Github user ravipesala commented on a diff in the pull request:
https://github.com/apache/incubator-carbondata/pull/412#discussion_r92742973
--- Diff:
integration/spark2/src/main/scala/org/apache/spark/sql/execution/CarbonLateDecodeStrategy.scala
---
@@ -87,19 +90,17 @@ private[sql] class CarbonLateDecodeStrategy extends
SparkStrategy {
private[this] def toCatalystRDD(
relation: LogicalRelation,
output: Seq[Attribute],
- rdd: RDD[Row],
+ rdd: RDD[InternalRow],
needDecode: ArrayBuffer[AttributeReference]):
RDD[InternalRow] = {
- val newRdd = if (needDecode.size > 0) {
+ if (needDecode.size > 0) {
+ rdd.asInstanceOf[CarbonScanRDD].setVectorReaderSupport(false)
getDecoderRDD(relation, needDecode, rdd, output)
--- End diff --
if vector reader is true and `needDecode.size > 0` then it uses dictionary
decoder rdd in its parent.But decoder rdd is not capable of handling columnar
batches.
I will raise another PR to move the decoder RDD logic to carbon layer.
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