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SQL INSERT STATEMENT

SQL INSERT statement is a SQL query. It is used to insert a single or a multiple records in a table.

There are two ways to insert data in a table:

  1. By SQL insert into statement
    1. By specifying column names
    2. Without specifying column names
  2. By SQL insert into select statement

1) Inserting data directly into a table

You can insert a row in the table by using SQL INSERT INTO command.

There are two ways to insert values in a table.

In the first method there is no need to specify the column name where the data will be inserted, you need only their values.

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

The second method specifies both the column name and values which you want to insert.

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

Let's take an example of table which has five records within it.

INSERT INTO STUDENTS (ROLL_NO, NAME, AGE, CITY)  
VALUES (1, ABHIRAM, 22, ALLAHABAD);  
INSERT INTO STUDENTS (ROLL_NO, NAME, AGE, CITY)  
VALUES (2, ALKA, 20, GHAZIABAD);  
INSERT INTO STUDENTS (ROLL_NO, NAME, AGE, CITY)  
VALUES (3, DISHA, 21, VARANASI);  
INSERT INTO STUDENTS (ROLL_NO, NAME, AGE, CITY)  
VALUES (4, ESHA, 21, DELHI);  
INSERT INTO STUDENTS (ROLL_NO, NAME, AGE, CITY)  
VALUES (5, MANMEET, 23, JALANDHAR);   

It will show the following table as the final result.

ROLL_NO NAME AGE CITY
1 ABHIRAM 22 ALLAHABAD
2 ALKA 20 GHAZIABAD
3 DISHA 21 VARANASI
4 ESHA 21 DELHI
5 MANMEET 23 JALANDHAR

You can create a record in CUSTOMERS table by using this syntax also.

  1. INSERT INTO CUSTOMERS   
  2. VALUES (6, PRATIK, 24, KANPUR);  

The following table will be as follow:

ROLL_NO NAME AGE CITY
1 ABHIRAM 22 ALLAHABAD
2 ALKA 20 GHAZIABAD
3 DISHA 21 VARANASI
4 ESHA 21 DELHI
5 MANMEET 23 JALANDHAR
6 PRATIK 24 KANPUR

2) Inserting data through SELECT Statement

SQL INSERT INTO SELECT Syntax

INSERT INTO table_name  
[(column1, column2, .... column)]  
SELECT column1, column2, .... Column N  
FROM table_name [WHERE condition]; 

 

Note: when you add a new row, you should make sure that data type of the value and the column should be matched.

If any integrity constraints are defined for the table, you must follow them.

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