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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

Query rewriting

Writing a query in several ways enables the developer to detect some issues in coding best practices, planner parameters, and performance optimization. The example of returning the guru IDs, names, and the count of success_stories can be written as follows:

postgres=# \o /dev/null
postgres=# \timing
Timing is on.
postgres=# SELECT id, name, (SELECT count(*) FROM success_story where guru_id=id) FROM guru;
Time: 144,929 ms
postgres=# WITH counts AS (SELECT count(*), guru_id FROM success_story group by guru_id) SELECT id, name, COALESCE(count,0) FROM guru LEFT JOIN counts on guru_id = id;
Time: 728,855 ms
postgres=# SELECT guru.id, name, COALESCE(count(*),0) FROM guru LEFT JOIN success_story on guru_id = guru.id group by guru.id, name ;
Time: 452,659 ms
postgres=# SELECT id, name, COALESCE(count,0) FROM guru LEFT JOIN ( SELECT count(*), guru_id FROM success_story group by...
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