Not that I'm aware of. We ran into the similar "issue" where we didn't want to keep accumulating all these empty part files in storage on S3 or HDFS. There didn't seem to be any performance free way to do it with an RDD, so we just run a non-spark post-batch operation to delete empty files from the write path.
On Thu, Aug 6, 2015 at 3:33 PM, Patanachai Tangchaisin <patanac...@ipsy.com> wrote: > Currently, I use rdd.isEmpty() > > Thanks, > Patanachai > > > > On 08/06/2015 12:02 PM, gpatcham wrote: > >> Is there a way to filter out empty partitions before I write to HDFS other >> than using reparition and colasce ? >> >> >> >> >> -- >> View this message in context: >> http://apache-spark-user-list.1001560.n3.nabble.com/Removing-empty-partitions-before-we-write-to-HDFS-tp24156.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 >> >> > -- > Patanachai > > > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > > -- *Richard Marscher* Software Engineer Localytics Localytics.com <http://localytics.com/> | Our Blog <http://localytics.com/blog> | Twitter <http://twitter.com/localytics> | Facebook <http://facebook.com/localytics> | LinkedIn <http://www.linkedin.com/company/1148792?trk=tyah>
