[jira] [Updated] (YARN-10707) Support custom resources in ResourceUtilization, and update Node GPU Utilization to use.
[ https://issues.apache.org/jira/browse/YARN-10707?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Qi Zhu updated YARN-10707: -- Attachment: YARN-10707.006.patch > Support custom resources in ResourceUtilization, and update Node GPU > Utilization to use. > > > Key: YARN-10707 > URL: https://issues.apache.org/jira/browse/YARN-10707 > Project: Hadoop YARN > Issue Type: Sub-task > Components: yarn >Reporter: Qi Zhu >Assignee: Qi Zhu >Priority: Major > Attachments: YARN-10707.001.patch, YARN-10707.002.patch, > YARN-10707.003.patch, YARN-10707.004.patch, YARN-10707.005.patch, > YARN-10707.006.patch > > > Support gpu in ResourceUtilization, and update Node GPU Utilization to use > first. > It will be very helpful for other use cases about GPU utilization. -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: yarn-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: yarn-issues-h...@hadoop.apache.org
[jira] [Commented] (YARN-10707) Support custom resources in ResourceUtilization, and update Node GPU Utilization to use.
[
https://issues.apache.org/jira/browse/YARN-10707?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17310080#comment-17310080
]
Hadoop QA commented on YARN-10707:
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[jira] [Commented] (YARN-10718) Fix CapacityScheduler#initScheduler log error.
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https://issues.apache.org/jira/browse/YARN-10718?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17310070#comment-17310070
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Hadoop QA commented on YARN-10718:
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[jira] [Commented] (YARN-10718) Fix CapacityScheduler#initScheduler log error.
[ https://issues.apache.org/jira/browse/YARN-10718?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17309983#comment-17309983 ] Qi Zhu commented on YARN-10718: --- [~pbacsko] [~gandras] [~ebadger] Fixed an obvious log error in this jira. Could you help review this when you are free. Thanks. > Fix CapacityScheduler#initScheduler log error. > --- > > Key: YARN-10718 > URL: https://issues.apache.org/jira/browse/YARN-10718 > Project: Hadoop YARN > Issue Type: Bug >Reporter: Qi Zhu >Assignee: Qi Zhu >Priority: Major > Attachments: YARN-10718.001.patch, image-2021-03-28-00-03-28-244.png > > > !image-2021-03-28-00-03-28-244.png|width=972,height=52! > The Resource toString() method already with "<" and ">" string, it's wrong > to add it again. > > -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: yarn-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: yarn-issues-h...@hadoop.apache.org
[jira] [Created] (YARN-10718) Fix CapacityScheduler#initScheduler log error.
Qi Zhu created YARN-10718: - Summary: Fix CapacityScheduler#initScheduler log error. Key: YARN-10718 URL: https://issues.apache.org/jira/browse/YARN-10718 Project: Hadoop YARN Issue Type: Bug Reporter: Qi Zhu Assignee: Qi Zhu Attachments: image-2021-03-28-00-03-28-244.png !image-2021-03-28-00-03-28-244.png|width=972,height=52! The Resource toString() method already with "<" and ">" string, it's wrong to add it again. -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: yarn-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: yarn-issues-h...@hadoop.apache.org
[jira] [Updated] (YARN-10707) Support custom resources in ResourceUtilization, and update Node GPU Utilization to use.
[ https://issues.apache.org/jira/browse/YARN-10707?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Qi Zhu updated YARN-10707: -- Attachment: YARN-10707.005.patch > Support custom resources in ResourceUtilization, and update Node GPU > Utilization to use. > > > Key: YARN-10707 > URL: https://issues.apache.org/jira/browse/YARN-10707 > Project: Hadoop YARN > Issue Type: Sub-task > Components: yarn >Reporter: Qi Zhu >Assignee: Qi Zhu >Priority: Major > Attachments: YARN-10707.001.patch, YARN-10707.002.patch, > YARN-10707.003.patch, YARN-10707.004.patch, YARN-10707.005.patch > > > Support gpu in ResourceUtilization, and update Node GPU Utilization to use > first. > It will be very helpful for other use cases about GPU utilization. -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: yarn-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: yarn-issues-h...@hadoop.apache.org
[jira] [Commented] (YARN-10707) Support custom resources in ResourceUtilization, and update Node GPU Utilization to use.
