Dive into the nuances of NOT EXISTS, NOT IN and LEFT JOIN WHERE IS NULL
In SQL queries, selecting data based on the absence of records in related tables can be achieved through a variety of techniques. NOT EXISTS, NOT IN, and LEFT JOIN WHERE IS NULL are three commonly used methods that appear to be interchangeable. However, subtle differences remain, which begs the question: which approach should be chosen in different scenarios?
NOT IN
The NOT IN operator explicitly excludes records from a collection that match a numeric value present in another collection. Unlike the other two methods, the behavior of NOT IN is affected by NULL values. If any NULL values are found in the comparison subset, no match results.
NOT EXISTS
NOT EXISTS Checks the existence of records in a correlated subquery. If no matching record is found for a given row in the external table, the subquery evaluates to false, indicating that no relationship exists.
LEFT JOIN WHERE IS NULL
This technique involves performing a left outer join between two tables and then filtering the results to include only those rows in the right table where the join column is NULL. This indicates that no matching record was found in the right table, effectively replicating the behavior of NOT EXISTS.
Performance Considerations
The performance of these methods will vary depending on the database implementation. Here’s the breakdown:
Choose the best method
Choosing the best method depends on the specific database environment and query characteristics:
Ultimately, the best approach is to test and evaluate the performance of different methods in the context of your specific database environment and query needs.
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