Preamble
PostgreSQL condition OR is used to check two or more conditions under which records are returned when any of these conditions are met. It can be used in SELECT, INSERT, UPDATE, or DELETE statements.
The syntax for OR condition in PostgreSQL
WHERE condition1
OR condition2
…
OR condition_n;
Parameters and arguments of the condition
- condition1, condition2, condition_n are any conditions that must be met to select records.
Note:
- PostgreSQL condition OR allows checking 2 or more conditions.
- PostgreSQL condition OR requires that any condition (i.e.: condition1, condition2, condition_n) is met to include a record in the resulting set.
Example of a condition with the SELECT operator
The first example of the PostgreSQL condition OR that we will look at includes a SELECT operator with two conditions:
SELECT *
FROM products
WHERE product_type = 'Hardware'
OR product_id > 400;
In this PostgreSQL example, the OR condition will return all records from products with product_type equal to ‘Hardware’ or product_id greater than 400. Since the SELECT operator uses *, all fields from the products table will appear in the result set.
Example of a condition with a SELECT operator (3 conditions)
In the following PostgreSQL example OR the SELECT operator with 3 conditions is considered. If any of these conditions are met, the record will be included in the result set.
SELECT product_id,
product_name
FROM products
WHERE product_type = 'Hardware'
OR product_type = 'Software'
OR product_id > 1000;
In this PostgreSQL example, the OR condition will return all product_id and product_name values from the products table, where product_type equals ‘Hardware’ or product_type is ‘Software’ or product_id greater than 1000.
Example condition with the INSERT operator
PostgreSQL condition OR can be used in the INSERT operator.
For example:
INSERT INTO products
(product_id, product_name)
SELECT inventory_id,
product_name
FROM inventory
WHERE quantity > 0
OR product_name = 'Memory';
This example of PostgreSQL OR will insert into the products table all inventory_id and product_name records from the inventory table whose size is greater than 0 or product_name equals ‘Memory’.
Example of a condition with the UPDATE operator
PostgreSQL condition OR can be used in UPDATE expression.
For example:
UPDATE products
SET product_type = 'Hardware'
WHERE product_name = 'Memory'
OR product_name = 'SSD';
In this PostgreSQL example, the OR condition will update all product_type values in the products table to ‘Hardware’, where product_name is ‘Memory’ or product_name is ‘SSD’.
Example of a condition with DELETE operator
PostgreSQL condition OR can be used in DELETE operators.
For example:
DELETE FROM contacts
WHERE last_name = 'Hard'
OR first_name = 'Jack';
In this PostgreSQL example, OR conditions will delete all records from the contacts table that had last_name with ‘Hard’ or first_name with ‘Jack’.
Postgres Conditionals: How to Use Case
About Enteros
IT organizations routinely spend days and weeks troubleshooting production database performance issues across multitudes of critical business systems. Fast and reliable resolution of database performance problems by Enteros enables businesses to generate and save millions of direct revenue, minimize waste of employees’ productivity, reduce the number of licenses, servers, and cloud resources and maximize the productivity of the application, database, and IT operations teams.
The views expressed on this blog are those of the author and do not necessarily reflect the opinions of Enteros Inc. This blog may contain links to the content of third-party sites. By providing such links, Enteros Inc. does not adopt, guarantee, approve, or endorse the information, views, or products available on such sites.
Are you interested in writing for Enteros’ Blog? Please send us a pitch!
RELATED POSTS
Revolutionizing Healthcare IT: Leveraging Enteros, FinOps, and DevOps Tools for Superior Database Software Management
- 21 November 2024
- Database Performance Management
In the fast-evolving world of finance, where banking and insurance sectors rely on massive data streams for real-time decisions, efficient anomaly man…
Optimizing Real Estate Operations with Enteros: Harnessing Azure Resource Groups and Advanced Database Software
In the fast-evolving world of finance, where banking and insurance sectors rely on massive data streams for real-time decisions, efficient anomaly man…
Revolutionizing Real Estate: Enhancing Database Performance and Cost Efficiency with Enteros and Cloud FinOps
In the fast-evolving world of finance, where banking and insurance sectors rely on massive data streams for real-time decisions, efficient anomaly man…
Enteros in Education: Leveraging AIOps for Advanced Anomaly Management and Optimized Learning Environments
In the fast-evolving world of finance, where banking and insurance sectors rely on massive data streams for real-time decisions, efficient anomaly man…