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From Adrian Tanase <atan...@adobe.com>
Subject Re: Usage of transform for code reuse between Streaming and Batch job affects the performance ?
Date Mon, 05 Oct 2015 20:00:03 GMT
It shouldn't, as lots of the streaming operations delegate to transform under the hood. Easiest
way to make sure is to look at the source code - with a decent IDE navigating around should
be a breeze.

As a matter of fact, for more advanced operations where you may want to control the partitioning
(e.g. unioning 2 DStreams or a simple flatMap) you will be forced to use transform as the
DStreams hide away some of the control.

-adrian

Sent from my iPhone

> On 05 Oct 2015, at 03:59, swetha <swethakasireddy@gmail.com> wrote:
> 
> Hi,
> 
> I have the following code for code reuse between the batch and the streaming
> job
> 
> *  val groupedAndSortedSessions =
> sessions.transform(rdd=>JobCommon.getGroupedAndSortedSessions(rdd))*
> 
> The same code without code reuse between the batch and the streaming has the
> following. 
> 
> * val groupedSessions = sessions.groupByKey();
> 
>    val sortedSessions  = groupedSessions.mapValues[(List[(Long,
> String)])](iter => iter.toList.sortBy(_._1))
> *
> 
> Does use of transform for code reuse affect groupByKey performance?
> 
> 
> Thanks,
> Swetha
> 
> 
> 
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