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Mastering PostgreSQL 13

Mastering PostgreSQL 13 - Fourth Edition

By : Hans-Jürgen Schönig
3.6 (5)
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Mastering PostgreSQL 13

Mastering PostgreSQL 13

3.6 (5)
By: Hans-Jürgen Schönig

Overview of this book

Thanks to its reliability, robustness, and high performance, PostgreSQL has become one of the most advanced open source databases on the market. This updated fourth edition will help you understand PostgreSQL administration and how to build dynamic database solutions for enterprise apps with the latest release of PostgreSQL, including designing both physical and technical aspects of the system architecture with ease. Starting with an introduction to the new features in PostgreSQL 13, this book will guide you in building efficient and fault-tolerant PostgreSQL apps. You’ll explore advanced PostgreSQL features, such as logical replication, database clusters, performance tuning, advanced indexing, monitoring, 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. The book also covers transactions, locking, and indexes, and shows you how to improve performance with query optimization. You’ll also focus on how to manage 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 get the most out of your database by executing advanced administrative tasks.
Table of Contents (15 chapters)
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Utilizing advisory locks

PostgreSQL has highly efficient and sophisticated transaction machinery that is capable of handling locks in a really fine-grained and efficient way. A few years ago, people came up with the idea of using this code to synchronize applications with each other. Thus, advisory locks were born.

When using advisory locks, it is important to mention that they won't go away on COMMIT as normal locks do. Therefore, it is really important to make sure that unlocking is done properly and in a totally reliable way.

If you decide to use an advisory lock, what you really lock is a number. So, this isn't about rows or data; it is really just a number. Here's how it works:

Session 1

Session 2

BEGIN;

SELECT pg_advisory_lock(15);

SELECT pg_advisory_lock(15);

It has to wait

COMMIT;

It still has to wait

SELECT pg_advisory_unlock(15);

It is still waiting

Lock is taken

The first transaction will lock 15. The second transaction has to wait until this number has been unlocked again. The second session will even wait after the first one has committed. This is highly important as you cannot rely on the fact that the end of the transaction will nicely and miraculously solve things for you.

If you want to unlock all locked numbers, PostgreSQL offers the pg_advisory_unlock_all() function to do exactly this:

test=# SELECT pg_advisory_unlock_all(); 
pg_advisory_unlock_all 
------------------------

(1 row)

Sometimes, you might want to see whether you can get a lock and error out if this isn't possible. To achieve this, PostgreSQL offers a couple of functions; to see a list of all such available functions, enter \df *try*advisory* at the command line.

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