http://s3-us-west-1.amazonaws.com/watsonwalker/ww/wp-content/uploads/2016/03/28073651/Spark-and-SMF.pdf

Timothy Sipples may have more to add.

Cheers, Ant.

-----Original Message-----
From: IBM Mainframe Discussion List [mailto:IBM-MAIN@LISTSERV.UA.EDU] On Behalf 
Of Andrew Rowley
Sent: Wednesday, 29 November 2017 9:30 AM
To: IBM-MAIN@LISTSERV.UA.EDU
Subject: Re: SAS - DB2 conversion to Java

On 29/11/2017 10:08 AM, Anthony Thompson wrote:
> What about Spark on Z? IBM are giving it away.
>
I haven't tried it, but from the documentation and presentations it seems 
pretty heavyweight for simple SMF reporting.

I see a couple of other issues:
- IBM were saying how great it was at parallelizing work, however that is a bit 
of a red flag for me. Parallelizing is great if you have e.g. a multi core 
workstation where you hit 100% usage on one core while the others are idle. 
That isn't usually the case on z/OS. Most z/OS customers would prefer speeding 
up by reducing total CPU usage than spreading it across multiple CPUs. It would 
be fairly uncommon on z/OS for this type of job to run at a priority where 
single CPU capacity is the limiting factor.
- I think the reporting is SQL based? SMF data was not designed to be queried 
using SQL. I have been down that path. On the other hand, Java classes are 
beautiful for working with SMF data (not quite as nice as C# but still very 
good).

--
Andrew Rowley
Black Hill Software

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