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https://issues.apache.org/jira/browse/SPARK-27852?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-27852:
------------------------------------
Assignee: (was: Apache Spark)
> One updateBytesWritten operaton may be missed in DiskBlockObjectWriter.scala
> ----------------------------------------------------------------------------
>
> Key: SPARK-27852
> URL: https://issues.apache.org/jira/browse/SPARK-27852
> Project: Spark
> Issue Type: Question
> Components: Spark Core
> Affects Versions: 2.4.3
> Reporter: Shuaiqi Ge
> Priority: Major
>
> In *_DiskBlockObjectWriter.scala_*, there are 2 overload *_write_*
> functions, the first of which executes _*updateBytesWritten*_ function while
> the other doesn't. I think writeMetrics should record all the information
> about writing operations, some data of which will be displayed in the Spark
> jobs UI such as the data size of shuffle read and shuffle write.
> {code:java}
> def write(key: Any, value: Any) {
> if (!streamOpen) {
> open()
> }
> objOut.writeKey(key)
> objOut.writeValue(value)
> recordWritten()
> }
> override def write(kvBytes: Array[Byte], offs: Int, len: Int): Unit = {
> if (!streamOpen) {
> open()
> }
> bs.write(kvBytes, offs, len)
> // updateBytesWritten() // the function is missed
> }
> **
> * Notify the writer that a record worth of bytes has been written with
> OutputStream#write.
> */
> def recordWritten(): Unit = {
> numRecordsWritten += 1
> writeMetrics.incRecordsWritten(1)
> if (numRecordsWritten % 16384 == 0) {
> updateBytesWritten()
> }
> }
> /**
> * Report the number of bytes written in this writer's shuffle write metrics.
> * Note that this is only valid before the underlying streams are closed.
> */
> private def updateBytesWritten() {
> val pos = channel.position()
> writeMetrics.incBytesWritten(pos - reportedPosition)
> reportedPosition = pos
> }
> {code}
>
>
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