[jira] [Commented] (FLINK-34718) KeyedPartitionWindowedStream and NonPartitionWindowedStream IllegalStateException in AZP
[
https://issues.apache.org/jira/browse/FLINK-34718?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17827987#comment-17827987
]
Ryan Skraba commented on FLINK-34718:
-
*
[https://dev.azure.com/apache-flink/apache-flink/_build/results?buildId=58352&view=logs&j=8fd9202e-fd17-5b26-353c-ac1ff76c8f28&t=ea7cf968-e585-52cb-e0fc-f48de023a7ca&l=9325]
*
[https://dev.azure.com/apache-flink/apache-flink/_build/results?buildId=58359&view=logs&j=8fd9202e-fd17-5b26-353c-ac1ff76c8f28&t=ea7cf968-e585-52cb-e0fc-f48de023a7ca&l=9670]
*
[https://dev.azure.com/apache-flink/apache-flink/_build/results?buildId=58366&view=logs&j=8fd9202e-fd17-5b26-353c-ac1ff76c8f28&t=ea7cf968-e585-52cb-e0fc-f48de023a7ca&l=8354]
> KeyedPartitionWindowedStream and NonPartitionWindowedStream
> IllegalStateException in AZP
>
>
> Key: FLINK-34718
> URL: https://issues.apache.org/jira/browse/FLINK-34718
> Project: Flink
> Issue Type: Bug
> Components: API / DataStream
>Affects Versions: 1.20.0
>Reporter: Ryan Skraba
>Priority: Critical
>
> [https://dev.azure.com/apache-flink/apache-flink/_build/results?buildId=58320&view=logs&j=8fd9202e-fd17-5b26-353c-ac1ff76c8f28&t=ea7cf968-e585-52cb-e0fc-f48de023a7ca&l=9646]
> 18 of the KeyedPartitionWindowedStreamITCase and
> NonKeyedPartitionWindowedStreamITCase unit tests introduced in FLINK-34543
> are failing in the adaptive scheduler profile, with errors similar to:
> {code:java}
> Mar 15 01:54:12 Caused by: java.lang.IllegalStateException: The adaptive
> scheduler supports pipelined data exchanges (violated by MapPartition
> (org.apache.flink.streaming.runtime.tasks.OneInputStreamTask) ->
> ddb598ad156ed281023ba4eebbe487e3).
> Mar 15 01:54:12 at
> org.apache.flink.util.Preconditions.checkState(Preconditions.java:215)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveScheduler.assertPreconditions(AdaptiveScheduler.java:438)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveScheduler.(AdaptiveScheduler.java:356)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveSchedulerFactory.createInstance(AdaptiveSchedulerFactory.java:124)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.DefaultSlotPoolServiceSchedulerFactory.createScheduler(DefaultSlotPoolServiceSchedulerFactory.java:121)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.JobMaster.createScheduler(JobMaster.java:384)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.JobMaster.(JobMaster.java:361)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.factories.DefaultJobMasterServiceFactory.internalCreateJobMasterService(DefaultJobMasterServiceFactory.java:128)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.factories.DefaultJobMasterServiceFactory.lambda$createJobMasterService$0(DefaultJobMasterServiceFactory.java:100)
> Mar 15 01:54:12 at
> org.apache.flink.util.function.FunctionUtils.lambda$uncheckedSupplier$4(FunctionUtils.java:112)
> Mar 15 01:54:12 at
> java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1604)
> Mar 15 01:54:12 ... 4 more
> {code}
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[jira] [Commented] (FLINK-34718) KeyedPartitionWindowedStream and NonPartitionWindowedStream IllegalStateException in AZP
[
https://issues.apache.org/jira/browse/FLINK-34718?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17828007#comment-17828007
]
Matthias Pohl commented on FLINK-34718:
---
[~Wencong Liu] can you have a look at this?
> KeyedPartitionWindowedStream and NonPartitionWindowedStream
> IllegalStateException in AZP
>
>
> Key: FLINK-34718
> URL: https://issues.apache.org/jira/browse/FLINK-34718
> Project: Flink
> Issue Type: Bug
> Components: API / DataStream
>Affects Versions: 1.20.0
>Reporter: Ryan Skraba
>Priority: Critical
>
> [https://dev.azure.com/apache-flink/apache-flink/_build/results?buildId=58320&view=logs&j=8fd9202e-fd17-5b26-353c-ac1ff76c8f28&t=ea7cf968-e585-52cb-e0fc-f48de023a7ca&l=9646]
> 18 of the KeyedPartitionWindowedStreamITCase and
> NonKeyedPartitionWindowedStreamITCase unit tests introduced in FLINK-34543
> are failing in the adaptive scheduler profile, with errors similar to:
> {code:java}
> Mar 15 01:54:12 Caused by: java.lang.IllegalStateException: The adaptive
> scheduler supports pipelined data exchanges (violated by MapPartition
> (org.apache.flink.streaming.runtime.tasks.OneInputStreamTask) ->
> ddb598ad156ed281023ba4eebbe487e3).
> Mar 15 01:54:12 at
> org.apache.flink.util.Preconditions.checkState(Preconditions.java:215)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveScheduler.assertPreconditions(AdaptiveScheduler.java:438)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveScheduler.(AdaptiveScheduler.java:356)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveSchedulerFactory.createInstance(AdaptiveSchedulerFactory.java:124)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.DefaultSlotPoolServiceSchedulerFactory.createScheduler(DefaultSlotPoolServiceSchedulerFactory.java:121)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.JobMaster.createScheduler(JobMaster.java:384)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.JobMaster.(JobMaster.java:361)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.factories.DefaultJobMasterServiceFactory.internalCreateJobMasterService(DefaultJobMasterServiceFactory.java:128)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.factories.DefaultJobMasterServiceFactory.lambda$createJobMasterService$0(DefaultJobMasterServiceFactory.java:100)
> Mar 15 01:54:12 at
> org.apache.flink.util.function.FunctionUtils.lambda$uncheckedSupplier$4(FunctionUtils.java:112)
> Mar 15 01:54:12 at
> java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1604)
> Mar 15 01:54:12 ... 4 more
> {code}
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[jira] [Commented] (FLINK-34718) KeyedPartitionWindowedStream and NonPartitionWindowedStream IllegalStateException in AZP
[
https://issues.apache.org/jira/browse/FLINK-34718?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17828011#comment-17828011
]
Wencong Liu commented on FLINK-34718:
-
Sure, I'll take a look now. [~mapohl]
> KeyedPartitionWindowedStream and NonPartitionWindowedStream
> IllegalStateException in AZP
>
>
> Key: FLINK-34718
> URL: https://issues.apache.org/jira/browse/FLINK-34718
> Project: Flink
> Issue Type: Bug
> Components: API / DataStream
>Affects Versions: 1.20.0
>Reporter: Ryan Skraba
>Priority: Critical
> Labels: test-stability
>
> [https://dev.azure.com/apache-flink/apache-flink/_build/results?buildId=58320&view=logs&j=8fd9202e-fd17-5b26-353c-ac1ff76c8f28&t=ea7cf968-e585-52cb-e0fc-f48de023a7ca&l=9646]
> 18 of the KeyedPartitionWindowedStreamITCase and
> NonKeyedPartitionWindowedStreamITCase unit tests introduced in FLINK-34543
> are failing in the adaptive scheduler profile, with errors similar to:
> {code:java}
> Mar 15 01:54:12 Caused by: java.lang.IllegalStateException: The adaptive
> scheduler supports pipelined data exchanges (violated by MapPartition
> (org.apache.flink.streaming.runtime.tasks.OneInputStreamTask) ->
> ddb598ad156ed281023ba4eebbe487e3).
