SQL INSERT INTO

The INSERT INTO statement is used to add new records into a database table.

In SQL, there are basically two ways to INSERT data into a table: One is to insert it one row at a time, the other is to insert multiple rows at a time. In this section, we'll take a look at the first case.

Syntax

The syntax for inserting data into a table one row at a time is as follows:

Examples

The examples refer to a table that has the following structure,

Table Store_Information

Column Name	Data Type
Store_Name	char(50)
Manager_ID	integer
Sales	float
Txn_Date	datetime

Example 1: All column names are specified

We want to insert one additional row into the table representing the sales data for Los Angeles on January 10, 1999. On that day, this store had $900 in sales, and the Manager_ID for this store is 10. We will use the following SQL script:

Now the table will hold the following data:

Table Store_Information

Store_Name	Manager_ID	Sales	Txn_Date
Los Angeles	10	900	Jan-10-1999

Please note that we can specify the column names in any order -- the order does not have to be the same as that of the table. For example, the following SQL statement is equivalent to the SQL statement above:

Example 2: None of the column names are specified

If we leave off the column names in the INSERT INTO statement, we will need to make sure that data is inserted in the same column order as that in the table. For example,

will give us the desired result, while

will result in Store_Name being set to 900, Manager_ID being set to 'Los Angeles', and Sales being set to 10. Clearly this is not what we intend to accomplish.

Example 3: Some of the column names are specified

In the first two examples, we insert a value for every column in the table. Sometimes, we may decide to insert value into some of the columns and leave the rest of the columns blank. For those cases, we simply specify the column names that we want to insert values into in our SQL statement. Below is an example:

Now the table becomes:

Table Store_Information

Store_Name	Manager_ID	Sales	Txn_Date
Los Angeles	10	900	Jan-10-1999
New York		500	Jan-10-1999

In this case, the value for the Manager_ID column in the second row is NULL. NULL means that data does not exist, and we discuss the concept of NULL later in this tutorial.

Exercises

1. Let's assume we start with the Store_Information table shown above. What does the table look like after the following SQL statement is executed?
INSERT INTO Store_Information VALUES ('San Jose',25,700,'Jan-10-1999');

2. Continuing with Question 1. What does the table look like after the following SQL statement is executed?
INSERT INTO Store_Information (Manager_ID,Txn_Date,Sales) VALUES (10,600,'Jan-11-1999');

3. Using the same table as above. What does the table look like after the following SQL statement is executed?
INSERT INTO Store_Information ('Portland',30,650,'Jan-11-1999');