-
Notifications
You must be signed in to change notification settings - Fork 1k
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
[spark] Dynamically adjust the parallelism of scan (#2482)
- Loading branch information
Showing
5 changed files
with
221 additions
and
6 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
131 changes: 131 additions & 0 deletions
131
paimon-spark/paimon-spark-common/src/main/scala/org/apache/paimon/spark/ScanHelper.scala
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,131 @@ | ||
| /* | ||
| * 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 | ||
|
|
||
| import org.apache.paimon.CoreOptions | ||
| import org.apache.paimon.io.DataFileMeta | ||
| import org.apache.paimon.table.source.{DataSplit, RawFile, Split} | ||
|
|
||
| import org.apache.spark.sql.SparkSession | ||
|
|
||
| import scala.collection.JavaConverters._ | ||
| import scala.collection.mutable.ArrayBuffer | ||
|
|
||
| trait ScanHelper { | ||
|
|
||
| private val spark = SparkSession.active | ||
|
|
||
| val coreOptions: CoreOptions | ||
|
|
||
| private lazy val openCostInBytes: Long = coreOptions.splitOpenFileCost() | ||
|
|
||
| private lazy val leafNodeDefaultParallelism: Int = { | ||
| spark.conf | ||
| .get("spark.sql.leafNodeDefaultParallelism", spark.sparkContext.defaultParallelism.toString) | ||
| .toInt | ||
| } | ||
|
|
||
| def reshuffleSplits(splits: Array[Split]): Array[Split] = { | ||
| if (splits.length < leafNodeDefaultParallelism) { | ||
| val (toReshuffle, reserved) = splits.partition { | ||
| case split: DataSplit => split.beforeFiles().isEmpty && split.convertToRawFiles.isPresent | ||
| case _ => false | ||
| } | ||
| val reshuffled = reshuffleSplits0(toReshuffle.collect { case ds: DataSplit => ds }) | ||
| reshuffled ++ reserved | ||
| } else { | ||
| splits | ||
| } | ||
| } | ||
|
|
||
| private def reshuffleSplits0(splits: Array[DataSplit]): Array[DataSplit] = { | ||
| val maxSplitBytes = computeMaxSplitBytes(splits) | ||
|
|
||
| val newSplits = new ArrayBuffer[DataSplit] | ||
|
|
||
| var currentSplit: Option[DataSplit] = None | ||
| val currentDataFiles = new ArrayBuffer[DataFileMeta] | ||
| val currentRawFiles = new ArrayBuffer[RawFile] | ||
| var currentSize = 0L | ||
|
|
||
| def closeDataSplit(): Unit = { | ||
| if (currentSplit.nonEmpty && currentDataFiles.nonEmpty) { | ||
| val newSplit = copyDataSplit(currentSplit.get, currentDataFiles, currentRawFiles) | ||
| newSplits += newSplit | ||
| } | ||
| currentDataFiles.clear() | ||
| currentRawFiles.clear() | ||
| currentSize = 0 | ||
| } | ||
|
|
||
| splits.foreach { | ||
| split => | ||
| currentSplit = Some(split) | ||
| val hasRawFiles = split.convertToRawFiles().isPresent | ||
|
|
||
| split.dataFiles().asScala.zipWithIndex.foreach { | ||
| case (file, idx) => | ||
| if (currentSize + file.fileSize > maxSplitBytes) { | ||
| closeDataSplit() | ||
| } | ||
| currentSize += file.fileSize + openCostInBytes | ||
| currentDataFiles += file | ||
| if (hasRawFiles) { | ||
| currentRawFiles += split.convertToRawFiles().get().get(idx) | ||
| } | ||
| } | ||
| closeDataSplit() | ||
| } | ||
|
|
||
| newSplits.toArray | ||
| } | ||
|
|
||
| private def unpack(split: Split): Array[DataFileMeta] = { | ||
| split match { | ||
| case ds: DataSplit => | ||
