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Performance-Tuning for Extract/Transform/Load (ETL) Operations

Performance-Tuning for Extract/Transform/Load (ETL) Operations. Presented by : Ken Stuber. About Ken. Data Architect at Jewelers Mutual Insurance Has worked with SQL Server since 1997 Has supported Data Warehousing on SQL platform for 7+ years

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Performance-Tuning for Extract/Transform/Load (ETL) Operations

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  1. Performance-Tuning for Extract/Transform/Load (ETL) Operations Presented by : Ken Stuber

  2. About Ken • Data Architect at Jewelers Mutual Insurance • Has worked with SQL Server since 1997 • Has supported Data Warehousing on SQL platform for 7+ years • Missed MCM by one lab exam question. Grrr…. Will try again with whatever new advanced cert MS comes up with… • @KenStuber • http://dropcleanbuffers.blogspot.com/ • kstuber@jminsure.com • http://www.linkedin.com/pub/ken-stuber/9/b7b/2a0/

  3. First… know your goals • BASELINE • SLAs • Refresh Frequency • Process Prioritization

  4. Then … Design for Performance • Data Grain • Source Data Local • Re-startable • Parallel processing • Merge or Rebuild Dims?

  5. Database and Server Settings • Recovery Model • Isolation • Max Memory • Power Option • MAXDOP

  6. Getting to your Source Data • Performance Trade-off of local vs Remote • Always TEST! • If Local… • Backup & Restore • SAN Snap or Clone • AA Readable 2nd • Snapshot of Mirror • Replication • Log Shipping • CDC?

  7. Bulk Loading Data • Reduce IO w/ Minimal Logging • Methods • sys.dm_io_virtual_file_stats • TABLOCK vs Trace Flag 610

  8. Functions CPU killer UDF vs CLR vs In-Line

  9. Indexing • Source • Staging • Dest.

  10. Statistics • Bad Stats = Catastrophic Performance • Update after every build • FULLSCAN if you can afford it

  11. Compression? I/O Reduction at cost of CPU

  12. Partitioning? • Can Eliminate the L. of E.T.L. • Increases Complexity • Can Benefit Query performance too

  13. Other Advanced Features • Hekaton? • Updatable Columnstore Indexes?

  14. Hardware Considerations • More RAM!!! • IO or CPU bound? • Know your IO Subsystem • SSDs • Multiple files • TempDB local

  15. Tuning existing ETL

  16. Resources • Microsoft CAT Team’s Data Loading Performance Guide • SQL Magazine: How to find your most expensive queries • SAN Performance Tuning with SQLIO • Columnstore Insert/Update Performance

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