[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
]
Shilun Fan updated YARN-10503:
--
Affects Version/s: 3.3.1
3.4.0
> 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
> Components: gpu
>Affects Versions: 3.4.0, 3.3.1
>Reporter: Qi Zhu
>Assignee: Qi Zhu
>Priority: Critical
> Labels: pull-request-available
> Fix For: 3.4.0, 3.3.1, 3.2.4
>
> Attachments: YARN-10503-branch-3.3.010.patch, 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, YARN-10503.010.patch
>
> Time Spent: 1h
> Remaining Estimate: 0h
>
> 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
]
Shilun Fan updated YARN-10503:
--
Component/s: gpu
> 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
> Components: gpu
>Reporter: Qi Zhu
>Assignee: Qi Zhu
>Priority: Critical
> Labels: pull-request-available
> Fix For: 3.4.0, 3.3.1, 3.2.4
>
> Attachments: YARN-10503-branch-3.3.010.patch, 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, YARN-10503.010.patch
>
> Time Spent: 1h
> Remaining Estimate: 0h
>
> 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
]
Szilard Nemeth updated YARN-10503:
--
Fix Version/s: 3.2.4
> 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
> Labels: pull-request-available
> Fix For: 3.4.0, 3.3.1, 3.2.4
>
> Attachments: YARN-10503-branch-3.3.010.patch, 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, YARN-10503.010.patch
>
> Time Spent: 1h
> Remaining Estimate: 0h
>
> 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
]
ASF GitHub Bot updated YARN-10503:
--
Labels: pull-request-available (was: )
> 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
> Labels: pull-request-available
> Fix For: 3.4.0, 3.3.1
>
> Attachments: YARN-10503-branch-3.3.010.patch, 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, YARN-10503.010.patch
>
> Time Spent: 10m
> Remaining Estimate: 0h
>
> 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
]
Eric Badger updated YARN-10503:
---
Fix Version/s: 3.3.1
Thanks for the patch, [~zhuqi]. +1 committed to branch-3.3. This has now been
committed to trunk (3.4) and branch-3.3.
> 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
> Fix For: 3.4.0, 3.3.1
>
> Attachments: YARN-10503-branch-3.3.010.patch, 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, YARN-10503.010.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-branch-3.3.010.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
> Fix For: 3.4.0
>
> Attachments: YARN-10503-branch-3.3.010.patch, 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, YARN-10503.010.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
]
Eric Badger updated YARN-10503:
---
Fix Version/s: 3.4.0
Thanks for the updates, [~zhuqi]. +1 on patch 10. And thanks for the reviews,
[~gandras] and [~pbacsko]. I've committed this to trunk (3.4)
[~zhuqi], there is a conflict on the cherry-pick back to branch-3.3. It looks
like a fairly trivial fix. Could you make the necessary adjustments and put up
a patch for branch-3.3?
> 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
> Fix For: 3.4.0
>
> 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, YARN-10503.010.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-10503.010.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, YARN-10503.010.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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[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-10503.008.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
>
>
> 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-10503.007.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
>
>
> 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-10503.006.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
>
>
> 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-10503.005.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
>
>
> 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-10503.004.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
>
>
> 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:
--
Summary: Support queue capacity in terms of absolute resources with custom
resourceType. (was: Support queue capacity in terms of absolute resources with
gpu resourceType.)
> 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
>
>
> 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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