Book Image

Learn PostgreSQL

By : Luca Ferrari, Enrico Pirozzi
Book Image

Learn PostgreSQL

By: Luca Ferrari, Enrico Pirozzi

Overview of this book

PostgreSQL is one of the fastest-growing open source object-relational database management systems (DBMS) in the world. As well as being easy to use, it’s scalable and highly efficient. In this book, you’ll explore PostgreSQL 12 and 13 and learn how to build database solutions using it. Complete with hands-on tutorials, this guide will teach you how to achieve the right database design required for a reliable environment. You'll learn how to install and configure a PostgreSQL server and even manage users and connections. The book then progresses to key concepts of relational databases, before taking you through the Data Definition Language (DDL) and commonly used DDL commands. To build on your skills, you’ll understand how to interact with the live cluster, create database objects, and use tools to connect to the live cluster. You’ll then get to grips with creating tables, building indexes, and designing your database schema. Later, you'll explore the Data Manipulation Language (DML) and server-side programming capabilities of PostgreSQL using PL/pgSQL, before learning how to monitor, test, and troubleshoot your database application to ensure high-performance and reliability. By the end of this book, you'll be well-versed with the Postgres database and be able to set up your own PostgreSQL instance and use it to build robust solutions.
Table of Contents (27 chapters)
Section 1: Getting Started
Section 2: Interacting with the Database
Section 3: Administering the Cluster
Section 4: Replication
Section 5: The PostegreSQL Ecosystem

Exploring partitioning using inheritance

At this point in the book, we have all the elements necessary to partition data. In the previous chapter, we learned how to use triggers and rules to move data between tables. In this chapter, we just learned that it is possible using inheritance to query a parent table and manage the data of child tables. In the next section, we will do partitioning using the declarative partitioning method, available on PostgreSQL starting from version 10.x.

An example of list partitioning

In this first example, we will try to create a partitioned table using the list partitioning logic. In the next section, we will create a partitioned table using the range partitioning logic, starting from a table such as the following:

pk tag level
1 vegetables 0
2 fruits 0
3 orange 1
4 apple 1
5 red apple 2

Our goal is to split our data using the value of the level field. The goal that we want to reach is to have 4 levels and we want to have 1 table for...