Book Image

Mastering PostgreSQL 11 - Second Edition

By : Hans-Jürgen Schönig
Book Image

Mastering PostgreSQL 11 - Second Edition

By: Hans-Jürgen Schönig

Overview of this book

This second edition of Mastering PostgreSQL 11 helps you build dynamic database solutions for enterprise applications using the latest release of PostgreSQL, which enables database analysts to design both the physical and technical aspects of the system architecture with ease. This book begins with an introduction to the newly released features in PostgreSQL 11 to help you build efficient and fault-tolerant PostgreSQL applications. You’ll examine all of the advanced aspects of PostgreSQL in detail, including logical replication, database clusters, performance tuning, monitoring, and user management. You will also work with the PostgreSQL optimizer, configuring PostgreSQL for high speed, and see how to move from Oracle to PostgreSQL. As you progress through the chapters, you will cover transactions, locking, indexes, and optimizing queries to improve performance. Additionally, you’ll learn to manage network security and explore backups and replications, while understanding the useful extensions of PostgreSQL so that you can optimize the speed and performance of large databases. By the end of this book, you will be able to use your database to its utmost capacity by implementing advanced administrative tasks with ease.

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Table of Contents (15 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
PostgreSQL Overview
PostgreSQL Overview
What's new in PostgreSQL 11.0?
Summary
Q&A
2
Understanding Transactions and Locking
Understanding Transactions and Locking
Working with PostgreSQL transactions
Understanding basic locking
Making use of FOR SHARE and FOR UPDATE
Understanding transaction isolation levels
Observing deadlocks and similar issues
Utilizing advisory locks
Optimizing storage and managing cleanup
Summary
Q&A
3
Making Use of Indexes
Making Use of Indexes
Understanding simple queries and the cost model
Improving speed using clustered tables
Understanding additional btree features
Introducing operator classes
Understanding PostgreSQL index types
Achieving better answers with fuzzy searching
Understanding full-text search
Summary
Q&A
4
Handling Advanced SQL
Handling Advanced SQL
Introducing grouping sets
Making use of ordered sets
Understanding hypothetical aggregates
Utilizing windowing functions and analytics
Writing your own aggregates
Summary
5
Log Files and System Statistics
Log Files and System Statistics
Gathering runtime statistics
Creating log files
Summary
Q&A
6
Optimizing Queries for Good Performance
Optimizing Queries for Good Performance
Learning what the optimizer does
Understanding execution plans
Understanding and fixing joins
Enabling and disabling optimizer settings
Partitioning data
Adjusting parameters for good query performance
Making use of parallel queries
Introducing JIT compilation
Summary
7
Writing Stored Procedures
Writing Stored Procedures
Understanding stored procedure languages
Understanding various stored procedure languages
Improving functions
Using functions for various purposes
Summary
Q&A
8
Managing PostgreSQL Security
Managing PostgreSQL Security
Managing network security
Digging into RLS
Inspecting permissions
Reassigning objects and dropping users
Summary
Q&A
9
Handling Backup and Recovery
Handling Backup and Recovery
Performing simple dumps
Handling various formats
Replaying backups
Handling global data
Summary
Q&A
10
Making Sense of Backups and Replication
Making Sense of Backups and Replication
Understanding the transaction log
Transaction log archiving and recovery
Setting up asynchronous replication
Upgrading to synchronous replication
Making use of replication slots
Making use of CREATE PUBLICATION and CREATE SUBSCRIPTION
Summary
Q&A
11
Deciding on Useful Extensions
Deciding on Useful Extensions
Understanding how extensions work
Making use of contrib modules
Other useful extensions
Summary
12
Troubleshooting PostgreSQL
Troubleshooting PostgreSQL
Approaching an unknown database
Inspecting pg_stat_activity
Checking for slow queries
Inspecting the log
Checking for missing indexes
Checking for memory and I/O
Understanding noteworthy error scenarios
Summary
Q&A
13
Migrating to PostgreSQL
Migrating to PostgreSQL
Migrating SQL statements to PostgreSQL
Moving from Oracle to PostgreSQL
Moving from MySQL or MariaDB to PostgreSQL
Summary
14
Other Books You May Enjoy
Other Books You May Enjoy
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Q&A

Should everybody create dumps?

If your database is fairly small, a dump certainly makes sense. However, if you database is huge (> XXX GB), a dump might not be feasible anymore and different means can make sense such as (WAL archiving). You also have to keep in mind that a dump only provides a snapshot of data – it does not provide you with point-in-time recovery. Therefore, the dump is more of an additional tool and not a replacement for WAL archiving.

Why are dumps so small?

A compressed dump is usually around 10 times faster than the PostgreSQL database that you have saved. The reason is that the database has to store the content of an index while the backup only contains definitions. This makes a huge difference in terms of space consumption. On top of that, PostgreSQL has to store additional metadata such as tuple headers and so on, which also needs space...

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