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[SPARK-23053][CORE][BRANCH-2.1] taskBinarySerialization and task partitions calculate in DagScheduler.submitMissingTasks should keep the same RDD checkpoint status - #20635
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…late in DagScheduler.submitMissingTasks should keep the same RDD checkpoint status When we run concurrent jobs using the same rdd which is marked to do checkpoint. If one job has finished running the job, and start the process of RDD.doCheckpoint, while another job is submitted, then submitStage and submitMissingTasks will be called. In [submitMissingTasks](https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala#L961), will serialize taskBinaryBytes and calculate task partitions which are both affected by the status of checkpoint, if the former is calculated before doCheckpoint finished, while the latter is calculated after doCheckpoint finished, when run task, rdd.compute will be called, for some rdds with particular partition type such as [UnionRDD](https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/rdd/UnionRDD.scala) who will do partition type cast, will get a ClassCastException because the part params is actually a CheckpointRDDPartition. This error occurs because rdd.doCheckpoint occurs in the same thread that called sc.runJob, while the task serialization occurs in the DAGSchedulers event loop. the exist uts and also add a test case in DAGScheduerSuite to show the exception case. Author: huangtengfei <huangtengfei@huangtengfeideMacBook-Pro.local> Closesapache#20244 from ivoson/branch-taskpart-mistype. Change-Id: I634009d51ae40336e9d0717d061213ff7e36e71f
ivoson
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Feb 18, 2018
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cc @squito |
squito
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Feb 19, 2018
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Jenkins, Ok to test |
squito
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Feb 19, 2018
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lgtm assuming tests pass |
SparkQA
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Feb 21, 2018
Test build #4102 has finished for PR 20635 at commit
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asfgit pushed a commit
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Feb 21, 2018
…itions calculate in DagScheduler.submitMissingTasks should keep the same RDD checkpoint status ## What changes were proposed in this pull request? This PR backports [#20244](#20244) When we run concurrent jobs using the same rdd which is marked to do checkpoint. If one job has finished running the job, and start the process of RDD.doCheckpoint, while another job is submitted, then submitStage and submitMissingTasks will be called. In [submitMissingTasks](https://github.com/apache/spark/blob/branch-2.1/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala#L932), will serialize taskBinaryBytes and calculate task partitions which are both affected by the status of checkpoint, if the former is calculated before doCheckpoint finished, while the latter is calculated after doCheckpoint finished, when run task, rdd.compute will be called, for some rdds with particular partition type such as [UnionRDD](https://github.com/apache/spark/blob/branch-2.1/core/src/main/scala/org/apache/spark/rdd/UnionRDD.scala) who will do partition type cast, will get a ClassCastException because the part params is actually a CheckpointRDDPartition. This error occurs because rdd.doCheckpoint occurs in the same thread that called sc.runJob, while the task serialization occurs in the DAGSchedulers event loop. ## How was this patch tested? the exist tests. Author: huangtengfei <huangtengfei@huangtengfeideMacBook-Pro.local> Closes#20635 from ivoson/branch-2.1-23053.
squito
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Feb 21, 2018
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thanks @ivoson , merged! |
ivoson
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Feb 21, 2018
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thanks for reviewing this @squito |
zifeif2 pushed a commit
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Nov 22, 2025
Closesapache#20458Closesapache#20530Closesapache#20557Closesapache#20966Closesapache#20857Closesapache#19694Closesapache#18227Closesapache#20683Closesapache#20881Closesapache#20347Closesapache#20825Closesapache#20078Closesapache#21281Closesapache#19951Closesapache#20905Closesapache#20635 Author: Sean Owen <srowen@gmail.com> Closesapache#21303 from srowen/ClosePRs.
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What changes were proposed in this pull request?
This PR backports #20244
When we run concurrent jobs using the same rdd which is marked to do checkpoint. If one job has finished running the job, and start the process of RDD.doCheckpoint, while another job is submitted, then submitStage and submitMissingTasks will be called. In submitMissingTasks, will serialize taskBinaryBytes and calculate task partitions which are both affected by the status of checkpoint, if the former is calculated before doCheckpoint finished, while the latter is calculated after doCheckpoint finished, when run task, rdd.compute will be called, for some rdds with particular partition type such as UnionRDD who will do partition type cast, will get a ClassCastException because the part params is actually a CheckpointRDDPartition.
This error occurs because rdd.doCheckpoint occurs in the same thread that called sc.runJob, while the task serialization occurs in the DAGSchedulers event loop.
How was this patch tested?
the exist tests.