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_r260918653
##########
File path: core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala
##########
@@ -374,6 +408,53 @@ private[spark] class SparkSubmit extends Logging {
localPyFiles = Option(args.pyFiles).map {
downloadFileList(_, targetDir, sparkConf, hadoopConf, secMgr)
}.orNull
+
+ if (isKubernetesClient &&
+ sparkConf.getBoolean("spark.kubernetes.submitInDriver", false)) {
+ // Replace with the downloaded local jar path to avoid propagating
hadoop compatible uris.
+ // Executors will get the jars from the Spark file server.
+ if (args.jars != null && localJars != null) {
+ args.jars = Utils.stringToSeq(args.jars).map {
+ jar => val jarUri = new URI(jar)
+ val path1 = {
Review comment:
Please use better names. This is not `path1`. This is a file name. Having
the variable name reflect that makes it easier to understand what this code is
doing.
You could even use `new Path(uri).getName()` to be even clearer.
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