HyukjinKwon commented on code in PR #38613:
URL: https://github.com/apache/spark/pull/38613#discussion_r1019831985
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connector/connect/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectStreamHandler.scala:
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@@ -184,9 +158,30 @@ class SparkConnectStreamHandler(responseObserver:
StreamObserver[Response]) exte
responseObserver.onNext(response.build())
numSent += 1
}
+ }
+
+ // Store collection results for worst case of 1 to N-1 partitions
+ val results = new Array[Array[Batch]](numPartitions - 1)
+ var lastIndex = -1 // index of last partition written
- currentPartitionId += 1
+ // Handler to eagerly write partitions in order
+ val resultHandler = (partitionId: Int, partition: Array[Batch]) => {
Review Comment:
Nope, it doesn't (because it's guided by the index). This approach is
actually from the initial ordered implementation of collect with Arrow (that
were in production for very long time),
https://github.com/apache/spark/commit/82c18c240a6913a917df3b55cc5e22649561c4dd#diff-459628811d7786c705fbb2b7a381ecd2b88f183f44ab607d43b3d33ea48d390fR3282-R3318.
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