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Posted to issues@flink.apache.org by "Fan Yang (Jira)" <ji...@apache.org> on 2023/03/22 09:36:00 UTC
[jira] [Updated] (FLINK-31560) Issue deleting Flink cluster due to savepoint failing to complete
[ https://issues.apache.org/jira/browse/FLINK-31560?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Fan Yang updated FLINK-31560:
-----------------------------
Description:
Flink version: 1.16.0
We are using Flink to run some streaming applications with Pravega as external system and also have `state.backend.incremental` enabled. Our applications mainly use window and reduce transformations. When we try to delete the flink cluster, we encounter issues with the savepoint failing to complete for the job. This happens most of the time. On rare occasions, the job gets canceled suddenly with its savepoint get completed successfully.
Savepointing shows below error:
{code:java}
2023-03-22 08:55:57,521 [jobmanager-io-thread-1] WARN org.apache.flink.runtime.checkpoint.CheckpointFailureManager [] - Failed to trigger or complete checkpoint 189 for job 7354442cd6f7c121249360680c04284d. (0 consecutive failed attempts so far)org.apache.flink.runtime.checkpoint.CheckpointException: Failure to finalize checkpoint. at org.apache.flink.runtime.checkpoint.CheckpointCoordinator.finalizeCheckpoint(CheckpointCoordinator.java:1375) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.CheckpointCoordinator.completePendingCheckpoint(CheckpointCoordinator.java:1265) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.CheckpointCoordinator.receiveAcknowledgeMessage(CheckpointCoordinator.java:1157) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.scheduler.ExecutionGraphHandler.lambda$acknowledgeCheckpoint$1(ExecutionGraphHandler.java:89) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.scheduler.ExecutionGraphHandler.lambda$processCheckpointCoordinatorMessage$3(ExecutionGraphHandler.java:119) ~[flink-dist-1.16.0.jar:1.16.0] at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) [?:?] at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) [?:?] at java.lang.Thread.run(Thread.java:829) [?:?]Caused by: java.io.IOException: Unknown implementation of StreamStateHandle: class org.apache.flink.runtime.state.PlaceholderStreamStateHandle at org.apache.flink.runtime.checkpoint.metadata.MetadataV2V3SerializerBase.serializeStreamStateHandle(MetadataV2V3SerializerBase.java:699) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV2V3SerializerBase.serializeStreamStateHandleMap(MetadataV2V3SerializerBase.java:813) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV2V3SerializerBase.serializeKeyedStateHandle(MetadataV2V3SerializerBase.java:344) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV2V3SerializerBase.serializeKeyedStateCol(MetadataV2V3SerializerBase.java:269) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV2V3SerializerBase.serializeSubtaskState(MetadataV2V3SerializerBase.java:262) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV3Serializer.serializeSubtaskState(MetadataV3Serializer.java:142) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV3Serializer.serializeOperatorState(MetadataV3Serializer.java:122) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV2V3SerializerBase.serializeMetadata(MetadataV2V3SerializerBase.java:146) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV3Serializer.serialize(MetadataV3Serializer.java:83) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV4Serializer.serialize(MetadataV4Serializer.java:56) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.Checkpoints.storeCheckpointMetadata(Checkpoints.java:100) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.Checkpoints.storeCheckpointMetadata(Checkpoints.java:87) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.Checkpoints.storeCheckpointMetadata(Checkpoints.java:82) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.PendingCheckpoint.finalizeCheckpoint(PendingCheckpoint.java:333) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.CheckpointCoordinator.finalizeCheckpoint(CheckpointCoordinator.java:1361) ~[flink-dist-1.16.0.jar:1.16.0] ... 7 more {code}
Prior to Flink 1.16, we did not observe this error. Since `PlaceholderStreamStateHandle` is used to indicate it's a reusable RocksDB data for incremental checkpoint, we believe that the new improvements of incremental checkpoint introduced in flink 1.16 release might be related to this issue.
