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20 Essential SQL Queries for Data Management and Analysis

1. SELECT * FROM table_name:

This query will retrieve all of the data from a specific table.

SELECT * FROM table_name;

2. SELECT column_name FROM table_name:

This query will retrieve a specific column from a table.

SELECT column_name FROM table_name;

3. SELECT * FROM table_name WHERE condition:

This query will retrieve all of the data from a table where a certain condition is met. For example, “SELECT * FROM users WHERE age > 30” will retrieve all rows from the “users” table where the age column is greater than 30.

SELECT * FROM table_name WHERE condition;

4. INSERT INTO table_name (column_1, column_2) VALUES (value_1, value_2):

This query will insert a new row into a table, with the specified values for each column.

INSERT INTO table_name (column_1, column_2) VALUES (value_1, value_2);

5. UPDATE table_name SET column_name = new_value WHERE condition:

This query will update the value of a specific column in a table, where a certain condition is met.

UPDATE table_name SET column_name = new_value WHERE condition;

6. DELETE FROM table_name WHERE condition:

This query will delete rows from a table where a certain condition is met.

DELETE FROM table_name WHERE condition;

7. CREATE TABLE table_name (column_1 datatype, column_2 datatype):

This query will create a new table with the specified column names and data types.

CREATE TABLE table_name (column_1 datatype, column_2 datatype);

8. ALTER TABLE table_name ADD column_name datatype:

This query will add a new column to an existing table.

ALTER TABLE table_name ADD column_name datatype;

9. DROP TABLE table_name:

This query will delete a table from the database.

DROP TABLE table_name;

10. SELECT COUNT(*) FROM table_name:

This query will return the number of rows in a table.

SELECT COUNT(*) FROM table_name;

11. SELECT DISTINCT column_name FROM table_name:

This query will return only unique values from a specific column in a table.

SELECT DISTINCT column_name FROM table_name;

12. SELECT column_name1, column_name2 FROM table_name:

This query will retrieve multiple columns from a table.

SELECT column_name1, column_name2 FROM table_name;

13. SELECT column_name FROM table_name WHERE condition ORDER BY column_name:

This query will retrieve data from a table and sort the results by a specific column.

SELECT column_name FROM table_name WHERE condition ORDER BY column_name;

14. SELECT column_name FROM table_name LIMIT number:

This query will retrieve a specific number of rows from a table.

SELECT column_name FROM table_name LIMIT number;

15. SELECT * FROM table_name INNER JOIN table_name ON condition:

This query will retrieve data from two tables, using an inner join to match rows that meet the specified condition.

SELECT * FROM table_name INNER JOIN table_name ON condition;

16. SELECT * FROM table_name LEFT JOIN table_name ON condition:

This query will retrieve data from two tables, using a left join to include all rows from the first table and any matching rows from the second table.

SELECT * FROM table_name LEFT JOIN table_name ON condition;

17. SELECT * FROM table_name RIGHT JOIN table_name ON condition:

This query will retrieve data from two tables, using a right join to include all rows from the second table and any matching rows from the first table.

SELECT * FROM table_name RIGHT JOIN table_name ON condition;

18. SELECT column_name FROM table_name WHERE column_name IN (value1, value2, value3):

This query will retrieve data from a table where the value of a specific column matches any of the specified values.

SELECT column_name FROM table_name WHERE column_name IN (value1, value2, value3);

19. SELECT column_name FROM table_name WHERE column_name BETWEEN value1 AND value2:

This query will retrieve data from a table where the value of a specific column is between two specified values.

SELECT column_name FROM table_name WHERE column_name BETWEEN value1 AND value2;

20. SELECT column_name FROM table_name WHERE column_name LIKE pattern:

This query will retrieve data from a table where the value of a specific column matches a specified pattern. The pattern can include wildcards such as % (matches any number of characters) and _ (matches a single character).

SELECT column_name FROM table_name WHERE column_name LIKE pattern;
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