lanyuanxiaoyao/hudi
1
0
Fork 0
Code Activity

[HUDI-1545] Add test cases for INSERT_OVERWRITE Operation (#2483)

Browse Source 
Co-authored-by: sunke.03 <sunke.03@bytedance.com>
This commit is contained in:
Sun Ke
2021-02-08 13:47:01 +08:00
committed by GitHub
parent 4c5b6923cc
commit c30481f4b0
1 changed files with 90 additions and 10 deletions
Download Patch File Download Diff File Expand all files Collapse all files

100
hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/hudi/functional/TestCOWDataSource.scala
View File

@@ -198,6 +198,31 @@ class TestCOWDataSource extends HoodieClientTestBase {
.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_OVERWRITE_OPERATION_OPT_VAL)
.mode(SaveMode.Append)
.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 testOverWriteTableModeUseReplaceAction(): 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")
@@ -207,7 +232,7 @@ class TestCOWDataSource extends HoodieClientTestBase {
.save(basePath)
val metaClient = new HoodieTableMetaClient(spark.sparkContext.hadoopConfiguration, basePath, true)
val commits = metaClient.getActiveTimeline.filterCompletedInstants().getInstants.toArray
val commits = metaClient.getActiveTimeline.filterCompletedInstants().getInstants.toArray
.map(instant => (instant.asInstanceOf[HoodieInstant]).getAction)
assertEquals(2, commits.size)
assertEquals("commit", commits(0))
@@ -224,7 +249,62 @@ class TestCOWDataSource extends HoodieClientTestBase {
.mode(SaveMode.Append)
.save(basePath)
// step2: Write 7 more rectestOverWriteModeUseReplaceActionords using SaveMode.Overwrite for partition2 DEFAULT_SECOND_PARTITION_PATH
// step2: Write 7 records to hoodie table 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)
.option(DataSourceWriteOptions.OPERATION_OPT_KEY, DataSourceWriteOptions.INSERT_OPERATION_OPT_VAL)
.mode(SaveMode.Append)
.save(basePath)
// step3: Write 6 records to hoodie table for partition1 DEFAULT_FIRST_PARTITION_PATH using INSERT_OVERWRITE_OPERATION_OPT_VAL
val records3 = recordsToStrings(dataGen.generateInsertsForPartition("001", 6, HoodieTestDataGenerator.DEFAULT_FIRST_PARTITION_PATH)).toList
val inputDF3 = spark.read.json(spark.sparkContext.parallelize(records3, 2))
inputDF3.write.format("org.apache.hudi")
.options(commonOpts)
.option(DataSourceWriteOptions.OPERATION_OPT_KEY, DataSourceWriteOptions.INSERT_OVERWRITE_OPERATION_OPT_VAL)
.mode(SaveMode.Append)
.save(basePath)
val allRecords = spark.read.format("org.apache.hudi").load(basePath + "/*/*/*")
allRecords.registerTempTable("tmpTable")
spark.sql(String.format("select count(*) from tmpTable")).show()
// step4: 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("6", recordCountForParititon1(0).get(0).toString)
// step5: Query the rows count from hoodie table for partition2 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)
// step6: Query the rows count from hoodie table for partition2 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(3, commits.size)
assertEquals("commit", commits(0))
assertEquals("commit", commits(1))
assertEquals("replacecommit", commits(2))
}
@Test def testOverWriteTableModeUseReplaceActionOnDisJointPartitions(): 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 records 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")
@@ -233,30 +313,30 @@ class TestCOWDataSource extends HoodieClientTestBase {
.mode(SaveMode.Overwrite)
.save(basePath)
val allRecords = spark.read.format("org.apache.hudi").load(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()
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
// step4: Query the rows count from hoodie table for partition2 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)
assertEquals("7", recordCount(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
// step6: Query the rows count from hoodie table for partition2 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 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
val commits = metaClient.getActiveTimeline.filterCompletedInstants().getInstants.toArray
.map(instant => instant.asInstanceOf[HoodieInstant].getAction)
assertEquals(2, commits.size)
assertEquals("commit", commits(0))