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What Are the 6 Clauses in SQL?
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radha
1 post
Dec 01, 2025
9:51 PM
SQL( Structured Query Language) is the standard language used to interact with relational databases.
It allows druggies to fit , modernize, cancel, sludge, and recoup data efficiently. While SQL has numerous commands and operations,
the abecedarian structure blocks of nearly every SQL query are clauses.

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Understanding SQL clauses is essential because they help structure queries, control affair, sludge data, and define how records should be reused.
Whether you're a freshman, a data critic, a software tester, or a backend inventor, learning these
SQL clauses will significantly ameliorate your capability to work effectively with databases.
In SQL, there are six primary clauses generally used to make queries
SELECT
FROM
WHERE
GROUP in
Keeping
ORDER in
These clauses are used in a fixed order and combine to produce important queries that recoup accurate and meaningful information.
Let’s dive deeply into each clause, its purpose, real- time exemplifications, and how they work together.
1. elect Clause
The SELECT clause is the most constantly used clause in SQL. It tells the database what data you want to recoup.
Purpose of SELECT
Displays one or further columns
Can display all columns using *
Supports functions like COUNT(), MAX(), MIN(), SUM(), AVG()
Supports expressions and aliasing

illustration
SELECT name, age, megacity FROM scholars;
This retrieves the name, age, and megacity of all scholars.
elect with alias
SELECT payment * 12 AS annual_salary FROM workers;
Why SELECT matters
It forms the affair structure. Without the SELECT clause, no data can be recaptured or displayed.

2. FROM Clause
The FROM clause specifies the table( s) from which data must be recaptured.
Purpose of FROM
Determines the source of the data
Allows joining multiple tables
workshop with subqueries
illustration
SELECT * FROM workers;
This retrieves all columns from the workers table.
Join illustration
SELECT e.emp_name, d.dept_name
FROM workers e
JOIN Departments d ON e.dept_id = d.dept_id;
Why FROM matters
It tells SQL where to cost data from. Without FROM, SELECT can not serve in utmost queries.
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3. WHERE Clause
The WHERE clause filters records grounded on a condition. It's used to prize only the necessary data rather of reacquiring all rows.
Purpose of WHERE
Pollutants rows
Uses logical drivers( AND, OR, NOT)
Uses comparison drivers( = ,>, = , 50000;
This retrieves workers earning further than ? 50,000.
WHERE with multiple conditions
SELECT * FROM Products
WHERE order = ' Electronics'
AND price BETWEEN 10000 AND 50000;
Why WHERE matters
It improves effectiveness, delicacy, and performance by filtering out gratuitous data.

4. GROUP in Clause
The GROUP in clause groups rows that partake analogous values into summary rows. It's substantially used with aggregate functions.
Purpose of GROUP in
Groups data into orders
Helps cipher summaries, summations, and pars
workshop with COUNT(), SUM(), AVG(), MAX(), MIN()
illustration
SELECT department, COUNT( *) AS employee_count
FROM workers
GROUP in department;
This counts the number of workers in each department.
Multiple groupings
SELECT megacity, gender, COUNT( *)
FROM scholars
GROUP in megacity, gender;
Why GROUP in matters
It's pivotal for assaying large datasets, generating reports, and recapitulating data meaningfully.

5. HAVING Clause
The Keeping clause pollutants groups created by GROUP in. It acts like a WHERE clause but is applied after grouping.
Purpose of HAVING
Pollutants added up data
Applies conditions on grouped records
workshop only with GROUP in
illustration
SELECT department, COUNT( *) AS emp_count
FROM workers
GROUP in department
Keeping COUNT( *)> 10;
This displays only departments that have further than 10 workers.
Why Keeping matters
WHERE can not filter added up results. That’s why Keeping exists to apply conditions on grouped summaries.

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DDL, DML, DCL Commands
SELECT Queries
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Final studies
SQL is one of the most important chops for anyone entering the world of data and IT.
Whether you want to work in software development, business analytics, ERP systems, or
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