Details
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Umbrella
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Status: Resolved
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Major
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Resolution: Fixed
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3.4.0
Description
Since Apache Spark 3.3.1, we have been supported the customized K8s scheduler via SPARK-36057. This issue aims to announce GA of the customized K8s schedulers in Apache Spark 3.4.0.
Attachments
Issue Links
- relates to
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SPARK-36057 SPIP: Support Customized Kubernetes Schedulers
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- Resolved
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1.
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Update YuniKorn documentation with v1.2 |
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Resolved | Dongjoon Hyun |
2.
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Remove ARM limitation for YuniKorn from docs |
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Resolved | Wilfred Spiegelenburg |
3.
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Upgrade Volcano to 1.7.0 |
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Resolved | Dongjoon Hyun |
4.
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Remove `experimental` from Volcano docs |
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Resolved | Dongjoon Hyun |
5.
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Enable Volcano unit tests and integration tests in GitHub Action |
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Resolved | Dongjoon Hyun |
6.
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Make K8s volcano IT work in Github Action |
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Resolved | Yikun Jiang |
7.
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Use Java 17 in K8s Dockerfile by default and remove `Dockerfile.java17` |
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Resolved | Dongjoon Hyun |
8.
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Upgrade the minimum Minikube version to 1.28.0 |
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Resolved | Dongjoon Hyun |
9.
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Upgrade `kubernetes-client` to 6.4.0 |
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Resolved | Dongjoon Hyun |
10.
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Upgrade `kubernetes-client` to 6.3.1 |
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Resolved | Dongjoon Hyun |
11.
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Bump Kubernetes Client Version to 6.1.1 |
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Resolved | Attila Zsolt Piros |
12.
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Support driver service labels |
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Resolved | Shiqi Sun |