[jira] [Updated] (YARN-4843) [Umbrella] Revisit YARN ProtocolBuffer int32 usages that need to upgrade to int64

2024-01-04 Thread Shilun Fan (Jira)


 [ 
https://issues.apache.org/jira/browse/YARN-4843?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Shilun Fan updated YARN-4843:
-
Target Version/s: 3.5.0  (was: 3.4.0)

> [Umbrella] Revisit YARN ProtocolBuffer int32 usages that need to upgrade to 
> int64
> -
>
> Key: YARN-4843
> URL: https://issues.apache.org/jira/browse/YARN-4843
> Project: Hadoop YARN
>  Issue Type: Bug
>  Components: api
>Affects Versions: 3.0.0-alpha1
>Reporter: Wangda Tan
>Priority: Major
>
> This JIRA is to track all int32 usages in YARN's ProtocolBuffer APIs that we 
> possibly need to update to int64.
> One example is resource API. We use int32 for memory now, if a cluster has 
> 10k nodes, each node has 210G memory, we will get a negative total cluster 
> memory.
> We may have other fields may need to upgrade from int32 to int64. 



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[jira] [Updated] (YARN-4843) [Umbrella] Revisit YARN ProtocolBuffer int32 usages that need to upgrade to int64

2020-04-09 Thread Brahma Reddy Battula (Jira)


 [ 
https://issues.apache.org/jira/browse/YARN-4843?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Brahma Reddy Battula updated YARN-4843:
---
Target Version/s: 3.4.0  (was: 3.3.0)

Bulk update: moved all 3.3.0 non-blocker issues, please move back if it is a 
blocker.

> [Umbrella] Revisit YARN ProtocolBuffer int32 usages that need to upgrade to 
> int64
> -
>
> Key: YARN-4843
> URL: https://issues.apache.org/jira/browse/YARN-4843
> Project: Hadoop YARN
>  Issue Type: Bug
>  Components: api
>Affects Versions: 3.0.0-alpha1
>Reporter: Wangda Tan
>Priority: Major
>
> This JIRA is to track all int32 usages in YARN's ProtocolBuffer APIs that we 
> possibly need to update to int64.
> One example is resource API. We use int32 for memory now, if a cluster has 
> 10k nodes, each node has 210G memory, we will get a negative total cluster 
> memory.
> We may have other fields may need to upgrade from int32 to int64. 



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[jira] [Updated] (YARN-4843) [Umbrella] Revisit YARN ProtocolBuffer int32 usages that need to upgrade to int64

2018-11-16 Thread Sunil Govindan (JIRA)


 [ 
https://issues.apache.org/jira/browse/YARN-4843?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Sunil Govindan updated YARN-4843:
-
Target Version/s: 3.3.0  (was: 3.2.0)

Bulk update: moved all 3.2.0 non-blocker issues, please move back if it is a 
blocker.

> [Umbrella] Revisit YARN ProtocolBuffer int32 usages that need to upgrade to 
> int64
> -
>
> Key: YARN-4843
> URL: https://issues.apache.org/jira/browse/YARN-4843
> Project: Hadoop YARN
>  Issue Type: Bug
>  Components: api
>Affects Versions: 3.0.0-alpha1
>Reporter: Wangda Tan
>Priority: Major
>
> This JIRA is to track all int32 usages in YARN's ProtocolBuffer APIs that we 
> possibly need to update to int64.
> One example is resource API. We use int32 for memory now, if a cluster has 
> 10k nodes, each node has 210G memory, we will get a negative total cluster 
> memory.
> We may have other fields may need to upgrade from int32 to int64. 



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[jira] [Updated] (YARN-4843) [Umbrella] Revisit YARN ProtocolBuffer int32 usages that need to upgrade to int64

2016-12-07 Thread Andrew Wang (JIRA)

 [ 
https://issues.apache.org/jira/browse/YARN-4843?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Andrew Wang updated YARN-4843:
--
Hadoop Flags:   (was: Incompatible change)

I'm also going to remove the "Incompatible" flag since we're trying to preserve 
wire compatibility between Hadoop 2 and Hadoop 3, and it seems like there are 
proposals to implement the other APIs compatibly.

> [Umbrella] Revisit YARN ProtocolBuffer int32 usages that need to upgrade to 
> int64
> -
>
> Key: YARN-4843
> URL: https://issues.apache.org/jira/browse/YARN-4843
> Project: Hadoop YARN
>  Issue Type: Bug
>  Components: api
>Affects Versions: 3.0.0-alpha1
>Reporter: Wangda Tan
>
> This JIRA is to track all int32 usages in YARN's ProtocolBuffer APIs that we 
> possibly need to update to int64.
> One example is resource API. We use int32 for memory now, if a cluster has 
> 10k nodes, each node has 210G memory, we will get a negative total cluster 
> memory.
> We may have other fields may need to upgrade from int32 to int64. 



