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Скачать или смотреть Extracting Rows with Max Value within a Group in MySQL

  • vlogize
  • 2025-04-14
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Extracting Rows with Max Value within a Group in MySQL
mysql how to extract row with max value within a groupmysqlsql
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Описание к видео Extracting Rows with Max Value within a Group in MySQL

Learn how to efficiently extract the rows with maximum values from groups in MySQL using JOIN and RANK functions.
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This video is based on the question https://stackoverflow.com/q/71964617/ asked by the user 'Justin Z' ( https://stackoverflow.com/u/15950446/ ) and on the answer https://stackoverflow.com/a/71964680/ provided by the user 'DhruvJoshi' ( https://stackoverflow.com/u/1123226/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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How to Extract Rows with Max Value within a Group in MySQL

If you're working with a database and trying to analyze data based on specific groups, you might find yourself in a situation where you need to extract rows that contain the maximum values from those groups. A common example could be retrieving the oldest person from each age group in a list of users. In this post, we'll explore how to achieve this in MySQL using two different methods: using JOIN and the RANK() function.

The Problem: Extracting Maximum Values

Let’s consider a situation where you have a database table with three fields: name, group, and age. Here's a sample dataset:

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

From this dataset, we want to extract the rows where each group has the person with the greatest age. The desired output would look like this:

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

Solution 1: Using JOIN

One effective way to get the desired output is through a JOIN operation. This method will allow you to combine records based on the maximum age within each group. Here’s how you can do it:

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

How Does This Work?

Inner Query: The subquery (B) groups the original table by group and finds the maximum age for each group.

JOIN Clause: This result is then joined back to the original table (yourtable, aliased as A) on both the age and group fields.

Result: This will bring back entries from the original table that correspond to the maximum age per group.

Note: If there are ties (e.g., two people in the same group with the same maximum age), both will be included in the result set.

Solution 2: Using RANK() Function

An alternative and potentially more elegant way of extracting these rows is by using the RANK() function. This approach assigns a rank to each record within its group based on its age, allowing you to easily filter the highest-ranked records. Here's how to implement it:

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

Explanation of the RANK Method

Subquery: The inner query calculates the rank for each person in their respective group based on age.

RANK() Function: The RANK() function assigns ranks starting from 1 to the oldest person(s) in the group.

Filtering: The outer query only selects those with a rank of 1, effectively giving you the oldest user(s) per group.

Summary of Key Differences

The JOIN method can return multiple rows in case of ties, while the RANK() method keeps the output concise by using filtering.

Both methods are effective; the choice largely depends on your specific requirements and whether you need to handle ties explicitly or not.

Conclusion

Retrieving rows with the maximum values within a group in MySQL is a common data analysis task. Whether you choose to use the JOIN method or the RANK() function, each approach has its merits. Depending on your situation, you can select the method that suits your needs. With these techniques at your disposal, you'll be well-equipped to handle similar queries in your database work.

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