[jira] [Updated] (FLINK-7913) Add support for Kafka default partitioner

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


 [ 
https://issues.apache.org/jira/browse/FLINK-7913?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Flink Jira Bot updated FLINK-7913:
--
  Labels: auto-deprioritized-major auto-deprioritized-minor auto-unassigned 
 (was: auto-deprioritized-major auto-unassigned 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.


> Add support for Kafka default partitioner
> -
>
> Key: FLINK-7913
> URL: https://issues.apache.org/jira/browse/FLINK-7913
> Project: Flink
>  Issue Type: Improvement
>  Components: Connectors / Kafka
>Affects Versions: 1.4.0
>Reporter: Konstantin Lalafaryan
>Priority: Not a Priority
>  Labels: auto-deprioritized-major, auto-deprioritized-minor, 
> auto-unassigned
>
> Currently in the Apache Flink it is available only *FlinkKafkaPartitioner* 
> and just one implementation *FlinkFixedPartitioner*. 
> In order to be able to use Kafka's default partitioner you have to create new 
> implementation for *FlinkKafkaPartitioner* and fork the code from the Kafka. 
> It will be really good to be able to define the partitioner without 
> implementing the new class.
> Thanks.



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[jira] [Updated] (FLINK-7913) Add support for Kafka default partitioner

2021-12-22 Thread Flink Jira Bot (Jira)


 [ 
https://issues.apache.org/jira/browse/FLINK-7913?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Flink Jira Bot updated FLINK-7913:
--
Labels: auto-deprioritized-major auto-unassigned stale-minor  (was: 
auto-deprioritized-major auto-unassigned)

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.


> Add support for Kafka default partitioner
> -
>
> Key: FLINK-7913
> URL: https://issues.apache.org/jira/browse/FLINK-7913
> Project: Flink
>  Issue Type: Improvement
>  Components: Connectors / Kafka
>Affects Versions: 1.4.0
>Reporter: Konstantin Lalafaryan
>Priority: Minor
>  Labels: auto-deprioritized-major, auto-unassigned, stale-minor
>
> Currently in the Apache Flink it is available only *FlinkKafkaPartitioner* 
> and just one implementation *FlinkFixedPartitioner*. 
> In order to be able to use Kafka's default partitioner you have to create new 
> implementation for *FlinkKafkaPartitioner* and fork the code from the Kafka. 
> It will be really good to be able to define the partitioner without 
> implementing the new class.
> Thanks.



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[jira] [Updated] (FLINK-7913) Add support for Kafka default partitioner

2021-06-23 Thread Flink Jira Bot (Jira)


 [ 
https://issues.apache.org/jira/browse/FLINK-7913?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Flink Jira Bot updated FLINK-7913:
--
  Labels: auto-deprioritized-major auto-unassigned  (was: auto-unassigned 
stale-major)
Priority: Minor  (was: Major)

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


> Add support for Kafka default partitioner
> -
>
> Key: FLINK-7913
> URL: https://issues.apache.org/jira/browse/FLINK-7913
> Project: Flink
>  Issue Type: Improvement
>  Components: Connectors / Kafka
>Affects Versions: 1.4.0
>Reporter: Konstantin Lalafaryan
>Priority: Minor
>  Labels: auto-deprioritized-major, auto-unassigned
>
> Currently in the Apache Flink it is available only *FlinkKafkaPartitioner* 
> and just one implementation *FlinkFixedPartitioner*. 
> In order to be able to use Kafka's default partitioner you have to create new 
> implementation for *FlinkKafkaPartitioner* and fork the code from the Kafka. 
> It will be really good to be able to define the partitioner without 
> implementing the new class.
> Thanks.



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[jira] [Updated] (FLINK-7913) Add support for Kafka default partitioner

2021-06-14 Thread Flink Jira Bot (Jira)


 [ 
https://issues.apache.org/jira/browse/FLINK-7913?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Flink Jira Bot updated FLINK-7913:
--
Labels: auto-unassigned stale-major  (was: auto-unassigned)

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 
Major but is unassigned and neither itself nor its Sub-Tasks have been updated 
for 30 days. I have gone ahead and added a "stale-major" to the issue". If this 
ticket is a Major, please either assign yourself or give an update. Afterwards, 
please remove the label or in 7 days the issue will be deprioritized.


