Скачать или смотреть How Smart is the SQL Optimizer? Understanding IN and Replacing It with EXISTS

Discover the efficiency of SQL's optimizer and learn how to improve your queries by replacing `IN` with `EXISTS`.
---
This video is based on the question https://stackoverflow.com/q/64768673/ asked by the user 'David H' ( https://stackoverflow.com/u/2536751/ ) and on the answer https://stackoverflow.com/a/64768694/ provided by the user 'Gordon Linoff' ( https://stackoverflow.com/u/1144035/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: SQL IN in WHERE. How smart is the optimizer?

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
How Smart is the SQL Optimizer? Understanding IN and Replacing It with EXISTS

When working with SQL, performance can often be a make-or-break factor in whether your application runs smoothly. A common question that arises during query optimization is: How does the SQL optimizer handle the IN clause, especially in the WHERE condition? This guide aims to explore this question in depth, providing clarity on the optimizer's behavior and offering efficient solutions to improve your SQL queries.

The Problem: Inefficiency of IN in Updates

Consider the following SQL query that updates a scenario group based on its ID and a project ID that is part of a project table:

[[See Video to Reveal this Text or Code Snippet]]

At first glance, the IN clause might seem straightforward; however, it brings certain challenges in execution. The main concern is that the optimizer might evaluate the IN condition for each matching row, leading to significant performance degradation. If the project table is large or if there are many matching rows in the scenario_group, this can result in multiple evaluations of the same subquery.

Exploring the SQL EXPLAIN Output

When you run the EXPLAIN command on the above query, the output might be similar to this:

[[See Video to Reveal this Text or Code Snippet]]

The EXPLAIN output indicates the optimizer is likely doing the IN check repeatedly across matching rows. While an optimizer is intelligent, it may not always optimize IN conditions as efficiently as desired.

The Solution: Using EXISTS Instead of IN

To enhance the performance of your update operation, consider replacing the IN clause with the EXISTS clause. The EXISTS clause short-circuits, meaning that it stops checking as soon as a match is found. Here's how you can rewrite the original query:

[[See Video to Reveal this Text or Code Snippet]]

Why Use EXISTS?

Efficiency: EXISTS is often more efficient than IN because it doesn’t go through all the values in the subquery. It only checks for existence and can terminate early when it finds the first valid record.

Index Usage: The EXISTS clause can leverage indexes on the project_id, which should be defined as a primary key. This ensures that the query remains optimized by utilizing existing indexes in the database.

Clear Logic: The use of EXISTS can provide clearer logic in your queries, as it explicitly checks whether the condition is met before performing the update.

Conclusion

In conclusion, while SQL's optimizer is quite smart, understanding its behavior with various clauses can significantly enhance your query performance. By opting for EXISTS over IN, you’re not only making your queries more efficient but also cleaner. Always remember to run an EXPLAIN on complex queries to understand how they behave and make necessary adjustments for optimal performance.

Now that you know the benefits of using EXISTS, try applying it in your SQL updates and see the difference it makes!