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Learn PostgreSQL

You're reading from   Learn PostgreSQL Build and manage high-performance database solutions using PostgreSQL 12 and 13

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Product type Paperback
Published in Oct 2020
Publisher Packt
ISBN-13 9781838985288
Length 650 pages
Edition 1st Edition
Languages
Concepts
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Authors (2):
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Enrico Pirozzi Enrico Pirozzi
Author Profile Icon Enrico Pirozzi
Enrico Pirozzi
Luca Ferrari Luca Ferrari
Author Profile Icon Luca Ferrari
Luca Ferrari
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Toc

Table of Contents (27) Chapters Close

Preface 1. Section 1: Getting Started
2. Introduction to PostgreSQL FREE CHAPTER 3. Getting to Know Your Cluster 4. Managing Users and Connections 5. Section 2: Interacting with the Database
6. Basic Statements 7. Advanced Statements 8. Window Functions 9. Server-Side Programming 10. Triggers and Rules 11. Partitioning 12. Section 3: Administering the Cluster
13. Users, Roles, and Database Security 14. Transactions, MVCC, WALs, and Checkpoints 15. Extending the Database - the Extension Ecosystem 16. Indexes and Performance Optimization 17. Logging and Auditing 18. Backup and Restore 19. Configuration and Monitoring 20. Section 4: Replication
21. Physical Replication 22. Logical Replication 23. Section 5: The PostegreSQL Ecosystem
24. Useful Tools and Extensions 25. Toward PostgreSQL 13 26. Other Books You May Enjoy

Summary

PostgreSQL provides very rich features for creating and managing indexes, both single column-based or multi-column-based, as well as multiple types of indexes that can be built.

Thanks to the EXPLAIN command, a database administrator can inspect a slow query and see how the optimizer has thought about what the best access to the underlying data is, and thanks to an understanding of how PostgreSQL works, the administrator can decide which indexes to create in order to tune the performances.

PostgreSQL also provides a rich set of statistics that is used to both extract the quality and the quantity of data within every table, therefore being able to generate an execution plan, and to monitor which indexes are used and when. Auto-explain is another useful module that can be used to silently monitor slow queries and execution plans and see how the cluster is performing without any need to manually execute every suspect statement.

It is important to emphasize that performance tuning...

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