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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
Author Profile Icon Christopher Travers
Christopher Travers
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Toc

Table of Contents (18) Chapters Close

1. Relational Databases 2. PostgreSQL in Action FREE CHAPTER 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 performance for read

PostgreSQL provides the means to figure out why a certain query is slow. Behind the scenes, PostgreSQL analyzes tables, collects statistics from them, and builds histograms using auto-vacuuming. Auto-vacuuming, in general, is used to recover disk space, update table statistics, and perform other maintenance tasks, such as preventing transaction-ID wraparound. Table statistics allow PostgreSQL to pick up an execution plan with the least cost. The least cost is calculated by taking into account the I/O and, naturally, the CPU cost. Also, PostgreSQL enables users to see the generated execution plan by providing the EXPLAIN command.

For beginners, it's extremely useful to write the same query in different ways and compare the results. For example, in some cases, the NOT IN construct can be converted to LEFT JOIN or NOT EXIST. Also, the IN construct...

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