[jira] [Updated] (FLINK-1493) Support for streaming jobs preserving global ordering of records

2022-02-10 Thread Flink Jira Bot (Jira)


 [ 
https://issues.apache.org/jira/browse/FLINK-1493?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Flink Jira Bot updated FLINK-1493:
--
  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.


> Support for streaming jobs preserving global ordering of records
> 
>
> Key: FLINK-1493
> URL: https://issues.apache.org/jira/browse/FLINK-1493
> Project: Flink
>  Issue Type: New Feature
>  Components: API / DataStream
>Reporter: Márton Balassi
>Priority: Not a Priority
>  Labels: auto-deprioritized-major, auto-deprioritized-minor
>
> Distributed streaming jobs do not give total, global ordering guarantees for 
> records only partial ordering is provided by the system: records travelling 
> on the same exact route of the physical plan are ordered, but they aren't 
> between routes.
> It turns out that although this feature can only be implemented via "merge 
> sorting" in the input buffers on a timestamp field thus creating substantial 
> latency is still desired for a number of applications.
> Just a heads up for the implementation: the sorting introduces back pressure 
> in the buffers and might cause deadlocks.



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[jira] [Updated] (FLINK-1493) Support for streaming jobs preserving global ordering of records

2021-12-31 Thread Flink Jira Bot (Jira)


 [ 
https://issues.apache.org/jira/browse/FLINK-1493?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Flink Jira Bot updated FLINK-1493:
--
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.


> Support for streaming jobs preserving global ordering of records
> 
>
> Key: FLINK-1493
> URL: https://issues.apache.org/jira/browse/FLINK-1493
> Project: Flink
>  Issue Type: New Feature
>  Components: API / DataStream
>Reporter: Márton Balassi
>Priority: Minor
>  Labels: auto-deprioritized-major, stale-minor
>
> Distributed streaming jobs do not give total, global ordering guarantees for 
> records only partial ordering is provided by the system: records travelling 
> on the same exact route of the physical plan are ordered, but they aren't 
> between routes.
> It turns out that although this feature can only be implemented via "merge 
> sorting" in the input buffers on a timestamp field thus creating substantial 
> latency is still desired for a number of applications.
> Just a heads up for the implementation: the sorting introduces back pressure 
> in the buffers and might cause deadlocks.



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[jira] [Updated] (FLINK-1493) Support for streaming jobs preserving global ordering of records

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


 [ 
https://issues.apache.org/jira/browse/FLINK-1493?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Flink Jira Bot updated FLINK-1493:
--
Labels: auto-deprioritized-major  (was: stale-major)

> Support for streaming jobs preserving global ordering of records
> 
>
> Key: FLINK-1493
> URL: https://issues.apache.org/jira/browse/FLINK-1493
> Project: Flink
>  Issue Type: New Feature
>  Components: API / DataStream
>Reporter: Márton Balassi
>Priority: Major
>  Labels: auto-deprioritized-major
>
> Distributed streaming jobs do not give total, global ordering guarantees for 
> records only partial ordering is provided by the system: records travelling 
> on the same exact route of the physical plan are ordered, but they aren't 
> between routes.
> It turns out that although this feature can only be implemented via "merge 
> sorting" in the input buffers on a timestamp field thus creating substantial 
> latency is still desired for a number of applications.
> Just a heads up for the implementation: the sorting introduces back pressure 
> in the buffers and might cause deadlocks.



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[jira] [Updated] (FLINK-1493) Support for streaming jobs preserving global ordering of records

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


 [ 
https://issues.apache.org/jira/browse/FLINK-1493?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Flink Jira Bot updated FLINK-1493:
--
Priority: Minor  (was: Major)

> Support for streaming jobs preserving global ordering of records
> 
>
> Key: FLINK-1493
> URL: https://issues.apache.org/jira/browse/FLINK-1493
> Project: Flink
>  Issue Type: New Feature
>  Components: API / DataStream
>Reporter: Márton Balassi
>Priority: Minor
>  Labels: auto-deprioritized-major
>
> Distributed streaming jobs do not give total, global ordering guarantees for 
> records only partial ordering is provided by the system: records travelling 
> on the same exact route of the physical plan are ordered, but they aren't 
> between routes.
> It turns out that although this feature can only be implemented via "merge 
> sorting" in the input buffers on a timestamp field thus creating substantial 
> latency is still desired for a number of applications.
> Just a heads up for the implementation: the sorting introduces back pressure 
> in the buffers and might cause deadlocks.



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[jira] [Updated] (FLINK-1493) Support for streaming jobs preserving global ordering of records

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


 [ 
https://issues.apache.org/jira/browse/FLINK-1493?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Flink Jira Bot updated FLINK-1493:
--
Labels: stale-major  (was: )

> Support for streaming jobs preserving global ordering of records
> 
>
> Key: FLINK-1493
> URL: https://issues.apache.org/jira/browse/FLINK-1493
> Project: Flink
>  Issue Type: New Feature
>  Components: API / DataStream
>Reporter: Márton Balassi
>Priority: Major
>  Labels: stale-major
>
> Distributed streaming jobs do not give total, global ordering guarantees for 
> records only partial ordering is provided by the system: records travelling 
> on the same exact route of the physical plan are ordered, but they aren't 
> between routes.
> It turns out that although this feature can only be implemented via "merge 
> sorting" in the input buffers on a timestamp field thus creating substantial 
> latency is still desired for a number of applications.
> Just a heads up for the implementation: the sorting introduces back pressure 
> in the buffers and might cause deadlocks.



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[jira] [Updated] (FLINK-1493) Support for streaming jobs preserving global ordering of records

2017-04-03 Thread Aljoscha Krettek (JIRA)

 [ 
https://issues.apache.org/jira/browse/FLINK-1493?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Aljoscha Krettek updated FLINK-1493:

Component/s: (was: Streaming)
 DataStream API

> Support for streaming jobs preserving global ordering of records
> 
>
> Key: FLINK-1493
> URL: https://issues.apache.org/jira/browse/FLINK-1493
> Project: Flink
>  Issue Type: New Feature
>  Components: DataStream API
>Reporter: Márton Balassi
>
> Distributed streaming jobs do not give total, global ordering guarantees for 
> records only partial ordering is provided by the system: records travelling 
> on the same exact route of the physical plan are ordered, but they aren't 
> between routes.
> It turns out that although this feature can only be implemented via "merge 
> sorting" in the input buffers on a timestamp field thus creating substantial 
> latency is still desired for a number of applications.
> Just a heads up for the implementation: the sorting introduces back pressure 
> in the buffers and might cause deadlocks.



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