Book Image

Learning PostgreSQL 11 - Third Edition

By : Salahaldin Juba, Andrey Volkov
Book Image

Learning PostgreSQL 11 - Third Edition

By: Salahaldin Juba, Andrey Volkov

Overview of this book

PostgreSQL is one of the most popular open source database management systems in the world, and it supports advanced features included in SQL standards. This book will familiarize you with the latest features in PostgreSQL 11, and get you up and running with building efficient PostgreSQL database solutions from scratch. Learning PostgreSQL, 11 begins by covering the concepts of relational databases and their core principles. You’ll explore the Data Definition Language (DDL) and commonly used DDL commands supported by ANSI SQL. You’ll also learn how to create tables, define integrity constraints, build indexes, and set up views and other schema objects. As you advance, you’ll come to understand Data Manipulation Language (DML) and server-side programming capabilities using PL/pgSQL, giving you a robust background to develop, tune, test, and troubleshoot your database application. The book will guide you in exploring NoSQL capabilities and connecting to your database to manipulate data objects. You’ll get to grips with using data warehousing in analytical solutions and reports, and scaling the database for high availability and performance. By the end of this book, you’ll have gained a thorough understanding of PostgreSQL 11 and developed the necessary skills to build efficient database solutions.
Table of Contents (18 chapters)

The SQL language and PL/pgSQL – a comparison

As illustrated in Chapter 4, PostgreSQL Advanced Building Blocks, we can write functions in C, SQL, and PL/pgSQL. There are some pros and cons to each approach. You can think of an SQL function as a wrapper around a parameterized SELECT statement. SQL functions can be inlined into the calling subquery, leading to better performance. Also, since the SQL function execution plan is not cached as in PL/pgSQL, it is often better in performance than PL/pgSQL. Moreover, caching in PL/pgSQL can have some surprisingly bad side effects, such as the caching of sensitive timestamp values, as shown in the documentation at http://www.postgresql.org/docs/current/interactive/plpgsql-implementation.html. Finally, with the introduction of CTE, recursive CTE, window functions, and LATERAL JOINS, you can perform complex logic using only SQL. If...