[jira] [Created] (SPARK-21917) Remote http(s) resources is not supported in YARN mode

["Saisai Shao (JIRA)" <ji...@apache.org>]

Saisai Shao created SPARK-21917:
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             Summary: Remote http(s) resources is not supported in YARN mode
                 Key: SPARK-21917
                 URL: https://issues.apache.org/jira/browse/SPARK-21917
             Project: Spark
          Issue Type: Bug
          Components: Spark Submit, YARN
    Affects Versions: 2.2.0
            Reporter: Saisai Shao
            Priority: Minor


In the current Spark, when submitting application on YARN with remote resources {{./bin/spark-shell --jars http://central.maven.org/maven2/com/github/swagger-akka-http/swagger-akka-http_2.11/0.10.1/swagger-akka-http_2.11-0.10.1.jar --master yarn-client -v}}, Spark will be failed with:

{noformat}
java.io.IOException: No FileSystem for scheme: http
	at org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2586)
	at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2593)
	at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:91)
	at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2632)
	at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2614)
	at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:370)
	at org.apache.hadoop.fs.Path.getFileSystem(Path.java:296)
	at org.apache.spark.deploy.yarn.Client.copyFileToRemote(Client.scala:354)
	at org.apache.spark.deploy.yarn.Client.org$apache$spark$deploy$yarn$Client$$distribute$1(Client.scala:478)
	at org.apache.spark.deploy.yarn.Client$$anonfun$prepareLocalResources$11$$anonfun$apply$6.apply(Client.scala:600)
	at org.apache.spark.deploy.yarn.Client$$anonfun$prepareLocalResources$11$$anonfun$apply$6.apply(Client.scala:599)
	at scala.collection.mutable.ArraySeq.foreach(ArraySeq.scala:74)
	at org.apache.spark.deploy.yarn.Client$$anonfun$prepareLocalResources$11.apply(Client.scala:599)
	at org.apache.spark.deploy.yarn.Client$$anonfun$prepareLocalResources$11.apply(Client.scala:598)
	at scala.collection.immutable.List.foreach(List.scala:381)
	at org.apache.spark.deploy.yarn.Client.prepareLocalResources(Client.scala:598)
	at org.apache.spark.deploy.yarn.Client.createContainerLaunchContext(Client.scala:848)
	at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:173)
{noformat}

This is because {{YARN#client}} assumes resources must be on the Hadoop compatible FS, also in the NM (https://github.com/apache/hadoop/blob/99e558b13ba4d5832aea97374e1d07b4e78e5e39/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/localizer/ContainerLocalizer.java#L245) it will only use Hadoop compatible FS to download resources. So this makes Spark on YARN fail to support remote http(s) resources.

To solve this problem, there might be several options:

* Download remote http(s) resources to local and add this local downloaded resources to dist cache. The downside of this option is that remote resources will be uploaded again unnecessarily.

* Filter remote http(s) resources and add them with spark.jars or spark.files, to leverage Spark's internal fileserver to distribute remote http(s) resources. The problem of this solution is: for some resources which require to be available before application start may not work.

* Leverage Hadoop's support http(s) file system (https://issues.apache.org/jira/browse/HADOOP-14383). This is only worked in Hadoop 2.9+, and I think even we implement a similar one in Spark will not be worked.



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