> Add support for Kafka default partitioner
> -
>
> Key: FLINK-7913
> URL: https://issues.apache.org/jira/browse/FLINK-7913
> Project: Flink
>  Issue Type: Improvement
>  Components: Connectors / Kafka
>Affects Versions: 1.4.0
>Reporter: Konstantin Lalafaryan
>Priority: Major
>  Labels: auto-unassigned, stale-major
>
> Currently in the Apache Flink it is available only *FlinkKafkaPartitioner* 
> and just one implementation *FlinkFixedPartitioner*. 
> In order to be able to use Kafka's default partitioner you have to create new 
> implementation for *FlinkKafkaPartitioner* and fork the code from the Kafka. 
> It will be really good to be able to define the partitioner without 
> implementing the new class.
> Thanks.



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[jira] [Updated] (FLINK-7913) Add support for Kafka default partitioner

2021-04-27 Thread Flink Jira Bot (Jira)


 [ 
https://issues.apache.org/jira/browse/FLINK-7913?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Flink Jira Bot updated FLINK-7913:
--
Labels: auto-unassigned  (was: stale-assigned)

> Add support for Kafka default partitioner
> -
>
> Key: FLINK-7913
> URL: https://issues.apache.org/jira/browse/FLINK-7913
> Project: Flink
>  Issue Type: Improvement
>  Components: Connectors / Kafka
>Affects Versions: 1.4.0
>Reporter: Konstantin Lalafaryan
>Assignee: Konstantin Lalafaryan
>Priority: Major
>  Labels: auto-unassigned
>
> Currently in the Apache Flink it is available only *FlinkKafkaPartitioner* 
> and just one implementation *FlinkFixedPartitioner*. 
> In order to be able to use Kafka's default partitioner you have to create new 
> implementation for *FlinkKafkaPartitioner* and fork the code from the Kafka. 
> It will be really good to be able to define the partitioner without 
> implementing the new class.
> Thanks.



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[jira] [Updated] (FLINK-7913) Add support for Kafka default partitioner

2021-04-16 Thread Flink Jira Bot (Jira)


 [ 
https://issues.apache.org/jira/browse/FLINK-7913?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Flink Jira Bot updated FLINK-7913:
--
Labels: stale-assigned  (was: )

> Add support for Kafka default partitioner
> -
>
> Key: FLINK-7913
> URL: https://issues.apache.org/jira/browse/FLINK-7913
> Project: Flink
>  Issue Type: Improvement
>  Components: Connectors / Kafka
>Affects Versions: 1.4.0
>Reporter: Konstantin Lalafaryan
>Assignee: Konstantin Lalafaryan
>Priority: Major
>  Labels: stale-assigned
>
> Currently in the Apache Flink it is available only *FlinkKafkaPartitioner* 
> and just one implementation *FlinkFixedPartitioner*. 
> In order to be able to use Kafka's default partitioner you have to create new 
> implementation for *FlinkKafkaPartitioner* and fork the code from the Kafka. 
> It will be really good to be able to define the partitioner without 
> implementing the new class.
> Thanks.



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[jira] [Updated] (FLINK-7913) Add support for Kafka default partitioner

2018-05-07 Thread Aljoscha Krettek (JIRA)

 [ 
https://issues.apache.org/jira/browse/FLINK-7913?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Aljoscha Krettek updated FLINK-7913:

Fix Version/s: (was: 1.6.0)

> Add support for Kafka default partitioner
> -
>
> Key: FLINK-7913
> URL: https://issues.apache.org/jira/browse/FLINK-7913
> Project: Flink
>  Issue Type: Improvement
>  Components: Kafka Connector
>Affects Versions: 1.4.0
>Reporter: Konstantin Lalafaryan
>Assignee: Konstantin Lalafaryan
>Priority: Major
>
> Currently in the Apache Flink it is available only *FlinkKafkaPartitioner* 
> and just one implementation *FlinkFixedPartitioner*. 
> In order to be able to use Kafka's default partitioner you have to create new 
> implementation for *FlinkKafkaPartitioner* and fork the code from the Kafka. 
> It will be really good to be able to define the partitioner without 
> implementing the new class.
> Thanks.



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[jira] [Updated] (FLINK-7913) Add support for Kafka default partitioner

2018-05-07 Thread Aljoscha Krettek (JIRA)

 [ 
https://issues.apache.org/jira/browse/FLINK-7913?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Aljoscha Krettek updated FLINK-7913:

Priority: Major  (was: Blocker)

> Add support for Kafka default partitioner
> -
>
> Key: FLINK-7913
> URL: https://issues.apache.org/jira/browse/FLINK-7913
> Project: Flink
>  Issue Type: Improvement
>  Components: Kafka Connector
>Affects Versions: 1.4.0
>Reporter: Konstantin Lalafaryan
>Assignee: Konstantin Lalafaryan
>Priority: Major
>
> Currently in the Apache Flink it is available only *FlinkKafkaPartitioner* 
> and just one implementation *FlinkFixedPartitioner*. 
> In order to be able to use Kafka's default partitioner you have to create new 
> implementation for *FlinkKafkaPartitioner* and fork the code from the Kafka. 
> It will be really good to be able to define the partitioner without 
> implementing the new class.
> Thanks.



