictionaryValue); + return dictionaryReadTimestamp( + ((LocalZonedTimestampType) category).getPrecision(), dictionaryValue); default: throw new RuntimeException("Unsupported type in the list: " + type); } } + private Timestamp dictionaryReadTimestamp(int precision, int dictionaryValue) { + if (precision <= 3) { + return dictionary.readMillsTimestamp(dictionaryValue); + } else if (precision <= 6) { + return dictionary.readMicrosTimestamp(dictionaryValue); + } else { + return dictionary.readNanosTimestamp(dictionaryValue); + } + } + private WritableColumnVector fillColumnVector(int total, List valueList) { switch (dataType.getTypeRoot()) { case CHAR: @@ -499,7 +524,6 @@ private void initDataReader(Encoding dataEncoding, ByteBufferInputStream in, int } dataColumn = ParquetDataColumnReaderFactory.getDataColumnReaderByType( - type.asPrimitiveType(), dataEncoding.getDictionaryBasedValuesReader( descriptor, VALUES, dictionary.getDictionary()), isUtcTimestamp); @@ -507,9 +531,7 @@ private void initDataReader(Encoding dataEncoding, ByteBufferInputStream in, int } else { dataColumn = ParquetDataColumnReaderFactory.getDataColumnReaderByType( - type.asPrimitiveType(), - dataEncoding.getValuesReader(descriptor, VALUES), - isUtcTimestamp); + dataEncoding.getValuesReader(descriptor, VALUES), isUtcTimestamp); this.isCurrentPageDictionaryEncoded = false; } diff --git a/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/ParquetDataColumnReader.java b/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/ParquetDataColumnReader.java index 0d3c220a10e6..53ade64abdbe 100644 --- a/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/ParquetDataColumnReader.java +++ b/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/ParquetDataColumnReader.java @@ -72,6 +72,9 @@ public interface ParquetDataColumnReader { /** @return the next Timestamp with microsecond precision. */ Timestamp readMicrosTimestamp(); + /** @return the next Timestamp with nanos precision. */ + Timestamp readNanosTimestamp(); + /** @return the underlying dictionary if current reader is dictionary encoded */ Dictionary getDictionary(); @@ -127,5 +130,17 @@ public interface ParquetDataColumnReader { * @param id in dictionary * @return the TimestampData from the dictionary by id */ - Timestamp readTimestamp(int id); + Timestamp readMillsTimestamp(int id); + + /** + * @param id in dictionary + * @return the TimestampData from the dictionary by id + */ + Timestamp readMicrosTimestamp(int id); + + /** + * @param id in dictionary + * @return the TimestampData from the dictionary by id + */ + Timestamp readNanosTimestamp(int id); } diff --git a/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/ParquetDataColumnReaderFactory.java b/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/ParquetDataColumnReaderFactory.java index 382704f1c076..c3e05e0aeeed 100644 --- a/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/ParquetDataColumnReaderFactory.java +++ b/paimon-format/src/main/java/org/apache/paimon/format/parquet/reader/ParquetDataColumnReaderFactory.java @@ -24,7 +24,6 @@ import org.apache.parquet.column.Dictionary; import org.apache.parquet.column.values.ValuesReader; import org.apache.parquet.io.api.Binary; -import org.apache.parquet.schema.PrimitiveType; import javax.annotation.Nullable; @@ -47,18 +46,22 @@ private ParquetDataColumnReaderFactory() {} * The default data column reader for existing Parquet page reader which works for both * dictionary or non dictionary types, Mirror from dictionary encoding path. */ - public static class DefaultParquetDataColumnReader implements ParquetDataColumnReader { - protected final ValuesReader valuesReader; - protected final Dictionary dict; + private static class DefaultParquetDataColumnReader implements ParquetDataColumnReader { - public DefaultParquetDataColumnReader(ValuesReader valuesReader) { + private final ValuesReader valuesReader; + private final Dictionary dict; + private final boolean isUtcTimestamp; + + public DefaultParquetDataColumnReader(ValuesReader valuesReader, boolean isUtcTimestamp) { this.valuesReader = checkNotNull(valuesReader); this.dict = null; + this.isUtcTimestamp = isUtcTimestamp; } - public DefaultParquetDataColumnReader(Dictionary dict) { + public DefaultParquetDataColumnReader(Dictionary dict, boolean isUtcTimestamp) { this.valuesReader = null; this.dict = checkNotNull(dict); + this.isUtcTimestamp = isUtcTimestamp; } @Override @@ -117,8 +120,23 @@ public Timestamp readMicrosTimestamp() { } @Override - public Timestamp readTimestamp(int id) { - throw new RuntimeException("Unsupported operation"); + public Timestamp readNanosTimestamp() { + return int96TimestampConvert(valuesReader.readBytes()); + } + + @Override + public Timestamp readMillsTimestamp(int id) { + return Timestamp.fromEpochMillis(readLong(id)); + } + + @Override + public Timestamp readMicrosTimestamp(int id) { + return Timestamp.fromMicros(readLong(id)); + } + + @Override + public Timestamp readNanosTimestamp(int id) { + return int96TimestampConvert(dict.decodeToBinary(id)); } @Override @@ -166,31 +184,12 @@ public int readValueDictionaryId() { return valuesReader.readValueDictionaryId(); } - public void skip() { - valuesReader.skip(); - } - @Override public Dictionary getDictionary() { return dict; } - } - - /** The reader who reads from the underlying Timestamp value. */ - public static class TypesFromInt96PageReader extends DefaultParquetDataColumnReader { - private final boolean isUtcTimestamp; - - public TypesFromInt96PageReader(ValuesReader realReader, boolean isUtcTimestamp) { - super(realReader); - this.isUtcTimestamp = isUtcTimestamp; - } - public TypesFromInt96PageReader(Dictionary dict, boolean isUtcTimestamp) { - super(dict); - this.isUtcTimestamp = isUtcTimestamp; - } - - private Timestamp convert(Binary binary) { + private Timestamp int96TimestampConvert(Binary binary) { ByteBuffer buf = binary.toByteBuffer(); buf.order(ByteOrder.LITTLE_ENDIAN); long timeOfDayNanos = buf.getLong(); @@ -198,48 +197,25 @@ private Timestamp convert(Binary binary) { return TimestampColumnReader.int96ToTimestamp( isUtcTimestamp, timeOfDayNanos, julianDay); } - - @Override - public Timestamp readTimestamp(int id) { - return convert(dict.decodeToBinary(id)); - } - - @Override - public Timestamp readMillsTimestamp() { - return convert(valuesReader.readBytes()); - } - - @Override - public Timestamp readMicrosTimestamp() { - return convert(valuesReader.readBytes()); - } } private static ParquetDataColumnReader getDataColumnReaderByTypeHelper( boolean isDictionary, - PrimitiveType parquetType, @Nullable Dictionary dictionary, @Nullable ValuesReader valuesReader, boolean isUtcTimestamp) { - if (parquetType.getPrimitiveTypeName() == PrimitiveType.PrimitiveTypeName.INT96) { - return isDictionary - ? new TypesFromInt96PageReader(dictionary, isUtcTimestamp) - : new TypesFromInt96PageReader(valuesReader, isUtcTimestamp); - } else { - return isDictionary - ? new DefaultParquetDataColumnReader(dictionary) - : new DefaultParquetDataColumnReader(valuesReader); - } + return isDictionary + ? new DefaultParquetDataColumnReader(dictionary, isUtcTimestamp) + : new DefaultParquetDataColumnReader(valuesReader, isUtcTimestamp); } public static ParquetDataColumnReader getDataColumnReaderByTypeOnDictionary( - PrimitiveType parquetType, Dictionary realReader, boolean isUtcTimestamp) { - return getDataColumnReaderByTypeHelper(true, parquetType, realReader, null, isUtcTimestamp); + Dictionary realReader, boolean isUtcTimestamp) { + return getDataColumnReaderByTypeHelper(true, realReader, null, isUtcTimestamp); } public static ParquetDataColumnReader getDataColumnReaderByType( - PrimitiveType parquetType, ValuesReader realReader, boolean isUtcTimestamp) { - return getDataColumnReaderByTypeHelper( - false, parquetType, null, realReader, isUtcTimestamp); + ValuesReader realReader, boolean isUtcTimestamp) { + return getDataColumnReaderByTypeHelper(false, null, realReader, isUtcTimestamp); } } diff --git a/paimon-format/src/test/java/org/apache/paimon/format/parquet/ParquetReadWriteTest.java b/paimon-format/src/test/java/org/apache/paimon/format/parquet/ParquetReadWriteTest.java index 56aa838753cc..03e1ec072820 100644 --- a/paimon-format/src/test/java/org/apache/paimon/format/parquet/ParquetReadWriteTest.java +++ b/paimon-format/src/test/java/org/apache/paimon/format/parquet/ParquetReadWriteTest.java @@ -81,6 +81,7 @@ import java.util.Map; import java.util.Random; import java.util.UUID; +import java.util.concurrent.ThreadLocalRandom; import java.util.concurrent.atomic.AtomicBoolean; import java.util.concurrent.atomic.AtomicInteger; import java.util.concurrent.atomic.AtomicReference; @@ -135,7 +136,9 @@ public class ParquetReadWriteTest { new MultisetType(new VarCharType(VarCharType.MAX_LENGTH)), RowType.builder() .fields(new VarCharType(VarCharType.MAX_LENGTH), new IntType()) - .build()) + .build(), + new MapType( + new TimestampType(6), new VarCharType(VarCharType.MAX_LENGTH))) .build(); private static final RowType NESTED_ARRAY_MAP_TYPE = @@ -469,6 +472,9 @@ private Path createTempParquetFileByPaimon( Path path = new Path(folder.getPath(), UUID.randomUUID().toString()); Options conf = new Options(); conf.setInteger("parquet.block.size", rowGroupSize); + if (ThreadLocalRandom.current().nextBoolean()) { + conf.set("parquet.enable.dictionary", "false"); + } ParquetWriterFactory factory = new ParquetWriterFactory(new RowDataParquetBuilder(rowType, conf)); String[] candidates = new String[] {"snappy", "zstd", "gzip"}; @@ -611,17 +617,22 @@ private InternalRow newRow(Integer v) { return new GenericRow(ROW_TYPE.getFieldCount()); } + BinaryString str = BinaryString.fromString("" + v); + Map f30 = new HashMap<>(); - f30.put(BinaryString.fromString("" + v), BinaryString.fromString("" + v)); + f30.put(str, str); Map f31 = new HashMap<>(); f31.put(v, v % 2 == 0); Map f32 = new HashMap<>(); - f32.put(BinaryString.fromString("" + v), v); + f32.put(str, v); + + Map f34 = new HashMap<>(); + f34.put(toMicros(v), str); return GenericRow.of( - BinaryString.fromString("" + v), + str, v % 2 == 0, v.byteValue(), v.shortValue(), @@ -638,7 +649,7 @@ private InternalRow newRow(Integer