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PostgreSQL 10 High Performance

You're reading from   PostgreSQL 10 High Performance Expert techniques for query optimization, high availability, and efficient database maintenance

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788474481
Length 508 pages
Edition 3rd Edition
Languages
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Author (1):
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Enrico Pirozzi Enrico Pirozzi
Author Profile Icon Enrico Pirozzi
Enrico Pirozzi
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Table of Contents (18) Chapters Close

Preface 1. PostgreSQL Versions FREE CHAPTER 2. Database Hardware 3. Database Hardware Benchmarking 4. Disk Setup 5. Memory for Database Caching 6. Server Configuration Tuning 7. Routine Maintenance 8. Database Benchmarking 9. Database Indexing 10. Query Optimization 11. Database Activity and Statistics 12. Monitoring and Trending 13. Pooling and Caching 14. Scaling with Replication 15. Partitioning Data 16. Avoiding Common Problems 17. Other Books You May Enjoy

Advanced index use

Many PostgreSQL users will only ever use simple B-tree indexes on a single column. There are of course a few ways to build more complicated ones too though.

Multicolumn indexes

Consider a database table that is storing a category and a subcategory for a series of data. In this case, you don't expect to ever specify a subcategory without also providing a category. This is the sort of situation where a multicolumn index can be useful. B-tree indexes can have to up 32 columns they index, and anytime there's a natural parent/child relationship in your data this form of index might be appropriate.

Create an index for that sort of situation:

CREATE INDEX i_category ON t (category,subcategory);  

The...

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