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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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A PostgreSQL full text search


PostgreSQL provides a full text search capability, which is used to overcome SQL pattern matching operators, including LIKE and ILIKE, boosting the performance of the text search. For example, even though an index on text using the text_pattern_op class is supported, this index cannot be used to match a non-anchored text search.

Another issue with the traditional LIKE and ILIKE operators is the ranking based on similarity and natural language linguistic support. The LIKE and ILIKE operators always evaluate a Boolean value: either as TRUE or as FALSE.

In addition to ranking and non-anchored text search support, PostgreSQL full text search provides many other features. Full text search supports dictionaries, so it can support language, such as synonyms.

The tsquery and tsvector data types

The full text search is based on the tsvector and tsquery datatypes. Here, tsvector represents a document in a normalized state and tsquery represents the query.

The tsvector data...

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