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[jira] [Updated] (YARN-4843) [Umbrella] Revisit YARN ProtocolBuffer int32 usages that need to upgrade to int64

2016-12-07 Thread Wangda Tan (JIRA)

 [ 
https://issues.apache.org/jira/browse/YARN-4843?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Wangda Tan updated YARN-4843:
-
Priority: Major  (was: Critical)

> [Umbrella] Revisit YARN ProtocolBuffer int32 usages that need to upgrade to 
> int64
> -
>
> Key: YARN-4843
> URL: https://issues.apache.org/jira/browse/YARN-4843
> Project: Hadoop YARN
>  Issue Type: Bug
>  Components: api
>Affects Versions: 3.0.0-alpha1
>Reporter: Wangda Tan
>
> This JIRA is to track all int32 usages in YARN's ProtocolBuffer APIs that we 
> possibly need to update to int64.
> One example is resource API. We use int32 for memory now, if a cluster has 
> 10k nodes, each node has 210G memory, we will get a negative total cluster 
> memory.
> We may have other fields may need to upgrade from int32 to int64. 



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[jira] [Updated] (YARN-4843) [Umbrella] Revisit YARN ProtocolBuffer int32 usages that need to upgrade to int64

2016-10-17 Thread Andrew Wang (JIRA)

 [ 
https://issues.apache.org/jira/browse/YARN-4843?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Andrew Wang updated YARN-4843:
--
Priority: Critical  (was: Major)

> [Umbrella] Revisit YARN ProtocolBuffer int32 usages that need to upgrade to 
> int64
> -
>
> Key: YARN-4843
> URL: https://issues.apache.org/jira/browse/YARN-4843
> Project: Hadoop YARN
>  Issue Type: Bug
>  Components: api
>Affects Versions: 3.0.0-alpha1
>Reporter: Wangda Tan
>Priority: Critical
>
> This JIRA is to track all int32 usages in YARN's ProtocolBuffer APIs that we 
> possibly need to update to int64.
> One example is resource API. We use int32 for memory now, if a cluster has 
> 10k nodes, each node has 210G memory, we will get a negative total cluster 
> memory.
> We may have other fields may need to upgrade from int32 to int64. 



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[jira] [Updated] (YARN-4843) [Umbrella] Revisit YARN ProtocolBuffer int32 usages that need to upgrade to int64

2016-10-17 Thread Andrew Wang (JIRA)

 [ 
https://issues.apache.org/jira/browse/YARN-4843?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Andrew Wang updated YARN-4843:
--
Affects Version/s: 3.0.0-alpha1
 Target Version/s: 3.0.0-alpha2  (was: )

Hi folks, looks like there are still some more subtasks here. Do we think we 
can get them done for alpha2?

> [Umbrella] Revisit YARN ProtocolBuffer int32 usages that need to upgrade to 
> int64
> -
>
> Key: YARN-4843
> URL: https://issues.apache.org/jira/browse/YARN-4843
> Project: Hadoop YARN
>  Issue Type: Bug
>  Components: api
>Affects Versions: 3.0.0-alpha1
>Reporter: Wangda Tan
>
> This JIRA is to track all int32 usages in YARN's ProtocolBuffer APIs that we 
> possibly need to update to int64.
> One example is resource API. We use int32 for memory now, if a cluster has 
> 10k nodes, each node has 210G memory, we will get a negative total cluster 
> memory.
> We may have other fields may need to upgrade from int32 to int64. 



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[jira] [Updated] (YARN-4843) [Umbrella] Revisit YARN ProtocolBuffer int32 usages that need to upgrade to int64

2016-03-21 Thread Karthik Kambatla (JIRA)

 [ 
https://issues.apache.org/jira/browse/YARN-4843?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Karthik Kambatla updated YARN-4843:
---
Hadoop Flags: Incompatible change

> [Umbrella] Revisit YARN ProtocolBuffer int32 usages that need to upgrade to 
> int64
> -
>
> Key: YARN-4843
> URL: https://issues.apache.org/jira/browse/YARN-4843
> Project: Hadoop YARN
>  Issue Type: Bug
>  Components: api
>Reporter: Wangda Tan
>
> This JIRA is to track all int32 usages in YARN's ProtocolBuffer APIs that we 
> possibly need to update to int64.
> One example is resource API. We use int32 for memory now, if a cluster has 
> 10k nodes, each node has 210G memory, we will get a negative total cluster 
> memory.
> We may have other fields may need to upgrade from int32 to int64. 



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[jira] [Updated] (YARN-4843) [Umbrella] Revisit YARN ProtocolBuffer int32 usages that need to upgrade to int64

2016-03-21 Thread Karthik Kambatla (JIRA)

 [ 
https://issues.apache.org/jira/browse/YARN-4843?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Karthik Kambatla updated YARN-4843:
---
Target Version/s: 3.0.0

> [Umbrella] Revisit YARN ProtocolBuffer int32 usages that need to upgrade to 
> int64
> -
>
> Key: YARN-4843
> URL: https://issues.apache.org/jira/browse/YARN-4843
> Project: Hadoop YARN
>  Issue Type: Bug
>  Components: api
>Reporter: Wangda Tan
>
> This JIRA is to track all int32 usages in YARN's ProtocolBuffer APIs that we 
> possibly need to update to int64.
> One example is resource API. We use int32 for memory now, if a cluster has 
> 10k nodes, each node has 210G memory, we will get a negative total cluster 
> memory.
> We may have other fields may need to upgrade from int32 to int64. 



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