ravipesala commented on a change in pull request #3182: [WIP] [CARBONDATA-3343] Compaction for Range Sort
URL:
https://github.com/apache/carbondata/pull/3182#discussion_r277653660
##########
File path: integration/spark-common/src/main/scala/org/apache/carbondata/spark/rdd/CarbonMergerRDD.scala
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@@ -342,6 +366,35 @@ class CarbonMergerRDD[K, V](
updateDetails, updateStatusManager)))) &&
FileFormat.COLUMNAR_V3.equals(entry.getFileFormat)
}
+ carbonInputSplits ++:= filteredSplits
+ allSplits.addAll(filteredSplits.asJava)
+ }
+
+ var allRanges: Array[RangeValues] = new Array[RangeValues](defaultParallelism)
+ if (rangeColumn != null) {
+ val inputMetricsStats: CarbonInputMetrics = new CarbonInputMetrics
+ val projection = new CarbonProjection
+ projection.addColumn(rangeColumn.getColName)
+ val scanRdd = new CarbonScanRDD[InternalRow](
+ ss,
+ projection,
+ null,
+ carbonTable.getAbsoluteTableIdentifier,
+ carbonTable.getTableInfo.serialize(),
+ carbonTable.getTableInfo,
+ inputMetricsStats,
+ partitionNames = null,
+ splits = allSplits)
+ val objectOrdering: Ordering[Object] = createOrderingForColumn(rangeColumn)
+
+ // Change string type to support all types
+ val sampleRdd = scanRdd
+ .map(row => (row.get(0, Util.convertCarbonToSparkDataType(dataType)), null))
Review comment:
converting to spark type inside mapper is a heavier operation, Please convert before and pass to mapper
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