[
https://issues.apache.org/jira/browse/FLINK-31903?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Zhipeng Zhang updated FLINK-31903:
----------------------------------
Description:
When caching more than 1,000,000 records using BroadcastUtils#withBroadcast, it
leads to exception as follows:
{code:java}
Caused by: org.apache.flink.util.FlinkRuntimeException: Exceeded checkpoint
tolerable failure threshold.
at
org.apache.flink.runtime.checkpoint.CheckpointFailureManager.checkFailureAgainstCounter(CheckpointFailureManager.java:206)
at
org.apache.flink.runtime.checkpoint.CheckpointFailureManager.handleTaskLevelCheckpointException(CheckpointFailureManager.java:191)
at
org.apache.flink.runtime.checkpoint.CheckpointFailureManager.handleCheckpointException(CheckpointFailureManager.java:124)
at
org.apache.flink.runtime.checkpoint.CheckpointCoordinator.abortPendingCheckpoint(CheckpointCoordinator.java:2078)
at
org.apache.flink.runtime.checkpoint.CheckpointCoordinator.receiveDeclineMessage(CheckpointCoordinator.java:1038)
at
org.apache.flink.runtime.scheduler.ExecutionGraphHandler.lambda$declineCheckpoint$2(ExecutionGraphHandler.java:103)
at
org.apache.flink.runtime.scheduler.ExecutionGraphHandler.lambda$processCheckpointCoordinatorMessage$3(ExecutionGraphHandler.java:119)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
{code}
It seems that the bug comes from caching too many records when calling
AbstractBroadcastWrapperOperator#snapshot.
The failed case could be found here:
https://github.com/zhipeng93/flink-ml/tree/FLINK-31903-fail-case
was:
When caching more than 1,000,000 records using BroadcastUtils#withBroadcast, it
leads to exception as follows:
{code:java}
Caused by: org.apache.flink.util.FlinkRuntimeException: Exceeded checkpoint
tolerable failure threshold.
at
org.apache.flink.runtime.checkpoint.CheckpointFailureManager.checkFailureAgainstCounter(CheckpointFailureManager.java:206)
at
org.apache.flink.runtime.checkpoint.CheckpointFailureManager.handleTaskLevelCheckpointException(CheckpointFailureManager.java:191)
at
org.apache.flink.runtime.checkpoint.CheckpointFailureManager.handleCheckpointException(CheckpointFailureManager.java:124)
at
org.apache.flink.runtime.checkpoint.CheckpointCoordinator.abortPendingCheckpoint(CheckpointCoordinator.java:2078)
at
org.apache.flink.runtime.checkpoint.CheckpointCoordinator.receiveDeclineMessage(CheckpointCoordinator.java:1038)
at
org.apache.flink.runtime.scheduler.ExecutionGraphHandler.lambda$declineCheckpoint$2(ExecutionGraphHandler.java:103)
at
org.apache.flink.runtime.scheduler.ExecutionGraphHandler.lambda$processCheckpointCoordinatorMessage$3(ExecutionGraphHandler.java:119)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
{code}
It seems that the bug comes from caching too many records when calling
AbstractBroadcastWrapperOperator#snapshot.
> Caching records fails in BroadcastUtils#withBroadcastStream
> -----------------------------------------------------------
>
> Key: FLINK-31903
> URL: https://issues.apache.org/jira/browse/FLINK-31903
> Project: Flink
> Issue Type: Bug
> Components: Library / Machine Learning
> Affects Versions: ml-2.3.0
> Reporter: Zhipeng Zhang
> Priority: Major
>
> When caching more than 1,000,000 records using BroadcastUtils#withBroadcast,
> it leads to exception as follows:
> {code:java}
> Caused by: org.apache.flink.util.FlinkRuntimeException: Exceeded checkpoint
> tolerable failure threshold.
> at
> org.apache.flink.runtime.checkpoint.CheckpointFailureManager.checkFailureAgainstCounter(CheckpointFailureManager.java:206)
> at
> org.apache.flink.runtime.checkpoint.CheckpointFailureManager.handleTaskLevelCheckpointException(CheckpointFailureManager.java:191)
> at
> org.apache.flink.runtime.checkpoint.CheckpointFailureManager.handleCheckpointException(CheckpointFailureManager.java:124)
> at
> org.apache.flink.runtime.checkpoint.CheckpointCoordinator.abortPendingCheckpoint(CheckpointCoordinator.java:2078)
> at
> org.apache.flink.runtime.checkpoint.CheckpointCoordinator.receiveDeclineMessage(CheckpointCoordinator.java:1038)
> at
> org.apache.flink.runtime.scheduler.ExecutionGraphHandler.lambda$declineCheckpoint$2(ExecutionGraphHandler.java:103)
> at
> org.apache.flink.runtime.scheduler.ExecutionGraphHandler.lambda$processCheckpointCoordinatorMessage$3(ExecutionGraphHandler.java:119)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> {code}
> It seems that the bug comes from caching too many records when calling
> AbstractBroadcastWrapperOperator#snapshot.
>
> The failed case could be found here:
> https://github.com/zhipeng93/flink-ml/tree/FLINK-31903-fail-case
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