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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

Summary

Large deployments of PostgreSQL systems go through several common phases as the number of database clients increases. You're likely to run into disk bottlenecks initially. These can sometimes be bypassed by reorganizing the system so more of the active data is in RAM. Once that's accomplished, and the system is sized properly so the database is mainly returning information that's in fast memory, it's quite easy to move onto a new bottleneck. One possibility is that you might then be limited by the relatively high overhead of creating a database connection and asking it for data.

When reaching that point, there are two major approaches to consider. You can reuse database connections with pooling, or try and cache database activity outside of the database. The best part is that these two approaches both stack on top of one another. You can, for example...

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