Learn to Code SQL Example – SQL | ALTER (ADD, DROP, MODIFY)

(SQL Example for Citizen Data Scientist & Business Analyst)

 

SQL | ALTER (ADD, DROP, MODIFY)

ALTER TABLE is used to add, delete/drop or modify columns in the existing table. It is also used to add and drop various constraints on the existing table.

ALTER TABLE – ADD

ADD is used to add columns into the existing table. Sometimes we may require to add additional information, in that case we do not require to create the whole database again, ADD comes to our rescue.

Syntax:

 ALTER TABLE table_name
              ADD (Columnname_1  datatype,
              Columnname_2  datatype,
              …
              Columnname_n  datatype);

ALTER TABLE – DROP

Syntax:

ALTER TABLE table_name
DROP COLUMN column_name;

ALTER TABLE-MODIFY

It is used to modify the existing columns in a table. Multiple columns can also be modified at once.
*Syntax may vary slightly in different databases.

Syntax(Oracle,MySQL,MariaDB):

 ALTER TABLE table_name
MODIFY column_name column_type;

Syntax(SQL Server):

 ALTER TABLE table_name
ALTER COLUMN column_name column_type;

Queries

Sample Table:

Student

ROLL_NO NAME
1 Ram
2 Abhi
3 Rahul
4 Tanu

QUERY:

  • To ADD 2 columns AGE and COURSE to table Student.
 ALTER TABLE Student ADD (AGE number(3),COURSE varchar(40));

OUTPUT:

ROLL_NO NAME AGE COURSE
1 Ram
2 Abhi
3 Rahul
4 Tanu
  • MODIFY column COURSE in table Student
 ALTER TABLE Student MODIFY COURSE varchar(20);

After running the above query maximum size of Course Column is reduced to 20 from 40.

  • DROP column COURSE in table Student.
 ALTER TABLE Student DROP COLUMN COURSE;

OUTPUT:

ROLL_NO NAME AGE
1 Ram
2 Abhi
3 Rahul
4 Tanu

 

How to drop ROW and COLUMN in a Pandas DataFrame in Python

 

Learn to Code SQL Example – SQL | ALTER (ADD, DROP, MODIFY)

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