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PostgreSQL 9 Administration Cookbook - Second Edition

You're reading from  PostgreSQL 9 Administration Cookbook - Second Edition

Product type Book
Published in Apr 2015
Publisher Packt
ISBN-13 9781849519069
Pages 504 pages
Edition 1st Edition
Languages
Toc

Table of Contents (19) Chapters close

PostgreSQL 9 Administration Cookbook Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. First Steps 2. Exploring the Database 3. Configuration 4. Server Control 5. Tables and Data 6. Security 7. Database Administration 8. Monitoring and Diagnosis 9. Regular Maintenance 10. Performance and Concurrency 11. Backup and Recovery 12. Replication and Upgrades Index

Enforcing the same name and definition for columns


Sensibly designed databases have smooth, easy-to-understand definitions. This allows all users to understand the meaning of data in each table. It is an important way of removing data quality issues.

Getting ready

If you want to run the queries in this recipe as a test, then use the following examples. Alternatively, you can just check for problems in your own database:

CREATE SCHEMA s1;
CREATE SCHEMA s2;
CREATE TABLE s1.X
(col1 smalliER
,col2 TEXT);
CREATE TABLE s2.X
(col1 smallint
,col3 NUMERIC);

How to do it…

First, we will show you how to identify columns that are defined in different ways in different tables, using a query against the catalog. We use an Information Schema query, as follows:

SELECT
 table_schema
,table_name
,column_name
,data_type
  ||coalesce(' ' || text(character_maximum_length), '')
  ||coalesce(' ' || text(numeric_precision), '')
  ||coalesce(',' || text(numeric_scale), '')
  as data_type
FROM information_schema.columns...
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