apache-spark - 在 yarn 模式下 Spark 以 "Exit status: -100. Diagnostics: Container released on a *lost* node"结束

Question

我正在尝试使用最新的 EMR 加载具有 1TB 数据的数据库以在 AWS 上触发。而且运行时间太长，甚至 6 小时内都没有完成，但是在运行 6h30m 之后，我收到一些错误，宣布 Container 在丢失的节点上发布，然后作业失败。日志是这样的:

16/07/01 22:45:43 WARN scheduler.TaskSetManager: Lost task 144178.0 in stage 0.0 (TID 144178, ip-10-0-2-176.ec2.internal): ExecutorLostFailure (executor 5 exited caused by one of the running tasks) Reason: Container marked as failed: container_1467389397754_0001_01_000006 on host: ip-10-0-2-176.ec2.internal. Exit status: -100. Diagnostics: Container released on a *lost* node
16/07/01 22:45:43 WARN scheduler.TaskSetManager: Lost task 144181.0 in stage 0.0 (TID 144181, ip-10-0-2-176.ec2.internal): ExecutorLostFailure (executor 5 exited caused by one of the running tasks) Reason: Container marked as failed: container_1467389397754_0001_01_000006 on host: ip-10-0-2-176.ec2.internal. Exit status: -100. Diagnostics: Container released on a *lost* node
16/07/01 22:45:43 WARN scheduler.TaskSetManager: Lost task 144175.0 in stage 0.0 (TID 144175, ip-10-0-2-176.ec2.internal): ExecutorLostFailure (executor 5 exited caused by one of the running tasks) Reason: Container marked as failed: container_1467389397754_0001_01_000006 on host: ip-10-0-2-176.ec2.internal. Exit status: -100. Diagnostics: Container released on a *lost* node
16/07/01 22:45:43 WARN scheduler.TaskSetManager: Lost task 144213.0 in stage 0.0 (TID 144213, ip-10-0-2-176.ec2.internal): ExecutorLostFailure (executor 5 exited caused by one of the running tasks) Reason: Container marked as failed: container_1467389397754_0001_01_000006 on host: ip-10-0-2-176.ec2.internal. Exit status: -100. Diagnostics: Container released on a *lost* node
16/07/01 22:45:43 INFO scheduler.DAGScheduler: Executor lost: 5 (epoch 0)
16/07/01 22:45:43 WARN cluster.YarnSchedulerBackend$YarnSchedulerEndpoint: Container marked as failed: container_1467389397754_0001_01_000007 on host: ip-10-0-2-173.ec2.internal. Exit status: -100. Diagnostics: Container released on a *lost* node
16/07/01 22:45:43 INFO storage.BlockManagerMasterEndpoint: Trying to remove executor 5 from BlockManagerMaster.
16/07/01 22:45:43 INFO storage.BlockManagerMasterEndpoint: Removing block manager BlockManagerId(5, ip-10-0-2-176.ec2.internal, 43922)
16/07/01 22:45:43 INFO storage.BlockManagerMaster: Removed 5 successfully in removeExecutor
16/07/01 22:45:43 ERROR cluster.YarnClusterScheduler: Lost executor 6 on ip-10-0-2-173.ec2.internal: Container marked as failed: container_1467389397754_0001_01_000007 on host: ip-10-0-2-173.ec2.internal. Exit status: -100. Diagnostics: Container released on a *lost* node
16/07/01 22:45:43 INFO spark.ExecutorAllocationManager: Existing executor 5 has been removed (new total is 41)
16/07/01 22:45:43 WARN scheduler.TaskSetManager: Lost task 144138.0 in stage 0.0 (TID 144138, ip-10-0-2-173.ec2.internal): ExecutorLostFailure (executor 6 exited caused by one of the running tasks) Reason: Container marked as failed: container_1467389397754_0001_01_000007 on host: ip-10-0-2-173.ec2.internal. Exit status: -100. Diagnostics: Container released on a *lost* node
16/07/01 22:45:43 WARN scheduler.TaskSetManager: Lost task 144185.0 in stage 0.0 (TID 144185, ip-10-0-2-173.ec2.internal): ExecutorLostFailure (executor 6 exited caused by one of the running tasks) Reason: Container marked as failed: container_1467389397754_0001_01_000007 on host: ip-10-0-2-173.ec2.internal. Exit status: -100. Diagnostics: Container released on a *lost* node
16/07/01 22:45:43 WARN scheduler.TaskSetManager: Lost task 144184.0 in stage 0.0 (TID 144184, ip-10-0-2-173.ec2.internal): ExecutorLostFailure (executor 6 exited caused by one of the running tasks) Reason: Container marked as failed: container_1467389397754_0001_01_000007 on host: ip-10-0-2-173.ec2.internal. Exit status: -100. Diagnostics: Container released on a *lost* node