v) { Decimal.fromBigDecimal(BigDecimal.valueOf(v), 5, 0), Decimal.fromBigDecimal(BigDecimal.valueOf(v), 15, 0), Decimal.fromBigDecimal(BigDecimal.valueOf(v), 20, 0), - new GenericArray(new Object[] {BinaryString.fromString("" + v), null}), + new GenericArray(new Object[] {str, null}), new GenericArray(new Object[] {v % 2 == 0, null}), new GenericArray(new Object[] {v.byteValue(), null}), new GenericArray(new Object[] {v.shortValue(), null}), @@ -670,7 +681,8 @@ private InternalRow newRow(Integer v) { new GenericMap(f30), new GenericMap(f31), new GenericMap(f32), - GenericRow.of(BinaryString.fromString("" + v), v)); + GenericRow.of(str, v), + new GenericMap(f34)); } private Timestamp toMills(Integer v) { From 52f50c2bc2ffe28672c0756c32dd0a2dc11c63a2 Mon Sep 17 00:00:00 2001 From: herefree <841043203@qq.com> Date: Wed, 3 Jul 2024 13:11:56 +0800 Subject: [PATCH 14/41] [core] BranchesTable column created_from_tag and created_from_snapshot should be nullable (#3659) --- .../java/org/apache/paimon/table/system/BranchesTable.java | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/paimon-core/src/main/java/org/apache/paimon/table/system/BranchesTable.java b/paimon-core/src/main/java/org/apache/paimon/table/system/BranchesTable.java index f373706419c2..025a87396ee6 100644 --- a/paimon-core/src/main/java/org/apache/paimon/table/system/BranchesTable.java +++ b/paimon-core/src/main/java/org/apache/paimon/table/system/BranchesTable.java @@ -71,8 +71,8 @@ public class BranchesTable implements ReadonlyTable { new DataField( 0, "branch_name", SerializationUtils.newStringType(false)), new DataField( - 1, "created_from_tag", SerializationUtils.newStringType(false)), - new DataField(2, "created_from_snapshot", new BigIntType(false)), + 1, "created_from_tag", SerializationUtils.newStringType(true)), + new DataField(2, "created_from_snapshot", new BigIntType(true)), new DataField(3, "create_time", new TimestampType(false, 3)))); private final FileIO fileIO; From a08d7f388c7b072383a3fd08f4694b659ba849f0 Mon Sep 17 00:00:00 2001 From: Jingsong Lee Date: Wed, 3 Jul 2024 13:38:50 +0800 Subject: [PATCH 15/41] [core] Legacy files should always drop delete rows (#3661) --- .../splitread/RawFileSplitReadProvider.java | 15 ++++++++++++++- 1 file changed, 14 insertions(+), 1 deletion(-) diff --git a/paimon-core/src/main/java/org/apache/paimon/table/source/splitread/RawFileSplitReadProvider.java b/paimon-core/src/main/java/org/apache/paimon/table/source/splitread/RawFileSplitReadProvider.java index 9959ee555189..4959e02ca4fc 100644 --- a/paimon-core/src/main/java/org/apache/paimon/table/source/splitread/RawFileSplitReadProvider.java +++ b/paimon-core/src/main/java/org/apache/paimon/table/source/splitread/RawFileSplitReadProvider.java @@ -19,6 +19,7 @@ package org.apache.paimon.table.source.splitread; import org.apache.paimon.data.InternalRow; +import org.apache.paimon.io.DataFileMeta; import org.apache.paimon.operation.RawFileSplitRead; import org.apache.paimon.operation.SplitRead; import org.apache.paimon.table.source.DataSplit; @@ -45,7 +46,19 @@ public RawFileSplitReadProvider( @Override public boolean match(DataSplit split, boolean forceKeepDelete) { - return !forceKeepDelete && !split.isStreaming() && split.rawConvertible(); + boolean matched = !forceKeepDelete && !split.isStreaming() && split.rawConvertible(); + if (matched) { + // for legacy version, we are not sure if there are delete rows, but in order to be + // compatible with the query acceleration of the OLAP engine, we have generated raw + // files. + // Here, for the sake of correctness, we still need to perform drop delete filtering. + for (DataFileMeta file : split.dataFiles()) { + if (!file.deleteRowCount().isPresent()) { + return false; + } + } + } + return matched; } @Override From 6573930d4956aca05d67e8ec155ef82b0f2bdfc6 Mon Sep 17 00:00:00 2001 From: Zouxxyy Date: Wed, 3 Jul 2024 16:19:10 +0800 Subject: [PATCH 16/41] [spark] Fix merge into update on source eq target condition (#3665) --- .../catalyst/analysis/RowLevelHelper.scala | 4 ++-- .../spark/sql/MergeIntoTableTestBase.scala | 24 +++++++++++++++++++ 2 files changed, 26 insertions(+), 2 deletions(-) diff --git a/paimon-spark/paimon-spark-common/src/main/scala/org/apache/paimon/spark/catalyst/analysis/RowLevelHelper.scala b/paimon-spark/paimon-spark-common/src/main/scala/org/apache/paimon/spark/catalyst/analysis/RowLevelHelper.scala index 9981e7d3cc7c..eecf0542e1d1 100644 --- a/paimon-spark/paimon-spark-common/src/main/scala/org/apache/paimon/spark/catalyst/analysis/RowLevelHelper.scala +++ b/paimon-spark/paimon-spark-common/src/main/scala/org/apache/paimon/spark/catalyst/analysis/RowLevelHelper.scala @@ -66,8 +66,8 @@ trait RowLevelHelper extends SQLConfHelper { case Assignment(key, value) => key == value } .exists { - case EqualTo(left: AttributeReference, _) => - isTargetPrimaryKey(left) + case EqualTo(left: AttributeReference, right: AttributeReference) => + isTargetPrimaryKey(left) || isTargetPrimaryKey(right) case Assignment(key: AttributeReference, _) => isTargetPrimaryKey(key) case _ => false diff --git a/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/sql/MergeIntoTableTestBase.scala b/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/sql/MergeIntoTableTestBase.scala index bf8e72f7920f..2fa49d1c12c5 100644 --- a/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/sql/MergeIntoTableTestBase.scala +++ b/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/sql/MergeIntoTableTestBase.scala @@ -621,4 +621,28 @@ abstract class MergeIntoTableTestBase extends PaimonSparkTestBase { assert(error.contains("Only support to MergeInto table with primary keys.")) } } + + test(s"Paimon MergeInto: update on source eq target condition") { + withTable("source", "target") { + Seq((1, 100, "c11"), (3, 300, "c33")).toDF("a", "b", "c").createOrReplaceTempView("source") + + sql(s""" + |CREATE TABLE target (a INT, b INT, c STRING) + |TBLPROPERTIES ('primary-key'='a') + |""".stripMargin) + sql("INSERT INTO target values (1, 10, 'c1'), (2, 20, 'c2')") + + sql(s""" + |MERGE INTO target + |USING source + |ON source.a = target.a + |WHEN MATCHED THEN + |UPDATE SET a = source.a, b = source.b, c = source.c + |""".stripMargin) + + checkAnswer( + sql("SELECT * FROM target ORDER BY a, b"), + Row(1, 100, "c11") :: Row(2, 20, "c2") :: Nil) + } + } } From d9b7be5183d2d7806f63e577fc5afb8386977224 Mon Sep 17 00:00:00 2001 From: Jingsong Lee Date: Wed, 3 Jul 2024 19:44:30 +0800 Subject: [PATCH 17/41] [core] Parquet becomes default file format (#3663) --- .../generated/core_configuration.html | 2 +- .../java/org/apache/paimon/CoreOptions.java | 2 +- .../paimon/sort/hilbert/HilbertIndexer.java | 4 +- .../paimon/format/FormatReadWriteTest.java | 49 +++++++------------ .../paimon/schema/SchemaSerializer.java | 8 ++- .../org/apache/paimon/schema/TableSchema.java | 3 +- .../schema/TableSchemaSerializationTest.java | 19 ++++++- .../table/ColumnTypeFileMetaTestBase.java | 5 +- .../table/PrimaryKeyFileDataTableTest.java | 2 +- ...PrimaryKeyTableColumnTypeFileMetaTest.java | 5 +- .../paimon/table/system/FilesTableTest.java | 2 +- .../org/apache/paimon/tests/TypeE2eTest.java | 16 +++--- .../flink/action/cdc/CdcActionITCaseBase.java | 2 + .../PostgresSyncTableActionITCase.java | 8 ++- .../paimon/flink/CatalogTableITCase.java | 20 ++++---- .../paimon/flink/SchemaChangeITCase.java | 6 +-- ...rtCompactActionForUnawareBucketITCase.java | 2 +- .../flink/sink/CommitterOperatorTest.java | 2 +- .../parquet/ParquetFormatReadWriteTest.java | 5 -- 19 files changed, 87 insertions(+), 75 deletions(-) diff --git a/docs/layouts/shortcodes/generated/core_configuration.html b/docs/layouts/shortcodes/generated/core_configuration.html index e57becbab96d..e66438fcd5b0 100644 --- a/docs/layouts/shortcodes/generated/core_configuration.html +++ b/docs/layouts/shortcodes/generated/core_configuration.html @@ -286,7 +286,7 @@
        file.format
        - "orc" + "parquet" String Specify the message format of data files, currently orc, parquet and avro are supported. diff --git a/paimon-common/src/main/java/org/apache/paimon/CoreOptions.java b/paimon-common/src/main/java/org/apache/paimon/CoreOptions.java index c215a2eaa9b4..0f4a4afd06a4 100644 --- a/paimon-common/src/main/java/org/apache/paimon/CoreOptions.java +++ b/paimon-common/src/main/java/org/apache/paimon/CoreOptions.java @@ -129,7 +129,7 @@ public class CoreOptions implements Serializable { public static final ConfigOption FILE_FORMAT = key("file.format") .stringType() - .defaultValue(FILE_FORMAT_ORC) + .defaultValue(FILE_FORMAT_PARQUET) .withDescription( "Specify the message format of data files, currently orc, parquet and avro are supported."); diff --git a/paimon-common/src/main/java/org/apache/paimon/sort/hilbert/HilbertIndexer.java b/paimon-common/src/main/java/org/apache/paimon/sort/hilbert/HilbertIndexer.java index b7522730930f..14637a6b1a29 100644 --- a/paimon-common/src/main/java/org/apache/paimon/sort/hilbert/HilbertIndexer.java +++ b/paimon-common/src/main/java/org/apache/paimon/sort/hilbert/HilbertIndexer.java @@ -231,12 +231,12 @@ public HProcessFunction visit(DoubleType doubleType) { @Override public HProcessFunction visit(DateType dateType) { - return (row) -> row.isNullAt(fieldIndex) ? PRIMITIVE_EMPTY : row.getLong(fieldIndex); + return (row) -> row.isNullAt(fieldIndex) ? PRIMITIVE_EMPTY : row.getInt(fieldIndex); } @Override public HProcessFunction visit(TimeType timeType) { - return (row) -> row.isNullAt(fieldIndex) ? PRIMITIVE_EMPTY : row.getLong(fieldIndex); + return (row) -> row.isNullAt(fieldIndex) ? PRIMITIVE_EMPTY : row.getInt(fieldIndex); } @Override diff --git a/paimon-common/src/test/java/org/apache/paimon/format/FormatReadWriteTest.java b/paimon-common/src/test/java/org/apache/paimon/format/FormatReadWriteTest.java index 8945eb41302b..78e66b64a745 100644 --- a/paimon-common/src/test/java/org/apache/paimon/format/FormatReadWriteTest.java +++ b/paimon-common/src/test/java/org/apache/paimon/format/FormatReadWriteTest.java @@ -75,10 +75,6 @@ public void beforeEach() { protected abstract FileFormat fileFormat(); - protected boolean supportNestedNested() { - return true; - } - @Test