Book Image

PostgreSQL Development Essentials

By : Baji Shaik
Book Image

PostgreSQL Development Essentials

By: Baji Shaik

Overview of this book

PostgreSQL is the most advanced open source database in the world. It is easy to install, configure, and maintain by following the documentation; however, it’s difficult to develop applications using programming languages and design databases accordingly. This book is what you need to get the most out of PostgreSQL You will begin with advanced SQL topics such as views, materialized views, and cursors, and learn about performing data type conversions. You will then perform trigger operations and use trigger functions in PostgreSQL. Next we walk through data modeling, normalization concepts, and the effect of transactions and locking on the database. The next half of the book covers the types of indexes, constrains, and the concepts of table partitioning, as well as the different mechanisms and approaches available to write efficient queries or code. Later, we explore PostgreSQL Extensions and Large Object Support in PostgreSQL. Finally, you will perform database operations in PostgreSQL using PHP and Java. By the end of this book, you will have mastered all the aspects of PostgreSQL development. You will be able to build efficient enterprise-grade applications with PostgreSQL by making use of these concepts
Table of Contents (17 chapters)
PostgreSQL Development Essentials
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface

Using the Union join


The PostgreSQL UNION clause is used to combine the results of two or more SELECT statements without returning any duplicate rows.

The basic rules to combine two or more queries using the UNION join are as follows:

  • The number and order of columns of all queries must be the same

  • The data types of the columns on involving table in each query must be same or compatible

  • Usually, the returned column names are taken from the first query

By default, the UNION join behaves like DISTINCT, that is, eliminates the duplicate rows; however, using the ALL keyword with the UNION join returns all rows, including the duplicates, as shown in the following example:

SELECT <column_list>
FROM  table 
WHERE  condition
GROUP BY  <column_list>  [HAVING ] condition
UNION
SELECT <column_list>
FROM  table 
WHERE  condition
GROUP BY  <column_list>  [HAVING ] condition
ORDER BY column list;

The queries are all executed independently, but their output is merged. The Union operator may place rows in the first query, before, after, or in between the rows in the result set of the second query. To sort the records in a combined result set, you can use ORDER BY.

Let's consider an example where you combine the data of customers belonging to two different sites. The table structure of both the tables is the same, but they have data of the customers from two different sites:

SELECT customer_id,customer_name,location_id
FROM  customer_site1 
UNION
SELECT customer_id,customer_name,location_id
FROM  customer_site2
ORDER BY customer_name  asc;

Both the SELECT queries would run individually, combine the result set, remove the duplicates (as we are using UNION), and sort the result set according to the condition, which is customer_name in this case.