spark-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From matthes <>
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!

View this message in context:
Sent from the Apache Spark User List mailing list archive at

To unsubscribe, e-mail:
For additional commands, e-mail:

View raw message