> Mar 15 01:54:12 at
> org.apache.flink.util.Preconditions.checkState(Preconditions.java:215)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveScheduler.assertPreconditions(AdaptiveScheduler.java:438)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveScheduler.(AdaptiveScheduler.java:356)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveSchedulerFactory.createInstance(AdaptiveSchedulerFactory.java:124)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.DefaultSlotPoolServiceSchedulerFactory.createScheduler(DefaultSlotPoolServiceSchedulerFactory.java:121)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.JobMaster.createScheduler(JobMaster.java:384)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.JobMaster.(JobMaster.java:361)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.factories.DefaultJobMasterServiceFactory.internalCreateJobMasterService(DefaultJobMasterServiceFactory.java:128)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.factories.DefaultJobMasterServiceFactory.lambda$createJobMasterService$0(DefaultJobMasterServiceFactory.java:100)
> Mar 15 01:54:12 at
> org.apache.flink.util.function.FunctionUtils.lambda$uncheckedSupplier$4(FunctionUtils.java:112)
> Mar 15 01:54:12 at
> java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1604)
> Mar 15 01:54:12 ... 4 more
> {code}
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[jira] [Commented] (FLINK-34718) KeyedPartitionWindowedStream and NonPartitionWindowedStream IllegalStateException in AZP
[
https://issues.apache.org/jira/browse/FLINK-34718?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17828019#comment-17828019
]
Wencong Liu commented on FLINK-34718:
-
The newly introduced DataStream operators are designed based on the mechanism
of FLIP-331, which means that the ResultPartitionType for specific operators in
a streaming job can be BLOCKING. However, the AdaptiveScheduler mandates that
the ResultPartitionType for all operators must be PIPELINED, therefore, these
operators are not suitable to be executed under the configuration of the
AdaptiveScheduler. The default scheduler for IT tests is the
{_}DefaultScheduler{_}, and I'm curious as to why it would change to the
AdaptiveScheduler. 🤔 [~rskraba]
> KeyedPartitionWindowedStream and NonPartitionWindowedStream
> IllegalStateException in AZP
>
>
> Key: FLINK-34718
> URL: https://issues.apache.org/jira/browse/FLINK-34718
> Project: Flink
> Issue Type: Bug
> Components: API / DataStream
>Affects Versions: 1.20.0
>Reporter: Ryan Skraba
>Priority: Critical
> Labels: test-stability
>
> [https://dev.azure.com/apache-flink/apache-flink/_build/results?buildId=58320&view=logs&j=8fd9202e-fd17-5b26-353c-ac1ff76c8f28&t=ea7cf968-e585-52cb-e0fc-f48de023a7ca&l=9646]
> 18 of the KeyedPartitionWindowedStreamITCase and
> NonKeyedPartitionWindowedStreamITCase unit tests introduced in FLINK-34543
> are failing in the adaptive scheduler profile, with errors similar to:
> {code:java}
> Mar 15 01:54:12 Caused by: java.lang.IllegalStateException: The adaptive
> scheduler supports pipelined data exchanges (violated by MapPartition
> (org.apache.flink.streaming.runtime.tasks.OneInputStreamTask) ->
> ddb598ad156ed281023ba4eebbe487e3).
