vanzin commented on a change in pull request #23546: [SPARK-23153][K8s] Support
client dependencies with a Hadoop Compatible File System
URL: https://github.com/apache/spark/pull/23546#discussion_r261325831
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File path: core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala
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@@ -353,10 +371,26 @@ private[spark] class SparkSubmit extends Logging {
}
// Resolve glob path for different resources.
- args.jars = Option(args.jars).map(resolveGlobPaths(_, hadoopConf)).orNull
- args.files = Option(args.files).map(resolveGlobPaths(_, hadoopConf)).orNull
- args.pyFiles = Option(args.pyFiles).map(resolveGlobPaths(_,
hadoopConf)).orNull
- args.archives = Option(args.archives).map(resolveGlobPaths(_,
hadoopConf)).orNull
+ if (isKubernetesCluster) {
+ // Skip dependencies we will handle at the K8s backend.
Review comment:
> we have uris for files targeting the fs in the driver container and at the
machine where the submission was done in cluster mode
That has existed in Spark forever.
- file: URIs (or no scheme): refers to launcher file system
- local: URIs: refers to the local file system of containers
You shouldn't add another one.
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