Reducing TCO with Datacom Compression (Presspack)

1. World® ’16 Reducing TCO with Datacom Compression (Presspack) Kevin Shuma, VP Product Management CA Technologies MFX94S MAINFRAME AND WORKLOAD AUTOMATION

2. 2 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD © 2016 CA. All rights reserved. All trademarks referenced herein belong to their respective companies. The content provided in this CA World 2016 presentation is intended for informational purposes only and does not form any type of warranty. The information provided by a CA partner and/or CA customer has not been reviewed for accuracy by CA. For Informational Purposes Only Terms of this Presentation

3. 3 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Abstract Come to this session to learn how the CA Datacom® Presspack can reduce the total cost of ownership for CA Datacom® environments. CA Datacom® Presspack is an optional component of the CA Datacom® product family and provides high performance compression for data rows stored in CA Datacom®/DB database tables. Kevin Shuma CA Technologies VP, Product Management

4. 4 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Agenda WHAT ARE THE BENEFITS/COSTS OF COMPRESSION? NEW ONLINE COMPRESS ABILITY – TA24 EXAMPLE OF ONLINE COMPRESS BENCHMARK IN OUR LAB SUMMARY OF FINDINGS 1 2 3 4 5

5. 5 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD What are the benefits of compression? § A compressed data block typically has significantly more rows which means – Less blocks on DASD to store the same number of rows – Better data buffer reuse which reduces IO and improves performance – Less memory required to place tables in memory (MRDF) – Quicker utility processing for backups and loads (less IO) Why should I consider compression?

6. 6 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD What are the benefits of compression? § Can make data less “readable” by non CA Datacom® utilities like TSO Browse § Slowing DASD growth and multiple extent management Some other Benefits of Using Compression:

7. 7 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD What are the costs of compression? § Requires a data access outage to implement § Not easily removed or changed § Hard to switch from one vendor to another § Uses expensive general purpose processor (GP CPU) instructions to save cheap DASD Why I Should Avoid Using Compression

8. 8 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Using zIIP for Compression § zIIP processors – Can be used for in-memory processing like compression – Can only be used for code you own § Cannot be used to process imbedded user/vendor code – Example: Non-CA compression code imbedded in MUF § Datacom compression runs on the zIIP processor(s) while reducing the IOs which run on General Purpose processor(s) – Effectively trading inexpensive zIIP CPU for expensive GP CPU Tipping the Balance for Using Compression

9. 9 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD New Online Compress Ability – TA24 § Provides the user the ability to alter a table’s compression algorithm without interrupting data access § Avoids a costly data access outage to implement or change compression § Compression/decompression activity runs in background in MUF – Utilizes zIIP processors for compression processing Capabilities Without Interrupting User Access

10. 10 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD New Online Compress Ability – TA24 § Fully restart-able across failures (lack of space, MUF or LPAR) – The partially compressed data remains accessible – Once the failure issue is resolved, the Online Compress will be restarted and run to completion § Process can be stopped (REQABORT) – Allows user to reverse or change compression setting – New process will run to completion and reset all rows to new selection Fully Restart-able and Recoverable

11. 11 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD New Online Compress – Data Blocks § When decompressing a table – Rows may grow and additional data blocks will be used § When compressing a table – Rows will shrink making more space available in each data block – Space immediately available for use by new requests § To complete the process a online reorganization is recommended – OLREORG REFGROUP=0 provides best result (DSOP 4/5) § May require a data area extension if not enough empty blocks to get rolling Data Blocks in-use Will be Affected

12. 12 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Example of Online Compress § Sample table containing 1 million rows § Uncompressed data rows fill 62K data blocks § After compression 62K data blocks still in use but each block has significant free space § After OLREORG REFGROUP=00 data blocks are defragmented Come to Resource Center for a Live Demo Before 62K Full Data Blocks After TA24 62K Partially Data Blocks After OLREORG 24.5K Full Data Blocks

13. 13 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD DBUTLTY DATASP Report (Before TA24) Shows Data Blocks, Data Bytes and Data Rows “IN-USE” 1M rows stored in 98% of the available bytes and 99% of the available data blocks in the 5,250 track dataset 62K Data Blocks

