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Posted to issues@spark.apache.org by "Devaraj K (JIRA)" <ji...@apache.org> on 2018/10/05 06:14:00 UTC

[jira] [Resolved] (SPARK-25645) Add provision to disable EventLoggingListener default flush/hsync/hflush for all events

     [ https://issues.apache.org/jira/browse/SPARK-25645?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Devaraj K resolved SPARK-25645.
-------------------------------
    Resolution: Duplicate

> Add provision to disable EventLoggingListener default flush/hsync/hflush for all events
> ---------------------------------------------------------------------------------------
>
>                 Key: SPARK-25645
>                 URL: https://issues.apache.org/jira/browse/SPARK-25645
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 2.3.2
>            Reporter: Devaraj K
>            Priority: Major
>
> {code:java|title=EventLoggingListener.scala|borderStyle=solid}
> private def logEvent(event: SparkListenerEvent, flushLogger: Boolean = false) {
>     val eventJson = JsonProtocol.sparkEventToJson(event)
>     // scalastyle:off println
>     writer.foreach(_.println(compact(render(eventJson))))
>     // scalastyle:on println
>     if (flushLogger) {
>       writer.foreach(_.flush())
>       hadoopDataStream.foreach(ds => ds.getWrappedStream match {
>         case wrapped: DFSOutputStream => wrapped.hsync(EnumSet.of(SyncFlag.UPDATE_LENGTH))
>         case _ => ds.hflush()
>       })
>     }
> {code}
> There are events which come with flushLogger=true and go through the underlying stream flush, Here I tried running apps with disabling the flush/hsync/hflush for all events and see that there is significant improvement in the app completion time and also there are no event drops, posting more details in the comments section.



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