You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Tejas Patil (JIRA)" <ji...@apache.org> on 2016/07/14 15:51:20 UTC
[jira] [Updated] (SPARK-16547) EventLoggingListener to auto create
log base dir if it does not exist
[ https://issues.apache.org/jira/browse/SPARK-16547?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Tejas Patil updated SPARK-16547:
--------------------------------
Description:
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}
> 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
> 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-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org