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Xuzhou Yin edited comment on SPARK-23153 at 9/1/20, 7:33 AM: ------------------------------------------------------------- Hi guys, I have looked through the pull request of this change, and there is one part which I don't quite understand, 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,] Spark filters out all paths which are not local (ie. no scheme or [file://|file:///] scheme). Does it mean it will 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 an expected behavior? If so, how should we do if we want to specify dependencies which are in HCFS such as S3, or driver's local (ie. local://) instead of file://? If this is a bug, is there a Jira issue for it? Thanks a lot! was (Author: xuzhoyin): 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 -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org