Alternative to doing a naive toArray is to declare an accumulator per partition 
and use that. It's specifically what they were designed to do. See the 
programming guide.



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-----Original Message-----
From: Tobias Pfeiffer [t...@preferred.jp<mailto:t...@preferred.jp>]
Sent: Tuesday, January 13, 2015 08:06 PM Eastern Standard Time
To: Kevin Burton
Cc: Ganelin, Ilya; user@spark.apache.org
Subject: Re: quickly counting the number of rows in a partition?

Hi,

On Mon, Jan 12, 2015 at 8:09 PM, Ganelin, Ilya 
<ilya.gane...@capitalone.com<mailto:ilya.gane...@capitalone.com>> wrote:
Use the mapPartitions function. It returns an iterator to each partition. Then 
just get that length by converting to an array.

On Tue, Jan 13, 2015 at 2:50 PM, Kevin Burton 
<bur...@spinn3r.com<mailto:bur...@spinn3r.com>> wrote:
Doesn’t that just read in all the values?  The count isn’t pre-computed? It’s 
not the end of the world if it’s not but would be faster.

Well, "converting to an array" may not work due to memory constraints, counting 
the items in the iterator may be better. However, there is no "pre-computed" 
value. For counting, you need to compute all values in the RDD, in general. If 
you think of

    items.map(x => /* throw exception */).count()

then even though the count you want to get does not necessarily require the 
evaluation of the function in map() (i.e., the number is the same), you may not 
want to get the count if that code actually fails.

Tobias
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