[ https://issues.apache.org/jira/browse/SPARK-16547?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-16547: ------------------------------------ Assignee: Apache Spark > EventLoggingListener to auto create log base dir if it does not exist > --------------------------------------------------------------------- > > Key: SPARK-16547 > URL: https://issues.apache.org/jira/browse/SPARK-16547 > Project: Spark > Issue Type: Improvement > Components: Scheduler, Spark Core > Affects Versions: 1.6.2 > Reporter: Tejas Patil > Assignee: Apache Spark > Priority: Trivial > > When the HDFS namenode gets changed or replaced, one has to manually create > the `spark.eventLog.dir` dir. Spark could instead auto-create that directory > if its not present saving one manual step. > {noformat} > 16/07/05 19:38:35 ERROR SparkContext: Error initializing SparkContext. > java.io.FileNotFoundException: File does not exist: > hdfs://XXXXX/YYYYY/spark/logs > at > org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:894) > at > org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:407) > at > org.apache.spark.scheduler.EventLoggingListener.start(EventLoggingListener.scala:100) > at org.apache.spark.SparkContext.<init>(SparkContext.scala:551) > at > org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:1017) > at $line3.$read$$iwC$$iwC.<init>(<console>:15) > at $line3.$read$$iwC.<init>(<console>:25) > at $line3.$read.<init>(<console>:27) > at $line3.$read$.<init>(<console>:31) > at $line3.$read$.<clinit>(<console>) > at $line3.$eval$.<init>(<console>:7) > at $line3.$eval$.<clinit>(<console>) > at $line3.$eval.$print(<console>) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:497) > at > org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065) > at > org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346) > at > org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840) > at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871) > at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819) > at > org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857) > at > org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902) > at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814) > at > org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:125) > at > org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:124) > at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:324) > at > org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:124) > at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64) > at > org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:974) > at > org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:167) > at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64) > at > org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:108) > at > org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:64) > at > org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:991) > at > org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945) > at > org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945) > at > scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135) > at > org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945) > at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059) > at org.apache.spark.repl.Main$.main(Main.scala:31) > at org.apache.spark.repl.Main.main(Main.scala) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:497) > at > org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:737) > at > org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:182) > at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:207) > at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:122) > at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) > {noformat} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org