'like ('%this%' OR '%that%') and something=else' not working
If LIKE ('%this%' OR '%that%') and something=else
is not working, use separate LIKE
clauses with an OR
operator between them. And, use AND
for additional constraints. Here’s how:
This query fetches records where the col
field contains either 'this' or 'that' and where col2
strictly equals 'else'.
Breaking down the syntax
Using multiple LIKE
clauses with the OR
operator requires brackets ( )
. This is to ensure that conditions inside brackets are processed as a singular group. Without using them, SQL might interpret the query in a way you did not expect, leading to unintended results.
For instance, not using brackets properly:
The query could be understood as col LIKE '%this%' OR (col LIKE '%that%' AND col2 = 'else')
, which is unlikely your intention.
Pattern matching with REGEXP
If you need a more flexible alternative to LIKE
for pattern matching, consider the REGEXP
operator:
The REGEXP
operator matches rows where col
contains either 'this' or 'that' - a nightmare for indecisive individuals!🙃 Note, however, REGEXP
can match strings that correspond to multiple patterns, even strings that include both. Be mindful of potential performance impacts, particularly on larger datasets - we don't mean to time travel back to dial-up speeds!😅
Towards clearer SQL queries
To make your SQL queries not just merely correct but easily readable and maintainable, consider these wise practices:
- Break up complex queries into manageable, logical blocks - like legos!
- Comment your SQL code - colleagues from your future self will thank you!
- Test individual patterns for accuracy - no one likes surprises in production!
- Use SQL functions and operators as they are designed - they are not fond of rebellions!
By employing these best practices, you will create SQL queries that are simultaneously efficient, understandable, and maintainable.
Advanced strategies for pattern matching
Clearly defining and managing overlapping patterns or matching patterns with variants adds complexity to pattern matching. Some advanced strategies include:
- Using case statements: Implement different actions for each pattern match. Just like wardrobe choices for weather variations!
- Pattern grouping: For related patterns, group 'em up, cowboy.
- Escape characters: When a pattern includes wildcard
%
or_
, escape them to differentiate from SQL syntax.
Mastering these strategies will turn you into a proficient SQL pattern matching guru.
Was this article helpful?