Isn't that a feature? Other than running a buggy pipeline, just kills all executors? You can always handle exceptions with proper try catch in your code though.
Thanks Best Regards On Fri, Mar 20, 2015 at 3:51 PM, mrm <ma...@skimlinks.com> wrote: > Hi, > > I recently changed from Spark 1.1. to Spark 1.2., and I noticed that it > loses all executors whenever I have any Python code bug (like looking up a > key in a dictionary that does not exist). In earlier versions, it would > raise an exception but it would not lose all executors. > > Anybody with a similar problem? > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Spark-1-2-loses-often-all-executors-tp22162.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 > >
