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https://issues.apache.org/jira/browse/YUNIKORN-2170?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17788801#comment-17788801
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Peter Bacsko commented on YUNIKORN-2170:
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I propose the same for the compressed Spark tarball.
> e2e test setup takes a lot of time
> ----------------------------------
>
> Key: YUNIKORN-2170
> URL: https://issues.apache.org/jira/browse/YUNIKORN-2170
> Project: Apache YuniKorn
> Issue Type: Improvement
> Components: test - e2e
> Reporter: Peter Bacsko
> Assignee: Kuan-Po Tseng
> Priority: Major
> Labels: pull-request-available
>
> Setting up e2e test takes significant amount of time.
> For example:
> https://github.com/apache/yunikorn-k8shim/actions/runs/6927721705/job/18842345746?pr=730
> The whole run took 1h 18min.
> e2e tests: 34min.
> Downloading Spark: 40min.
> {noformat}
> Mon, 20 Nov 2023 09:06:35 GMT installing shellcheck v0.9.0
> Mon, 20 Nov 2023 09:06:35 GMT installing golangci-lint v1.54.2
> Mon, 20 Nov 2023 09:06:36 GMT installing kubectl v1.27.7
> Mon, 20 Nov 2023 09:06:36 GMT installing kind v0.20.0
> Mon, 20 Nov 2023 09:06:36 GMT installing helm v3.12.1
> Mon, 20 Nov 2023 09:06:37 GMT installing spark 3.3.1
> Mon, 20 Nov 2023 09:45:48 GMT Cloning into './build/yunikorn-release'...
> Mon, 20 Nov 2023 09:45:48 GMT step 3/7: building docker images from latest
> code
> {noformat}
> Options:
> * Use a different mirror if there's any or set up one
> * Take advantage of Github caching:
> https://docs.github.com/en/actions/using-workflows/caching-dependencies-to-speed-up-workflows
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