Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/5645#discussion_r29029244
--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/rdd/WriteAheadLogBackedBlockRDD.scala
---
@@ -96,9 +99,27 @@ class WriteAheadLogBackedBlockRDD[T: ClassTag](
logDebug(s"Read partition data of $this from block manager, block
$blockId")
iterator
case None => // Data not found in Block Manager, grab it from write
ahead log file
- val reader = new WriteAheadLogRandomReader(partition.segment.path,
hadoopConf)
- val dataRead = reader.read(partition.segment)
- reader.close()
+ var dataRead: ByteBuffer = null
+ var writeAheadLog: WriteAheadLog = null
+ try {
+ val dummyDirectory = FileUtils.getTempDirectoryPath()
+ writeAheadLog = WriteAheadLogUtils.createLogForReceiver(
+ SparkEnv.get.conf, dummyDirectory, hadoopConf)
--- End diff --
hadoopConf is always available through the SparkContext. Irrespective of
whether Hadoop file system is used, a Hadoop conf is created by the
SparkContext which is passed on to this location. If the WAL is not the default
FileBasedWAL, then this parameter is just ignored (see the method
`WriteAheadLogUtils.createLogForReceiver`
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