public void testSimpleTypes() throws IOException { RowType rowType = DataTypes.ROW(DataTypes.INT().notNull(), DataTypes.BIGINT()); @@ -162,24 +158,22 @@ private RowType rowTypeForFullTypesTest() { .field("date", DataTypes.DATE()) .field("decimal", DataTypes.DECIMAL(2, 2)) .field("decimal2", DataTypes.DECIMAL(38, 2)) - .field("decimal3", DataTypes.DECIMAL(10, 1)); - - if (supportNestedNested()) { - builder.field( - "rowArray", - DataTypes.ARRAY( - DataTypes.ROW( - DataTypes.FIELD( - 0, - "int0", - DataTypes.INT().notNull(), - "nested row int field 0"), - DataTypes.FIELD( - 1, - "double1", - DataTypes.DOUBLE().notNull(), - "nested row double field 1")))); - } + .field("decimal3", DataTypes.DECIMAL(10, 1)) + .field( + "rowArray", + DataTypes.ARRAY( + DataTypes.ROW( + DataTypes.FIELD( + 0, + "int0", + DataTypes.INT().notNull(), + "nested row int field 0"), + DataTypes.FIELD( + 1, + "double1", + DataTypes.DOUBLE().notNull(), + "nested row double field 1")))); + RowType rowType = builder.build(); if (ThreadLocalRandom.current().nextBoolean()) { @@ -217,14 +211,9 @@ private GenericRow expectedRowForFullTypesTest() { 2456, Decimal.fromBigDecimal(new BigDecimal("0.22"), 2, 2), Decimal.fromBigDecimal(new BigDecimal("12312455.22"), 38, 2), - Decimal.fromBigDecimal(new BigDecimal("12455.1"), 10, 1)); - - if (supportNestedNested()) { - values = new ArrayList<>(values); - values.add( - new GenericArray( - new Object[] {GenericRow.of(1, 0.1D), GenericRow.of(2, 0.2D)})); - } + Decimal.fromBigDecimal(new BigDecimal("12455.1"), 10, 1), + new GenericArray( + new Object[] {GenericRow.of(1, 0.1D), GenericRow.of(2, 0.2D)})); return GenericRow.of(values.toArray()); } diff --git a/paimon-core/src/main/java/org/apache/paimon/schema/SchemaSerializer.java b/paimon-core/src/main/java/org/apache/paimon/schema/SchemaSerializer.java index dd77497fef96..4fb28359c92f 100644 --- a/paimon-core/src/main/java/org/apache/paimon/schema/SchemaSerializer.java +++ b/paimon-core/src/main/java/org/apache/paimon/schema/SchemaSerializer.java @@ -34,7 +34,9 @@ import java.util.Map; import static org.apache.paimon.CoreOptions.BUCKET; +import static org.apache.paimon.CoreOptions.FILE_FORMAT; import static org.apache.paimon.schema.TableSchema.PAIMON_07_VERSION; +import static org.apache.paimon.schema.TableSchema.PAIMON_08_VERSION; /** A {@link JsonSerializer} for {@link TableSchema}. */ public class SchemaSerializer @@ -119,10 +121,14 @@ public TableSchema deserialize(JsonNode node) { String key = optionsKeys.next(); options.put(key, optionsJson.get(key).asText()); } - if (version == PAIMON_07_VERSION && !options.containsKey(BUCKET.key())) { + if (version <= PAIMON_07_VERSION && !options.containsKey(BUCKET.key())) { // the default value of BUCKET in old version is 1 options.put(BUCKET.key(), "1"); } + if (version <= PAIMON_08_VERSION && !options.containsKey(FILE_FORMAT.key())) { + // the default value of FILE_FORMAT in old version is orc + options.put(FILE_FORMAT.key(), "orc"); + } JsonNode commentNode = node.get("comment"); String comment = null; diff --git a/paimon-core/src/main/java/org/apache/paimon/schema/TableSchema.java b/paimon-core/src/main/java/org/apache/paimon/schema/TableSchema.java index 4f94c6470a2a..bcad8e92b8a5 100644 --- a/paimon-core/src/main/java/org/apache/paimon/schema/TableSchema.java +++ b/paimon-core/src/main/java/org/apache/paimon/schema/TableSchema.java @@ -49,7 +49,8 @@ public class TableSchema implements Serializable { private static final long serialVersionUID = 1L; public static final int PAIMON_07_VERSION = 1; - public static final int CURRENT_VERSION = 2; + public static final int PAIMON_08_VERSION = 2; + public static final int CURRENT_VERSION = 3; // version of schema for paimon private final int version; diff --git a/paimon-core/src/test/java/org/apache/paimon/schema/TableSchemaSerializationTest.java b/paimon-core/src/test/java/org/apache/paimon/schema/TableSchemaSerializationTest.java index 4657f0f89877..efc96ef4d56b 100644 --- a/paimon-core/src/test/java/org/apache/paimon/schema/TableSchemaSerializationTest.java +++ b/paimon-core/src/test/java/org/apache/paimon/schema/TableSchemaSerializationTest.java @@ -34,6 +34,7 @@ import java.util.Map; import static org.apache.paimon.schema.TableSchema.PAIMON_07_VERSION; +import static org.apache.paimon.schema.TableSchema.PAIMON_08_VERSION; import static org.apache.paimon.schema.TableSchemaTest.newRowType; import static org.assertj.core.api.Assertions.assertThat; @@ -61,6 +62,22 @@ public void testSchema() { assertSerDeser( new TableSchema(1, fields, 10, partitionKeys, primaryKeys, options, "my_comment"), Collections.emptyMap()); + Map additionalOptions = new HashMap<>(); + additionalOptions.put("file.format", "orc"); + assertSerDeser( + new TableSchema( + PAIMON_08_VERSION, + 1, + fields, + 10, + partitionKeys, + primaryKeys, + options, + "my_comment", + System.currentTimeMillis()), + additionalOptions); + + additionalOptions.put("bucket", "1"); assertSerDeser( new TableSchema( PAIMON_07_VERSION, @@ -72,7 +89,7 @@ public void testSchema() { options, "my_comment", System.currentTimeMillis()), - Collections.singletonMap("bucket", "1")); + additionalOptions); } private void assertSerDeser(TableSchema tableSchema, Map additionalOptions) { diff --git a/paimon-core/src/test/java/org/apache/paimon/table/ColumnTypeFileMetaTestBase.java b/paimon-core/src/test/java/org/apache/paimon/table/ColumnTypeFileMetaTestBase.java index e54184e73758..12544a093e9f 100644 --- a/paimon-core/src/test/java/org/apache/paimon/table/ColumnTypeFileMetaTestBase.java +++ b/paimon-core/src/test/java/org/apache/paimon/table/ColumnTypeFileMetaTestBase.java @@ -302,8 +302,9 @@ private void checkTwoValues(InternalRow min, InternalRow max) { assertThat(min.getInt(0)).isEqualTo(2); assertThat(max.getInt(0)).isEqualTo(2); - assertThat(min.getString(1)).isEqualTo(BinaryString.fromString("200 ")); - assertThat(max.getString(1)).isEqualTo(BinaryString.fromString("300 ")); + // parquet does not support padding + assertThat(min.getString(1).toString()).startsWith("200"); + assertThat(max.getString(1).toString()).startsWith("300"); assertThat(min.getString(2)).isEqualTo(BinaryString.fromString("201")); assertThat(max.getString(2)).isEqualTo(BinaryString.fromString("301")); diff --git a/paimon-core/src/test/java/org/apache/paimon/table/PrimaryKeyFileDataTableTest.java b/paimon-core/src/test/java/org/apache/paimon/table/PrimaryKeyFileDataTableTest.java index 4c75b23dcc58..1be321975466 100644 --- a/paimon-core/src/test/java/org/apache/paimon/table/PrimaryKeyFileDataTableTest.java +++ b/paimon-core/src/test/java/org/apache/paimon/table/PrimaryKeyFileDataTableTest.java @@ -209,7 +209,7 @@ public void testStreamingFilterKey() throws Exception { .read() .dataSplits()); // filter with "kt" = 116 in schema0 - TableRead read = table.newRead().withFilter(builder.equal(4, 116)); + TableRead read = table.newRead().withFilter(builder.equal(4, 116L)); assertThat(getResult(read, splits, STREAMING_SCHEMA_0_ROW_TO_STRING)) .hasSameElementsAs( diff --git a/paimon-core/src/test/java/org/apache/paimon/table/PrimaryKeyTableColumnTypeFileMetaTest.java b/paimon-core/src/test/java/org/apache/paimon/table/PrimaryKeyTableColumnTypeFileMetaTest.java index d9a2518f041d..45b67842b985 100644 --- a/paimon-core/src/test/java/org/apache/paimon/table/PrimaryKeyTableColumnTypeFileMetaTest.java +++ b/paimon-core/src/test/java/org/apache/paimon/table/PrimaryKeyTableColumnTypeFileMetaTest.java @@ -130,8 +130,9 @@ protected void validateValuesWithNewSchema( InternalRow max = serializer.evolution(stats.maxValues()); assertThat(min.getFieldCount()).isEqualTo(4); if (filesName.contains(fileMeta.fileName())) { - assertThat(min.getString(0)).isEqualTo(BinaryString.fromString("200 ")); - assertThat(max.getString(0)).isEqualTo(BinaryString.fromString("300 ")); + // parquet does not support padding + assertThat(min.getString(0).toString()).startsWith("200"); + assertThat(max.getString(0).toString()).startsWith("300"); assertThat(min.getString(1)).isEqualTo(BinaryString.fromString("201")); assertThat(max.getString(1)).isEqualTo(BinaryString.fromString("301")); diff --git a/paimon-core/src/test/java/org/apache/paimon/table/system/FilesTableTest.java b/paimon-core/src/test/java/org/apache/paimon/table/system/FilesTableTest.java index 6a09963250ec..e26e3ba2ac7b 100644 --- a/paimon-core/src/test/java/org/apache/paimon/table/system/FilesTableTest.java +++ b/paimon-core/src/test/java/org/apache/paimon/table/system/FilesTableTest.java @@ -193,7 +193,7 @@ private List getExceptedResult(long snapshotId) { Arrays.toString(new String[] {partition1, partition2})), fileEntry.bucket(), BinaryString.fromString(file.fileName()), - BinaryString.fromString("orc"), + BinaryString.fromString(file.fileFormat()), file.schemaId(), file.level(), file.rowCount(), diff --git a/paimon-e2e-tests/src/test/java/org/apache/paimon/tests/TypeE2eTest.java b/paimon-e2e-tests/src/test/java/org/apache/paimon/tests/TypeE2eTest.java index 41e68b3501e2..bbd1b22aca6e 100644 --- a/paimon-e2e-tests/src/test/java/org/apache/paimon/tests/TypeE2eTest.java +++ b/paimon-e2e-tests/src/test/java/org/apache/paimon/tests/TypeE2eTest.java @@ -41,8 +41,8 @@ public void testAllTypesAsKey() throws Exception { "f6 DOUBLE,", "f7 DECIMAL(5, 3),", "f8 DECIMAL(26, 8),", - "f9 CHAR(10),", - "f10 VARCHAR(10),", + "f9 string,", + "f10 string,", "f11 STRING,", "f12 BYTES,", "f13 DATE,", @@ -68,7 +68,7 @@ public void testAllTypesAsKey() throws Exception { + "true, cast(1 as tinyint), cast(10 as smallint), " + "100, 1000, cast(1.1 as float), 1.11, 12.456, " + "cast('123456789123456789.12345678' as decimal(26, 8)), " - + "cast('hi' as char(10)), 'hello', 'table桌子store商店', " + + "cast('hi' as string), 'hello', 'table桌子store商店', " + "ENCODE('table桌子store商店', 'UTF-8'), " + "DATE '2022-04-28', TIMESTAMP '2022-04-28 15:35:45.123', " + "ARRAY['hi', 'hello', cast(null as string), 'test'], (1, 10, '测试')" @@ -76,7 +76,7 @@ public void testAllTypesAsKey() throws Exception { + "cast(null as boolean), cast(null as tinyint), cast(null as smallint), " + "cast(null as int), cast(null as bigint), cast(null as float), " + "cast(null as double), cast(null as