Database Research & Development

  • Home
  • NoSQL
    • NoSQL
    • Cassandra
  • Databases
    • Database Theory
    • Database Designing
    • SQL Server Coding Standards
    • SQL Server
    • PostgreSQL
    • MySQL
    • Greenplum
    • Linux
  • Interviews
    • SQL Server Interviews
    • MySQL Interviews
    • SQL Puzzles
  • DBA Scripts
    • SQL Server DBA Scripts
    • PostgreSQL DBA Scripts
    • MySQL DBA Scripts
    • Greenplum DBA Scripts
  • Home
  • Blog Archives !
  • (: Laugh@dbrnd :)
  • Contact Me !
sqlserverinterviews
Home 2015 November PostgreSQL: Performance difference between VARCHAR and VARCHAR(n)

PostgreSQL: Performance difference between VARCHAR and VARCHAR(n)

This article is half-done without your Comment! *** Please share your thoughts via Comment ***

If possible, you should avoid providing a length modifier to VARCHAR.
I found that many times we don’t require to add any restriction on VARCHAR length.

The main performance difference between VARCHAR and VARCHAR(n) is, VARCHAR don’t need to check any length rule, and VARCHAR(n) requires to check length rule before any execution.

Using VARCHAR, you can avoid unnecessary cycle for checking internal default validation or rule.

PostgreSQL also supports TEXT so even TEXT is a bit faster than VARCHAR.

If you are doing maintenance then?:

Imagine that, your table has a VARCHAR(10) column, and later you require to change the size to VARCHAR(30) and table size is around 10 GB.
For this requirement, you need ALTER command which may take a long time to execute because of the vast size of the table.

In this case, I suggest to use VARCHAR or TEXT and perform the limit validation from Front-end or write one CHECK Constraint on the column.

CHECK Constraint like:

1
ALTER TABLE MyTable ADD CONSTRAINT con_chk CHECK (length(col) < 30);

You can modify or drop such a CHECK constraint without disturbing to table definition. It performs faster because it doesn’t require any rewrites on table pages.

Nov 28, 2015Anvesh Patel
PostgreSQL: Prevent New User to access Newly Created DatabaseMySQL: Script to determine the size of innodb_buffer_pool_size
Anvesh Patel
Anvesh Patel

Database Engineer

November 28, 2015 PostgreSQLAnvesh Patel, database, database research and development, dbrnd, plpgsql, Postgres Query, postgresql, PostgreSQL Administrator, PostgreSQL Error, PostgreSQL Programming, PostgreSQL Tips and Tricks, VARCHAR
About Me!

I'm Anvesh Patel, a Database Engineer certified by Oracle and IBM. I'm working as a Database Architect, Database Optimizer, Database Administrator, Database Developer. Providing the best articles and solutions for different problems in the best manner through my blogs is my passion. I have more than six years of experience with various RDBMS products like MSSQL Server, PostgreSQL, MySQL, Greenplum and currently learning and doing research on BIGData and NoSQL technology. -- Hyderabad, India.

About DBRND !

dbrnd

This is a personal blog (www.dbrnd.com).

Any views or opinions represented in this blog are personal and belong solely to the blog owner and do not represent those of people, institutions or organizations that the owner may or may not be associated with in professional or personal capacity, unless explicitly stated.

Feel free to challenge me, disagree with me, or tell me I’m completely nuts in the comments section of each blog entry, but I reserve the right to delete any comment for any reason whatsoever (abusive, profane, rude, or anonymous comments) - so keep it polite.

The content of this website is protected by copyright. No portion of this website may be copied or replicated in any form without the written consent of the website owner.

Recent Comments !
  • Anvesh Patel { Sure will do... } – May 27, 12:43 PM
  • Anvesh Patel { Great... } – May 27, 12:41 PM
  • Anvesh Patel { Great... } – May 27, 12:39 PM
  • Anvesh Patel { Great... } – May 27, 12:36 PM
  • Anvesh Patel { Great... } – May 27, 12:28 PM
  • Anvesh Patel { Great... } – May 27, 12:27 PM
  • Anvesh Patel { Great... } – May 27, 12:16 PM
  • Older »
Follow Me !
  • facebook
  • linkedin
  • twitter
  • youtube
  • google
  • flickr
© 2015 – 2019 All rights reserved. Database Research & Development (dbrnd.com)
Posting....