[jira] [Resolved] (SPARK-26685) Building Spark Images with latest Docker does not honour spark_uid build argument

["Marcelo Vanzin (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-26685?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Marcelo Vanzin resolved SPARK-26685.
------------------------------------
       Resolution: Fixed
    Fix Version/s: 3.0.0

Issue resolved by pull request 23611
[https://github.com/apache/spark/pull/23611]

> Building Spark Images with latest Docker does not honour spark_uid build argument
> ---------------------------------------------------------------------------------
>
>                 Key: SPARK-26685
>                 URL: https://issues.apache.org/jira/browse/SPARK-26685
>             Project: Spark
>          Issue Type: Improvement
>          Components: Kubernetes
>    Affects Versions: 2.4.0
>            Reporter: Rob Vesse
>            Assignee: Rob Vesse
>            Priority: Major
>             Fix For: 3.0.0
>
>
> Latest Docker releases are stricter in their interpretation of the scope of build arguments meaning the location of the {{ARG spark_uid}} declaration puts it out of scope by the time the variable is consumed resulting in the Python and R images still running as {{root}} regardless of what the user may have specified as the desired UID.
> e.g. Images built with {{-u 456}} provided to {{bin/docker-image-tool.sh}}
> {noformat}
> > docker run -it --entrypoint /bin/bash rvesse/spark-py:uid456
> bash-4.4# whoami
> root
> bash-4.4# id -u
> 0
> bash-4.4# exit
> > docker run -it --entrypoint /bin/bash rvesse/spark:uid456
> bash-4.4$ id -u
> 456
> bash-4.4$ exit
> {noformat}
> Note that for the Python image the build argument was out of scope and ignored.  For the base image the {{ARG}} declaration is in an in-scope location and so is honoured correctly.



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