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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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Table partitioning

Table partitioning is used to increase performance by physically arranging data in the hard disk based on a certain grouping criteria. There are two techniques for table partitioning:

  • Vertical table partitioning: The table is divided into several tables to decrease the row size. This allows a faster sequential scan on divided tables, as a relation page holds more rows. To explain, let's assume that we want to store pictures for each client in the database by adding a column of the byte or blob type to the client table. Now, since we have a table that might contain a big row, the number of rows per page is reduced. To solve this, you can create another table that references the client table, as follows:
CREATE TABLE client_picture (
id int primary key,
client_id int references client(id),
picture bytea NOT NULL
);
  • Horizontal table partitioning: This is used...

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