> Mar 15 01:54:12 at
> org.apache.flink.util.Preconditions.checkState(Preconditions.java:215)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveScheduler.assertPreconditions(AdaptiveScheduler.java:438)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveScheduler.(AdaptiveScheduler.java:356)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveSchedulerFactory.createInstance(AdaptiveSchedulerFactory.java:124)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.DefaultSlotPoolServiceSchedulerFactory.createScheduler(DefaultSlotPoolServiceSchedulerFactory.java:121)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.JobMaster.createScheduler(JobMaster.java:384)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.JobMaster.(JobMaster.java:361)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.factories.DefaultJobMasterServiceFactory.internalCreateJobMasterService(DefaultJobMasterServiceFactory.java:128)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.factories.DefaultJobMasterServiceFactory.lambda$createJobMasterService$0(DefaultJobMasterServiceFactory.java:100)
> Mar 15 01:54:12 at
> org.apache.flink.util.function.FunctionUtils.lambda$uncheckedSupplier$4(FunctionUtils.java:112)
> Mar 15 01:54:12 at
> java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1604)
> Mar 15 01:54:12 ... 4 more
> {code}
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[jira] [Commented] (FLINK-34718) KeyedPartitionWindowedStream and NonPartitionWindowedStream IllegalStateException in AZP
[
https://issues.apache.org/jira/browse/FLINK-34718?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17828348#comment-17828348
]
Ryan Skraba commented on FLINK-34718:
-
*
[https://dev.azure.com/apache-flink/apache-flink/_build/results?buildId=58398&view=logs&j=8fd9202e-fd17-5b26-353c-ac1ff76c8f28&t=ea7cf968-e585-52cb-e0fc-f48de023a7ca&l=9670]
> KeyedPartitionWindowedStream and NonPartitionWindowedStream
> IllegalStateException in AZP
>
>
> Key: FLINK-34718
> URL: https://issues.apache.org/jira/browse/FLINK-34718
> Project: Flink
> Issue Type: Bug
> Components: API / DataStream
>Affects Versions: 1.20.0
>Reporter: Ryan Skraba
>Priority: Critical
> Labels: test-stability
>
> [https://dev.azure.com/apache-flink/apache-flink/_build/results?buildId=58320&view=logs&j=8fd9202e-fd17-5b26-353c-ac1ff76c8f28&t=ea7cf968-e585-52cb-e0fc-f48de023a7ca&l=9646]
> 18 of the KeyedPartitionWindowedStreamITCase and
> NonKeyedPartitionWindowedStreamITCase unit tests introduced in FLINK-34543
> are failing in the adaptive scheduler profile, with errors similar to:
> {code:java}
> Mar 15 01:54:12 Caused by: java.lang.IllegalStateException: The adaptive
> scheduler supports pipelined data exchanges (violated by MapPartition
> (org.apache.flink.streaming.runtime.tasks.OneInputStreamTask) ->
> ddb598ad156ed281023ba4eebbe487e3).
> Mar 15 01:54:12 at
> org.apache.flink.util.Preconditions.checkState(Preconditions.java:215)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveScheduler.assertPreconditions(AdaptiveScheduler.java:438)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveScheduler.(AdaptiveScheduler.java:356)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveSchedulerFactory.createInstance(AdaptiveSchedulerFactory.java:124)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.DefaultSlotPoolServiceSchedulerFactory.createScheduler(DefaultSlotPoolServiceSchedulerFactory.java:121)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.JobMaster.createScheduler(JobMaster.java:384)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.JobMaster.(JobMaster.java:361)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.factories.DefaultJobMasterServiceFactory.internalCreateJobMasterService(DefaultJobMasterServiceFactory.java:128)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.factories.DefaultJobMasterServiceFactory.lambda$createJobMasterService$0(DefaultJobMasterServiceFactory.java:100)
> Mar 15 01:54:12 at
> org.apache.flink.util.function.FunctionUtils.lambda$uncheckedSupplier$4(FunctionUtils.java:112)
> Mar 15 01:54:12 at
> java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1604)
> Mar 15 01:54:12 ... 4 more
> {code}
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[jira] [Commented] (FLINK-34718) KeyedPartitionWindowedStream and NonPartitionWindowedStream IllegalStateException in AZP
[
https://issues.apache.org/jira/browse/FLINK-34718?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17828371#comment-17828371
]
Ryan Skraba commented on FLINK-34718:
-
I haven't been following FLIP-331 – if these operators are never appropriate
for the AdaptiveScheduler, then we should exclude them from that stage in the
pipeline. If I understand correctly, this is a relatively easy thing to do for
both Azure and GitHub actions. I'll take a look.
