Book Image

Learn PostgreSQL - Second Edition

By : Luca Ferrari, Enrico Pirozzi
1 (2)
Book Image

Learn PostgreSQL - Second Edition

1 (2)
By: Luca Ferrari, Enrico Pirozzi

Overview of this book

The latest edition of this PostgreSQL book will help you to start using PostgreSQL from absolute scratch, helping you to quickly understand the internal workings of the database. With a structured approach and practical examples, go on a journey that covers the basics, from SQL statements and how to run server-side programs, to configuring, managing, securing, and optimizing database performance. This new edition will not only help you get to grips with all the recent changes within the PostgreSQL ecosystem but will also dig deeper into concepts like partitioning and replication with a fresh set of examples. The book is also equipped with Docker images for each chapter which makes the learning experience faster and easier. Starting with the absolute basics of databases, the book sails through to advanced concepts like window functions, logging, auditing, extending the database, configuration, partitioning, and replication. It will also help you seamlessly migrate your existing database system to PostgreSQL and contains a dedicated chapter on disaster recovery. Each chapter ends with practice questions to test your learning at regular intervals. By the end of this book, you will be able to install, configure, manage, and develop applications against a PostgreSQL database.
Table of Contents (22 chapters)
20
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21
Index

Verify your knowledge

  • Is it possible to perform declarative partitioning in PostgreSQL?

    Yes, starting from PostgreSQL 10, it is possible to use declarative partitioning.

    See the Exploring declarative partitioning section for more details.

  • If we have a table such as:
    CREATE TABLE mytable (
         pk serial NOT NULL,
         create_date date not null default now()::date,
         primary key (pk)
    )
    
  • Is it possible to partition that table for range? Yes, it is possible by writing something like the following:
    CREATE TABLE mytable (
         pk serial NOT NULL,
         create_date date not null default now()::date,
         primary key (pk,creat_edate)
    )PARTITION BY RANGE (create_date);
    CREATE TABLE
    forumdb=> CREATE TABLE part_tags_date_01 PARTITION OF part_tags FOR VALUES FROM (‘2023-01-01’) TO (‘2023-06-31’);
    forumdb=> CREATE TABLE part_tags_date_01 PARTITION OF part_tags FOR VALUES FROM (‘2023...