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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

PostgreSQL application scaling life cycle

While every application has unique growth aspects, there are many common techniques that you'll find necessary as an application using a PostgreSQL database becomes used more heavily. The chapters of this book each focus on one of the common aspects of this process. The general path that database servers follow includes the following steps:

  1. Select hardware to run the server on. Ideally, you'll test that hardware to make sure it performs as expected too.
  2. Set up all the parts of database disk layout: RAID level, filesystem, and possibly table/index layout on disk.
  3. Optimize the server configuration.
  4. Monitor server performance and how well queries are executing.
  5. Improve queries to execute more efficiently, or add indexes to help accelerate them.
  6. As it gets more difficult to just tune the server to do more work, instead reduce the amount it has to worry about by introducing connection pooling and caching.
  7. Partition larger tables into sections. Eventually, really large ones may need to be split so that they're written to multiple servers simultaneously.

This process is by no means linear. You can expect to make multiple passes over optimizing the server parameters. It may be the case that you decide to buy newer hardware first, rather than launching into replication or partitioning work that requires application redesign work. Some designs might integrate caching into the design from the very beginning. The important thing is to be aware of the various options available and to collect enough data about what limits the system is reaching to decide which of the potential changes is most likely to help.

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PostgreSQL 10 High Performance - Third Edition
Published in: Apr 2018
Publisher: Packt
ISBN-13: 9781788474481
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