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Mastering PostgreSQL 15

Mastering PostgreSQL 15

By : Hans-Jürgen Schönig
4.9 (7)
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Mastering PostgreSQL 15

Mastering PostgreSQL 15

4.9 (7)
By: Hans-Jürgen Schönig

Overview of this book

Starting with an introduction to the newly released features of PostgreSQL 15, this updated fifth edition will help you get to grips with PostgreSQL administration and how to build dynamic database solutions for enterprise apps, including designing both physical and technical aspects of the system. You'll explore advanced PostgreSQL features, such as logical replication, database clusters, advanced indexing, and user management to manage and maintain your database. You'll then work with the PostgreSQL optimizer, configure PostgreSQL for high speed, and move from Oracle to PostgreSQL. Among the other skills that the book will help you build, you’ll cover transactions, handling recursions, working with JSON and JSONB data, and setting up a Patroni cluster. It will show you how to improve performance with query optimization. You'll also focus on managing network security and work with backups and replication while exploring useful PostgreSQL extensions that optimize the performance of large databases. By the end of this PostgreSQL book, you’ll be able to use your database to its utmost capacity by implementing advanced administrative tasks with ease.
Table of Contents (16 chapters)
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Checking for missing indexes

Once we are done with the first three steps, it is important to take a look at performance in general. As I have continually stated throughout this book, missing indexes are fully responsible for super-bad database performance, so whenever we face a slow system, it is recommended that we check for missing indexes and deploy whatever is needed.

Usually, customers ask us to optimize the RAID level, tune the kernel, or do some other fancy stuff. In reality, these complicated requests often boil down to a handful of missing indexes. In my opinion, it always makes sense to spend some extra time just checking whether all of the desired indexes are there. Checking for missing indexes is neither hard nor time-consuming, so it should be done all the time, regardless of the kind of performance problem that you face.

Here is my favorite query to get an impression of where an index may be missing:

SELECT schemaname, relname, seq_scan, seq_tup_read,
 ...

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