[ https://issues.apache.org/jira/browse/YARN-10707?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17309955#comment-17309955 ] Qi Zhu commented on YARN-10707: --- Fixed checkstyle and test error in latest patch. > Support custom resources in ResourceUtilization, and update Node GPU > Utilization to use. > > > Key: YARN-10707 > URL: https://issues.apache.org/jira/browse/YARN-10707 > Project: Hadoop YARN > Issue Type: Sub-task > Components: yarn >Reporter: Qi Zhu >Assignee: Qi Zhu >Priority: Major > Attachments: YARN-10707.001.patch, YARN-10707.002.patch, > YARN-10707.003.patch, YARN-10707.004.patch, YARN-10707.005.patch > > > Support gpu in ResourceUtilization, and update Node GPU Utilization to use > first. > It will be very helpful for other use cases about GPU utilization. -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: yarn-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: yarn-issues-h...@hadoop.apache.org
[jira] [Commented] (YARN-10503) Support queue capacity in terms of absolute resources with custom resourceType.
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https://issues.apache.org/jira/browse/YARN-10503?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17309925#comment-17309925
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Hadoop QA commented on YARN-10503:
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[jira] [Commented] (YARN-10503) Support queue capacity in terms of absolute resources with custom resourceType.
[
https://issues.apache.org/jira/browse/YARN-10503?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17309897#comment-17309897
]
Qi Zhu commented on YARN-10503:
---
Fixed the mistake in latest patch.
> Support queue capacity in terms of absolute resources with custom
> resourceType.
> ---
>
> Key: YARN-10503
> URL: https://issues.apache.org/jira/browse/YARN-10503
> Project: Hadoop YARN
> Issue Type: Sub-task
>Reporter: Qi Zhu
>Assignee: Qi Zhu
>Priority: Critical
> Attachments: YARN-10503.001.patch, YARN-10503.002.patch,
> YARN-10503.003.patch, YARN-10503.004.patch, YARN-10503.005.patch,
> YARN-10503.006.patch, YARN-10503.007.patch, YARN-10503.008.patch,
> YARN-10503.009.patch
>
>
> Now the absolute resources are memory and cores.
> {code:java}
> /**
> * Different resource types supported.
> */
> public enum AbsoluteResourceType {
> MEMORY, VCORES;
> }{code}
> But in our GPU production clusters, we need to support more resourceTypes.
> It's very import for cluster scaling when with different resourceType
> absolute demands.
>
> This Jira will handle GPU first.
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[jira] [Updated] (YARN-10503) Support queue capacity in terms of absolute resources with custom resourceType.
[
https://issues.apache.org/jira/browse/YARN-10503?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Qi Zhu updated YARN-10503:
--
Attachment: YARN-10503.009.patch
> Support queue capacity in terms of absolute resources with custom
> resourceType.
> ---
>
> Key: YARN-10503
> URL: https://issues.apache.org/jira/browse/YARN-10503
> Project: Hadoop YARN
> Issue Type: Sub-task
>Reporter: Qi Zhu
>Assignee: Qi Zhu
>Priority: Critical
> Attachments: YARN-10503.001.patch, YARN-10503.002.patch,
> YARN-10503.003.patch, YARN-10503.004.patch, YARN-10503.005.patch,
> YARN-10503.006.patch, YARN-10503.007.patch, YARN-10503.008.patch,
> YARN-10503.009.patch
>
>
> Now the absolute resources are memory and cores.
> {code:java}
> /**
> * Different resource types supported.
> */
> public enum AbsoluteResourceType {
> MEMORY, VCORES;
> }{code}
> But in our GPU production clusters, we need to support more resourceTypes.
> It's very import for cluster scaling when with different resourceType
> absolute demands.
>
> This Jira will handle GPU first.
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