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Mastering PostgreSQL 13

You're reading from   Mastering PostgreSQL 13 Build, administer, and maintain database applications efficiently with PostgreSQL 13

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Product type Paperback
Published in Nov 2020
Publisher Packt
ISBN-13 9781800567498
Length 476 pages
Edition 4th Edition
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Concepts
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Author (1):
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Hans-Jürgen Schönig Hans-Jürgen Schönig
Author Profile Icon Hans-Jürgen Schönig
Hans-Jürgen Schönig
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Table of Contents (15) Chapters Close

Preface 1. PostgreSQL 13 Overview 2. Understanding Transactions and Locking FREE CHAPTER 3. Making Use of Indexes 4. Handling Advanced SQL 5. Log Files and System Statistics 6. Optimizing Queries for Good Performance 7. Writing Stored Procedures 8. Managing PostgreSQL Security 9. Handling Backup and Recovery 10. Making Sense of Backups and Replication 11. Deciding on Useful Extensions 12. Troubleshooting PostgreSQL 13. Migrating to PostgreSQL 14. Other Books You May Enjoy

Understanding simple queries and the cost model

In this section, we will get started with indexes. To understand how things work, some test data is needed. The following code snippet shows how data can be created easily:

test=# DROP TABLE IF EXISTS t_test;
DROP TABLE
test=# CREATE TABLE t_test (id serial, name text);

CREATE TABLE
test=# INSERT INTO t_test (name) SELECT 'hans'
FROM generate_series(1, 2000000);
INSERT 0 2000000
test=# INSERT INTO t_test (name) SELECT 'paul'
FROM generate_series(1, 2000000);
INSERT 0 2000000

In the first line, a simple table is created. Two columns are used; the first is an auto-increment column that just keeps creating numbers, and the second is a column that will be filled with static values.

The generate_series function will generate numbers from 1 to 2 million. So, in this example, 2 million static values for hans and 2 million static values for paul are created.

In all, 4 million rows have been added:

test=# SELECT name, count...
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