Re: Concurrent Spark jobs

2016-03-31 Thread emlyn
In case anyone else has the same problem and finds this - in my case it was fixed by increasing spark.sql.broadcastTimeout (I used 9000). -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Concurrent-Spark-jobs-tp26011p26648.html Sent from the Apache Spark

Re: Concurrent Spark jobs

2016-01-25 Thread emlyn
yet, so changing how it executes the jobs on the queue won't help. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Concurrent-Spark-jobs-tp26011p26062.html Sent from the Apache Spark User List mailing list

Re: Concurrent Spark jobs

2016-01-22 Thread Eugene Morozov
rk.redshift").save()}.execute() > f1.get() > f2.get() > > In the hope that the first write would no longer block the following steps, > but instead it fails with a TimeoutException (see stack trace in previous > message). Is there a way to

Re: Concurrent Spark jobs

2016-01-21 Thread emlyn
e). Is there a way to start the different writes concurrently, or is that not possible in Spark? -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Concurrent-Spark-jobs-tp26011p26030.html Sent from

Re: Concurrent Spark jobs

2016-01-19 Thread Madabhattula Rajesh Kumar
Redshift(RedshiftWriter.scala:374) > at > > com.databricks.spark.redshift.DefaultSource.createRelation(DefaultSource.scala:106) > at > > org.apache.spark.sql.execution.datasources.ResolvedDataSource$.a

Concurrent Spark jobs

2016-01-19 Thread emlyn
aultSource.scala:106) at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:222) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:148) -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Concurrent-Spark-jobs-tp26011.html Sent from the Apache Spark Us

Re: How to efficiently control concurrent Spark jobs

2015-02-26 Thread Jeffrey Jedele
map over them in a high level way, but as this is not supported afaik). Thanks! Staffan -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/How-to-efficiently-control-concurrent-Spark-jobs-tp21800.html Sent from the Apache Spark User List mailing list

How to efficiently control concurrent Spark jobs

2015-02-25 Thread Staffan
://apache-spark-user-list.1001560.n3.nabble.com/How-to-efficiently-control-concurrent-Spark-jobs-tp21800.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr