Top 10 basic SQL Operations Query.

These are the top ten fundamental SQL queries that every person should be familiar with. SQL is simple to learn and allows you to quickly and efficiently do a wide range of tasks. Large-scale technology like SQL is always adding new capabilities across all industries. Structured Query Language, or SQL, is a tool that software developers can use to manipulate data, create applications, and perform database-driven operations. These were the ten most popular SQL queries for novices, albeit the list is not exclusive to them. All developers will benefit from using these SQL queries when creating applications.

1. Basic SQL Queries:

– Fetch all columns from a table:

– SELECT * FROM table_name;

– Get distinct values from a column:

SELECT DISTINCT column_name FROM table_name; Retrieve top N records from a table:

– SELECT * FROM table_name LIMIT N;

2. Filtering and Sorting: Filter rows where a column
equals a value: –

SELECT * FROM table_name WHERE column_name

= value;

Filter rows within a range:

– SELECT * FROM table_name WHERE column_name BETWEEN value1 AND value2;

Retrieve rows with NULL values in a column:

– SELECT * FROM table_name WHERE column_name IS NULL;

– Sort result set in ascending/descending order:

– SELECT * FROM table_name ORDER BY column_name ASC/DESC;

3. Aggregate Functions:

Count total rows:

– SELECT COUNT(*) FROM table_name;

– Calculate average, sum, min, max:

– SELECT AVG(column_name), SUM(column_name), MIN(column_name), MAX(column_name) FROM table_name;
Group and calculate aggregates:

– SELECT column_name, AVG(salary) FROM table_name GROUP BY column_name;

4. Joins:

-INNER, LEFT, RIGHT, FULL joins explained:

– INNER: Retrieve common rows from both tables.

– LEFT: All rows from the left table and matching rows from the right.

– RIGHT: All rows from the right table and matching from the left.

– FULL: All rows from both tables. Retrieve data from multiple tables: – SELECT * FROM table1 JOIN table2 ON table1.column_name = table2.column_name;

5. Subqueries:

– Using a subquery to retrieve data:

– SELECT * FROM table_name WHERE column_name IN (SELECT column_name FROM another_table);

– Comparing values between tables:

– SELECT * FROM table1 WHERE column_name = (SELECT column_name FROM table2 WHERE condition);

- Fetch all columns from a table:

- SELECT * FROM table_name;

- Get distinct values from a column:

SELECT DISTINCT column_name FROM table_name; Retrieve top N records from a table:

- SELECT * FROM table_name LIMIT N;

2. Filtering and Sorting: Filter rows where a column
equals a value: -

SELECT * FROM table_name WHERE column_name

= value;

Filter rows within a range:

- SELECT * FROM table_name WHERE column_name BETWEEN value1 AND value2;

Retrieve rows with NULL values in a column:

- SELECT * FROM table_name WHERE column_name IS NULL;

- Sort result set in ascending/descending order:

- SELECT * FROM table_name ORDER BY column_name ASC/DESC;

3. Aggregate Functions:

Count total rows:

- SELECT COUNT(*) FROM table_name;

- Calculate average, sum, min, max:

- SELECT AVG(column_name), SUM(column_name), MIN(column_name), MAX(column_name) FROM table_name;
Group and calculate aggregates:

- SELECT column_name, AVG(salary) FROM table_name GROUP BY column_name;

4. Joins:

-INNER, LEFT, RIGHT, FULL joins explained:

- INNER: Retrieve common rows from both tables.

- LEFT: All rows from the left table and matching rows from the right.

- RIGHT: All rows from the right table and matching from the left.

- FULL: All rows from both tables. Retrieve data from multiple tables: - SELECT * FROM table1 JOIN table2 ON table1.column_name = table2.column_name;

5. Subqueries:

- Using a subquery to retrieve data:

- SELECT * FROM table_name WHERE column_name IN (SELECT column_name FROM another_table);

- Comparing values between tables:

- SELECT * FROM table1 WHERE column_name = (SELECT column_name FROM table2 WHERE condition);

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