A very simple Spark SQL COUNT operation succeeds in spark-shell for 1.3.1 and fails with a series of out-of-memory errors in 1.4.0.
This gist <https://gist.github.com/ssimeonov/a49b75dc086c3ac6f3c4> includes the code and the full output from the 1.3.1 and 1.4.0 runs, including the command line showing how spark-shell is started. Should the 1.4.0 spark-shell be started with different options to avoid this problem? Thanks, Sim -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/1-4-0-regression-out-of-memory-errors-on-small-data-tp23595.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
