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'like ('%this%' OR '%that%') and something=else' not working

sql
pattern-matching
sql-queries
best-practices
Alex KataevbyAlex Kataev·Oct 1, 2024
TLDR

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:

SELECT * FROM table WHERE (col LIKE '%this%' OR col LIKE '%that%') AND col2 = 'else';

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:

SELECT * FROM table WHERE col LIKE '%this%' OR col LIKE '%that%' AND col2 = 'else';

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:

SELECT * FROM table WHERE col REGEXP 'this|that' AND col2 = 'else';

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.