How to concatenate columns in a PostgreSQL SELECT?
If you "just want some code", join columns in PostgreSQL by using the ||
operator. Using columns first_name
and last_name
in users
as an example:
The output would be a concatenated full_name
. But the specter of NULL
can ruin our fun:
The COALESCE
function replaces NULL
with a default, ensuring no NULL
results.
Robust concatenation with CONCAT
To protect your code from NULL
-induced interruptions, use the CONCAT function, which treats NULL
like an empty string:
The great quote brawl: Single vs Double
In the battle between single (' ') and double (" ") quotes, remember: single quotes handle string literals, double quotes deal with identifiers:
Single quotes here denote static text, and the double quotes identify a column. No need for a referee, PostgreSQL knows their strengths.
Size does matter: Avoiding data truncation
To dodge any size-related accidents, consider the length of your concatenated results. Beware of the VARCHAR(max_length) type, it might truncate your strings. If in doubt, TEXT type is your friend:
Keeping performance in check
Repeatedly concatenating large data can slow your roll. If concatenation is a common operation, consider pre-calculated or indexed computed columns:
Type, cast, and action!
Remember to match datatypes when concatenating. If you're trying to marry a numeric value with a string, you need to cast the numeric to text:
Nuances of NULL handling
In PostgreSQL, a NULL
joined with any string is, ironically, NULL
:
But using COALESCE
ensures NULL
becomes "Mr. Reliable":
Real-world utility
Consider scenarios that need concatenation:
- Dynamic query generation: Combine variable inputs to brew SQL statements.
- Table alterations and migration: Combine columns when altering table structure.
- User-friendly representation: String pieces together for easy human consumption.
Look before you leap! Common traps
Avoid these common pitfalls:
- Invisible NULL values: Can lead to unexpected voids in your result.
- Quote mix-ups: Misused single or double quotes can cause syntax errors.
- Neglecting performance: Heavy concatenation without optimization can weigh on your database.
Was this article helpful?