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https://issues.apache.org/jira/browse/SPARK-23153?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17188222#comment-17188222
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Xuzhou Yin commented on SPARK-23153:
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Hi guys,
I have looked through the pull request of this change, and does not quite
understand one part, it would be awesome if someone can explain it a little bit.
At this line:
[https://github.com/apache/spark/blob/master/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/features/BasicDriverFeatureStep.scala#L161,]
it filters out all paths which are not local (ie. no scheme or file://
scheme). Does it ignore all other paths which are not local? For example, when
starting a Spark job with
spark.jars=local:///local/path/1.jar,s3:///s3/path/2.jar,file:///local/path/3.jar,
it seems like this logic will upload file:///local/path/3.jar to s3, and reset
spark.jars to only s3://upload/path/3.jar, while completely ignoring
local:///local/path/1.jar and s3:///s3/path/2.jar.
Is this expected behavior? If so, how should we do if we want to specify
dependencies which are in HCFS such as S3 instead of local? If this is a bug,
is there a Jira issue for it?
Thanks a lot!
> Support application dependencies in submission client's local file system
> -------------------------------------------------------------------------
>
> Key: SPARK-23153
> URL: https://issues.apache.org/jira/browse/SPARK-23153
> Project: Spark
> Issue Type: Improvement
> Components: Kubernetes, Spark Core
> Affects Versions: 2.4.0
> Reporter: Yinan Li
> Assignee: Stavros Kontopoulos
> Priority: Major
> Fix For: 3.0.0
>
>
> Currently local dependencies are not supported with Spark on K8S i.e. if the
> user has code or dependencies only on the client where they run
> {{spark-submit}} then the current implementation has no way to make those
> visible to the Spark application running inside the K8S pods that get
> launched. This limits users to only running applications where the code and
> dependencies are either baked into the Docker images used or where those are
> available via some external and globally accessible file system e.g. HDFS
> which are not viable options for many users and environments
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