| ds.dataFiles().asScala.toArray | ||
| case _ => Array.empty | ||
| } | ||
| } | ||
|
|
||
| private def copyDataSplit( | ||
| split: DataSplit, | ||
| dataFiles: Seq[DataFileMeta], | ||
| rawFiles: Seq[RawFile]): DataSplit = { | ||
| val builder = DataSplit | ||
| .builder() | ||
| .withSnapshot(split.snapshotId()) | ||
| .withPartition(split.partition()) | ||
| .withBucket(split.bucket()) | ||
| .withDataFiles(dataFiles.toList.asJava) | ||
| .rawFiles(rawFiles.toList.asJava) | ||
| builder.build() | ||
| } | ||
|
|
||
| private def computeMaxSplitBytes(dataSplits: Seq[DataSplit]): Long = { | ||
| val dataFiles = dataSplits.flatMap(unpack) | ||
| val defaultMaxSplitBytes = spark.sessionState.conf.filesMaxPartitionBytes | ||
| val minPartitionNum = spark.sessionState.conf.filesMinPartitionNum | ||
| .getOrElse(leafNodeDefaultParallelism) | ||
| val totalBytes = dataFiles.map(file => file.fileSize + openCostInBytes).sum | ||
| val bytesPerCore = totalBytes / minPartitionNum | ||
|
|
||
| Math.min(defaultMaxSplitBytes, Math.max(openCostInBytes, bytesPerCore)) | ||
| } | ||
|
|
||
| } |
73 changes: 73 additions & 0 deletions
73
paimon-spark/paimon-spark-common/src/test/scala/org/apache/paimon/spark/ScanHelperTest.scala
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,73 @@ | ||
| /* | ||
| * 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 | ||
|
|
||
| import org.apache.paimon.CoreOptions | ||
| import org.apache.paimon.data.BinaryRow | ||
| import org.apache.paimon.io.DataFileMeta | ||
| import org.apache.paimon.table.source.{DataSplit, RawFile, Split} | ||
|
|
||
| import org.junit.jupiter.api.Assertions | ||
|
|
||
| import java.util.HashMap | ||
|
|
||
| import scala.collection.JavaConverters._ | ||
| import scala.collection.mutable | ||
|
|
||
| class ScanHelperTest extends PaimonSparkTestBase { | ||
|
|
||
| test("Paimon: reshuffle splits") { | ||
| withSQLConf(("spark.sql.leafNodeDefaultParallelism", "20")) { | ||
| val splitNum = 5 | ||
| val fileNum = 100 | ||
|
|
||
| val files = scala.collection.mutable.ListBuffer.empty[DataFileMeta] | ||
| val rawFiles = scala.collection.mutable.ListBuffer.empty[RawFile] | ||
| 0.until(fileNum).foreach { | ||
| i => | ||
| val path = s"f$i.parquet" | ||
| files += DataFileMeta.forAppend(path, 750000, 30000, null, 0, 29999, 1) | ||
|
|
||
| rawFiles += new RawFile(s"/a/b/$path", 0, 75000, "parquet", 0, 30000) | ||
| } | ||
|
|
||
| val dataSplits = mutable.ArrayBuffer.empty[Split] | ||
| 0.until(splitNum).foreach { | ||
| i => | ||
| dataSplits += DataSplit | ||
| .builder() | ||
| .withSnapshot(1) | ||
| .withBucket(0) | ||
| .withPartition(new BinaryRow(0)) | ||
| .withDataFiles(files.zipWithIndex.filter(_._2 % splitNum == i).map(_._1).toList.asJava) | ||
| .rawFiles(rawFiles.zipWithIndex.filter(_._2 % splitNum == i).map(_._1).toList.asJava) | ||
| .build() | ||
| } | ||
|
|
||
| val fakeScan = new FakeScan() | ||
| val reshuffled = fakeScan.reshuffleSplits(dataSplits.toArray) | ||
| Assertions.assertTrue(reshuffled.length > 5) | ||
| } | ||
| } | ||
|
|
||
| class FakeScan extends ScanHelper { | ||
| override val coreOptions: CoreOptions = | ||
| CoreOptions.fromMap(new HashMap[String, String]()) | ||
| } | ||
|
|
||
| } |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters