create table empl(emp_id int, ename varchar(12),gender varchar(8), DOB datetime, job
varchar(15), dept_no int, DOJ datetime, salary int, commission int);
insert into empl values(101, 'DEEPANSHI', 'Female', '2000-05-02', 'Executive', 10, '2021-02-09',
55000, 3000);
insert into empl values(102, 'RIDDHI', 'Female', '1998-02-02', 'Analyst', 20,' 2022-01-01', 18000,
2500);
insert into empl values(103, 'GAGAN', 'Male', '2001-10-02', 'Clerk', 30, '2020-02-11', 15000,
2500);
insert into empl values(104, 'DIPESH', 'Male', '1999-01-02', 'Executive', 30, '2019-07-12', 60000,
1200);
insert into empl values(105, 'YASHITA', 'Female', '1960-05-01', 'Assistant', 30, '1980-12-17',
5000, 590);
insert into empl values(106, 'SHWETA', 'Female', '1996-07-08', 'Officer', 10, '2020-05-03',
52000, 3000);
insert into empl values(107, 'VINIT', 'Male', '1997-11-10', 'Manager', 20, '2021-09-21', 70000,
3500);
insert into empl values(108, 'MUSKAN', 'Female', '2000-09-10', 'Analyst', 10, '2021-06-10', 2500,
250);
insert into empl values(109, 'ANKIT', 'Male', '1998-01-09', 'Clerk', 30, '2022-01-01', 1500, 230);
insert into empl values(110, 'AKSHITAI', 'Female', '1999-01-09', 'Clerk', 10, '2022-01-01', 28000,
2000);
insert into empl values(111, 'RAHUL', 'Male', '1998-05-09', 'Manager', 10, '2022-01-01', 55000,
3000);
select * from empl;
select min(salary) as minimum, max(salary) as maximum, avg(salary) as average from empl;
select count(emp_id) as 'total no. of employees' from empl;
select max(salary)- min(salary) as Difference from empl;
select count(emp_id) as 'Total no. of Employees' from empl where dept_no=10;
select sum(salary) as 'Total Salary', avg(salary) as 'Average Salary' from empl where
dept_no=30;
select min(commission) as minimum from empl;
select date(DOJ) from Employee where DOJ<'2019-07-12';
select count(emp_id) as 'No. of Employees' from empl where gender='Female' and dept_no=10;
select max(commission) as 'maximum commission' from empl where gender='male';
select count(emp_id) from empl where DOJ='2022-01-01';
select max(commission) as maximum from empl;
select sum(commission) as 'Total Commission' from empl where dept_no=10;
select date(DOJ) from empl where DOJ>'2021-09-21';
select avg(commission) as 'Average Commission' from empl where dept_no=30;
select max(commission) as maximum, min(commission) as minimum, avg(commission) as
average from empl where dept_no=10;
select max(commission) as 'maximum commission' from empl where gender='Female';
alter table empl add annual_sal int;
update empl set annual_sal=55000*12 where emp_id=101;
update empl set annual_sal=18000*12 where emp_id=102;
update empl set annual_sal=15000*12 where emp_id=103;
update empl set annual_sal=60000*12 where emp_id=104;
update empl set annual_sal=5000*12 where emp_id=105;
update empl set annual_sal=52000*12 where emp_id=106;
update empl set annual_sal=70000*12 where emp_id=107;
update empl set annual_sal=2500*12 where emp_id=108;
update empl set annual_sal=1500*12 where emp_id=109;
update empl set annual_sal=28000*12 where emp_id=110;
update empl set annual_sal=55000*12 where emp_id=111;
select ename,annual_sal from empl;
select count(emp_id) as 'No. of Managers' from empl where job='Manager'; 

MySQL online editor

Write, Run & Share MySQL queries online using OneCompiler's MySQL online editor and compiler for free. It's one of the robust, feature-rich online editor and compiler for MySQL. Getting started with the OneCompiler's MySQL editor is really simple and pretty fast. The editor shows sample boilerplate code when you choose language as 'MySQL' and start writing queries to learn and test online without worrying about tedious process of installation.

About MySQL

MySQL is a open-source, free and very popular relational database management system which is developed, distributed and supported by Oracle corporation.

Key Features:

  • Open-source relational database management systems.
  • Reliable, very fast and easy to use database server.
  • Works on client-server model.
  • Highly Secure and Scalable
  • High Performance
  • High productivity as it uses stored procedures, triggers, views to write a highly productive code.
  • Supports large databases efficiently.
  • Supports many operating systems like Linux*,CentOS*, Solaris*,Ubuntu*,Windows*, MacOS*,FreeBSD* and others.

Syntax help

Commands

1. CREATE

CREATE TABLE table_name (
                column1 datatype,
                column2 datatype,
                ....);

Example

CREATE TABLE EMPLOYEE (
  empId INTEGER PRIMARY KEY,
  name TEXT NOT NULL,
  dept TEXT NOT NULL
);

2. ALTER

ALTER TABLE Table_name ADD column_name datatype;

Example

INSERT INTO EMPLOYEE VALUES (0001, 'Dave', 'Sales');

3. TRUNCATE

TRUNCATE table table_name;

4. DROP

DROP TABLE table_name;

5. RENAME

RENAME TABLE table_name1 to new_table_name1; 

6. COMMENT

Single-Line Comments:

 --Line1;

Multi-Line comments:

   /* Line1,
   Line2 */

DML Commands

1. INSERT

INSERT INTO table_name (column1, column2, column3, ...) VALUES (value1, value2, value3, ...);

Note: Column names are optional.

Example

INSERT INTO EMPLOYEE VALUES (0001, 'Ava', 'Sales');

2. SELECT

SELECT column1, column2, ...
FROM table_name
[where condition]; 

Example

SELECT * FROM EMPLOYEE where dept ='sales';

3. UPDATE

UPDATE table_name
SET column1 = value1, column2 = value2, ...
WHERE condition; 

Example

UPDATE EMPLOYEE SET dept = 'Sales' WHERE empId='0001'; 

4. DELETE

DELETE FROM table_name where condition;

Example

DELETE from EMPLOYEE where empId='0001'; 

Indexes

1. CREATE INDEX

  CREATE INDEX index_name on table_name(column_name);
  • To Create Unique index:
  CREATE UNIQUE INDEX index_name on table_name(column_name);

2. DROP INDEX

DROP INDEX index_name ON table_name;

Views

1. Create a View

Creating a View:
CREATE VIEW View_name AS 
Query;

2. How to call view

SELECT * FROM View_name;

3. Altering a View

ALTER View View_name AS 
Query;

4. Deleting a View

DROP VIEW View_name;

Triggers

1. Create a Trigger

CREATE TRIGGER trigger_name trigger_time trigger_event
    ON tbl_name FOR EACH ROW [trigger_order] trigger_body
/* where
trigger_time: { BEFORE | AFTER }
trigger_event: { INSERT | UPDATE | DELETE }
trigger_order: { FOLLOWS | PRECEDES } */

2. Drop a Trigger

DROP TRIGGER [IF EXISTS] trigger_name;

Stored Procedures

1. Create a Stored Procedure

CREATE PROCEDURE sp_name(p1 datatype)
BEGIN
/*Stored procedure code*/
END;

2. How to call Stored procedure

CALL sp_name;

3. How to delete stored procedure

DROP PROCEDURE sp_name;

Joins

1. INNER JOIN

SELECT * FROM TABLE1 INNER JOIN TABLE2 where condition;

2. LEFT JOIN

SELECT * FROM TABLE1 LEFT JOIN TABLE2 ON condition;

3. RIGHT JOIN

SELECT * FROM TABLE1 RIGHT JOIN TABLE2 ON condition;

4. CROSS JOIN

SELECT select_list from TABLE1 CROSS JOIN TABLE2;