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[SPARK-5124][Core][WIP] A standard internal RPC interface and an Akka implementation #3974
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Conflicts: core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala core/src/main/scala/org/apache/spark/executor/Executor.scala
…nding a message and add some unit tests
Conflicts: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
Conflicts: core/src/main/scala/org/apache/spark/storage/BlockManagerMasterActor.scala
Conflicts: core/src/main/scala/org/apache/spark/deploy/Client.scala core/src/main/scala/org/apache/spark/deploy/client/AppClient.scala core/src/main/scala/org/apache/spark/deploy/worker/Worker.scala
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Test build #25314 has finished for PR 3974 at commit
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Test build #25317 has finished for PR 3974 at commit
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Conflicts: core/src/main/scala/org/apache/spark/scheduler/cluster/CoarseGrainedSchedulerBackend.scala core/src/main/scala/org/apache/spark/scheduler/cluster/ExecutorData.scala core/src/main/scala/org/apache/spark/scheduler/cluster/YarnSchedulerBackend.scala core/src/main/scala/org/apache/spark/storage/BlockManager.scala
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Test build #25653 has finished for PR 3974 at commit
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See #4588 instead |
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This PR added a standard internal RPC interface for Spark and an Akka implementation based on @rxin's initial work. See the design document for more details. I replaced the most usages of Akka with the new RPC interface to prove it can cover all our requirements.
I sent this PR for discussing the new RPC interface. Please focus on
and ignore naming issues in other files (I avoid to change them for a clean diff)
Some problems need to discuss:
TODO:
***Actorto***Endpoint