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Best Practice - Deep Compression
Added by torodanhan, last edited by torodanhan on Apr 01, 2009  (view change)
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  Deep Compression

The objective of this document is to communicate best practices for the use of DB2's Deep Compression solution. Compression allows you to use less data pages to store table data. The benefits you can realize from using these best practices include the following features:

  • Your data consumes less storage
  • Your data consumes storage at a slower rate
  • Your database performance improves, depending on your environment.

Also mentioned in this document is how deep compression (or data row compression or table compression) fits within the context of a larger storage strategy, which includes value compression and backup compression. This discussion includes best practices for implementing data row compression including the use of the automatic dictionary creation (ADC) feature in DB2 Version 9.5.

IBM customers using the deep compression feature and these best practices have experienced reductions in the size of their databases of up to 50 percent and greater along with improvements in application response time as high as 30 percent.

Table of contents

Best Practice - Deep Compression - 01. Overview of Compression
Best Practice - Deep Compression - 02. Choosing candidate tables for compression
Best Practice - Deep Compression - 03. Estimating compression ratios
Best Practice - Deep Compression - 04. Compression using table reorganization
Best Practice - Deep Compression - 05. Mitigate the use of table reorganization
Best Practice - Deep Compression - 06. Monitor compression effectiveness
Best Practice - Deep Compression - 07. Reclaiming table space allocated space
Best Practice - Deep Compression - 08. Additional types of compression
Best Practice - Deep Compression - 09. Conclusion
Best Practice - Deep Compression - 10. Best Practices Summary




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