difference between null and not null in sql

1 Introduction to null valuesNULL is a unique data type in the database. If a column in a record is NULL, the value of this column is unknown and uncertain. Since it is unknown, there are several possibilities. Therefore, NULL is not a definite

These two types of writing are often encountered: are not NULL and!=null. It is also often encountered that the database has!=null data, but returns to an empty collection. In fact, it is because the difference between the two uses is not understood.

In the database, a null value is used to indicate that the actual value is unknown or meaningless. In a table, if a column in a row has no value, it is called NULL ). A null value can be returned for any data type column as long as the non-NULL or

1.NULL meaning is the missing value (missing value).2. Three value logic (Three-valued-logic:true,false,unknown). There are three logical predicates in SQL: Ture,false,unknown. In most programming language only True and false in SQL , and all of the

The difference between Null and NULL String ''in Oracle: Q: What is Null? A: When we do not know the specific data, it is also unknown. We can use NULL. We call it NULL. in ORACLE, the column length containing NULL values is zero. ORACLE allows

Oracle in the database, null values are used to indicate a situation where the actual value is unknown or meaningless. In a table, if a column in a row has no value, it is called a null value (NULL). Columns of any data type can have null values if

The introduction of 1null value NULL is a unique data type in the database. When a column in a record is NULL, the value of this column is unknown and uncertain. Since it is unknown, there are several possibilities. Therefore, NULL is not a definite

Null in the database means "no input data to (column) variables", that is, NULL in the database can distinguish between "no input data to (column) variables" and "Input data to (column) variables". And the input of the empty string, is here the

Method of NULL value processing for ORDER by orderingwhen the business data is sorted, it is found that some fields have a null value, then the order of the data is inconsistent with our usage. In Oracle, it is assumed that NULL is the maximum value

In MySQL, when filtering is non-empty, it is often used to be not null and!=null, both of which are literally the same way of feeling, as in factIt will be a big difference if you try to run it!Why does this happen?Null means nothing, cannot =, >,