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[HUDI-1349] spark sql support overwrite use insert_overwrite_table (#2196)

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lw0090
2020-12-04 04:26:21 +08:00
committed by GitHub
parent 78fd122594
commit 1f0d5c077e
14 changed files with 224 additions and 10 deletions
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79
hudi-spark/src/test/scala/org/apache/hudi/functional/TestCOWDataSource.scala
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@@ -18,7 +18,13 @@
package org.apache.hudi.functional
import java.sql.{Date, Timestamp}
import java.util.function.Supplier
import java.util.stream.Stream
import org.apache.hadoop.fs.Path
import org.apache.hudi.common.table.HoodieTableMetaClient
import org.apache.hudi.common.table.timeline.HoodieInstant
import org.apache.hudi.common.testutils.HoodieTestDataGenerator
import org.apache.hudi.common.testutils.RawTripTestPayload.recordsToStrings
import org.apache.hudi.config.HoodieWriteConfig
import org.apache.hudi.testutils.HoodieClientTestBase
@@ -156,6 +162,79 @@ class TestCOWDataSource extends HoodieClientTestBase {
assertEquals(100, timeTravelDF.count()) // 100 initial inserts must be pulled
}
@Test def testOverWriteModeUseReplaceAction(): Unit = {
val records1 = recordsToStrings(dataGen.generateInserts("001", 5)).toList
val inputDF1 = spark.read.json(spark.sparkContext.parallelize(records1, 2))
inputDF1.write.format("org.apache.hudi")
.options(commonOpts)
.option(DataSourceWriteOptions.OPERATION_OPT_KEY, DataSourceWriteOptions.INSERT_OPERATION_OPT_VAL)
.mode(SaveMode.Append)
.save(basePath)
val records2 = recordsToStrings(dataGen.generateInserts("002", 5)).toList
val inputDF2 = spark.read.json(spark.sparkContext.parallelize(records2, 2))
inputDF2.write.format("org.apache.hudi")
.options(commonOpts)
.option(DataSourceWriteOptions.OPERATION_OPT_KEY, DataSourceWriteOptions.INSERT_OPERATION_OPT_VAL)
.mode(SaveMode.Overwrite)
.save(basePath)
val metaClient = new HoodieTableMetaClient(spark.sparkContext.hadoopConfiguration, basePath, true)
val commits = metaClient.getActiveTimeline.filterCompletedInstants().getInstants.toArray
.map(instant => (instant.asInstanceOf[HoodieInstant]).getAction)
assertEquals(2, commits.size)
assertEquals("commit", commits(0))
assertEquals("replacecommit", commits(1))
}
@Test def testOverWriteModeUseReplaceActionOnDisJointPartitions(): Unit = {
// step1: Write 5 records to hoodie table for partition1 DEFAULT_FIRST_PARTITION_PATH
val records1 = recordsToStrings(dataGen.generateInsertsForPartition("001", 5, HoodieTestDataGenerator.DEFAULT_FIRST_PARTITION_PATH)).toList
val inputDF1 = spark.read.json(spark.sparkContext.parallelize(records1, 2))
inputDF1.write.format("org.apache.hudi")
.options(commonOpts)
.option(DataSourceWriteOptions.OPERATION_OPT_KEY, DataSourceWriteOptions.INSERT_OPERATION_OPT_VAL)
.mode(SaveMode.Append)
.save(basePath)
// step2: Write 7 more rectestOverWriteModeUseReplaceActionords using SaveMode.Overwrite for partition2 DEFAULT_SECOND_PARTITION_PATH
val records2 = recordsToStrings(dataGen.generateInsertsForPartition("002", 7, HoodieTestDataGenerator.DEFAULT_SECOND_PARTITION_PATH)).toList
val inputDF2 = spark.read.json(spark.sparkContext.parallelize(records2, 2))
inputDF2.write.format("org.apache.hudi")
.options(commonOpts)
.mode(SaveMode.Overwrite)
.save(basePath)
val allRecords = spark.read.format("org.apache.hudi").load(basePath + "/*/*/*")
allRecords.registerTempTable("tmpTable")
spark.sql(String.format("select count(*) from tmpTable")).show()
// step3: Query the rows count from hoodie table for partition1 DEFAULT_FIRST_PARTITION_PATH
val recordCountForParititon1 = spark.sql(String.format("select count(*) from tmpTable where partition = '%s'", HoodieTestDataGenerator.DEFAULT_FIRST_PARTITION_PATH)).collect()
assertEquals("0", recordCountForParititon1(0).get(0).toString)
// step4: Query the rows count from hoodie table for partition1 DEFAULT_SECOND_PARTITION_PATH
val recordCountForParititon2 = spark.sql(String.format("select count(*) from tmpTable where partition = '%s'", HoodieTestDataGenerator.DEFAULT_SECOND_PARTITION_PATH)).collect()
assertEquals("7", recordCountForParititon2(0).get(0).toString)
// step5: Query the rows count from hoodie table
val recordCount = spark.sql(String.format("select count(*) from tmpTable")).collect()
assertEquals("7", recordCountForParititon2(0).get(0).toString)
// step6: Query the rows count from hoodie table for partition1 DEFAULT_SECOND_PARTITION_PATH using spark.collect and then filter mode
val recordsForPartitionColumn = spark.sql(String.format("select partition from tmpTable")).collect()
val filterSecondPartitionCount = recordsForPartitionColumn.filter(row => row.get(0).equals(HoodieTestDataGenerator.DEFAULT_SECOND_PARTITION_PATH)).size
assertEquals(7,filterSecondPartitionCount)
val metaClient = new HoodieTableMetaClient(spark.sparkContext.hadoopConfiguration, basePath, true)
val commits = metaClient.getActiveTimeline.filterCompletedInstants().getInstants.toArray
.map(instant => instant.asInstanceOf[HoodieInstant].getAction)
assertEquals(2, commits.size)
assertEquals("commit", commits(0))
assertEquals("replacecommit", commits(1))
}
@Test def testDropInsertDup(): Unit = {
val insert1Cnt = 10
val insert2DupKeyCnt = 9