We require assistance in investigating this issue and finding a solution.
was:
Flink version: 1.16.0
We are using Flink to run some streaming applications with Pravega as external system and also have `state.backend.incremental` enabled. Our applications mainly use window and reduce transformations. When we try to delete the flink cluster, we encounter issues with the savepoint failing to complete for the job. But occasionally the job will get canceled suddenly. This happens most of the time. On rare occasions, the job gets canceled suddenly with its savepoint get completed successfully.
Savepointing shows below error:
{code:java}
2023-03-22 08:55:57,521 [jobmanager-io-thread-1] WARN org.apache.flink.runtime.checkpoint.CheckpointFailureManager [] - Failed to trigger or complete checkpoint 189 for job 7354442cd6f7c121249360680c04284d. (0 consecutive failed attempts so far)org.apache.flink.runtime.checkpoint.CheckpointException: Failure to finalize checkpoint. at org.apache.flink.runtime.checkpoint.CheckpointCoordinator.finalizeCheckpoint(CheckpointCoordinator.java:1375) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.CheckpointCoordinator.completePendingCheckpoint(CheckpointCoordinator.java:1265) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.CheckpointCoordinator.receiveAcknowledgeMessage(CheckpointCoordinator.java:1157) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.scheduler.ExecutionGraphHandler.lambda$acknowledgeCheckpoint$1(ExecutionGraphHandler.java:89) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.scheduler.ExecutionGraphHandler.lambda$processCheckpointCoordinatorMessage$3(ExecutionGraphHandler.java:119) ~[flink-dist-1.16.0.jar:1.16.0] at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) [?:?] at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) [?:?] at java.lang.Thread.run(Thread.java:829) [?:?]Caused by: java.io.IOException: Unknown implementation of StreamStateHandle: class org.apache.flink.runtime.state.PlaceholderStreamStateHandle at org.apache.flink.runtime.checkpoint.metadata.MetadataV2V3SerializerBase.serializeStreamStateHandle(MetadataV2V3SerializerBase.java:699) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV2V3SerializerBase.serializeStreamStateHandleMap(MetadataV2V3SerializerBase.java:813) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV2V3SerializerBase.serializeKeyedStateHandle(MetadataV2V3SerializerBase.java:344) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV2V3SerializerBase.serializeKeyedStateCol(MetadataV2V3SerializerBase.java:269) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV2V3SerializerBase.serializeSubtaskState(MetadataV2V3SerializerBase.java:262) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV3Serializer.serializeSubtaskState(MetadataV3Serializer.java:142) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV3Serializer.serializeOperatorState(MetadataV3Serializer.java:122) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV2V3SerializerBase.serializeMetadata(MetadataV2V3SerializerBase.java:146) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV3Serializer.serialize(MetadataV3Serializer.java:83) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV4Serializer.serialize(MetadataV4Serializer.java:56) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.Checkpoints.storeCheckpointMetadata(Checkpoints.java:100) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.Checkpoints.storeCheckpointMetadata(Checkpoints.java:87) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.Checkpoints.storeCheckpointMetadata(Checkpoints.java:82) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.PendingCheckpoint.finalizeCheckpoint(PendingCheckpoint.java:333) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.CheckpointCoordinator.finalizeCheckpoint(CheckpointCoordinator.java:1361) ~[flink-dist-1.16.0.jar:1.16.0] ... 7 more {code}
Prior to Flink 1.16, we did not observe this error. Since `PlaceholderStreamStateHandle` is used to indicate it's a reusable RocksDB data for incremental checkpoint, we believe that the new improvements of incremental checkpoint introduced in flink 1.16 release might be related to this issue.
We require assistance in investigating this issue and finding a solution.
