Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/2117#issuecomment-54378173
The OOM was probably due to the Spark driver having too little memory,
since a job with a huge number of tasks can have a large working set in the
scheduler. I think the default is 512 megabytes.
To increase the driver memory, try setting the `SPARK_DRIVER_MEMORY`
environment variable or passing the `--driver-memory` flag to spark-submit /
pyspark / spark-shell.
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