hvanhovell commented on code in PR #38613: URL: https://github.com/apache/spark/pull/38613#discussion_r1020133986
########## connector/connect/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectStreamHandler.scala: ########## @@ -144,36 +144,10 @@ class SparkConnectStreamHandler(responseObserver: StreamObserver[Response]) exte .toArrowBatchIterator(iter, schema, maxRecordsPerBatch, timeZoneId) } - val signal = new Object - val partitions = collection.mutable.Map.empty[Int, Array[Batch]] - - val processPartition = (iter: Iterator[Batch]) => iter.toArray - // This callback is executed by the DAGScheduler thread. - // After fetching a partition, it inserts the partition into the Map, and then - // wakes up the main thread. - val resultHandler = (partitionId: Int, partition: Array[Batch]) => { - signal.synchronized { - partitions(partitionId) = partition - signal.notify() - } - () - } - - spark.sparkContext.runJob(batches, processPartition, resultHandler) - - // The man thread will wait until 0-th partition is available, - // then send it to client and wait for next partition. - var currentPartitionId = 0 - while (currentPartitionId < numPartitions) { - val partition = signal.synchronized { - while (!partitions.contains(currentPartitionId)) { - signal.wait() - } - partitions.remove(currentPartitionId).get - } - - partition.foreach { case (bytes, count) => + def writeBatches(arrowBatches: Array[Batch]): Unit = { Review Comment: That is not an argument against doing this properly. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org