๐Ÿงฌ SQL Operators & Conditions
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๐Ÿ”ฃ SQL Operators โ€“ Arithmetic, Comparison, Logical & More

๐Ÿงฒ Introduction โ€“ What Are SQL Operators?

SQL operators are symbols or keywords used to perform operations on data in a SQL statement. They help you compare, calculate, combine, and evaluate values in expressions.

๐ŸŽฏ In this guide, youโ€™ll learn:

  • Types of SQL operators: arithmetic, comparison, logical, bitwise
  • Syntax and usage in WHERE, SELECT, and expressions
  • Best practices for writing readable and efficient queries

โž• 1. Arithmetic Operators

Used for basic mathematical calculations.

OperatorOperationExampleResult Description
+Additionprice + taxAdds two values
Subtractiontotal - discountSubtracts values
*Multiplicationquantity * priceMultiplies values
/Divisiontotal / countDivides values
%Moduloage % 2Remainder of division (even/odd)

๐Ÿงฎ 2. Comparison Operators

Used to compare values in WHERE, CASE, joins, etc.

OperatorMeaningExample
=Equal toWHERE age = 25
<> or !=Not equal toWHERE status != 'new'
>Greater thanWHERE salary > 50000
<Less thanWHERE age < 30
>=Greater or equal toWHERE score >= 80
<=Less or equal toWHERE height <= 180

๐Ÿง  3. Logical Operators

Combine multiple conditions in a query.

OperatorMeaningExample
ANDBoth conditions trueWHERE age > 18 AND country = 'USA'
ORAt least one is trueWHERE role = 'Admin' OR role = 'Manager'
NOTReverses a conditionWHERE NOT status = 'inactive'

๐Ÿ”Ž 4. Special/Other Operators

Include pattern matching, set membership, range filtering.

OperatorDescriptionExample
LIKEPattern matchingname LIKE 'A%'
INValue is in a liststatus IN ('active', 'new')
BETWEENValue within a rangeprice BETWEEN 10 AND 50
IS NULLValue is NULLemail IS NULL
IS NOT NULLValue is not NULLemail IS NOT NULL

๐Ÿงช 5. Bitwise Operators (SQL Server / MySQL)

Rare but used for binary-level calculations.

OperatorMeaningExample
&Bitwise AND5 & 3 โ†’ 1
Bitwise OR
^Bitwise XOR5 ^ 3 โ†’ 6
~Bitwise NOT (negate)~5 โ†’ -6

๐Ÿ“˜ Best Practices

โœ… RecommendedโŒ Avoid This
Use parentheses in logical groupsMixing AND/OR without parentheses
Use aliases for expressionsLeaving long calculations unaliased
Combine operators logicallyOverusing nested/unclear logic

๐Ÿ“Œ Summary โ€“ Recap & Next Steps

SQL operators give your queries logical power and expression-building capabilities. They enable filtering, math, conditionals, and control flows.

๐Ÿ” Key Takeaways:

  • Arithmetic: +, -, *, /, %
  • Comparison: =, <>, <, >, <=, >=
  • Logical: AND, OR, NOT
  • Special: LIKE, IN, BETWEEN, IS NULL

โš™๏ธ Real-World Relevance:
Used in business logic, analytics, dashboards, search filtering, and data validation.

โžก๏ธ Next: Explore advanced expressions like CASE, COALESCE, and NULLIF.


โ“ FAQ โ€“ SQL Operators

โ“ What are the most common SQL operators?

โœ… =, AND, OR, LIKE, IN, and arithmetic operators like + and *.

โ“ Whatโ€™s the difference between = and LIKE?

โœ… = checks exact matches. LIKE allows wildcard pattern matching.

โ“ Can I mix logical and comparison operators?

โœ… Yes. Use parentheses to control evaluation order.

โ“ Are bitwise operators used often?

โœ… Rare in SQL queries, mostly for low-level or binary data processing.


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