GitHub user wangyum opened a pull request:
https://github.com/apache/spark/pull/18490
[SPARK-21269][Core][WIP] Fix FetchFailedException when enable
maxReqSizeShuffleToMem and KryoSerializer
## What changes were proposed in this pull request?
Spark **cluster** can reproduce, **local** can't:
1. Start a spark context with `spark.reducer.maxReqSizeShuffleToMem=1K` and
`spark.serializer=org.apache.spark.serializer.KryoSerializer`:
```
$ spark-shell --conf spark.reducer.maxReqSizeShuffleToMem=1K --conf
spark.serializer=org.apache.spark.serializer.KryoSerializer
```
2. A shuffle:
```
scala> sc.parallelize(0 until 3000000, 10).repartition(2001).count()
```
The error messages:
```
org.apache.spark.shuffle.MetadataFetchFailedException: Missing an output
location for shuffle 0
at
org.apache.spark.MapOutputTracker$$anonfun$convertMapStatuses$2.apply(MapOutputTracker.scala:808)
at
org.apache.spark.MapOutputTracker$$anonfun$convertMapStatuses$2.apply(MapOutputTracker.scala:804)
at
scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733)
at
scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at
scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
at
scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732)
at
org.apache.spark.MapOutputTracker$.convertMapStatuses(MapOutputTracker.scala:804)
at
org.apache.spark.MapOutputTrackerWorker.getMapSizesByExecutorId(MapOutputTracker.scala:618)
at
org.apache.spark.shuffle.BlockStoreShuffleReader.read(BlockStoreShuffleReader.scala:49)
at org.apache.spark.rdd.ShuffledRDD.compute(ShuffledRDD.scala:105)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.CoalescedRDD$$anonfun$compute$1.apply(CoalescedRDD.scala:100)
at
org.apache.spark.rdd.CoalescedRDD$$anonfun$compute$1.apply(CoalescedRDD.scala:99)
at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434)
at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1802)
at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1159)
at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1159)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2065)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2065)
at
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:341)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
)
...
```
This PR fix this issue.
## How was this patch tested?
Add later
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/wangyum/spark missing-output-location
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/18490.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #18490
----
commit 1c837b6a888965e494fb0495194169de354fdd7c
Author: Yuming Wang <[email protected]>
Date: 2017-06-30T13:53:40Z
Try fix
----
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