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PostgreSQL High Performance Cookbook

You're reading from   PostgreSQL High Performance Cookbook Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781785284335
Length 360 pages
Edition 1st Edition
Languages
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Authors (2):
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Chitij Chauhan Chitij Chauhan
Author Profile Icon Chitij Chauhan
Chitij Chauhan
Dinesh Kumar Dinesh Kumar
Author Profile Icon Dinesh Kumar
Dinesh Kumar
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Toc

Table of Contents (13) Chapters Close

Preface 1. Database Benchmarking FREE CHAPTER 2. Server Configuration and Control 3. Device Optimization 4. Monitoring Server Performance 5. Connection Pooling and Database Partitioning 6. High Availability and Replication 7. Working with Third-Party Replication Management Utilities 8. Database Monitoring and Performance 9. Vacuum Internals 10. Data Migration from Other Databases to PostgreSQL and Upgrading the PostgreSQL Cluster 11. Query Optimization 12. Database Indexing

Detecting a missing index

In this recipe, we will be discussing how to identify the tables that need to be indexed.

Getting ready

To find the missing indexes in a database is a tricky task. To find the missing indexes on a table, we have to use the sequential, index scan counter values from the catalog tables. In case we see too many sequential scans on a table, then we can't confirm that the table is a candidate for the index. To confirm this, we have to analyze the queries that we execute on that table using hypothetical indexes.

In general, it is always recommended that you create indexes on foreign key columns, as it helps the query to choose an index while joining parent and child tables. The foreign key's index also improves the key validation among child and parent tables. It is also recommended that you create indexes on the child tables, while creating child tables by inheriting from parent tables.

How to do it...

Let's query the database as to whether the delta of seq_scan...

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