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[HUDI-2307] When using delete_partition with ds should not rely on the primary key (#3469)

- Co-authored-by: Sivabalan Narayanan <n.siva.b@gmail.com>
This commit is contained in:
liujinhui
2021-08-14 14:53:39 +08:00
committed by GitHub
parent 8eed440694
commit b7da6cb33d
4 changed files with 72 additions and 55 deletions

View File

@@ -325,6 +325,11 @@ object DataSourceWriteOptions {
@Deprecated
val INSERT_DROP_DUPS_OPT_KEY = INSERT_DROP_DUPS.key()
val PARTITIONS_TO_DELETE: ConfigProperty[String] = ConfigProperty
.key("hoodie.datasource.write.partitions.to.delete")
.noDefaultValue()
.withDocumentation("Comma separated list of partitions to delete")
val STREAMING_RETRY_CNT: ConfigProperty[String] = ConfigProperty
.key("hoodie.datasource.write.streaming.retry.count")
.defaultValue("3")

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@@ -29,8 +29,8 @@ import org.apache.hudi.client.{HoodieWriteResult, SparkRDDWriteClient}
import org.apache.hudi.common.config.{HoodieConfig, HoodieMetadataConfig, TypedProperties}
import org.apache.hudi.common.fs.FSUtils
import org.apache.hudi.common.model.{HoodieRecordPayload, HoodieTableType, WriteOperationType}
import org.apache.hudi.common.table.{HoodieTableConfig, HoodieTableMetaClient, TableSchemaResolver}
import org.apache.hudi.common.table.timeline.{HoodieActiveTimeline, HoodieTimeline}
import org.apache.hudi.common.table.TableSchemaResolver
import org.apache.hudi.common.table.timeline.HoodieActiveTimeline
import org.apache.hudi.common.table.{HoodieTableConfig, HoodieTableMetaClient}
import org.apache.hudi.common.util.{CommitUtils, ReflectionUtils}
import org.apache.hudi.config.HoodieBootstrapConfig.{BOOTSTRAP_BASE_PATH, BOOTSTRAP_INDEX_CLASS}
@@ -192,7 +192,12 @@ object HoodieSparkSqlWriter {
}
// Get list of partitions to delete
val partitionsToDelete = genericRecords.map(gr => keyGenerator.getKey(gr).getPartitionPath).toJavaRDD().distinct().collect()
val partitionsToDelete = if (parameters.containsKey(DataSourceWriteOptions.PARTITIONS_TO_DELETE.key())) {
val partitionColsToDelete = parameters.get(DataSourceWriteOptions.PARTITIONS_TO_DELETE.key()).get.split(",")
java.util.Arrays.asList(partitionColsToDelete:_*)
} else {
genericRecords.map(gr => keyGenerator.getKey(gr).getPartitionPath).toJavaRDD().distinct().collect()
}
// Create a HoodieWriteClient & issue the delete.
val client = hoodieWriteClient.getOrElse(DataSourceUtils.createHoodieClient(jsc,
null, path.get, tblName,

View File

@@ -22,7 +22,7 @@ import org.apache.hadoop.fs.Path
import org.apache.hudi.DataSourceWriteOptions._
import org.apache.hudi.client.SparkRDDWriteClient
import org.apache.hudi.common.config.HoodieConfig
import org.apache.hudi.common.table.{HoodieTableConfig, HoodieTableMetaClient, TableSchemaResolver}
import org.apache.hudi.common.table.{HoodieTableMetaClient, TableSchemaResolver}
import org.apache.hudi.common.model.{HoodieFileFormat, HoodieRecord, HoodieRecordPayload, HoodieTableType, WriteOperationType}
import org.apache.hudi.common.table.HoodieTableConfig
import org.apache.hudi.common.testutils.HoodieTestDataGenerator
@@ -679,13 +679,15 @@ class HoodieSparkSqlWriterSuite extends FunSuite with Matchers {
}
}
test("test delete partitions") {
initSparkContext("test_delete_partitions")
List(true, false)
.foreach(usePartitionsToDeleteConfig => {
test("test delete partitions for " + usePartitionsToDeleteConfig) {
initSparkContext("test_delete_partitions_" + usePartitionsToDeleteConfig)
val path = java.nio.file.Files.createTempDirectory("hoodie_test_path_delete_partitions")
try {
val hoodieFooTableName = "hoodie_foo_tbl_delete_partitions"
val fooTableModifier = getCommonParams(path, hoodieFooTableName, HoodieTableType.COPY_ON_WRITE.name())
val fooTableParams = HoodieWriterUtils.parametersWithWriteDefaults(fooTableModifier)
var fooTableParams = HoodieWriterUtils.parametersWithWriteDefaults(fooTableModifier)
val schema = DataSourceTestUtils.getStructTypeExampleSchema
val structType = AvroConversionUtils.convertAvroSchemaToStructType(schema)
val records = DataSourceTestUtils.generateRandomRows(10)
@@ -715,10 +717,14 @@ class HoodieSparkSqlWriterSuite extends FunSuite with Matchers {
// ensure 2nd batch of updates matches.
assert(updatesDf.intersect(trimmedDf2).except(updatesDf).count() == 0)
// delete partitions
if ( usePartitionsToDeleteConfig) {
fooTableParams.updated(DataSourceWriteOptions.PARTITIONS_TO_DELETE.key(), HoodieTestDataGenerator.DEFAULT_FIRST_PARTITION_PATH)
}
// delete partitions contains the primary key
val recordsToDelete = df1.filter(entry => {
val partitionPath : String = entry.getString(1)
partitionPath.equals(HoodieTestDataGenerator.DEFAULT_FIRST_PARTITION_PATH) || partitionPath.equals(HoodieTestDataGenerator.DEFAULT_SECOND_PARTITION_PATH)
partitionPath.equals(HoodieTestDataGenerator.DEFAULT_FIRST_PARTITION_PATH) ||
partitionPath.equals(HoodieTestDataGenerator.DEFAULT_SECOND_PARTITION_PATH)
})
val updatedParams = fooTableParams.updated(DataSourceWriteOptions.OPERATION.key(), WriteOperationType.DELETE_PARTITION.name())
HoodieSparkSqlWriter.write(sqlContext, SaveMode.Append, updatedParams, recordsToDelete)
@@ -734,6 +740,7 @@ class HoodieSparkSqlWriterSuite extends FunSuite with Matchers {
FileUtils.deleteDirectory(path.toFile)
}
}
})
def dropMetaFields(df: Dataset[Row]) : Dataset[Row] = {
df.drop(HoodieRecord.HOODIE_META_COLUMNS.get(0)).drop(HoodieRecord.HOODIE_META_COLUMNS.get(1))

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@@ -27,7 +27,7 @@
<check level="error" class="org.scalastyle.file.FileTabChecker" enabled="true"/>
<check level="error" class="org.scalastyle.file.FileLengthChecker" enabled="true">
<parameters>
<parameter name="maxFileLength"><![CDATA[800]]></parameter>
<parameter name="maxFileLength"><![CDATA[900]]></parameter>
</parameters>
</check>
<check level="error" class="org.scalastyle.scalariform.SpacesAfterPlusChecker" enabled="true"/>