What is the difference between the LIKE and = operators in SQL?
Clarifies understanding of exact matching versus pattern matching in database queries.
Why Interviewers Ask This
Developers often confuse exact matches with partial matches. This question checks if you understand when to use precise equality versus flexible pattern matching. It is fundamental for writing accurate and efficient data retrieval logic.
How to Answer This Question
Define '=' as an operator for exact, case-sensitive (depending on DB) matching. Define 'LIKE' for pattern matching using wildcards. Give examples where one works and the other fails. Mention performance implications if relevant.
Key Points to Cover
- Exact vs Pattern matching
- Wildcard usage in LIKE
- Performance considerations
- Use cases for each
Sample Answer
The '=' operator checks for an exact match between the column value and the specified string. For example, 'name = 'John'' only returns rows where the name is exactly 'John'. The 'LIKE' operator, however, allows pattern matching using wildcards like '%' or '_'. So, 'name LIKE 'J%n'' would match 'John', 'Jane', etc. Using '=' is generally faster as it doesn't require pattern scanning.
Common Mistakes to Avoid
- Thinking LIKE always includes wildcards
- Confusing underscore with percent
- Ignoring case sensitivity nuances
- Using LIKE for exact values
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