Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/2178#issuecomment-54214760
Here's some more information:
I could reproduce this outside of the tests by setting the following in my
`spark-defaults.conf`:
```
spark.master local-cluster[1,1,512]
spark.shuffle.spill.compress true
spark.shuffle.compress true
spark.shuffle.manager sort
spark.shuffle.memoryFraction 0.001
```
and running
```
sc.parallelize(0 until 100000).map(i => (i/4, i)).groupByKey().collect()
```
This only happens when `spark.shuffle.spill.compress` and
`spark.shuffle.compress` diverge, and only for sort-based shuffle.
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