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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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Summary

There are several aspects to tuning the performance of PostgreSQL. These aspects are related to hardware configuration, network settings, and PostgreSQL configuration. PostgreSQL is often shipped with a configuration that isn't suitable for production. Due to this, you should at least configure the PostgreSQL buffer settings, RAM settings, the number of connections, and logging. Note that several PostgreSQL settings are correlated, such as the RAM settings and the number of connections. In addition, you should take great care with settings that require a server restart, because these are difficult to change in the production environment. Often, PostgreSQL produces a good execution plan if the physical structure of a database is normalized and the query is written properly. However, this isn't always the case. To overcome performance issues, PostgreSQL provides...

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