Home Database SQL How to specify the data type for a new SQL column

How to specify the data type for a new SQL column

Apr 09, 2025 pm 02:48 PM

When creating a new column, use the data type keyword in the CREATE TABLE statement to specify the data type of the new column, such as: INT, VARCHAR, DECIMAL. SQL provides a variety of data type options, including integer, floating point, string, boolean, date and time types, and more. When selecting a data type, consider data scope, format, storage space, and performance factors to optimize table performance and data integrity.

How to specify the data type for a new SQL column

How to specify the data type for a new SQL column

When creating a new SQL table, it is critical to specify the appropriate data type for the new column. The data type defines the format and scope of data stored in a column. Selecting the correct data type can optimize table performance and data integrity.

How to specify a data type

In the CREATE TABLE statement, specify the data type of the new column by using the数据类型keyword. For example:

 <code class="sql">CREATE TABLE employees ( id INT NOT NULL, name VARCHAR(255) NOT NULL, salary DECIMAL(10, 2) NOT NULL );</code>
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In the example above, id column is defined as the INT data type, representing an integer value. name column is defined as VARCHAR(255) data type, representing a string with a maximum length of 255 characters. The salary column is defined as the DECIMAL(10, 2) data type, indicating a decimal value with 2 digits after the decimal point.

Data Type Options

SQL provides a variety of data type options, including:

  • Integer types: INT, SMALLINT, BIGINT
  • Float , DOUBLE, DECIMAL
  • String type: VARCHAR, CHAR, TEXT
  • Boolean type: BOOLEAN
  • Date and time types: DATE, TIME, TIMESTAMP
  • Other types: BLOB (binary large object), UUID (general unique identifier)

Select the right data type

When selecting a data type, consider the following factors:

  • Data range: The data type must be able to accommodate the maximum and minimum values ​​stored in the column.
  • Data Format: The data type must match the format of the data to be stored.
  • Storage space: Different data types occupy different storage space.
  • Performance: Some data types have better performance than others.

By carefully considering these factors, you can select the appropriate data type for the new column, optimizing table performance and data integrity.

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