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Learning PostgreSQL 11

Learning PostgreSQL 11

By : Christopher Travers, Volkov
2.7 (6)
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Learning PostgreSQL 11

Learning PostgreSQL 11

2.7 (6)
By: Christopher Travers, 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)
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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 can't 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's full-text search provides many other features. The full-text search supports dictionaries, so it can support language, such as synonyms.

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