[jira] [Updated] (FLINK-20368) Supports custom operator name for Flink SQL

2021-11-08 Thread Flink Jira Bot (Jira)


 [ 
https://issues.apache.org/jira/browse/FLINK-20368?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Flink Jira Bot updated FLINK-20368:
---
  Labels: auto-deprioritized-major auto-deprioritized-minor  (was: 
auto-deprioritized-major stale-minor)
Priority: Not a Priority  (was: Minor)

This issue was labeled "stale-minor" 7 days ago and has not received any 
updates so it is being deprioritized. If this ticket is actually Minor, please 
raise the priority and ask a committer to assign you the issue or revive the 
public discussion.


> Supports custom operator name for Flink SQL
> ---
>
> Key: FLINK-20368
> URL: https://issues.apache.org/jira/browse/FLINK-20368
> Project: Flink
>  Issue Type: Improvement
>  Components: Table SQL / API
>Affects Versions: 1.12.0
>Reporter: Danny Chen
>Priority: Not a Priority
>  Labels: auto-deprioritized-major, auto-deprioritized-minor
>
> A request from USER mailing list from Kevin Kwon:
> For SQLs, I know that the operator ID assignment is not possible now since 
> the query optimizer may not be backward compatible in each release
> But are DDLs also affected by this?
> for example,
> CREATE TABLE mytable (
>   id BIGINT,
>   data STRING
> ) with (
>   connector = 'kafka'
>   ...
>   id = 'mytable'
>   name = 'mytable'
> )
> and we can save all related checkpoint data



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[jira] [Updated] (FLINK-20368) Supports custom operator name for Flink SQL

2021-10-30 Thread Flink Jira Bot (Jira)


 [ 
https://issues.apache.org/jira/browse/FLINK-20368?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Flink Jira Bot updated FLINK-20368:
---
Labels: auto-deprioritized-major stale-minor  (was: 
auto-deprioritized-major)

I am the [Flink Jira Bot|https://github.com/apache/flink-jira-bot/] and I help 
the community manage its development. I see this issues has been marked as 
Minor but is unassigned and neither itself nor its Sub-Tasks have been updated 
for 180 days. I have gone ahead and marked it "stale-minor". If this ticket is 
still Minor, please either assign yourself or give an update. Afterwards, 
please remove the label or in 7 days the issue will be deprioritized.


> Supports custom operator name for Flink SQL
> ---
>
> Key: FLINK-20368
> URL: https://issues.apache.org/jira/browse/FLINK-20368
> Project: Flink
>  Issue Type: Improvement
>  Components: Table SQL / API
>Affects Versions: 1.12.0
>Reporter: Danny Chen
>Priority: Minor
>  Labels: auto-deprioritized-major, stale-minor
>
> A request from USER mailing list from Kevin Kwon:
> For SQLs, I know that the operator ID assignment is not possible now since 
> the query optimizer may not be backward compatible in each release
> But are DDLs also affected by this?
> for example,
> CREATE TABLE mytable (
>   id BIGINT,
>   data STRING
> ) with (
>   connector = 'kafka'
>   ...
>   id = 'mytable'
>   name = 'mytable'
> )
> and we can save all related checkpoint data



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[jira] [Updated] (FLINK-20368) Supports custom operator name for Flink SQL

2021-04-29 Thread Flink Jira Bot (Jira)


 [ 
https://issues.apache.org/jira/browse/FLINK-20368?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Flink Jira Bot updated FLINK-20368:
---
Priority: Minor  (was: Major)

> Supports custom operator name for Flink SQL
> ---
>
> Key: FLINK-20368
> URL: https://issues.apache.org/jira/browse/FLINK-20368
> Project: Flink
>  Issue Type: Improvement
>  Components: Table SQL / API
>Affects Versions: 1.12.0
>Reporter: Danny Chen
>Priority: Minor
>  Labels: auto-deprioritized-major
>
> A request from USER mailing list from Kevin Kwon:
> For SQLs, I know that the operator ID assignment is not possible now since 
> the query optimizer may not be backward compatible in each release
> But are DDLs also affected by this?
> for example,
> CREATE TABLE mytable (
>   id BIGINT,
>   data STRING
> ) with (
>   connector = 'kafka'
>   ...
>   id = 'mytable'
>   name = 'mytable'
> )
> and we can save all related checkpoint data



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[jira] [Updated] (FLINK-20368) Supports custom operator name for Flink SQL

2021-04-29 Thread Flink Jira Bot (Jira)


 [ 
https://issues.apache.org/jira/browse/FLINK-20368?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Flink Jira Bot updated FLINK-20368:
---
Labels: auto-deprioritized-major  (was: stale-major)

> Supports custom operator name for Flink SQL
> ---
>
> Key: FLINK-20368
> URL: https://issues.apache.org/jira/browse/FLINK-20368
> Project: Flink
>  Issue Type: Improvement
>  Components: Table SQL / API
>Affects Versions: 1.12.0
>Reporter: Danny Chen
>Priority: Major
>  Labels: auto-deprioritized-major
>
> A request from USER mailing list from Kevin Kwon:
> For SQLs, I know that the operator ID assignment is not possible now since 
> the query optimizer may not be backward compatible in each release
> But are DDLs also affected by this?
> for example,
> CREATE TABLE mytable (
>   id BIGINT,
>   data STRING
> ) with (
>   connector = 'kafka'
>   ...
>   id = 'mytable'
>   name = 'mytable'
> )
> and we can save all related checkpoint data



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[jira] [Updated] (FLINK-20368) Supports custom operator name for Flink SQL

2021-04-22 Thread Flink Jira Bot (Jira)


 [ 
https://issues.apache.org/jira/browse/FLINK-20368?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Flink Jira Bot updated FLINK-20368:
---
Labels: stale-major  (was: )

> Supports custom operator name for Flink SQL
> ---
>
> Key: FLINK-20368
> URL: https://issues.apache.org/jira/browse/FLINK-20368
> Project: Flink
>  Issue Type: Improvement
>  Components: Table SQL / API
>Affects Versions: 1.12.0
>Reporter: Danny Chen
>Priority: Major
>  Labels: stale-major
>
> A request from USER mailing list from Kevin Kwon:
> For SQLs, I know that the operator ID assignment is not possible now since 
> the query optimizer may not be backward compatible in each release
> But are DDLs also affected by this?
> for example,
> CREATE TABLE mytable (
>   id BIGINT,
>   data STRING
> ) with (
>   connector = 'kafka'
>   ...
>   id = 'mytable'
>   name = 'mytable'
> )
> and we can save all related checkpoint data



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