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[GitHub] [flink] tillrohrmann closed pull request #15093: [FLINK-21401] Consolidate JobGraph generation to properly instantiate streaming and batch JobGraphs

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[jira] [Closed] (FLINK-21401) Tests that manually build a JobGraph cannot use DeclarativeScheduler

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[GitHub] [flink] xintongsong closed pull request #15094: [FLINK-21633][coordination] Index pending task managers in TaskManage…

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[jira] [Closed] (FLINK-21633) Index pending task managers in TaskManagerTracker

[ https://issues.apache.org/jira/browse/FLINK-21633?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xintong Song closed FLINK-21633. Resolution: Done Merged via * master (1.13): c84cd999688dac1459d56a271fe88052cbb80ab4 > Index pen

[GitHub] [flink] xintongsong commented on pull request #15058: [FLINK-21419][coordination] Remove GC cleaner mechanism for unsafe memory segments

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[jira] [Closed] (FLINK-21419) Remove GC cleaner mechanism for unsafe memory segments

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[jira] [Assigned] (FLINK-21306) FlinkSecurityManager might avoid fatal system exits

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[jira] [Updated] (FLINK-21641) Support 'useModules' and 'listFullModules' in PyFlink

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[jira] [Created] (FLINK-21641) Support 'useModules' and 'listModules' in PyFlink

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[GitHub] [flink] LadyForest opened a new pull request #15101: [FLINK-21641][python] Support 'useModules' and 'listFullModules' in PyFlink

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[jira] [Updated] (FLINK-21641) Support 'useModules' and 'listFullModules' in PyFlink

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[jira] [Created] (FLINK-21642) RequestReplyFunction recovery fails with a remote SDK

Igal Shilman created FLINK-21642: Summary: RequestReplyFunction recovery fails with a remote SDK Key: FLINK-21642 URL: https://issues.apache.org/jira/browse/FLINK-21642 Project: Flink Issue T

[GitHub] [flink-statefun] igalshilman opened a new pull request #208: [FLINK-21642] Make a retry batch on recovery

igalshilman opened a new pull request #208: URL: https://github.com/apache/flink-statefun/pull/208 According to the request-reply protocol, on recovery we re-send the uncompleted (in-flight during failure) messages. But we shouldn't assume that the state definitions are the same as

[jira] [Updated] (FLINK-21642) RequestReplyFunction recovery fails with a remote SDK

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[jira] [Created] (FLINK-21643) JDBC sink should be able to execute statements on multiple tables

Maciej Obuchowski created FLINK-21643: - Summary: JDBC sink should be able to execute statements on multiple tables Key: FLINK-21643 URL: https://issues.apache.org/jira/browse/FLINK-21643 Project:

[jira] [Commented] (FLINK-21643) JDBC sink should be able to execute statements on multiple tables

[ https://issues.apache.org/jira/browse/FLINK-21643?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17296685#comment-17296685 ] Maciej Obuchowski commented on FLINK-21643: --- As I already have solution (worki

[GitHub] [flink] mobuchowski opened a new pull request #15102: draft: [FLINK-21643] [connectors/jdbc] Provide DynamicJdbcStatementExecutor

mobuchowski opened a new pull request #15102: URL: https://github.com/apache/flink/pull/15102 ## What is the purpose of the change Currently datastream JDBC sink supports outputting data only to one table - by having to provide SQL template, from which SimpleBatchStatementExecuto

[jira] [Comment Edited] (FLINK-21643) JDBC sink should be able to execute statements on multiple tables

[ https://issues.apache.org/jira/browse/FLINK-21643?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17296685#comment-17296685 ] Maciej Obuchowski edited comment on FLINK-21643 at 3/7/21, 1:45 AM: --

[jira] [Updated] (FLINK-21643) JDBC sink should be able to execute statements on multiple tables

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[GitHub] [flink] godfreyhe closed pull request #15062: [FLINK-21549][table-planner-blink] Support json serialization/deserialization for the push-down result of DynamicTableSource and DynamicTableSink

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[jira] [Closed] (FLINK-21549) Support json serialization/deserialization for the push-down result of DynamicTableSource and DynamicTableSink

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[jira] [Commented] (FLINK-20654) Unaligned checkpoint recovery may lead to corrupted data stream

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[jira] [Commented] (FLINK-19449) LEAD/LAG cannot work correctly in streaming mode

[ https://issues.apache.org/jira/browse/FLINK-19449?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17296775#comment-17296775 ] laiyijie commented on FLINK-19449: -- Support LAG firstly is a good idea. I think LAG is

[GitHub] [flink] flinkbot edited a comment on pull request #15018: [FLINK-21460][table api] Use Configuration to create TableEnvironment

flinkbot edited a comment on pull request #15018: URL: https://github.com/apache/flink/pull/15018#issuecomment-785717193 ## CI report: * 217893622a4159abd857431a46268a8a651cc6f2 Azure: [FAILURE](https://dev.azure.com/apache-flink/98463496-1af2-4620-8eab-a2ecc1a2e6fe/_build/result

[GitHub] [flink] flinkbot edited a comment on pull request #15018: [FLINK-21460][table api] Use Configuration to create TableEnvironment

flinkbot edited a comment on pull request #15018: URL: https://github.com/apache/flink/pull/15018#issuecomment-785717193 ## CI report: * 217893622a4159abd857431a46268a8a651cc6f2 Azure: [FAILURE](https://dev.azure.com/apache-flink/98463496-1af2-4620-8eab-a2ecc1a2e6fe/_build/result