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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

Summary

Catalog tables provide invaluable information for maintaining and automating database administration tasks. For example, in the previous section, we were able to dump a tree of dependent objects in the correct order. In addition to that, you can automate daily task checks, such as bloats, locks, size, and database health. Also, by using the statistical table, we were able to detect unused indexes, as well as potential columns that require indexing, such as foreign key columns.

The PostgreSQL catalog contains meta information about PostgreSQL databases and objects. This information can be retrieved and manipulated using SQL statements. However, it is not recommended to manipulate the data directly in a catalog schema. PostgreSQL also provides a convenient way to extract data by providing user friendly information in information_schema.

With the help of the PostgreSQL...

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