decimal(5, 3)), cast(null as decimal(26, 8)), " - + "cast(null as char(10)), cast(null as varchar(10)), cast(null as string), " + + "cast(null as string), cast(null as string), cast(null as string), " + "cast(null as bytes), cast(null as date), cast(null as timestamp(3)), " + "cast(null as array), cast(null as row)" + ");", @@ -117,8 +117,8 @@ public void testAllTypesAsValue() throws Exception { "f6 DOUBLE,", "f7 DECIMAL(5, 3),", "f8 DECIMAL(26, 8),", - "f9 CHAR(10),", - "f10 VARCHAR(10),", + "f9 STRING,", + "f10 STRING,", "f11 STRING,", "f12 BYTES,", "f13 DATE,", @@ -153,7 +153,7 @@ public void testAllTypesAsValue() throws Exception { + "true, cast(1 as tinyint), cast(10 as smallint), " + "100, 1000, cast(1.1 as float), 1.11, 12.456, " + "cast('123456789123456789.12345678' as decimal(26, 8)), " - + "cast('hi' as char(10)), 'hello', 'table桌子store商店', " + + "cast('hi' as string), 'hello', 'table桌子store商店', " + "ENCODE('table桌子store商店', 'UTF-8'), " + "DATE '2022-04-28', TIMESTAMP '2022-04-28 15:35:45.123', " + "ARRAY['hi', 'hello', cast(null as string), 'test'], (1, 10, '测试'), " @@ -162,7 +162,7 @@ public void testAllTypesAsValue() throws Exception { + "cast(null as boolean), cast(null as tinyint), cast(null as smallint), " + "cast(null as int), cast(null as bigint), cast(null as float), " + "cast(null as double), cast(null as decimal(5, 3)), cast(null as decimal(26, 8)), " - + "cast(null as char(10)), cast(null as varchar(10)), cast(null as string), " + + "cast(null as string), cast(null as string), cast(null as string), " + "cast(null as bytes), cast(null as date), cast(null as timestamp(3)), " + "cast(null as array), cast(null as row), " + "cast(null as map)" diff --git a/paimon-flink/paimon-flink-cdc/src/test/java/org/apache/paimon/flink/action/cdc/CdcActionITCaseBase.java b/paimon-flink/paimon-flink-cdc/src/test/java/org/apache/paimon/flink/action/cdc/CdcActionITCaseBase.java index 468a3074d61b..e8ac05e03975 100644 --- a/paimon-flink/paimon-flink-cdc/src/test/java/org/apache/paimon/flink/action/cdc/CdcActionITCaseBase.java +++ b/paimon-flink/paimon-flink-cdc/src/test/java/org/apache/paimon/flink/action/cdc/CdcActionITCaseBase.java @@ -151,6 +151,8 @@ protected void waitForResult( if (sortedExpected.equals(sortedActual)) { break; } + LOG.info("actual: " + sortedActual); + LOG.info("expected: " + sortedExpected); Thread.sleep(1000); } } diff --git a/paimon-flink/paimon-flink-cdc/src/test/java/org/apache/paimon/flink/action/cdc/postgres/PostgresSyncTableActionITCase.java b/paimon-flink/paimon-flink-cdc/src/test/java/org/apache/paimon/flink/action/cdc/postgres/PostgresSyncTableActionITCase.java index 1e1524954fd6..b5b36888ebe0 100644 --- a/paimon-flink/paimon-flink-cdc/src/test/java/org/apache/paimon/flink/action/cdc/postgres/PostgresSyncTableActionITCase.java +++ b/paimon-flink/paimon-flink-cdc/src/test/java/org/apache/paimon/flink/action/cdc/postgres/PostgresSyncTableActionITCase.java @@ -326,14 +326,12 @@ private void testAllTypesOnce() throws Exception { .build(); JobClient client = runActionWithDefaultEnv(action); - try (Statement statement = getStatement(DATABASE_NAME)) { - testAllTypesImpl(statement); - } + testAllTypesImpl(); client.cancel().get(); } - private void testAllTypesImpl(Statement statement) throws Exception { + private void testAllTypesImpl() throws Exception { RowType rowType = RowType.of( new DataType[] { @@ -422,7 +420,7 @@ private void testAllTypesImpl(Statement statement) throws Exception { + "19439, " + "2023-03-23T14:30:05, 2023-03-23T00:00, " + "36803000, 36803000, " - + "Paimon, Apache Paimon, Apache Paimon PostgreSQL Test Data, " + + "Paimon , Apache Paimon, Apache Paimon PostgreSQL Test Data, " + "[98, 121, 116, 101, 115], " + "{\"a\": \"b\"}, " + "[\"item1\", \"item2\"]" diff --git a/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/CatalogTableITCase.java b/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/CatalogTableITCase.java index da62348d13d2..a25914a3dda3 100644 --- a/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/CatalogTableITCase.java +++ b/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/CatalogTableITCase.java @@ -602,14 +602,14 @@ private void assertFilesTable(String tableName) { // Get files with latest snapshot List rows1 = sql(String.format("SELECT * FROM %s$files", tableName)); for (Row row : rows1) { - assertThat(StringUtils.endsWith((String) row.getField(2), ".orc")) + assertThat(StringUtils.endsWith((String) row.getField(2), ".parquet")) .isTrue(); // check file name assertThat((long) row.getField(7)).isGreaterThan(0L); // check file size } assertThat(getRowStringList(rows1)) .containsExactlyInAnyOrder( String.format( - "[2],0,orc,4,0,2,%s,{a=0, bb=0, dd=0, f=0, p=0},{a=23, bb=24, dd=25, f=26, p=2},{a=27, bb=28, dd=29, f=30, p=2}", + "[2],0,parquet,4,0,2,%s,{a=0, bb=0, dd=0, f=0, p=0},{a=23, bb=24, dd=25, f=26, p=2},{a=27, bb=28, dd=29, f=30, p=2}", StringUtils.endsWith(tableName, "VALUE_COUNT") // value count table use all fields as min/max key ? "[23, 2, 24, 25, 26],[27, 2, 28, 29, 30]" @@ -619,21 +619,21 @@ private void assertFilesTable(String tableName) { // with key table use primary key trimmed partition : "[23],[27]")), String.format( - "[1],0,orc,0,0,2,%s,{a=0, bb=0, dd=2, f=2, p=0},{a=1, bb=2, dd=null, f=null, p=1},{a=3, bb=4, dd=null, f=null, p=1}", + "[1],0,parquet,0,0,2,%s,{a=0, bb=0, dd=2, f=2, p=0},{a=1, bb=2, dd=null, f=null, p=1},{a=3, bb=4, dd=null, f=null, p=1}", StringUtils.endsWith(tableName, "VALUE_COUNT") ? "[1, 1, 2, S1],[3, 1, 4, S2]" : (StringUtils.endsWith(tableName, "APPEND_ONLY") ? "," : "[1],[3]")), String.format( - "[1],0,orc,1,0,2,%s,{a=0, bb=0, dd=0, f=0, p=0},{a=5, bb=6, dd=7, f=9, p=1},{a=10, bb=11, dd=12, f=14, p=1}", + "[1],0,parquet,1,0,2,%s,{a=0, bb=0, dd=0, f=0, p=0},{a=5, bb=6, dd=7, f=9, p=1},{a=10, bb=11, dd=12, f=14, p=1}", StringUtils.endsWith(tableName, "VALUE_COUNT") ? "[5, 1, 6, S3, 7, 8, 9],[10, 1, 11, S4, 12, 13, 14]" : (StringUtils.endsWith(tableName, "APPEND_ONLY") ? "," : "[5],[10]")), String.format( - "[1],0,orc,4,0,2,%s,{a=0, bb=0, dd=0, f=0, p=0},{a=15, bb=16, dd=17, f=18, p=1},{a=19, bb=20, dd=21, f=22, p=1}", + "[1],0,parquet,4,0,2,%s,{a=0, bb=0, dd=0, f=0, p=0},{a=15, bb=16, dd=17, f=18, p=1},{a=19, bb=20, dd=21, f=22, p=1}", StringUtils.endsWith(tableName, "VALUE_COUNT") ? "[15, 1, 16, 17, 18],[19, 1, 20, 21, 22]" : (StringUtils.endsWith(tableName, "APPEND_ONLY") @@ -647,21 +647,21 @@ private void assertFilesTable(String tableName) { "SELECT * FROM %s$files /*+ OPTIONS('scan.snapshot-id'='2') */", tableName)); for (Row row : rows2) { - assertThat(StringUtils.endsWith((String) row.getField(2), ".orc")) + assertThat(StringUtils.endsWith((String) row.getField(2), ".parquet")) .isTrue(); // check file name assertThat((long) row.getField(7)).isGreaterThan(0L); // check file size } assertThat(getRowStringList(rows2)) .containsExactlyInAnyOrder( String.format( - "[1],0,orc,0,0,2,%s,{a=0, b=0, c=0, d=2, e=2, f=2, p=0},{a=1, b=2, c=S1, d=null, e=null, f=null, p=1},{a=3, b=4, c=S2, d=null, e=null, f=null, p=1}", + "[1],0,parquet,0,0,2,%s,{a=0, b=0, c=0, d=2, e=2, f=2, p=0},{a=1, b=2, c=S1, d=null, e=null, f=null, p=1},{a=3, b=4, c=S2, d=null, e=null, f=null, p=1}", StringUtils.endsWith(tableName, "VALUE_COUNT") ? "[1, 1, 2, S1],[3, 1, 4, S2]" : (StringUtils.endsWith(tableName, "APPEND_ONLY") ? "," : "[1],[3]")), String.format( - "[1],0,orc,1,0,2,%s,{a=0, b=0, c=0, d=0, e=0, f=0, p=0},{a=5, b=6, c=S3, d=7, e=8, f=9, p=1},{a=10, b=11, c=S4, d=12, e=13, f=14, p=1}", + "[1],0,parquet,1,0,2,%s,{a=0, b=0, c=0, d=0, e=0, f=0, p=0},{a=5, b=6, c=S3, d=7, e=8, f=9, p=1},{a=10, b=11, c=S4, d=12, e=13, f=14, p=1}", StringUtils.endsWith(tableName, "VALUE_COUNT") ? "[5, 1, 6, S3, 7, 8, 9],[10, 1, 11, S4, 12, 13, 14]" : (StringUtils.endsWith(tableName, "APPEND_ONLY") @@ -749,7 +749,9 @@ public void testConsumersTable() throws Exception { iterator.close(); List result = sql("SELECT * FROM T$consumers"); - assertThat(result).containsExactly(Row.of("my1", 3L)); + assertThat(result).hasSize(1); + assertThat(result.get(0).getField(0)).isEqualTo("my1"); + assertThat((Long) result.get(0).getField(1)).isGreaterThanOrEqualTo(3); } @Test diff --git a/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/SchemaChangeITCase.java b/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/SchemaChangeITCase.java index 23776971b8e1..ead4edf16017 100644 --- a/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/SchemaChangeITCase.java +++ b/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/SchemaChangeITCase.java @@ -301,14 +301,14 @@ public void testModifyColumnTypeFromBooleanToString() { sql("CREATE TABLE T (a STRING PRIMARY KEY NOT ENFORCED, b BOOLEAN, c BOOLEAN)"); sql("INSERT INTO T VALUES('paimon', true, false)"); - sql("ALTER TABLE T MODIFY (b CHAR(4), c VARCHAR(6))"); + sql("ALTER TABLE T MODIFY (b STRING, c STRING)"); List result = sql("SHOW CREATE TABLE T"); assertThat(result.toString()) .contains( "CREATE TABLE `PAIMON`.`default`.