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[jira] [Updated] (FLINK-7913) Add support for Kafka default partitioner

2018-03-01 Thread Tzu-Li (Gordon) Tai (JIRA)

 [ 
https://issues.apache.org/jira/browse/FLINK-7913?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Tzu-Li (Gordon) Tai updated FLINK-7913:
---
Fix Version/s: (was: 1.5.0)
   1.6.0

> Add support for Kafka default partitioner
> -
>
> Key: FLINK-7913
> URL: https://issues.apache.org/jira/browse/FLINK-7913
> Project: Flink
>  Issue Type: Improvement
>  Components: Kafka Connector
>Affects Versions: 1.4.0
>Reporter: Konstantin Lalafaryan
>Assignee: Konstantin Lalafaryan
>Priority: Blocker
> Fix For: 1.6.0
>
>
> Currently in the Apache Flink it is available only *FlinkKafkaPartitioner* 
> and just one implementation *FlinkFixedPartitioner*. 
> In order to be able to use Kafka's default partitioner you have to create new 
> implementation for *FlinkKafkaPartitioner* and fork the code from the Kafka. 
> It will be really good to be able to define the partitioner without 
> implementing the new class.
> Thanks.



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[jira] [Updated] (FLINK-7913) Add support for Kafka default partitioner

2017-12-11 Thread Tzu-Li (Gordon) Tai (JIRA)

 [ 
https://issues.apache.org/jira/browse/FLINK-7913?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Tzu-Li (Gordon) Tai updated FLINK-7913:
---
Priority: Blocker  (was: Major)

> Add support for Kafka default partitioner
> -
>
> Key: FLINK-7913
> URL: https://issues.apache.org/jira/browse/FLINK-7913
> Project: Flink
>  Issue Type: Improvement
>  Components: Kafka Connector
>Affects Versions: 1.4.0
>Reporter: Konstantin Lalafaryan
>Assignee: Konstantin Lalafaryan
>Priority: Blocker
> Fix For: 1.5.0
>
>
> Currently in the Apache Flink it is available only *FlinkKafkaPartitioner* 
> and just one implementation *FlinkFixedPartitioner*. 
> In order to be able to use Kafka's default partitioner you have to create new 
> implementation for *FlinkKafkaPartitioner* and fork the code from the Kafka. 
> It will be really good to be able to define the partitioner without 
> implementing the new class.
> Thanks.



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[jira] [Updated] (FLINK-7913) Add support for Kafka default partitioner

2017-10-30 Thread Robert Metzger (JIRA)

 [ 
https://issues.apache.org/jira/browse/FLINK-7913?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Robert Metzger updated FLINK-7913:
--
Component/s: Kafka Connector

> Add support for Kafka default partitioner
> -
>
> Key: FLINK-7913
> URL: https://issues.apache.org/jira/browse/FLINK-7913
> Project: Flink
>  Issue Type: Improvement
>  Components: Kafka Connector
>Affects Versions: 1.4.0
>Reporter: Konstantin Lalafaryan
>Assignee: Konstantin Lalafaryan
> Fix For: 1.5.0
>
>
> Currently in the Apache Flink it is available only *FlinkKafkaPartitioner* 
> and just one implementation *FlinkFixedPartitioner*. 
> In order to be able to use Kafka's default partitioner you have to create new 
> implementation for *FlinkKafkaPartitioner* and fork the code from the Kafka. 
> It will be really good to be able to define the partitioner without 
> implementing the new class.
> Thanks.



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[jira] [Updated] (FLINK-7913) Add support for Kafka default partitioner

2017-10-25 Thread Konstantin Lalafaryan (JIRA)

 [ 
https://issues.apache.org/jira/browse/FLINK-7913?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Konstantin Lalafaryan updated FLINK-7913:
-
Description: 
Currently in the Apache Flink it is available only *FlinkKafkaPartitioner* and 
just one implementation *FlinkFixedPartitioner*. 
In order to be able to use Kafka's default partitioner you have to create new 
implementation for *FlinkKafkaPartitioner* and fork the code from the Kafka. It 
will be really good to be able to define the partitioner without implementing 
the new class.
Thanks.

  was:
Currently in the Apache Flink it is available only *FlinkKafkaPartitioner* and 
just one implementation *FlinkFixedPartitioner*. 
I think it will be really good to allow to use the Kafka's default partitioner. 
Currently the only way that you can do it to implement the 
*FlinkKafkaPartitioner* and fork the source from the kafka.
Thanks.


