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https://issues.apache.org/jira/browse/SPARK-39522?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17558067#comment-17558067
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Yikun Jiang commented on SPARK-39522:
-------------------------------------

I have some questions here, the cache seems to just reduce the build time 
(docker build), and the current infra uses static sha images (docker run/pull), 
so in theory there won't be any improvement.

So, what you mean is that we want to migrate 
dongjoon-hyun/ApacheSparkGitHubActionImage to apache/spark, and then in each 
pyspark workflow, do a full docker build in every pr triggered job, and speed 
it up by caching?

> Uses Docker image cache over a custom image
> -------------------------------------------
>
>                 Key: SPARK-39522
>                 URL: https://issues.apache.org/jira/browse/SPARK-39522
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Project Infra
>    Affects Versions: 3.4.0
>            Reporter: Hyukjin Kwon
>            Priority: Major
>
> We should probably replace the base image 
> (https://github.com/apache/spark/blob/master/.github/workflows/build_and_test.yml#L302,
>  https://github.com/dongjoon-hyun/ApacheSparkGitHubActionImage) to plain 
> ubunto image w/ Docker image cache. See also 
> https://github.com/docker/build-push-action/blob/master/docs/advanced/cache.md



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