Inserting Data
Once you have created a table, you can start inserting data into it. The process of inserting data involves specifying the table name, the columns to insert data into, and the values to be inserted.
Overview of Different Insert Commands and Syntax
There are a few different ways to insert data into a table in SQL, depending on how much information you have about the data you are inserting. Here are some common insert commands and their syntax:
Inserting Values into Specific Columns
You can use the INSERT INTO
command to insert values into specific columns in a table. Here is the syntax for inserting a single row of data into a table:
For example, to insert a new row into a users
table with the values "John Doe" for the name
column, "johndoe@example.com" for the email
column, and 25 for the age
column, you would use the following command:
Inserting Values into All Columns
If you have data to insert for every column in a table, you can omit the column names from the INSERT INTO command. Here is the syntax for inserting a single row of data into a table without specifying column names:
For example, to insert a new row into the users
table with the values "Jane Smith" for the name
column, "janesmith@example.com" for the email
column, 30 for the age
column, and "female" for the gender
column, you would use the following command:
Inserting Multiple Rows at Once
You can also use the INSERT INTO
command to insert multiple rows of data at once. Here is the syntax for inserting multiple rows of data into a table:
INSERT INTO table_name (column1, column2, column3, ...)
VALUES
(value1, value2, value3, ...),
(value1, value2, value3, ...),
(value1, value2, value3, ...),
...;
For example, to insert three new rows into the users
table, you would use the following command:
INSERT INTO users (name, email, age)
VALUES
('Alice Johnson', 'alicejohnson@example.com', 35),
('Bob Williams', 'bobwilliams@example.com', 40),
('Charlie Brown', 'charliebrown@example.com', 45);
By using these different insert commands and syntax, you can efficiently add data to your SQL database tables.