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  • Book Overview & Buying Mastering PostgreSQL 13
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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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Migrating SQL statements to PostgreSQL

When moving from a database to PostgreSQL, it makes sense to take a look and figure out which database engine provides which kind of functionality. Moving the data and the structure itself is usually fairly easy. However, rewriting SQL might not be. Therefore, I decided to include a section that explicitly focuses on various advanced features of SQL and their availability in today's database engines.

Using lateral joins

In SQL, a lateral join can basically be seen as some sort of loop. This allows us to parameterize a join and execute everything inside the LATERAL clause more than once. Here is a simple example of this:

test=# SELECT * 
FROM generate_series(1, 4) AS x,
LATERAL (SELECT array_agg(y)
FROM generate_series(1, x) AS y
) AS z;
x | array_agg

----+-----------
1 | {1}
2 | {1,2}
3 | {1,2,3}
4 | {1,2,3,4}
(4 rows)

The LATERAL clause will be called for each instance of x. To the end...

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