Devaraj K created SPARK-25645:
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Summary: 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
{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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