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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

Scaling with Replication

Sometimes, when trying to improve database performance, the most practical approach is to add more copies of the data and spread the load out over them all. There are a variety of PostgreSQL projects that replicate data across multiple nodes that you might be able to use for that purpose. Also, high-performance systems tend to come with high availability requirements, plus their respective overheads, too. Learning how to co-exist with your replication software may impact your performance tuning work, even if the copies are not being used actively for load distribution.

Note that none of the mature tools mentioned in this chapter usefully support scaling up for high write volume. The best explored solution in that category is using PL/Proxy, as described in Chapter 15, Partitioning Data. Write volume scaling is also a goal of Postgres-XC. In general, when...

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