ajantha-bhat commented on a change in pull request #3538: [CARBONDATA-3637]
Optimize insert into flow
URL: https://github.com/apache/carbondata/pull/3538#discussion_r376339989
##########
File path:
integration/spark-common/src/main/scala/org/apache/carbondata/spark/load/DataLoadProcessBuilderOnSpark.scala
##########
@@ -179,6 +182,93 @@ object DataLoadProcessBuilderOnSpark {
updateLoadStatus(model, partialSuccessAccum)
}
+ def insertDataUsingGlobalSortWithInternalRow(sparkSession: SparkSession,
+ scanResultRDD : RDD[InternalRow],
+ model: CarbonLoadModel,
+ hadoopConf: Configuration): Array[(String, (LoadMetadataDetails,
ExecutionErrors))] = {
+ val originRDD = scanResultRDD
+
+ val sc = sparkSession.sparkContext
+ val modelBroadcast = sc.broadcast(model)
+ val partialSuccessAccum = sc.longAccumulator("Partial Success Accumulator")
+ val sortStepRowCounter = sc.longAccumulator("Sort Processor Accumulator")
+ val writeStepRowCounter = sc.longAccumulator("Write Processor Accumulator")
+
+ hadoopConf
+ .set(CarbonCommonConstants.CARBON_WRITTEN_BY_APPNAME,
sparkSession.sparkContext.appName)
+
+ val conf = SparkSQLUtil.broadCastHadoopConf(sc, hadoopConf)
+ val configuration = DataLoadProcessBuilder.createConfiguration(model)
+
+ // 1. Convert internalRow to object array
+ val fields = Util
+
.convertToSparkSchemaFromColumnSchema(model.getCarbonDataLoadSchema.getCarbonTable,
true)
+ .fields
+ .toSeq
+
+ val dataTypes = fields.map(field => field.dataType)
+ val map: mutable.Map[String, GenericDataType[_]] = mutable.Map[String,
GenericDataType[_]]()
+ CommonUtil.convertComplexDataType(map, configuration)
+ val rdd = originRDD.map { internalRow =>
+
CommonUtil.getObjectArrayFromInternalRowAndConvertComplexTypeForGlobalSort(internalRow,
+ fields,
+ map)
+ }
+
+ // 2. sort
+ var numPartitions = CarbonDataProcessorUtil.getGlobalSortPartitions(
+
configuration.getDataLoadProperty(CarbonCommonConstants.LOAD_GLOBAL_SORT_PARTITIONS))
+ if (numPartitions <= 0) {
+ numPartitions = originRDD.partitions.length
+ }
+ // Because if the number of partitions greater than 1, there will be
action operator
+ // (sample) in
+ // sortBy operator. So here we cache the rdd to avoid do input and convert
again.
+ if (numPartitions > 1) {
+ rdd.persist(StorageLevel.fromString(
+ CarbonProperties.getInstance().getGlobalSortRddStorageLevel()))
+ }
+ val sortColumnsLength =
model.getCarbonDataLoadSchema.getCarbonTable.getSortColumns.size()
+ val sortColumnDataTypes = dataTypes.take(sortColumnsLength)
+ val rowComparator =
GlobalSortHelper.generateRowComparator(sortColumnDataTypes)
+ val sortRDD = rdd.sortBy(x => getKey(x, sortColumnsLength,
sortColumnDataTypes),
Review comment:
ok
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