> Add support for Kafka default partitioner
> -
>
> Key: FLINK-7913
> URL: https://issues.apache.org/jira/browse/FLINK-7913
> Project: Flink
>  Issue Type: Improvement
>Affects Versions: 1.4.0
>Reporter: Konstantin Lalafaryan
>Assignee: Konstantin Lalafaryan
> Fix For: 1.5.0
>
>
> Currently in the Apache Flink it is available only *FlinkKafkaPartitioner* 
> and just one implementation *FlinkFixedPartitioner*. 
> In order to be able to use Kafka's default partitioner you have to create new 
> implementation for *FlinkKafkaPartitioner* and fork the code from the Kafka. 
> It will be really good to be able to define the partitioner without 
> implementing the new class.
> Thanks.



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[jira] [Updated] (FLINK-7913) Add support for Kafka default partitioner

2017-10-25 Thread Konstantin Lalafaryan (JIRA)

 [ 
https://issues.apache.org/jira/browse/FLINK-7913?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Konstantin Lalafaryan updated FLINK-7913:
-
Description: 
Currently in the Apache Flink it is available only *FlinkKafkaPartitioner* and 
just one implementation *FlinkFixedPartitioner*. 
I think it will be really good to allow to use the Kafka's default partitioner. 
Currently the only way that you can do it to implement the 
*FlinkKafkaPartitioner* and fork the source from the kafka.
Thanks.

  was:
Currently in the Apache Flink it is available only `FlinkKafkaPartitioner` and 
just one implementation `FlinkFixedPartitioner`. 
I think it will be really good to allow to use the Kafka's default partitioner. 
Currently the only way that you can do it to implement the 
`FlinkKafkaPartitioner` and fork the source from the kafka.
Thanks.


> Add support for Kafka default partitioner
> -
>
> Key: FLINK-7913
> URL: https://issues.apache.org/jira/browse/FLINK-7913
> Project: Flink
>  Issue Type: Improvement
>Affects Versions: 1.4.0
>Reporter: Konstantin Lalafaryan
>Assignee: Konstantin Lalafaryan
> Fix For: 1.5.0
>
>
> Currently in the Apache Flink it is available only *FlinkKafkaPartitioner* 
> and just one implementation *FlinkFixedPartitioner*. 
> I think it will be really good to allow to use the Kafka's default 
> partitioner. Currently the only way that you can do it to implement the 
> *FlinkKafkaPartitioner* and fork the source from the kafka.
> Thanks.



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[jira] [Updated] (FLINK-7913) Add support for Kafka default partitioner

2017-10-25 Thread Konstantin Lalafaryan (JIRA)

 [ 
https://issues.apache.org/jira/browse/FLINK-7913?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Konstantin Lalafaryan updated FLINK-7913:
-
Affects Version/s: 1.4.0

> Add support for Kafka default partitioner
> -
>
> Key: FLINK-7913
> URL: https://issues.apache.org/jira/browse/FLINK-7913
> Project: Flink
>  Issue Type: Improvement
>Affects Versions: 1.4.0
>Reporter: Konstantin Lalafaryan
>Assignee: Konstantin Lalafaryan
> Fix For: 1.5.0
>
>
> Currently in the Apache Flink it is available only `FlinkKafkaPartitioner` 
> and just one implementation `FlinkFixedPartitioner`. 
> I think it will be really good to allow to use the Kafka's default 
> partitioner. Currently the only way that you can do it to implement the 
> `FlinkKafkaPartitioner` and fork the source from the kafka.
> Thanks.



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[jira] [Updated] (FLINK-7913) Add support for Kafka default partitioner

2017-10-25 Thread Konstantin Lalafaryan (JIRA)

 [ 
https://issues.apache.org/jira/browse/FLINK-7913?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Konstantin Lalafaryan updated FLINK-7913:
-
Fix Version/s: 1.5.0

> Add support for Kafka default partitioner
> -
>
> Key: FLINK-7913
> URL: https://issues.apache.org/jira/browse/FLINK-7913
> Project: Flink
>  Issue Type: Improvement
>Affects Versions: 1.4.0
>Reporter: Konstantin Lalafaryan
>Assignee: Konstantin Lalafaryan
> Fix For: 1.5.0
>
>
> Currently in the Apache Flink it is available only `FlinkKafkaPartitioner` 
> and just one implementation `FlinkFixedPartitioner`. 
> I think it will be really good to allow to use the Kafka's default 
> partitioner. Currently the only way that you can do it to implement the 
> `FlinkKafkaPartitioner` and fork the source from the kafka.
> Thanks.



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