xuechendi commented on a change in pull request #34396:
URL: https://github.com/apache/spark/pull/34396#discussion_r750308135
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File path: sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala
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@@ -458,6 +461,24 @@ case class RowToColumnarExec(child: SparkPlan) extends
RowToColumnarTransition {
// This avoids calling `schema` in the RDD closure, so that we don't need
to include the entire
// plan (this) in the closure.
val localSchema = this.schema
+ if (enableArrowColumnVector) {
+ val maxRecordsPerBatch = SQLConf.get.arrowMaxRecordsPerBatch
+ val timeZoneId = SQLConf.get.sessionLocalTimeZone
+ return child.execute().mapPartitionsInternal { rowIterator =>
+ val context = TaskContext.get()
+ ArrowConverters.toColumnarBatchIterator(
+ ArrowConverters
+ .toArrowRecordBatchIterator(
+ rowIterator,
+ localSchema,
+ maxRecordsPerBatch,
+ timeZoneId,
+ context),
+ localSchema,
+ timeZoneId,
+ context)
+ }
+ }
Review comment:
@BryanCutler and @HyukjinKwon , for the implementation of
RowToColumnarExec, I now use `toArrowRecordBatchIterator` +
`toColumnarBatchIterator` to do the conversion, so there will be no
serialization and deserialization.
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