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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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Indexes

An index is a physical database object that's defined in a table column or a list of columns. In PostgreSQL, there are many types of indexes and several ways to use them. Indexes can be used, in general, to do the following:

  • Optimize performance: An index allows for the efficient retrieval of a small number of rows from the table. Whether the number of rows is considered small is determined by the total number of rows in the table and the execution planner settings.
  • Validate constraints: An index can be used to validate the constraints on several rows. For example, the UNIQUE check constraint creates a unique index on the column behind the scenes.

The following example shows how to use GIST to forbid overlapping between date ranges. Checking for date overlapping is very important in reservation systems, such as car and hotel reservation systems. For more information...

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