zhengruifeng commented on code in PR #38468:
URL: https://github.com/apache/spark/pull/38468#discussion_r1013550540
##########
connector/connect/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectStreamHandler.scala:
##########
@@ -117,7 +131,36 @@ class SparkConnectStreamHandler(responseObserver:
StreamObserver[Response]) exte
responseObserver.onNext(response.build())
}
- responseObserver.onNext(sendMetricsToResponse(clientId, rows))
+ responseObserver.onNext(sendMetricsToResponse(clientId, dataframe))
+ responseObserver.onCompleted()
+ }
+
+ def processRowsAsArrowBatches(clientId: String, dataframe: DataFrame): Unit
= {
+ val schema = dataframe.schema
+ val maxRecordsPerBatch =
dataframe.sparkSession.sessionState.conf.arrowMaxRecordsPerBatch
+ val timeZoneId =
dataframe.sparkSession.sessionState.conf.sessionLocalTimeZone
+
+ val batches = dataframe.queryExecution.executedPlan
+ .execute()
+ .mapPartitionsInternal { iter =>
+ ArrowConverters
+ .toArrowBatchIterator(iter, schema, maxRecordsPerBatch, timeZoneId,
TaskContext.get)
+ }
+
+ batches.toLocalIterator.foreach { case (bytes, count, size) =>
Review Comment:
maybe we should also add a field `partitionId` in proto message, than we
sort by it in client to keep the order
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