`T` (\n" + " `a` VARCHAR(2147483647) NOT NULL,\n" - + " `b` CHAR(4),\n" - + " `c` VARCHAR(6),"); + + " `b` VARCHAR(2147483647),\n" + + " `c` VARCHAR(2147483647),"); sql("INSERT INTO T VALUES('apache', '345', '200')"); result = sql("SELECT * FROM T"); assertThat(result.stream().map(Objects::toString).collect(Collectors.toList())) diff --git a/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/action/SortCompactActionForUnawareBucketITCase.java b/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/action/SortCompactActionForUnawareBucketITCase.java index a3b327027d9c..dabb8bb2c990 100644 --- a/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/action/SortCompactActionForUnawareBucketITCase.java +++ b/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/action/SortCompactActionForUnawareBucketITCase.java @@ -139,7 +139,7 @@ public void testOrderResult() throws Exception { .createReader(dataSplit) .forEachRemaining( a -> { - Integer current = a.getInt(2); + int current = a.getShort(2); Assertions.assertThat(current).isGreaterThanOrEqualTo(i.get()); i.set(current); }); diff --git a/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/sink/CommitterOperatorTest.java b/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/sink/CommitterOperatorTest.java index 3f1281abc45a..b2764fc37c6e 100644 --- a/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/sink/CommitterOperatorTest.java +++ b/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/sink/CommitterOperatorTest.java @@ -565,7 +565,7 @@ public void testCalcDataBytesSend() throws Exception { table, commit, Committer.createContext("", metricGroup, true, false, null)); committer.commit(Collections.singletonList(manifestCommittable)); CommitterMetrics metrics = committer.getCommitterMetrics(); - assertThat(metrics.getNumBytesOutCounter().getCount()).isEqualTo(293); + assertThat(metrics.getNumBytesOutCounter().getCount()).isEqualTo(529); assertThat(metrics.getNumRecordsOutCounter().getCount()).isEqualTo(2); committer.close(); } diff --git a/paimon-format/src/test/java/org/apache/paimon/format/parquet/ParquetFormatReadWriteTest.java b/paimon-format/src/test/java/org/apache/paimon/format/parquet/ParquetFormatReadWriteTest.java index f6f7a2f7688f..4cfcffe220f8 100644 --- a/paimon-format/src/test/java/org/apache/paimon/format/parquet/ParquetFormatReadWriteTest.java +++ b/paimon-format/src/test/java/org/apache/paimon/format/parquet/ParquetFormatReadWriteTest.java @@ -30,11 +30,6 @@ protected ParquetFormatReadWriteTest() { super("parquet"); } - @Override - protected boolean supportNestedNested() { - return false; - } - @Override protected FileFormat fileFormat() { return new ParquetFileFormat(new FileFormatFactory.FormatContext(new Options(), 1024)); From ae5261e9dac6542b2bc1800ef6dc3c8673da33ab Mon Sep 17 00:00:00 2001 From: Jingsong Date: Wed, 3 Jul 2024 19:48:22 +0800 Subject: [PATCH 18/41] [doc] Adjust default format to parquet --- docs/content/concepts/basic-concepts.md | 2 +- docs/content/maintenance/write-performance.md | 2 +- docs/content/project/roadmap.md | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/content/concepts/basic-concepts.md b/docs/content/concepts/basic-concepts.md index 3213ca429a6f..8523d29f3f03 100644 --- a/docs/content/concepts/basic-concepts.md +++ b/docs/content/concepts/basic-concepts.md @@ -54,7 +54,7 @@ A manifest file is a file containing changes about LSM data files and changelog ## Data Files -Data files are grouped by partitions. Currently, Paimon supports using orc (default), parquet and avro as data file's format. +Data files are grouped by partitions. Currently, Paimon supports using parquet (default), orc and avro as data file's format. ## Partition diff --git a/docs/content/maintenance/write-performance.md b/docs/content/maintenance/write-performance.md index eabd1ce82911..329e2d20488b 100644 --- a/docs/content/maintenance/write-performance.md +++ b/docs/content/maintenance/write-performance.md @@ -239,7 +239,7 @@ There are three main places in Paimon writer that takes up memory: * Writer's memory buffer, shared and preempted by all writers of a single task. This memory value can be adjusted by the `write-buffer-size` table property. * Memory consumed when merging several sorted runs for compaction. Can be adjusted by the `num-sorted-run.compaction-trigger` option to change the number of sorted runs to be merged. * If the row is very large, reading too many lines of data at once will consume a lot of memory when making a compaction. Reducing the `read.batch-size` option can alleviate the impact of this case. -* The memory consumed by writing columnar (ORC, Parquet, etc.) file. Decreasing the `orc.write.batch-size` option can reduce the consumption of memory for ORC format. +* The memory consumed by writing columnar ORC file. Decreasing the `orc.write.batch-size` option can reduce the consumption of memory for ORC format. * If files are automatically compaction in the write task, dictionaries for certain large columns can significantly consume memory during compaction. * To disable dictionary encoding for all fields in Parquet format, set `'parquet.enable.dictionary'= 'false'`. * To disable dictionary encoding for all fields in ORC format, set `orc.dictionary.key.threshold='0'`. Additionally,set `orc.column.encoding.direct='field1,field2'` to disable dictionary encoding for specific columns. diff --git a/docs/content/project/roadmap.md b/docs/content/project/roadmap.md index b0418decb019..2f6b63af00a1 100644 --- a/docs/content/project/roadmap.md +++ b/docs/content/project/roadmap.md @@ -28,7 +28,7 @@ under the License. ## Native Format IO -Integrate native ORC & Parquet reader & writer. +Integrate native Parquet & ORC reader & writer. ## Deletion Vectors (Merge On Write) From c5720b5dfd97835d66793ab459fafc6690275032 Mon Sep 17 00:00:00 2001 From: Zouxxyy Date: Wed, 3 Jul 2024 19:52:03 +0800 Subject: [PATCH 19/41] [core] Fix skippedTableFiles in scan metrics (#3657) --- .../operation/AbstractFileStoreScan.java | 30 ++++----- .../paimon/spark/PaimonSparkTestBase.scala | 12 +++- .../paimon/spark/sql/PaimonMetricTest.scala | 66 +++++++++++++++++++ .../sql/PaimonOptimizationTestBase.scala | 10 --- 4 files changed, 88 insertions(+), 30 deletions(-) create mode 100644 paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/sql/PaimonMetricTest.scala diff --git a/paimon-core/src/main/java/org/apache/paimon/operation/AbstractFileStoreScan.java b/paimon-core/src/main/java/org/apache/paimon/operation/AbstractFileStoreScan.java index 32b87e406cb4..5e6f914fe4c6 100644 --- a/paimon-core/src/main/java/org/apache/paimon/operation/AbstractFileStoreScan.java +++ b/paimon-core/src/main/java/org/apache/paimon/operation/AbstractFileStoreScan.java @@ -56,7 +56,6 @@ import java.util.concurrent.ConcurrentMap; import java.util.concurrent.ForkJoinPool; import java.util.concurrent.ForkJoinTask; -import java.util.concurrent.atomic.AtomicLong; import java.util.function.Function; import java.util.stream.Collectors; import java.util.stream.Stream; @@ -254,8 +253,7 @@ public List files() { public List readSimpleEntries() { List manifests = readManifests().getRight(); Collection mergedEntries = - readAndMergeFileEntries( - manifests, this::readSimpleEntries, Filter.alwaysTrue(), new AtomicLong()); + readAndMergeFileEntries(manifests, this::readSimpleEntries, Filter.alwaysTrue()); return new ArrayList<>(mergedEntries); } @@ -291,19 +289,14 @@ private Pair> doPlan() { List manifests = snapshotListPair.getRight(); long startDataFiles = - manifests.stream().mapToLong(f -> f.numAddedFiles() + f.numDeletedFiles()).sum(); - - AtomicLong cntEntries = new AtomicLong(0); + manifests.stream().mapToLong(f -> f.numAddedFiles() - f.numDeletedFiles()).sum(); Collection mergedEntries = readAndMergeFileEntries( - manifests, - this::readManifestFileMeta, - this::filterUnmergedManifestEntry, - cntEntries); + manifests, this::readManifestFileMeta, this::filterUnmergedManifestEntry); List files = new ArrayList<>(); - long skippedByPartitionAndStats = startDataFiles - cntEntries.get(); + long skippedByPartitionAndStats = startDataFiles - mergedEntries.size(); for (ManifestEntry file : mergedEntries) { if (checkNumOfBuckets && file.totalBuckets() != numOfBuckets) { String partInfo = @@ -355,6 +348,12 @@ private Pair> doPlan() { long skippedByWholeBucketFiles = afterBucketFilter - files.size(); long scanDuration = (System.nanoTime() - started) / 1_000_000; + checkState( + startDataFiles + - skippedByPartitionAndStats + - skippedByBucketAndLevelFilter + - skippedByWholeBucketFiles + == files.size()); if (scanMetrics != null) { scanMetrics.reportScan( new ScanStats( @@ -371,8 +370,7 @@ private Pair> doPlan() { public Collection readAndMergeFileEntries( List manifests, Function> manifestReader, - @Nullable Filter filterUnmergedEntry, - @Nullable AtomicLong readEntries) { + @Nullable Filter filterUnmergedEntry) { Iterable entries = ScanParallelExecutor.parallelismBatchIterable( files -> { @@ -383,11 +381,7 @@ public Collection readAndMergeFileEntries( if (filterUnmergedEntry != null) { stream = stream.filter(filterUnmergedEntry::test); } - List entryList = stream.collect(Collectors.toList()); - if (readEntries != null) { - readEntries.getAndAdd(entryList.size()); - } - return entryList; + return stream.collect(Collectors.toList()); }, manifests, scanManifestParallelism); diff --git a/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/PaimonSparkTestBase.scala b/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/PaimonSparkTestBase.scala index 814001bc9222..d431a754d483 100644 --- a/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/PaimonSparkTestBase.scala +++ b/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/PaimonSparkTestBase.scala @@ -30,7 +30,7 @@ import org.apache.spark.paimon.Utils import org.apache.spark.sql.QueryTest import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan import org.apache.spark.sql.connector.catalog.{Identifier => SparkIdentifier} -import org.apache.spark.sql.execution.datasources.v2.DataSourceV2Relation +import org.apache.spark.sql.execution.datasources.v2.{DataSourceV2Relation, DataSourceV2ScanRelation} import org.apache.spark.sql.test.SharedSparkSession import org.scalactic.source.Position import org.scalatest.Tag @@ -120,11 +120,19 @@ class PaimonSparkTestBase } protected def createRelationV2(tableName: String): LogicalPlan = { - val sparkTable = new SparkTable(loadTable(tableName)) + val sparkTable = SparkTable(loadTable(tableName)) DataSourceV2Relation.create( sparkTable, Some(spark.sessionState.catalogManager.currentCatalog), Some(SparkIdentifier.of(Array(this.dbName0), tableName)) ) } + + protected def getPaimonScan(sqlText: String): PaimonScan = { + sql(sqlText).queryExecution.optimizedPlan + .collectFirst { case relation: DataSourceV2ScanRelation => relation } + .get + .scan + .asInstanceOf[PaimonScan] + } } diff --git a/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/sql/PaimonMetricTest.scala b/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/sql/PaimonMetricTest.scala new file mode 100644 index 000000000000..99ba335a7fd9 --- /dev/null +++ b/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/sql/PaimonMetricTest.scala @@ -0,0 +1,66 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.paimon.spark.sql + +import org.apache.paimon.spark.PaimonMetrics.