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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

Pooling and Caching

One of the unfortunate limitations of any database software, one that's particularly apparent in PostgreSQL, is that there is a lot of overhead you're paying for, even when executing really simple queries. If you have a complicated join happening, you should be happy to pay the expense of query optimization. But if you're just reading a simple table, the overheads for opening a database connection and waiting for that query to execute can be higher than you'd like.

There are two common approaches for reducing that overhead, pooling and caching, and both are introduced in this chapter. This sort of software is external to the database, is relatively complicated to set up, and its use is very application dependent. Accordingly, the focus here is on general theory rather than trying to show a working example. It's unlikely any one example...

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