Ticker

6/recent/ticker-posts

Header Ads Widget

Responsive Advertisement

SQL INSERT

 


SQL INSERT

The SQL INSERT INTO Statement is used to add new rows of data to a table in the database.

 

 

Syntax:

INSERT INTO TABLE_NAME (column1, column2, column3,...columnN)]

VALUES (value1, value2, value3,...valueN);

Here, column1, column2,...columnN are the names of the columns in the table into which you want to insert data.

You may not need to specify the column(s) name in the SQL query if you are adding values for all the columns of the table. But make sure the order of the values is in the same order as the columns in the table.

 

 

The SQL INSERT INTO syntax would be as follows:

INSERT INTO TABLE_NAME VALUES (value1,value2,value3,...valueN);

 

Example:

INSERT INTO CUSTOMERS (ID,NAME,AGE,ADDRESS,SALARY)

VALUES (1, 'Ramesh', 32, 'Ahmedabad', 2000.00 );

INSERT INTO CUSTOMERS (ID,NAME,AGE,ADDRESS,SALARY)

VALUES (2, 'Khilan', 25, 'Delhi', 1500.00 );

INSERT INTO CUSTOMERS (ID,NAME,AGE,ADDRESS,SALARY)

VALUES (3, 'kaushik', 23, 'Kota', 2000.00 );

INSERT INTO CUSTOMERS (ID,NAME,AGE,ADDRESS,SALARY)

VALUES (4, 'Chaitali', 25, 'Mumbai', 6500.00 );

INSERT INTO CUSTOMERS (ID,NAME,AGE,ADDRESS,SALARY)

VALUES (5, 'Hardik', 27, 'Bhopal', 8500.00 );

INSERT INTO CUSTOMERS (ID,NAME,AGE,ADDRESS,SALARY)

VALUES (6, 'Komal', 22, 'MP', 4500.00 );

 

You can use "INSERT Command" without defining the column label in "INSERT Command".

 

INSERT INTO CUSTOMERS

VALUES (7, 'Muffy', 24, 'Indore', 10000.00 );

All the above statements would produce the following records in CUSTOMERS table:

+----+--------------+---------+----------------+--------------+

| ID  | NAME          | AGE      | ADDRESS     | SALARY     |

+----+--------------+---------+----------------+--------------+

| 1    | Ramesh      | 32         | Ahmedabad | 2000.00     |

| 2    | Khilan         | 25         | Delhi              | 1500.00     |

| 3    | kaushik      | 23         | Kota                | 2000.00     |

| 4    | Chaitali      | 25          | Mumbai        | 6500.00     |

| 5    | Hardik       | 27          | Bhopal           | 8500.00     |

| 6    | Komal        | 22          | MP                  | 4500.00     |

| 7    | Muffy         | 24          | Indore            | 10000.00  |

+----+-------------+----------+----------------+--------------+

 





आशा करते है कि हमारे द्वारा लिखी हुई इस Post को आप Like, Share and Comment करेंगे | और हमें Comment करके बताये की आपको ये Post कैसी लगी | इसी तरह की Post और News पाने के लिए हमारे सभी Social Media Channels को रेगुलर Follow करे| 


Thanks
Amar Digital World
(Always Ready To Digital Serve)

Post a Comment

0 Comments