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https://issues.apache.org/jira/browse/SPARK-22174?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
zuotingbing closed SPARK-22174.
-------------------------------
> Support to automatically create the directory where the event logs go
> (`spark.eventLog.dir`)
> ---------------------------------------------------------------------------------------------
>
> Key: SPARK-22174
> URL: https://issues.apache.org/jira/browse/SPARK-22174
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.2.0
> Reporter: zuotingbing
> Priority: Minor
>
> {code:java}
> 2017-09-30 09:47:44,721 ERROR org.apache.spark.SparkContext: Error
> initializing SparkContext.
> java.io.FileNotFoundException: File file:/tmp/spark-events does not exist
> at
> org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus(RawLocalFileSystem.java:611)
> at
> org.apache.hadoop.fs.RawLocalFileSystem.getFileLinkStatusInternal(RawLocalFileSystem.java:824)
> at
> org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:601)
> at
> org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:421)
> at
> org.apache.spark.scheduler.EventLoggingListener.start(EventLoggingListener.scala:93)
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:516)
> at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2258)
> at
> org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:846)
> at
> org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:838)
> at scala.Option.getOrElse(Option.scala:121)
> at
> org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:838)
> at org.apache.spark.examples.SparkPi$.main(SparkPi.scala:31)
> at org.apache.spark.examples.SparkPi.main(SparkPi.scala)
> {code}
> Currently, if our applications are using event logging, the directory where
> the event logs go (`spark.eventLog.dir`) should be manually created.
> I suggest to create the event log directory automatically in source code,
> this will make spark more convenient to use.
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