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111 changes: 111 additions & 0 deletions
111
...on-spark-common/src/test/scala/org/apache/paimon/spark/GlobalDynamicBucketTableTest.scala
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| /* | ||
| * 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 | ||
|
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| import org.assertj.core.api.Assertions.assertThat | ||
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| class GlobalDynamicBucketTableTest extends PaimonSparkTestBase { | ||
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| test(s"test global dynamic bucket") { | ||
| spark.sql(s""" | ||
| |CREATE TABLE T ( | ||
| | pt INT, | ||
| | pk INT, | ||
| | v INT) | ||
| |TBLPROPERTIES ( | ||
| | 'primary-key' = 'pk', | ||
| | 'bucket' = '-1', | ||
| | 'dynamic-bucket.target-row-num'='3', | ||
| | 'dynamic-bucket.assigner-parallelism'='1' | ||
| |) | ||
| |PARTITIONED BY (pt) | ||
| |""".stripMargin) | ||
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| spark.sql("INSERT INTO T VALUES (1, 1, 1), (1, 2, 2), (1, 3, 3), (1, 4, 4), (1, 5, 5)") | ||
| val rows1 = spark.sql("SELECT * FROM T ORDER BY pk").collectAsList() | ||
| assertThat(rows1.toString).isEqualTo("[[1,1,1], [1,2,2], [1,3,3], [1,4,4], [1,5,5]]") | ||
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| spark.sql("INSERT INTO T VALUES (1, 3, 33), (1, 1, 11)") | ||
| val rows2 = spark.sql("SELECT * FROM T ORDER BY pk").collectAsList() | ||
| assertThat(rows2.toString).isEqualTo("[[1,1,11], [1,2,2], [1,3,33], [1,4,4], [1,5,5]]") | ||
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| val rows3 = spark.sql("SELECT DISTINCT bucket FROM `T$FILES`").collectAsList() | ||
| assertThat(rows3.toString).isEqualTo("[[0], [1]]") | ||
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| // change partition | ||
| spark.sql("INSERT INTO T VALUES (2, 1, 2), (2, 2, 3)") | ||
| val rows4 = spark.sql("SELECT * FROM T ORDER BY pk").collectAsList() | ||
| assertThat(rows4.toString).isEqualTo("[[2,1,2], [2,2,3], [1,3,33], [1,4,4], [1,5,5]]") | ||
| } | ||
|
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| test(s"test global dynamic bucket with delete") { | ||
| spark.sql(s""" | ||
| |CREATE TABLE T ( | ||
| | pt INT, | ||
| | pk INT, | ||
| | v INT) | ||
| |TBLPROPERTIES ( | ||
| | 'primary-key' = 'pk', | ||
| | 'bucket' = '-1', | ||
| | 'dynamic-bucket.target-row-num'='3' | ||
| |) | ||
| |PARTITIONED BY (pt) | ||
| |""".stripMargin) | ||
|
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| spark.sql("INSERT INTO T VALUES (1, 1, 1), (1, 2, 2), (1, 3, 3), (1, 4, 4), (1, 5, 5)") | ||
| val rows1 = spark.sql("SELECT * FROM T ORDER BY pk").collectAsList() | ||
| assertThat(rows1.toString).isEqualTo("[[1,1,1], [1,2,2], [1,3,3], [1,4,4], [1,5,5]]") | ||
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| spark.sql("DELETE FROM T WHERE pk = 1") | ||
| val rows2 = spark.sql("SELECT * FROM T ORDER BY pk").collectAsList() | ||
| assertThat(rows2.toString).isEqualTo("[[1,2,2], [1,3,3], [1,4,4], [1,5,5]]") | ||
|
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| // change partition | ||
| spark.sql("INSERT INTO T VALUES (2, 1, 2), (2, 2, 3)") | ||
| val rows3 = spark.sql("SELECT * FROM T ORDER BY pk").collectAsList() | ||
| assertThat(rows3.toString).isEqualTo("[[2,1,2], [2,2,3], [1,3,3], [1,4,4], [1,5,5]]") | ||
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| spark.sql("DELETE FROM T WHERE pk = 2") | ||
| val rows4 = spark.sql("SELECT * FROM T ORDER BY pk").collectAsList() | ||
| assertThat(rows4.toString).isEqualTo("[[2,1,2], [1,3,3], [1,4,4], [1,5,5]]") | ||
| } | ||
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| test(s"test write with assigner parallelism") { | ||
| spark.sql(s""" | ||
| |CREATE TABLE T ( | ||
| | pt INT, | ||
| | pk INT, | ||
| | v INT) | ||
| |TBLPROPERTIES ( | ||
| | 'primary-key' = 'pk', | ||
| | 'bucket' = '-1', | ||
| | 'dynamic-bucket.target-row-num'='3', | ||
| | 'dynamic-bucket.assigner-parallelism'='3' | ||
| |) | ||
| |PARTITIONED BY (pt) | ||
| |""".stripMargin) | ||
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| spark.sql("INSERT INTO T VALUES (1, 1, 1), (1, 2, 2), (1, 3, 3), (1, 4, 4), (1, 5, 5)") | ||
| val rows1 = spark.sql("SELECT * FROM T ORDER BY pk").collectAsList() | ||
| assertThat(rows1.toString).isEqualTo("[[1,1,1], [1,2,2], [1,3,3], [1,4,4], [1,5,5]]") | ||
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| val rows3 = spark.sql("SELECT DISTINCT bucket FROM `T$FILES`").collectAsList() | ||
| assertThat(rows3.toString).isEqualTo("[[0], [1], [2]]") | ||
| } | ||
|
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| } |