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Learning PostgreSQL 10

You're reading from   Learning PostgreSQL 10 A beginner's guide to building high-performance PostgreSQL database solutions

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Product type Paperback
Published in Dec 2017
Publisher
ISBN-13 9781788392013
Length 488 pages
Edition 2nd Edition
Languages
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Authors (2):
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Andrey Volkov Andrey Volkov
Author Profile Icon Andrey Volkov
Andrey Volkov
Salahaldin Juba Salahaldin Juba
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Salahaldin Juba
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Toc

Table of Contents (17) Chapters Close

Preface 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

Common mistakes in writing queries


There are some common mistakes and bad practices that a developer may fall into, which are as follows:

Unnecessary operations

There are different ways to introduce extra operations such as hard disk scans, sorting, and filtering. For example, some developers often use DISTINCT even if it is not required, or do not know the difference between UNION, UNION ALL, EXCEPT, EXCEPT ALL, and so on. This causes slow queries, especially if the expected number of rows is high. The following two queries are equivalent simply because the table has a primary key, but the one with DISTINCT is much slower:

postgres=# \timing 
Timing is on.
postgres=# SELECT * FROM guru;
Time: 85,089 ms
postgres=# SELECT DISTINCT * FROM guru;
Time: 191,335 ms

Another common mistake is to use DISTINCT with UNION, as in the following query:

postgres=# SELECT * FROM guru UNION SELECT * FROM guru;
Time: 267,258 ms
postgres=# SELECT DISTINCT * FROM guru UNION SELECT DISTINCT * FROM guru;
Time: 346...
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