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From matthes <mdiekst...@sensenetworks.com>
Subject Re: Spark run slow after unexpected repartition
Date Tue, 30 Sep 2014 16:56:49 GMT
I have the same problem! I start the same job 3 or 4 times again, it depends
how big the data and the cluster are. The runtime goes down in the following
jobs. And at the end I get the Fetch failure error and at this point I must
restart the spark shell and everything works well again. And I don't use the
caching option!

By the way, I have the same behavior with different jobs!




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