[
https://issues.apache.org/jira/browse/FLINK-31560?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Brian Zhou updated FLINK-31560:
-------------------------------
Description:
Flink version: 1.16.0
We are using Flink to run some streaming applications with Pravega as source
and use window and reduce transformations. We use RocksDB state backend with
incremental checkpointing enabled. We don't enable the latest changelog state
backend.
When we try to stop the job, 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. 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 source
> and use window and reduce transformations. We use RocksDB state backend with
> incremental checkpointing enabled. We don't enable the latest changelog state
> backend.
> When we try to stop the job, 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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