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Learning PostgreSQL 10

Learning PostgreSQL 10

By : Juba, Volkov
2.3 (6)
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Learning PostgreSQL 10

Learning PostgreSQL 10

2.3 (6)
By: Juba, Volkov

Overview of this book

PostgreSQL is one of the most popular open source databases in the world, supporting the most advanced features included in SQL standards. This book will familiarize you with the latest features released in PostgreSQL 10. We’ll start with a thorough introduction to PostgreSQL and the new features introduced in PostgreSQL 10. We’ll cover the Data Definition Language (DDL) with an emphasis on PostgreSQL, and the common DDL commands supported by ANSI SQL. You’ll learn to create tables, define integrity constraints, build indexes, and set up views and other schema objects. Moving on, we’ll cover the concepts of Data Manipulation Language (DML) and PostgreSQL server-side programming capabilities using PL/pgSQL. We’ll also explore the NoSQL capabilities of PostgreSQL and connect to your PostgreSQL database to manipulate data objects. By the end of this book, you’ll have a thorough understanding of the basics of PostgreSQL 10 and will have the necessary skills to build efficient database solutions.
Table of Contents (17 chapters)
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SQL language and PL/pgSQL – a comparison


As shown in Chapter 04, PostgreSQL Advanced Building Blocks, one can write functions in C, SQL, and PL/pgSQL. There are some pros and cons to each approach. One 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 often behaves better 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 that can be found at http://www.postgresql.org/docs/current/interactive/plpgsql-implementation.html. Finally, with the introduction of CTE, recursive CTE, window functions, and LATERAL JOINS, one can perform complex logic using only SQL. If function logic can be implemented in SQL, use an SQL function instead of PL/PGSQL.

The PL/pgSQL function execution plan is...

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