Difference Between NOT IN vs NOT EXISTS Operator

The following are some of the differences between NOT IN and NOT EXISTS:

NOT IN

NOT EXISTS

NOT IN cannot compare NULL values

NOT EXISTS can handle NULL values

Queries containing NOT IN perform nested full table scan

NOT EXISTS can use indexes.

NOT IN vs NOT EXISTS in SQLite

When querying a database in SQLite, there are situations where you need to filter out rows based on conditions that involve another set of values or a subquery. This is where the NOT IN and NOT EXISTS operators come into play.

While both operators achieve similar results, they do so in different ways and have different performance characteristics. In this article, we will see the what is NOT IN and NOT EXISTS operator along with their examples and their differences too.

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Setting Up Environment

Let us start by creating a sample table and inserting some values into it. For this article, we are going to create an employee table that contains information on the manager of each employee. We will later use this manager information to understand NOT IN and NOT EXISTS clauses. The following query creates the specified table and inserts some rows into it....

What is NOT IN Condition?

In SQL, the NOT IN condition is used to filter out and exclude records in a particular range. It is commonly used in the WHERE clause of a SELECT, UPDATE, DELETE, or MERGE statement to exclude rows based on a specific list of values....

What is NOT EXISTS Operator?

In SQL, the NOT EXISTS condition is a Boolean condition that tests for the non-existence of rows in a subquery. It returns FALSE if the subquery returns at least one row, otherwise it returns TRUE. It is primarily used in WHERE clauses to exclude records....

Difference Between NOT IN vs NOT EXISTS Operator

The following are some of the differences between NOT IN and NOT EXISTS:...

Conclusion

Overall, After reading whole article both NOT IN and NOT EXISTS are used for solving subquery results in SQLite, they have distinct characteristics. NOT EXISTS is typically more efficient, especially for large datasets, due to its ability to terminate processing once a match is found and NOT IN can lead to unexpected results if the subquery contains NULL values We have seen in the above examples that the in NOT EXISTS we don’t need to specify to contain NOT NULL value but in NOT IN we have to specify that to contain NOT NULL values....

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