{RESULTED_TABLE_FILES, SKIPPED_TABLE_FILES} +import org.apache.paimon.spark.PaimonSparkTestBase + +import org.apache.spark.sql.connector.metric.CustomTaskMetric +import org.junit.jupiter.api.Assertions + +class PaimonMetricTest extends PaimonSparkTestBase { + + test(s"Paimon Metric: scan driver metric") { + // Spark support reportDriverMetrics since Spark 3.4 + if (gteqSpark3_4) { + sql(s""" + |CREATE TABLE T (id INT, name STRING, pt STRING) + |TBLPROPERTIES ('bucket'='1', 'bucket-key'='id', 'write-only'='true') + |PARTITIONED BY (pt) + |""".stripMargin) + + sql(s"INSERT INTO T VALUES (1, 'a', 'p1'), (2, 'b', 'p2')") + sql(s"INSERT INTO T VALUES (3, 'c', 'p2'), (4, 'c', 'p3')") + sql(s"INSERT INTO T VALUES (5, 'd', 'p2')") + + def checkMetrics(s: String, skippedTableFiles: Long, resultedTableFiles: Long): Unit = { + val scan = getPaimonScan(s) + // call getInputPartitions to trigger scan + scan.getInputPartitions + val metrics = scan.reportDriverMetrics() + Assertions.assertEquals(skippedTableFiles, metric(metrics, SKIPPED_TABLE_FILES)) + Assertions.assertEquals(resultedTableFiles, metric(metrics, RESULTED_TABLE_FILES)) + } + + checkMetrics(s"SELECT * FROM T", 0, 5) + checkMetrics(s"SELECT * FROM T WHERE pt = 'p2'", 2, 3) + + sql(s"DELETE FROM T WHERE pt = 'p1'") + checkMetrics(s"SELECT * FROM T", 0, 4) + + sql("CALL sys.compact(table => 'T', partitions => 'pt=\"p2\"')") + checkMetrics(s"SELECT * FROM T", 0, 2) + checkMetrics(s"SELECT * FROM T WHERE pt = 'p2'", 1, 1) + } + } + + def metric(metrics: Array[CustomTaskMetric], name: String): Long = { + metrics.find(_.name() == name).get.value() + } +} diff --git a/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/sql/PaimonOptimizationTestBase.scala b/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/sql/PaimonOptimizationTestBase.scala index 9ab5551dd362..70cb4b0c422d 100644 --- a/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/sql/PaimonOptimizationTestBase.scala +++ b/paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/sql/PaimonOptimizationTestBase.scala @@ -26,7 +26,6 @@ import org.apache.spark.sql.Row import org.apache.spark.sql.catalyst.expressions.{Attribute, CreateNamedStruct, Literal, NamedExpression} import org.apache.spark.sql.catalyst.plans.logical.{CTERelationDef, LogicalPlan, OneRowRelation, WithCTE} import org.apache.spark.sql.catalyst.rules.RuleExecutor -import org.apache.spark.sql.execution.datasources.v2.DataSourceV2ScanRelation import org.apache.spark.sql.functions._ import org.junit.jupiter.api.Assertions @@ -101,15 +100,6 @@ abstract class PaimonOptimizationTestBase extends PaimonSparkTestBase { spark.sql(s"INSERT INTO T VALUES (1, 'a', 'p1'), (2, 'b', 'p1'), (3, 'c', 'p2')") val sqlText = "SELECT * FROM T WHERE id = 1 AND pt = 'p1' LIMIT 1" - def getPaimonScan(sqlText: String) = { - spark - .sql(sqlText) - .queryExecution - .optimizedPlan - .collectFirst { case relation: DataSourceV2ScanRelation => relation } - .get - .scan - } Assertions.assertEquals(getPaimonScan(sqlText), getPaimonScan(sqlText)) } } From ff68a10c08db00eb4262b6ece49561ec8326ecbc Mon Sep 17 00:00:00 2001 From: Zouxxyy Date: Thu, 4 Jul 2024 10:07:52 +0800 Subject: [PATCH 20/41] [doc] Update spark procedure and dynamic overwrite docs (#3668) --- docs/content/spark/procedures.md | 13 ++++--- docs/content/spark/sql-query.md | 5 --- docs/content/spark/sql-write.md | 58 +++++++++++++++++--------------- 3 files changed, 36 insertions(+), 40 deletions(-) diff --git a/docs/content/spark/procedures.md b/docs/content/spark/procedures.md index 472dba56963b..fdd41e077420 100644 --- a/docs/content/spark/procedures.md +++ b/docs/content/spark/procedures.md @@ -187,19 +187,18 @@ This section introduce all available spark procedures about paimon. reset_consumer - - -- reset the new next snapshot id in the consumer
        - CALL sys.reset_consumer('identifier', 'consumerId', nextSnapshotId)

        - -- delete consumer
        - CALL sys.reset_consumer(table => 'identifier', consumerId => 'consumerId') - To reset or delete consumer. Arguments:
      14. identifier: the target table identifier. Cannot be empty.
      15. consumerId: consumer to be reset or deleted.
      16. nextSnapshotId (Long): the new next snapshot id of the consumer.
      17. - CALL sys.reset_consumer(table => 'default.T', consumerId => 'myid', nextSnapshotId=> 10) + + -- reset the new next snapshot id in the consumer
        + CALL sys.reset_consumer(table => 'default.T', consumerId => 'myid', nextSnapshotId => 10)

        + -- delete consumer
        + CALL sys.reset_consumer(table => 'default.T', consumerId => 'myid') + diff --git a/docs/content/spark/sql-query.md b/docs/content/spark/sql-query.md index 56f1e5370115..3543355bccb2 100644 --- a/docs/content/spark/sql-query.md +++ b/docs/content/spark/sql-query.md @@ -78,11 +78,6 @@ You can also force specifying `'incremental-between-scan-mode'`. Requires Spark 3.2+. Paimon supports that use Spark SQL to do the incremental query that implemented by Spark Table Valued Function. -To enable this needs these configs below: - -```text ---conf spark.sql.extensions=org.apache.paimon.spark.extensions.PaimonSparkSessionExtensions -``` you can use `paimon_incremental_query` in query to extract the incremental data: diff --git a/docs/content/spark/sql-write.md b/docs/content/spark/sql-write.md index 52795ab81618..ed9698cdf047 100644 --- a/docs/content/spark/sql-write.md +++ b/docs/content/spark/sql-write.md @@ -62,25 +62,39 @@ INSERT OVERWRITE my_table PARTITION (key1 = value1, key2 = value2, ...) SELECT . ### Dynamic Overwrite -Spark's default overwrite mode is static partition overwrite. To enable dynamic overwritten needs these configs below: +Spark's default overwrite mode is `static` partition overwrite. To enable dynamic overwritten you need to set the Spark session configuration `spark.sql.sources.partitionOverwriteMode` to `dynamic` -```text ---conf spark.sql.extensions=org.apache.paimon.spark.extensions.PaimonSparkSessionExtensions -``` - -Note : If `spark.sql.sources.partitionOverwriteMode` is set to `dynamic` by default in Spark, -in order to ensure that the insert overwrite function of the Paimon table can be used normally, -`spark.sql.extensions` should be set to `org.apache.paimon.spark.extensions.PaimonSparkSessionExtensions`. +For example: ```sql --- MyTable is a Partitioned Table - --- Static overwrite (Overwrite whole table) -INSERT OVERWRITE my_table SELECT ... - --- Dynamic overwrite - SET spark.sql.sources.partitionOverwriteMode=dynamic; -INSERT OVERWRITE my_table SELECT ... +CREATE TABLE my_table (id INT, pt STRING) PARTITIONED BY (pt); +INSERT INTO my_table VALUES (1, 'p1'), (2, 'p2'); + +-- Static overwrite (Overwrite the whole table) +INSERT OVERWRITE my_table VALUES (3, 'p1'); + +SELECT * FROM my_table; +/* ++---+---+ +| id| pt| ++---+---+ +| 3| p1| ++---+---+ +*/ + +-- Dynamic overwrite (Only overwrite pt='p1') +SET spark.sql.sources.partitionOverwriteMode=dynamic; +INSERT OVERWRITE my_table VALUES (3, 'p1'); + +SELECT * FROM my_table; +/* ++---+---+ +| id| pt| ++---+---+ +| 2| p2| +| 3| p1| ++---+---+ +*/ ``` ## Truncate tables @@ -91,12 +105,6 @@ TRUNCATE TABLE my_table; ## Updating tables -To enable update needs these configs below: - -```text ---conf spark.sql.extensions=org.apache.paimon.spark.extensions.PaimonSparkSessionExtensions -``` - spark supports update PrimitiveType and StructType, for example: ```sql @@ -119,12 +127,6 @@ UPDATE t SET s.c2 = 'a_new' WHERE s.c1 = 1; ## Deleting from table -To enable delete needs these configs below: - -```text ---conf spark.sql.extensions=org.apache.paimon.spark.extensions.PaimonSparkSessionExtensions -``` - ```sql DELETE FROM my_table WHERE currency = 'UNKNOWN'; ``` From 3122b7bbc114f9a65c5fc30cbae2184df832a6cd Mon Sep 17 00:00:00 2001 From: askwang <135721692+askwang@users.noreply.github.com> Date: Thu, 4 Jul 2024 10:08:28 +0800 Subject: [PATCH 21/41] [spark] exclude parquet-column and parquet-hadoop dependency (#3669) --- paimon-spark/paimon-spark-3.1/pom.xml | 16 ++++++++++++++++ paimon-spark/paimon-spark-3.2/pom.xml | 16 ++++++++++++++++ paimon-spark/paimon-spark-3.3/pom.xml | 16 ++++++++++++++++ paimon-spark/paimon-spark-3.4/pom.xml | 16 ++++++++++++++++ paimon-spark/paimon-spark-3.5/pom.xml | 8 ++++++++ paimon-spark/paimon-spark-common/pom.xml | 8 ++++++++ 6 files changed, 80 insertions(+) diff --git a/paimon-spark/paimon-spark-3.1/pom.xml b/paimon-spark/paimon-spark-3.1/pom.xml index 011626210f02..ba1f1d27e2a3 100644 --- a/paimon-spark/paimon-spark-3.1/pom.xml +++ b/paimon-spark/paimon-spark-3.1/pom.xml @@ -80,6 +80,14 @@ under the License. org.apache.orc orc-core + + org.apache.parquet + parquet-column + + + org.apache.parquet + parquet-hadoop + @@ -102,6 +110,14 @@ under the License. org.apache.orc orc-core + + org.apache.parquet + parquet-column + + + org.apache.parquet + parquet-hadoop + diff --git a/paimon-spark/paimon-spark-3.2/pom.xml b/paimon-spark/paimon-spark-3.2/pom.xml index c27075665da1..07db172eff39 100644 --- a/paimon-spark/paimon-spark-3.2/pom.xml +++ b/paimon-spark/paimon-spark-3.2/pom.xml @@ -84,6 +84,14 @@ under the License. org.apache.orc orc-mapreduce + + org.apache.parquet + parquet-column + + + org.apache.parquet + parquet-hadoop + @@ -113,6 +121,14 @@ under the License. org.apache.orc orc-core + + org.apache.parquet + parquet-column + + + org.apache.parquet + parquet-hadoop + diff --git a/paimon-spark/paimon-spark-3.3/pom.xml b/paimon-spark/paimon-spark-3.3/pom.xml index 446b7a86ad8a..1405bea615c9 100644 --- a/paimon-spark/paimon-spark-3.3/pom.xml +++ b/paimon-spark/paimon-spark-3.3/pom.xml @@ -80,6 +80,14 @@ under the License. org.apache.orc orc-core + + org.apache.parquet + parquet-column + + + org.apache.parquet + parquet-hadoop + @@ -109,6 +117,14 @@ under the License. org.apache.orc orc-core + + org.apache.parquet + parquet-column + + + org.apache.parquet + parquet-hadoop + diff --git a/paimon-spark/paimon-spark-3.4/pom.xml b/paimon-spark/paimon-spark-3.4/pom.xml index c244755eff4b..93ce4470517a 100644 --- a/paimon-spark/paimon-spark-3.4/pom.xml +++ b/paimon-spark/paimon-spark-3.4/pom.xml @@ -80,6 +80,14 @@ under the License. org.apache.orc orc-core + + org.apache.parquet + parquet-column + + + org.apache.parquet + parquet-hadoop + @@ -109,6 +117,14 @@ under the License. org.apache.orc orc-core + + org.apache.parquet + parquet-column + + + org.apache.parquet + parquet-hadoop + diff --git a/paimon-spark/paimon-spark-3.5/pom.xml b/paimon-spark/paimon-spark-3.5/pom.xml index 30b158854c4a..d37f1f10feb1 100644 --- a/paimon-spark/paimon-spark-3.5/pom.xml +++ b/paimon-spark/paimon-spark-3.5/pom.xml @@ -80,6 +80,10 @@ under the License. org.apache.orc orc-core + + org.apache.parquet + parquet-column + @@ -109,6 +113,10 @@ under the License. org.apache.orc orc-core + + org.apache.parquet + parquet-column + diff --git a/paimon-spark/paimon-spark-common/pom.xml b/paimon-spark/paimon-spark-common/pom.xml index 3ea439f61ec3..f08d86467095 100644 --- a/paimon-spark/paimon-spark-common/pom.xml +++ b/paimon-spark/paimon-spark-common/pom.xml @@ -87,6 +87,10 @@ under the License. org.apache.orc orc-mapreduce + + org.apache.parquet + parquet-column + @@ -134,6 +138,10 @@ under the License. org.apache.orc orc-core + + org.apache.parquet + parquet-column + From 2c662087865291ebbd5bf334f8c65f164be5820e Mon Sep 17 00:00:00 2001 From: Jingsong Date: Thu, 4 Jul 2024 10:23:02 +0800 Subject: [PATCH 22/41] [test] Fix unstable AppendOnlyTableITCase.testDynamicOptions --- .../java/org/apache/paimon/flink/AppendOnlyTableITCase.java | 3 +++ 1 file changed, 3 insertions(+) diff --git a/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/AppendOnlyTableITCase.java b/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/AppendOnlyTableITCase.java index 11f5b2313d62..9a5b9d901448 100644 --- a/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/AppendOnlyTableITCase.java +++ b/paimon-flink/paimon-flink-common/src/test/java/org/apache/paimon/flink/AppendOnlyTableITCase.java @@ -254,6 +254,9 @@ public void testDynamicOptions() throws Exception { CoreOptions.StartupMode.LATEST.toString()); BlockingIterator iterator = streamSqlBlockIter("SELECT * FROM T"); + // wait streaming job start + Thread.sleep(2000); + sql("INSERT INTO T VALUES (2)"); // Only fetch latest snapshot is, dynamic option worked assertThat(iterator.collect(1)).containsExactlyInAnyOrder(Row.of(2)); From 2acb511e9f888cf343ce8f2c367dd4ec8355091a Mon Sep 17 00:00:00 2001 From: yuzelin <33053040+yuzelin@users.noreply.github.com> Date: Thu, 4 Jul 2024 11:08:21 +0800 Subject: [PATCH 23/41] [cdc] Database sync initializes the set of existed tables (#3621) --- .../flink/action/cdc/SyncDatabaseActionBase.java | 16 ++++++++++++++-- .../cdc/RichCdcMultiplexRecordEventParser.java | 9 ++++++--- 2 files changed, 20 insertions(+), 5 deletions(-) diff --git a/paimon-flink/paimon-flink-cdc/src/main/java/org/apache/paimon/flink/action/cdc/SyncDatabaseActionBase.java b/paimon-flink/paimon-flink-cdc/src/main/java/org/apache/paimon/flink/action/cdc/SyncDatabaseActionBase.java index f77bec044572..bddebd229eaa 100644 --- a/paimon-flink/paimon-flink-cdc/src/main/java/org/apache/paimon/flink/action/cdc/SyncDatabaseActionBase.java +++ b/paimon-flink/paimon-flink-cdc/src/main/java/org/apache/paimon/flink/action/cdc/SyncDatabaseActionBase.java @@ -19,6 +19,7 @@ package org.apache.paimon.flink.action.cdc; import org.apache.paimon.catalog.AbstractCatalog; +import org.apache.paimon.catalog.Catalog; import org.apache.paimon.flink.action.Action; import org.apache.paimon.flink.action.MultiTablesSinkMode; import org.apache.paimon.flink.sink.cdc.EventParser; @@ -36,8 +37,10 @@ import java.util.ArrayList; import java.util.Arrays; import java.util.Collections; +import java.util.HashSet; import java.util.List; import java.util.Map; +import java.util.Set; import java.util.regex.Pattern; import static org.apache.paimon.flink.action.MultiTablesSinkMode.COMBINED; @@ -138,10 +141,19 @@ protected EventParser.Factory buildEventParserFactory() excludingTables == null ? null : Pattern.compile(excludingTables); TableNameConverter tableNameConverter = new TableNameConverter(caseSensitive, mergeShards, tablePrefix, tableSuffix); - + Set createdTables; + try { + createdTables = new HashSet<>(catalog.listTables(database)); + } catch (Catalog.DatabaseNotExistException e) { + throw new RuntimeException(e); + } return () -> new RichCdcMultiplexRecordEventParser( - schemaBuilder, includingPattern, excludingPattern, tableNameConverter); + schemaBuilder, + includingPattern, + excludingPattern, + tableNameConverter, + createdTables); } @Override diff --git a/paimon-flink/paimon-flink-cdc/src/main/java/org/apache/paimon/flink/sink/cdc/RichCdcMultiplexRecordEventParser.java b/paimon-flink/paimon-flink-cdc/src/main/java/org/apache/paimon/flink/sink/cdc/RichCdcMultiplexRecordEventParser.java index d0298e2b9041..939410bf46ce 100644 --- a/paimon-flink/paimon-flink-cdc/src/main/java/org/apache/paimon/flink/sink/cdc/RichCdcMultiplexRecordEventParser.java +++ b/paimon-flink/paimon-flink-cdc/src/main/java/org/apache/paimon/flink/sink/cdc/RichCdcMultiplexRecordEventParser.java @@ -49,10 +49,11 @@ public class RichCdcMultiplexRecordEventParser implements EventParser createdTables; + private final Map parsers = new HashMap<>(); private final Set includedTables = new HashSet<>(); private final Set excludedTables = new HashSet<>(); - private final Set createdTables = new HashSet<>(); private RichCdcMultiplexRecord record; private String currentTable; @@ -60,18 +61,20 @@ public class RichCdcMultiplexRecordEventParser implements EventParser()); } public RichCdcMultiplexRecordEventParser( @Nullable NewTableSchemaBuilder schemaBuilder, @Nullable Pattern includingPattern, @Nullable Pattern excludingPattern, - TableNameConverter tableNameConverter) { + TableNameConverter tableNameConverter, + Set createdTables) { this.schemaBuilder = schemaBuilder; this.includingPattern = includingPattern; this.excludingPattern = excludingPattern; this.tableNameConverter = tableNameConverter; + this.createdTables = createdTables; } @Override From 3529f87942e21a5c4d1be207c688dc7244e77898 Mon Sep 17 00:00:00 2001 From: Jingsong Date: Thu, 4 Jul 2024 18:00:14 +0800 Subject: [PATCH 24/41] [doc] Document default mode is dynamic bucket --- docs/content/primary-key-table/data-distribution.md | 13 +++++-------- 1 file changed, 5 insertions(+), 8 deletions(-) diff --git a/docs/content/primary-key-table/data-distribution.md b/docs/content/primary-key-table/data-distribution.md index dd4150c62b71..3a066031d4f4 100644 --- a/docs/content/primary-key-table/data-distribution.md +++ b/docs/content/primary-key-table/data-distribution.md @@ -26,11 +26,6 @@ under the License. # Data Distribution -{{< hint info >}} -By default, Paimon table only has one bucket, which means it only provides single parallelism read and write. -Please configure the bucket strategy to your table. -{{< /hint >}} - A bucket is the smallest storage unit for reads and writes, each bucket directory contains an [LSM tree]({{< ref "primary-key-table/overview#lsm-trees" >}}). ## Fixed Bucket @@ -43,9 +38,11 @@ A too large number of buckets leads to too many small files, and a too small num ## Dynamic Bucket -Configure `'bucket' = '-1'`. The keys that arrive first will fall into the old buckets, and the new keys will fall into -the new buckets, the distribution of buckets and keys depends on the order in which the data arrives. Paimon maintains -an index to determine which key corresponds to which bucket. +Default mode for primary key table, or configure `'bucket' = '-1'`. + +The keys that arrive first will fall into the old buckets, and the new keys will fall into the new buckets, the +distribution of buckets and keys depends on the order in which the data arrives. Paimon maintains an index to determine +which key corresponds to which bucket. Paimon will automatically expand the number of buckets. From 82ec1205e526170837bea376290c4f1b9b0b8287 Mon Sep 17 00:00:00 2001 From: Jingsong Date: Tue, 2 Jul 2024 10:26:14 +0800 Subject: [PATCH 25/41] [doc] Introduce compaction doc for primary key table --- docs/content/maintenance/write-performance.md | 103 ----------- docs/content/primary-key-table/compaction.md | 168 ++++++++++++++++++ docs/content/primary-key-table/overview.md | 18 -- docs/content/primary-key-table/table-mode.md | 2 +- 4 files changed, 169 insertions(+), 122 deletions(-) create mode 100644 docs/content/primary-key-table/compaction.md diff --git a/docs/content/maintenance/write-performance.md b/docs/content/maintenance/write-performance.md index 329e2d20488b..6b3b0f09e43f 100644 --- a/docs/content/maintenance/write-performance.md +++ b/docs/content/maintenance/write-performance.md @@ -68,109 +68,6 @@ It is recommended that the parallelism of sink should be less than or equal to t -## Compaction - -### Asynchronous Compaction - -Compaction is inherently asynchronous, but if you want it to be completely asynchronous and not blocking writing, -expect a mode to have maximum writing throughput, the compaction can be done slowly and not in a hurry. -You can use the following strategies for your table: - -```shell -num-sorted-run.stop-trigger = 2147483647 -sort-spill-threshold = 10 -changelog-producer.lookup-wait = false -``` - -This configuration will generate more files during peak write periods and gradually merge into optimal read -performance during low write periods. - -In the case of `'changelog-producer' = 'lookup'`, by default, the lookup will be completed at checkpointing, which -will block the checkpoint. So if you want an asynchronous lookup, you should also set `'changelog-producer.lookup-wait' = 'false'`. - -### Number of Sorted Runs to Pause Writing - -When the number of sorted runs is small, Paimon writers will perform compaction asynchronously in separated threads, so -records can be continuously written into the table. However, to avoid unbounded growth of sorted runs, writers will -pause writing when the number of sorted runs hits the threshold. The following table property determines -the threshold. - - - - - - - - - - - - - - - - - - - - -
        OptionRequiredDefaultTypeDescription
        num-sorted-run.stop-trigger
        No(none)IntegerThe number of sorted runs that trigger the stopping of writes, the default value is 'num-sorted-run.compaction-trigger' + 3.
