![]() ![]() However, because when comparing an unknown value to any other value, the result is always unknown and not included in the results. ![]() The NULL value can cause problems when selecting data. There are two columns where we did not use NOT NULL, which means these columns could be NULL.Ī field with a NULL value is the one that has been left blank during the record creation. Here, NOT NULL signifies that column should always accept an explicit value of the given data type. The basic syntax of NULL while creating a table. It is very important to understand that a NULL value is different than a zero value or a field that contains spaces. A NULL value in a table is a value in a field that appears to be blank.Ī field with a NULL value is a field with no value. The SQL NULL is the term used to represent a missing value. ![]()
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