NULL in SQL represents a missing or unknown value, which is different from 0 or an empty string. It is usually represented by the keyword NULL, and the comparison result is always unknown or NULL. Uses of NULL include representing missing values, distinguishing missing values from zero values, enforcing data integrity, and using NULL comparisons. When working with NULL values, you can use functions or methods such as COALESCE, IFNULL, or CASE statements.
The meaning of NULL in SQL
NULL represents a missing or unknown value in SQL, which indicates to the database No value is stored in a specific column or field. NULL differs from 0, the empty string, or a space in that it indicates that the value does not actually exist or has not yet been determined.
How to identify NULL values
In SQL, NULL values are usually represented by the keyword NULL. It can appear in any data type column, and comparisons with other values always result in unknown or NULL. For example:
<code>SELECT * FROM table_name WHERE column_name IS NULL;</code>
Uses of NULL
The NULL value has several uses in SQL:
Handling NULL Values
It is important to be careful when handling NULL values, as they can lead to unexpected results. Some common ways to handle NULL values include:
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