> Issue deleting Flink cluster due to savepoint failing to complete
> -----------------------------------------------------------------
>
> Key: FLINK-31560
> URL: https://issues.apache.org/jira/browse/FLINK-31560
> Project: Flink
> Issue Type: Bug
> Components: Runtime / State Backends
> Affects Versions: 1.16.0
> Reporter: Fan Yang
> Priority: Major
>
> Flink version: 1.16.0
>
> We are using Flink to run some streaming applications with Pravega as external system and also have `state.backend.incremental` enabled. Our applications mainly use window and reduce transformations. When we try to delete the flink cluster, we encounter issues with the savepoint failing to complete for the job. This happens most of the time. On rare occasions, the job gets canceled suddenly with its savepoint get completed successfully.
> Savepointing shows below error:
>
> {code:java}
> 2023-03-22 08:55:57,521 [jobmanager-io-thread-1] WARN org.apache.flink.runtime.checkpoint.CheckpointFailureManager [] - Failed to trigger or complete checkpoint 189 for job 7354442cd6f7c121249360680c04284d. (0 consecutive failed attempts so far)org.apache.flink.runtime.checkpoint.CheckpointException: Failure to finalize checkpoint. at org.apache.flink.runtime.checkpoint.CheckpointCoordinator.finalizeCheckpoint(CheckpointCoordinator.java:1375) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.CheckpointCoordinator.completePendingCheckpoint(CheckpointCoordinator.java:1265) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.CheckpointCoordinator.receiveAcknowledgeMessage(CheckpointCoordinator.java:1157) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.scheduler.ExecutionGraphHandler.lambda$acknowledgeCheckpoint$1(ExecutionGraphHandler.java:89) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.scheduler.ExecutionGraphHandler.lambda$processCheckpointCoordinatorMessage$3(ExecutionGraphHandler.java:119) ~[flink-dist-1.16.0.jar:1.16.0] at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) [?:?] at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) [?:?] at java.lang.Thread.run(Thread.java:829) [?:?]Caused by: java.io.IOException: Unknown implementation of StreamStateHandle: class org.apache.flink.runtime.state.PlaceholderStreamStateHandle at org.apache.flink.runtime.checkpoint.metadata.MetadataV2V3SerializerBase.serializeStreamStateHandle(MetadataV2V3SerializerBase.java:699) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV2V3SerializerBase.serializeStreamStateHandleMap(MetadataV2V3SerializerBase.java:813) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV2V3SerializerBase.serializeKeyedStateHandle(MetadataV2V3SerializerBase.java:344) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV2V3SerializerBase.serializeKeyedStateCol(MetadataV2V3SerializerBase.java:269) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV2V3SerializerBase.serializeSubtaskState(MetadataV2V3SerializerBase.java:262) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV3Serializer.serializeSubtaskState(MetadataV3Serializer.java:142) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV3Serializer.serializeOperatorState(MetadataV3Serializer.java:122) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV2V3SerializerBase.serializeMetadata(MetadataV2V3SerializerBase.java:146) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV3Serializer.serialize(MetadataV3Serializer.java:83) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.metadata.MetadataV4Serializer.serialize(MetadataV4Serializer.java:56) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.Checkpoints.storeCheckpointMetadata(Checkpoints.java:100) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.Checkpoints.storeCheckpointMetadata(Checkpoints.java:87) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.Checkpoints.storeCheckpointMetadata(Checkpoints.java:82) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.PendingCheckpoint.finalizeCheckpoint(PendingCheckpoint.java:333) ~[flink-dist-1.16.0.jar:1.16.0] at org.apache.flink.runtime.checkpoint.CheckpointCoordinator.finalizeCheckpoint(CheckpointCoordinator.java:1361) ~[flink-dist-1.16.0.jar:1.16.0] ... 7 more {code}
>
> Prior to Flink 1.16, we did not observe this error. Since `PlaceholderStreamStateHandle` is used to indicate it's a reusable RocksDB data for incremental checkpoint, we believe that the new improvements of incremental checkpoint introduced in flink 1.16 release might be related to this issue.
> We require assistance in investigating this issue and finding a solution.
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