[ https://issues.apache.org/jira/browse/SPARK-21917?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-21917: ------------------------------------ Assignee: Apache Spark > 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 > Assignee: Apache Spark > 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. -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org