> KeyedPartitionWindowedStream and NonPartitionWindowedStream
> IllegalStateException in AZP
>
>
> Key: FLINK-34718
> URL: https://issues.apache.org/jira/browse/FLINK-34718
> Project: Flink
> Issue Type: Bug
> Components: API / DataStream
>Affects Versions: 1.20.0
>Reporter: Ryan Skraba
>Priority: Critical
> Labels: test-stability
>
> [https://dev.azure.com/apache-flink/apache-flink/_build/results?buildId=58320&view=logs&j=8fd9202e-fd17-5b26-353c-ac1ff76c8f28&t=ea7cf968-e585-52cb-e0fc-f48de023a7ca&l=9646]
> 18 of the KeyedPartitionWindowedStreamITCase and
> NonKeyedPartitionWindowedStreamITCase unit tests introduced in FLINK-34543
> are failing in the adaptive scheduler profile, with errors similar to:
> {code:java}
> Mar 15 01:54:12 Caused by: java.lang.IllegalStateException: The adaptive
> scheduler supports pipelined data exchanges (violated by MapPartition
> (org.apache.flink.streaming.runtime.tasks.OneInputStreamTask) ->
> ddb598ad156ed281023ba4eebbe487e3).
> Mar 15 01:54:12 at
> org.apache.flink.util.Preconditions.checkState(Preconditions.java:215)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveScheduler.assertPreconditions(AdaptiveScheduler.java:438)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveScheduler.(AdaptiveScheduler.java:356)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveSchedulerFactory.createInstance(AdaptiveSchedulerFactory.java:124)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.DefaultSlotPoolServiceSchedulerFactory.createScheduler(DefaultSlotPoolServiceSchedulerFactory.java:121)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.JobMaster.createScheduler(JobMaster.java:384)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.JobMaster.(JobMaster.java:361)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.factories.DefaultJobMasterServiceFactory.internalCreateJobMasterService(DefaultJobMasterServiceFactory.java:128)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.factories.DefaultJobMasterServiceFactory.lambda$createJobMasterService$0(DefaultJobMasterServiceFactory.java:100)
> Mar 15 01:54:12 at
> org.apache.flink.util.function.FunctionUtils.lambda$uncheckedSupplier$4(FunctionUtils.java:112)
> Mar 15 01:54:12 at
> java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1604)
> Mar 15 01:54:12 ... 4 more
> {code}
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[jira] [Commented] (FLINK-34718) KeyedPartitionWindowedStream and NonPartitionWindowedStream IllegalStateException in AZP
[
https://issues.apache.org/jira/browse/FLINK-34718?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17828931#comment-17828931
]
Ryan Skraba commented on FLINK-34718:
-
*
[https://dev.azure.com/apache-flink/apache-flink/_build/results?buildId=58429&view=logs&j=8fd9202e-fd17-5b26-353c-ac1ff76c8f28&t=ea7cf968-e585-52cb-e0fc-f48de023a7ca&l=9664]
(before the fix was committed to master)
> KeyedPartitionWindowedStream and NonPartitionWindowedStream
> IllegalStateException in AZP
>
>
> Key: FLINK-34718
> URL: https://issues.apache.org/jira/browse/FLINK-34718
> Project: Flink
> Issue Type: Bug
> Components: API / DataStream
>Affects Versions: 1.20.0
>Reporter: Ryan Skraba
>Assignee: Ryan Skraba
>Priority: Critical
> Labels: pull-request-available, test-stability
> Fix For: 1.20.0
>
>
> [https://dev.azure.com/apache-flink/apache-flink/_build/results?buildId=58320&view=logs&j=8fd9202e-fd17-5b26-353c-ac1ff76c8f28&t=ea7cf968-e585-52cb-e0fc-f48de023a7ca&l=9646]
> 18 of the KeyedPartitionWindowedStreamITCase and
> NonKeyedPartitionWindowedStreamITCase unit tests introduced in FLINK-34543
> are failing in the adaptive scheduler profile, with errors similar to:
> {code:java}
> Mar 15 01:54:12 Caused by: java.lang.IllegalStateException: The adaptive
> scheduler supports pipelined data exchanges (violated by MapPartition
> (org.apache.flink.streaming.runtime.tasks.OneInputStreamTask) ->
> ddb598ad156ed281023ba4eebbe487e3).