        - -Write stalls will become less frequent when `num-sorted-run.stop-trigger` becomes larger, thus improving writing -performance. However, if this value becomes too large, more memory and CPU time will be needed when querying the -table. If you are concerned about the OOM problem, please configure the following option. -Its value depends on your memory size. - - - - - - - - - - - - - - - - - - - - -
        OptionRequiredDefaultTypeDescription
        sort-spill-threshold
        No(none)IntegerIf the maximum number of sort readers exceeds this value, a spill will be attempted. This prevents too many readers from consuming too much memory and causing OOM.
        - -### Number of Sorted Runs to Trigger Compaction - -Paimon uses [LSM tree]({{< ref "primary-key-table/overview#lsm-trees" >}}) which supports a large number of updates. LSM organizes files in several [sorted runs]({{< ref "primary-key-table/overview#sorted-runs" >}}). When querying records from an LSM tree, all sorted runs must be combined to produce a complete view of all records. - -One can easily see that too many sorted runs will result in poor query performance. To keep the number of sorted runs in a reasonable range, Paimon writers will automatically perform [compactions]({{< ref "primary-key-table/overview#compaction" >}}). The following table property determines the minimum number of sorted runs to trigger a compaction. - - - - - - - - - - - - - - - - - - - - -
        OptionRequiredDefaultTypeDescription
        num-sorted-run.compaction-trigger
        No5IntegerThe sorted run number to trigger compaction. Includes level0 files (one file one sorted run) and high-level runs (one level one sorted run).
        - -Compaction will become less frequent when `num-sorted-run.compaction-trigger` becomes larger, thus improving writing performance. However, if this value becomes too large, more memory and CPU time will be needed when querying the table. This is a trade-off between writing and query performance. - ## Local Merging If your job suffers from primary key data skew diff --git a/docs/content/primary-key-table/compaction.md b/docs/content/primary-key-table/compaction.md new file mode 100644 index 000000000000..c7c866581c96 --- /dev/null +++ b/docs/content/primary-key-table/compaction.md @@ -0,0 +1,168 @@ +--- +title: "Compaction" +weight: 7 +type: docs +aliases: +- /primary-key-table/compaction.html +--- + + +# Compaction + +When more and more records are written into the LSM tree, the number of sorted runs will increase. Because querying an +LSM tree requires all sorted runs to be combined, too many sorted runs will result in a poor query performance, or even +out of memory. + +To limit the number of sorted runs, we have to merge several sorted runs into one big sorted run once in a while. This +procedure is called compaction. + +However, compaction is a resource intensive procedure which consumes a certain amount of CPU time and disk IO, so too +frequent compaction may in turn result in slower writes. It is a trade-off between query and write performance. Paimon +currently adapts a compaction strategy similar to Rocksdb's [universal compaction](https://github.com/facebook/rocksdb/wiki/Universal-Compaction). + +Compaction solves: + +1. Reduce Level 0 files to avoid poor query performance. +2. Produce changelog via [changelog-producer]({{< ref "primary-key-table/changelog-producer" >}}). +3. Produce deletion vectors for [MOW mode]({{< ref "primary-key-table/table-mode#merge-on-write" >}}). +4. Snapshot Expiration, Tag Expiration, Partitions Expiration. + +Limitation: + +- There can only be one job working on the same partition's compaction, otherwise it will cause conflicts and one side will throw an exception failure. + +Writing performance is almost always affected by compaction, so its tuning is crucial. + +## Asynchronous Compaction + +Compaction is inherently asynchronous, but if you want it to be completely asynchronous and not blocking writing, +expect a mode to have maximum writing throughput, the compaction can be done slowly and not in a hurry. +You can use the following strategies for your table: + +```shell +num-sorted-run.stop-trigger = 2147483647 +sort-spill-threshold = 10 +changelog-producer.lookup-wait = false +``` + +This configuration will generate more files during peak write periods and gradually merge into optimal read +performance during low write periods. + +In the case of `'changelog-producer' = 'lookup'`, by default, the lookup will be completed at checkpointing, which +will block the checkpoint. So if you want an asynchronous lookup, you should also set `'changelog-producer.lookup-wait' = 'false'`. + +## Dedicated compaction job + +In general, if you expect multiple jobs to be written to the same table, you need to separate the compaction. You can +use [dedicated compaction job]({{< ref "maintenance/dedicated-compaction#dedicated-compaction-job" >}}). + +## Record-Level expire + +In compaction, you can configure record-Level expire time to expire records, you should configure: + +1. `'record-level.expire-time'`: time retain for records. +2. `'record-level.time-field'`: time field for record level expire, it should be a seconds INT. + +Expiration happens in compaction, and there is no strong guarantee to expire records in time. + +## Compaction Options + +### Number of Sorted Runs to Pause Writing + +When the number of sorted runs is small, Paimon writers will perform compaction asynchronously in separated threads, so +records can be continuously written into the table. However, to avoid unbounded growth of sorted runs, writers will +pause writing when the number of sorted runs hits the threshold. The following table property determines +the threshold. + + + + + + + + + + + + + + + + + + + + +
        OptionRequiredDefaultTypeDescription
        num-sorted-run.stop-trigger
        No(none)IntegerThe number of sorted runs that trigger the stopping of writes, the default value is 'num-sorted-run.compaction-trigger' + 3.
        + +Write stalls will become less frequent when `num-sorted-run.stop-trigger` becomes larger, thus improving writing +performance. However, if this value becomes too large, more memory and CPU time will be needed when querying the +table. If you are concerned about the OOM problem, please configure the following option. +Its value depends on your memory size. + + + + + + + + + + + + + + + + + + + + +
        OptionRequiredDefaultTypeDescription
        sort-spill-threshold
        No(none)IntegerIf the maximum number of sort readers exceeds this value, a spill will be attempted. This prevents too many readers from consuming too much memory and causing OOM.
        + +### Number of Sorted Runs to Trigger Compaction + +Paimon uses [LSM tree]({{< ref "primary-key-table/overview#lsm-trees" >}}) which supports a large number of updates. LSM organizes files in several [sorted runs]({{< ref "primary-key-table/overview#sorted-runs" >}}). When querying records from an LSM tree, all sorted runs must be combined to produce a complete view of all records. + +One can easily see that too many sorted runs will result in poor query performance. To keep the number of sorted runs in a reasonable range, Paimon writers will automatically perform [compactions]({{< ref "primary-key-table/overview#compaction" >}}). The following table property determines the minimum number of sorted runs to trigger a compaction. + + + + + + + + + + + + + + + + + + + + +
        OptionRequiredDefaultTypeDescription
        num-sorted-run.compaction-trigger
        No5IntegerThe sorted run number to trigger compaction. Includes level0 files (one file one sorted run) and high-level runs (one level one sorted run).
        + +Compaction will become less frequent when `num-sorted-run.compaction-trigger` becomes larger, thus improving writing performance. However, if this value becomes too large, more memory and CPU time will be needed when querying the table. This is a trade-off between writing and query performance. diff --git a/docs/content/primary-key-table/overview.md b/docs/content/primary-key-table/overview.md index 13d1098b2cc6..508b990abc59 100644 --- a/docs/content/primary-key-table/overview.md +++ b/docs/content/primary-key-table/overview.md @@ -59,21 +59,3 @@ Records within a data file are sorted by their primary keys. Within a sorted run As you can see, different sorted runs may have overlapping primary key ranges, and may even contain the same primary key. When querying the LSM tree, all sorted runs must be combined and all records with the same primary key must be merged according to the user-specified [merge engine]({{< ref "primary-key-table/merge-engine" >}}) and the timestamp of each record. New records written into the LSM tree will be first buffered in memory. When the memory buffer is full, all records in memory will be sorted and flushed to disk. A new sorted run is now created. - -### Compaction - -When more and more records are written into the LSM tree, the number of sorted runs will increase. Because querying an LSM tree requires all sorted runs to be combined, too many sorted runs will result in a poor query performance, or even out of memory. - -To limit the number of sorted runs, we have to merge several sorted runs into one big sorted run once in a while. This procedure is called compaction. - -However, compaction is a resource intensive procedure which consumes a certain amount of CPU time and disk IO, so too frequent compaction may in turn result in slower writes. It is a trade-off between query and write performance. Paimon currently adapts a compaction strategy similar to Rocksdb's [universal compaction](https://github.com/facebook/rocksdb/wiki/Universal-Compaction). - -By default, when Paimon appends records to the LSM tree, it will also perform compactions as needed. Users can also choose to perform all compactions in a dedicated compaction job. See [dedicated compaction job]({{< ref "maintenance/dedicated-compaction#dedicated-compaction-job" >}}) for more info. - -### Record-Level expire - -In compaction, you can configure record-Level expire time to expire records, you should configure: -1. `'record-level.expire-time'`: time retain for records. -2. `'record-level.time-field'`: time field for record level expire, it should be a seconds INT. - -Expiration happens in compaction, and there is no strong guarantee to expire records in time. diff --git a/docs/content/primary-key-table/table-mode.md b/docs/content/primary-key-table/table-mode.md index 15261cabcf01..a96fe7790d04 100644 --- a/docs/content/primary-key-table/table-mode.md +++ b/docs/content/primary-key-table/table-mode.md @@ -3,7 +3,7 @@ title: "Table Mode" weight: 3 type: docs aliases: -- /primary-key-table/read-optimized.html +- /primary-key-table/table-mode.html ---
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