Github user jose-torres commented on a diff in the pull request: https://github.com/apache/spark/pull/21428#discussion_r194962850 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/continuous/shuffle/ContinuousShuffleReadRDD.scala --- @@ -34,8 +34,10 @@ case class ContinuousShuffleReadPartition( // Initialized only on the executor, and only once even as we call compute() multiple times. lazy val (reader: ContinuousShuffleReader, endpoint) = { val env = SparkEnv.get.rpcEnv - val receiver = new UnsafeRowReceiver(queueSize, numShuffleWriters, epochIntervalMs, env) - val endpoint = env.setupEndpoint(s"UnsafeRowReceiver-${UUID.randomUUID()}", receiver) + val receiver = new RPCContinuousShuffleReader( + queueSize, numShuffleWriters, epochIntervalMs, env) + val endpoint = env.setupEndpoint(s"RPCContinuousShuffleReader-${UUID.randomUUID()}", receiver) --- End diff -- It requires a reasonable amount of extra code. As mentioned, this is not the final shuffle mechanism (and I intend to have the TCP-based shuffle ready to go in the next Spark release).
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