Hi, My question is:
I have multiple filter operations where I split my initial rdd into two different groups. The two groups cover the whole initial set. In code, it's something like: set1 = initial.filter(lambda x: x == something) set2 = initial.filter(lambda x: x != something) By doing this, I am doing two passes over the data. Is there any way to optimise this to do it in a single pass? Note: I was trying to look in the mailing list to see if this question has been asked already, but could not find it. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/optimize-multiple-filter-operations-tp20010.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
