


How to Efficiently Query a Comma-Separated Column for a Specific Value?
How to Query a Comma-Separated Column for a Specific Value without Redundant LIKE Statements
Database tables often have columns that store comma-separated lists of values. To retrieve rows containing a particular value, one may use LIKE statements. However, using multiple LIKE statements can be cumbersome and ineffective.
Drawbacks of Using LIKE Statements
In the example provided, the table stores categories as comma-separated values:
ID | CATEGORIES --------------- 1 | c1 2 | c2,c3 3 | c3,c2 4 | c3 5 | c4,c8,c5,c100
To find rows containing "c2," one could use:
SELECT id FROM table WHERE categories LIKE '%c2%';
However, this would also match rows with "c2" anywhere in the string, resulting in false positives. Using multiple LIKE statements to check for specific combinations can be tedious and error-prone.
Alternative Approach: Comma-Delimited Search
A more efficient approach is to use a comma-delimited search:
select * from YourTable where ',' || CommaSeparatedValueColumn || ',' LIKE '%,SearchValue,%'
This query searches for the full value surrounded by commas, ensuring exact matches. However, it comes with limitations as it assumes no spaces or commas in the values.
Optimal Solution: Separate Category Table
To avoid these limitations and improve performance, it's highly recommended to create a separate category table linked to the main table with a many-to-many relationship. This enables efficient querying and data manipulation without cumbersome string operations or risk of false matches.
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