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Learning PostgreSQL 11

You're reading from   Learning PostgreSQL 11 A beginner's guide to building high-performance PostgreSQL database solutions

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Product type Paperback
Published in Jan 2019
Publisher
ISBN-13 9781789535464
Length 556 pages
Edition 3rd Edition
Languages
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Authors (2):
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Andrey Volkov Andrey Volkov
Author Profile Icon Andrey Volkov
Andrey Volkov
Christopher Travers Christopher Travers
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Christopher Travers
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Toc

Table of Contents (18) Chapters Close

1. Relational Databases FREE CHAPTER 2. PostgreSQL in Action 3. PostgreSQL Basic Building Blocks 4. PostgreSQL Advanced Building Blocks 5. SQL Language 6. Advanced Query Writing 7. Server-Side Programming with PL/pgSQL 8. OLAP and Data Warehousing 9. Beyond Conventional Data Types 10. Transactions and Concurrency Control 11. PostgreSQL Security 12. The PostgreSQL Catalog 13. Optimizing Database Performance 14. Testing 15. Using PostgreSQL in Python Applications 16. Scalability 17. What's Next? 18. Other Books You May Enjoy

Tuning for performance

High performance in PostgreSQL can be achieved by having good configuration settings and proper physical schemas, including indexes. Execution plans depend on the statistics gathered from the tables; fortunately, in PostgreSQL, you can control the behavior of the statistic collection.

For developers, it is important to get good performance. When handling foreign keys, there are two recommendations for increasing performance, which are as follows:

  • Always index foreign keys: Indexing a table for foreign keys allows PostgreSQL to fetch data from the table using an index scan.
  • Increase the column statistic target on foreign keys: This is also applicable to all predicates because it allows PostgreSQL to have a better estimation of the number of rows. The default statistic target is 100, and the maximum is 10,000. Increasing the statistics target makes the ANALYZE...
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