[HUDI-1104] Adding support for UserDefinedPartitioners and SortModes to BulkInsert with Rows (#3149)
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@@ -19,7 +19,6 @@ package org.apache.hudi
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import java.util
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import java.util.Properties
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import org.apache.avro.generic.GenericRecord
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import org.apache.hadoop.conf.Configuration
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import org.apache.hadoop.fs.{FileSystem, Path}
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@@ -34,13 +33,15 @@ import org.apache.hudi.common.table.{HoodieTableConfig, HoodieTableMetaClient}
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import org.apache.hudi.common.table.timeline.HoodieActiveTimeline
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import org.apache.hudi.common.util.{CommitUtils, ReflectionUtils}
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import org.apache.hudi.config.HoodieBootstrapConfig.{BOOTSTRAP_BASE_PATH_PROP, BOOTSTRAP_INDEX_CLASS_PROP}
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import org.apache.hudi.config.HoodieWriteConfig
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import org.apache.hudi.config.{HoodieInternalConfig, HoodieWriteConfig}
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import org.apache.hudi.exception.HoodieException
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import org.apache.hudi.execution.bulkinsert.BulkInsertInternalPartitionerWithRowsFactory
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import org.apache.hudi.hive.util.ConfigUtils
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import org.apache.hudi.hive.{HiveSyncConfig, HiveSyncTool}
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import org.apache.hudi.internal.DataSourceInternalWriterHelper
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import org.apache.hudi.keygen.factory.HoodieSparkKeyGeneratorFactory
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import org.apache.hudi.sync.common.AbstractSyncTool
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import org.apache.hudi.table.BulkInsertPartitioner
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import org.apache.log4j.LogManager
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import org.apache.spark.SPARK_VERSION
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import org.apache.spark.SparkContext
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@@ -50,7 +51,7 @@ import org.apache.spark.sql.hudi.HoodieSqlUtils
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import org.apache.spark.sql.internal.SQLConf
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import org.apache.spark.sql.internal.StaticSQLConf.SCHEMA_STRING_LENGTH_THRESHOLD
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import org.apache.spark.sql.types.StructType
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import org.apache.spark.sql.{DataFrame, SQLContext, SaveMode, SparkSession}
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import org.apache.spark.sql.{DataFrame, Dataset, Row, SQLContext, SaveMode, SparkSession}
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import scala.collection.JavaConversions._
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import scala.collection.mutable.ListBuffer
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@@ -335,7 +336,17 @@ object HoodieSparkSqlWriter {
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}
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val params = parameters.updated(HoodieWriteConfig.AVRO_SCHEMA.key, schema.toString)
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val writeConfig = DataSourceUtils.createHoodieConfig(schema.toString, path.get, tblName, mapAsJavaMap(params))
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val hoodieDF = HoodieDatasetBulkInsertHelper.prepareHoodieDatasetForBulkInsert(sqlContext, writeConfig, df, structName, nameSpace)
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val userDefinedBulkInsertPartitionerOpt = DataSourceUtils.createUserDefinedBulkInsertPartitionerWithRows(writeConfig)
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val bulkInsertPartitionerRows : BulkInsertPartitioner[Dataset[Row]] = if (userDefinedBulkInsertPartitionerOpt.isPresent) {
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userDefinedBulkInsertPartitionerOpt.get
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}
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else {
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BulkInsertInternalPartitionerWithRowsFactory.get(writeConfig.getBulkInsertSortMode)
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}
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val arePartitionRecordsSorted = bulkInsertPartitionerRows.arePartitionRecordsSorted();
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parameters.updated(HoodieInternalConfig.BULKINSERT_ARE_PARTITIONER_RECORDS_SORTED, arePartitionRecordsSorted.toString)
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val hoodieDF = HoodieDatasetBulkInsertHelper.prepareHoodieDatasetForBulkInsert(sqlContext, writeConfig, df, structName, nameSpace,
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bulkInsertPartitionerRows)
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if (SPARK_VERSION.startsWith("2.")) {
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hoodieDF.write.format("org.apache.hudi.internal")
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.option(DataSourceInternalWriterHelper.INSTANT_TIME_OPT_KEY, instantTime)
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