> Mar 15 01:54:12 at
> org.apache.flink.util.Preconditions.checkState(Preconditions.java:215)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveScheduler.assertPreconditions(AdaptiveScheduler.java:438)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveScheduler.(AdaptiveScheduler.java:356)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveSchedulerFactory.createInstance(AdaptiveSchedulerFactory.java:124)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.DefaultSlotPoolServiceSchedulerFactory.createScheduler(DefaultSlotPoolServiceSchedulerFactory.java:121)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.JobMaster.createScheduler(JobMaster.java:384)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.JobMaster.(JobMaster.java:361)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.factories.DefaultJobMasterServiceFactory.internalCreateJobMasterService(DefaultJobMasterServiceFactory.java:128)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.factories.DefaultJobMasterServiceFactory.lambda$createJobMasterService$0(DefaultJobMasterServiceFactory.java:100)
> Mar 15 01:54:12 at
> org.apache.flink.util.function.FunctionUtils.lambda$uncheckedSupplier$4(FunctionUtils.java:112)
> Mar 15 01:54:12 at
> java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1604)
> Mar 15 01:54:12 ... 4 more
> {code}
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[jira] [Commented] (FLINK-34718) KeyedPartitionWindowedStream and NonPartitionWindowedStream IllegalStateException in AZP
[
https://issues.apache.org/jira/browse/FLINK-34718?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17829484#comment-17829484
]
Matthias Pohl commented on FLINK-34718:
---
before the fix was committed to master:
*
https://github.com/apache/flink/actions/runs/8290287716/job/22688325865#step:10:9329
> KeyedPartitionWindowedStream and NonPartitionWindowedStream
> IllegalStateException in AZP
>
>
> Key: FLINK-34718
> URL: https://issues.apache.org/jira/browse/FLINK-34718
> Project: Flink
> Issue Type: Bug
> Components: API / DataStream
>Affects Versions: 1.20.0
>Reporter: Ryan Skraba
>Assignee: Ryan Skraba
>Priority: Critical
> Labels: pull-request-available, test-stability
> Fix For: 1.20.0
>
>
> [https://dev.azure.com/apache-flink/apache-flink/_build/results?buildId=58320&view=logs&j=8fd9202e-fd17-5b26-353c-ac1ff76c8f28&t=ea7cf968-e585-52cb-e0fc-f48de023a7ca&l=9646]
> 18 of the KeyedPartitionWindowedStreamITCase and
> NonKeyedPartitionWindowedStreamITCase unit tests introduced in FLINK-34543
> are failing in the adaptive scheduler profile, with errors similar to:
> {code:java}
> Mar 15 01:54:12 Caused by: java.lang.IllegalStateException: The adaptive
> scheduler supports pipelined data exchanges (violated by MapPartition
> (org.apache.flink.streaming.runtime.tasks.OneInputStreamTask) ->
> ddb598ad156ed281023ba4eebbe487e3).
> Mar 15 01:54:12 at
> org.apache.flink.util.Preconditions.checkState(Preconditions.java:215)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveScheduler.assertPreconditions(AdaptiveScheduler.java:438)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveScheduler.(AdaptiveScheduler.java:356)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.scheduler.adaptive.AdaptiveSchedulerFactory.createInstance(AdaptiveSchedulerFactory.java:124)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.DefaultSlotPoolServiceSchedulerFactory.createScheduler(DefaultSlotPoolServiceSchedulerFactory.java:121)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.JobMaster.createScheduler(JobMaster.java:384)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.JobMaster.(JobMaster.java:361)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.factories.DefaultJobMasterServiceFactory.internalCreateJobMasterService(DefaultJobMasterServiceFactory.java:128)
> Mar 15 01:54:12 at
> org.apache.flink.runtime.jobmaster.factories.DefaultJobMasterServiceFactory.lambda$createJobMasterService$0(DefaultJobMasterServiceFactory.java:100)
> Mar 15 01:54:12 at
> org.apache.flink.util.function.FunctionUtils.lambda$uncheckedSupplier$4(FunctionUtils.java:112)
> Mar 15 01:54:12 at
> java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1604)
> Mar 15 01:54:12 ... 4 more
> {code}
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