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The difference between varchar and varchar2 in mysql

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The main difference between VARCHAR and VARCHAR2 in MySQL is compatibility and range restrictions. VARCHAR is a MySQL inherent data type with a length limit of 255 characters and is incompatible with other databases. VARCHAR2 is a data type introduced by Oracle that exists as an alias of VARCHAR with a length limit of 65535 bytes and is used to store large text strings. In other databases they may differ slightly.

The difference between varchar and varchar2 in mysql

The difference between VARCHAR and VARCHAR2 in MySQL

VARCHAR and VARCHAR2 in MySQL are both variable-length data Type used to store string data. The main differences between them are compatibility and scope limitations.

Compatibility

  • VARCHAR is a data type inherent to MySQL and is incompatible with other relational database management systems (such as Oracle and PostgreSQL).
  • VARCHAR2 is a data type introduced in Oracle database and also adopted by other databases. In MySQL, it exists as an alias for VARCHAR so they have the same compatibility and functionality.

Range Limitation

  • VARCHAR has a length limit of 255 characters in MySQL.
  • VARCHAR2 has a length limit of 4000 bytes in Oracle and 65535 bytes in MySQL.

Usage scenarios

Since VARCHAR2 provides a longer length limit, it is often used to store large text strings, such as articles or product descriptions. VARCHAR is typically used for shorter strings, such as names or email addresses.

Example

<code class="sql">-- VARCHAR
CREATE TABLE customer_data (
  name VARCHAR(255)
);

-- VARCHAR2
CREATE TABLE customer_data_alt (
  name VARCHAR2(4000)
);</code>

In the above example, the customer_data table uses VARCHAR to store customer names, up to 255 characters. customer_data_alt The table uses VARCHAR2 to store longer names, up to 4000 characters.

Note: Although VARCHAR and VARCHAR2 are equivalent in MySQL, there may be subtle differences in other databases. It is always recommended to check the documentation for each specific database before using it.

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