15. 15 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD DBUTLTY DATASP Report (After TA24) Shows Data Bytes Significantly Less, but Data Blocks and Rows the Same 1M rows stored in 39% of the available bytes and 99% of the available data blocks in the 5,250 track dataset 62K Partially full Data Blocks

17. 17 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD DBUTLTY DATASP Report (After TA24/OLREORG) Shows Number of Blocks in-use Dropped Dramatically (Reduced by 60%) Same number of rows stored in 39% of the bytes and 40% of the data blocks in the 5,250 track dataset 24.5K Full Data Blocks

18. 18 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Comparing the Processing Before/After TA24 + OLREORG Sequential Program Processing All 1M Rows Logical work is exactly the same (Requests, Logical reads and Writes). Physical reads reduced by 64%.

19. 19 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Lab Benchmark Comparing CPU/IO Consumption READ 1M Rows Each - 10 Consecutive Processes Logical work is exactly the same (Requests, Logical reads and Writes). Small buffer pool Large buffer pool Uncompressed DB Compress Presspack Weak Presspack Strong Presspack Custom Uncompressed DB Compress Presspack Weak Presspack Strong Presspack Custom Reduced Elapsed, CPU and IO Much better reduction with large buffer pools

20. 20 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Lab Benchmark Comparing CPU/IO Consumption READ 1M Rows Each - 10 Consecutive Processes Large buffer pool w/MRDF Uncompressed DB Compress Presspack Weak Presspack Strong Presspack Custom Logical work is exactly the same (Requests, Logical reads and Writes). Reduced Elapsed, CPU and IO Best reduction with large buffer pools and MRDF covered

21. 21 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Lab Benchmark Comparing CPU/IO Consumption Update 100K of 1M Rows Read - 10 Consecutive Processes Large buffer pool Large buffer pool w/MRDF Uncompressed DB Compress Presspack Weak Presspack Strong Presspack Custom Uncompressed DB Compress Presspack Weak Presspack Strong Presspack Custom Logical work is exactly the same (Requests, Logical reads and Writes). Reduced Elapsed, CPU and IO Best reduction with large buffer pools and MRDF covered

22. 22 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Small buffers Large Buffers w/MRDF CPU/IO Consumption Without a zIIP Processor READ 1M Rows Each - 10 Consecutive Processes Logical work is exactly the same (Requests, Logical reads and Writes). Reduced IO CPU and Elapsed differences depend on buffering Best reduction with large buffer pools and MRDF covered

23. 23 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD What if There is a 3rd Party Compression MRDF w/Presspack MRDF w/3rd party JOEPACK Do not use 3rd party compression and zIIP (SMPTASK x,x,x,SRB )

24. 24 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Summary § Online Compression (TA24) removes several of the key drawbacks of compression – No longer requires a data access outage to implement – Can be easily removed or changed – Easily switch from 3rd party vendor to CA § When compression (Presspack) combined with zIIP (SRB) processing, the TCO tips in favor of Presspack (CA) compression – Uses cheaper zIIP (CPU) instructions and saves DASD, IO and memory

27. 27 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Recommended Sessions SESSION # TITLE DATE/TIME MFX92S Strategy and Vision for CA Datacom and CA Ideal™ 11/16/2016 at 12:45 pm MFX93S What’s new in CA Datacom 11/16/2016 at 1:45 pm MFX94S Reducing TCO with Datacom Compression (Presspack) 11/16/2016 at 3:00 pm MFX95SA Modernizing the CA Datacom data – SQL Access Part I 11/16/2016 at 3:45 pm MFX95SB Modernizing the CA Datacom data – SQL Access Part II 11/16/2016 at 4:30 pm MFX96S CA Datacom/AD Installation/Upgrade and Maintenance 11/17/2016 at 12:45 pm MFX97S CA Datacom/AD Report Utilization, and information gather for Support 11/17/2016 at 1:45 pm MFX98S Using CA SYSVIEW® to monitor and measure your CA Datacom environment – AD and DB 11/17/2016 at 3:00 pm MFX99S Birds of a Feather/Stump the Techie! 11/17/2016 at 3:45 pm

30. @CAWORLD #CAWORLD © 2016 CA. All RIGHTS RESERVED.30 @CAWORLD #CAWORLD Mainframe and Workload Automation For more information on Mainframe and Workload Automation, please visit: http://cainc.to/9GQ2JI

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