16/07/01 22:45:43 WARN scheduler.TaskSetManager: Lost task 144186.0 in stage 0.0 (TID 144186, ip-10-0-2-173.ec2.internal): ExecutorLostFailure (executor 6 exited caused by one of the running tasks) Reason: Container marked as failed: container_1467389397754_0001_01_000007 on host: ip-10-0-2-173.ec2.internal. Exit status: -100. Diagnostics: Container released on a *lost* node
16/07/01 22:45:43 WARN cluster.YarnSchedulerBackend$YarnSchedulerEndpoint: Container marked as failed: container_1467389397754_0001_01_000035 on host: ip-10-0-2-173.ec2.internal. Exit status: -100. Diagnostics: Container released on a *lost* node
16/07/01 22:45:43 INFO scheduler.DAGScheduler: Executor lost: 6 (epoch 0)
16/07/01 22:45:43 INFO storage.BlockManagerMasterEndpoint: Trying to remove executor 6 from BlockManagerMaster.
16/07/01 22:45:43 INFO storage.BlockManagerMasterEndpoint: Removing block manager BlockManagerId(6, ip-10-0-2-173.ec2.internal, 43593)
16/07/01 22:45:43 INFO storage.BlockManagerMaster: Removed 6 successfully in removeExecutor
16/07/01 22:45:43 ERROR cluster.YarnClusterScheduler: Lost executor 30 on ip-10-0-2-173.ec2.internal: Container marked as failed: container_1467389397754_0001_01_000035 on host: ip-10-0-2-173.ec2.internal. Exit status: -100. Diagnostics: Container released on a *lost* node
16/07/01 22:45:43 WARN scheduler.TaskSetManager: Lost task 144162.0 in stage 0.0 (TID 144162, ip-10-0-2-173.ec2.internal): ExecutorLostFailure (executor 30 exited caused by one of the running tasks) Reason: Container marked as failed: container_1467389397754_0001_01_000035 on host: ip-10-0-2-173.ec2.internal. Exit status: -100. Diagnostics: Container released on a *lost* node
16/07/01 22:45:43 INFO spark.ExecutorAllocationManager: Existing executor 6 has been removed (new total is 40)
16/07/01 22:45:43 WARN scheduler.TaskSetManager: Lost task 144156.0 in stage 0.0 (TID 144156, ip-10-0-2-173.ec2.internal): ExecutorLostFailure (executor 30 exited caused by one of the running tasks) Reason: Container marked as failed: container_1467389397754_0001_01_000035 on host: ip-10-0-2-173.ec2.internal. Exit status: -100. Diagnostics: Container released on a *lost* node
16/07/01 22:45:43 WARN scheduler.TaskSetManager: Lost task 144170.0 in stage 0.0 (TID 144170, ip-10-0-2-173.ec2.internal): ExecutorLostFailure (executor 30 exited caused by one of the running tasks) Reason: Container marked as failed: container_1467389397754_0001_01_000035 on host: ip-10-0-2-173.ec2.internal. Exit status: -100. Diagnostics: Container released on a *lost* node
16/07/01 22:45:43 WARN scheduler.TaskSetManager: Lost task 144169.0 in stage 0.0 (TID 144169, ip-10-0-2-173.ec2.internal): ExecutorLostFailure (executor 30 exited caused by one of the running tasks) Reason: Container marked as failed: container_1467389397754_0001_01_000035 on host: ip-10-0-2-173.ec2.internal. Exit status: -100. Diagnostics: Container released on a *lost* node
16/07/01 22:45:43 INFO scheduler.DAGScheduler: Executor lost: 30 (epoch 0)
16/07/01 22:45:43 WARN cluster.YarnSchedulerBackend$YarnSchedulerEndpoint: Container marked as failed: container_1467389397754_0001_01_000024 on host: ip-10-0-2-173.ec2.internal. Exit status: -100. Diagnostics: Container released on a *lost* node

我很确定我的网络设置有效，因为我尝试在相同环境中的一个小得多的表上运行此脚本。

另外，我知道有人在 6 个月前发布了一个问题，要求同样的问题: spark-job-error-yarnallocator-exit-status-100-diagnostics-container-released但我还是要问，因为没有人回答这个问题。

Answer 1

看起来其他人也有同样的问题，所以我只是发布答案而不是写评论。我不确定这会解决问题，但这应该是一个想法。

如果您使用现货实例，您应该知道如果价格高于您的输入，则现货实例将被关闭，您将遇到此问题。即使您只是将 Spot 实例用作从属实例。所以我的解决方案没有使用任何现货实例来进行长期运行的工作。

另一个想法是将作业分成许多独立的步骤，这样您就可以将每个步骤的结果保存为 S3 上的文件。如果发生任何错误，只需从缓存文件的那一步开始。