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Скачать или смотреть How to Use GROUP BY in MySQL to Sum Instructors and Students by Date

  • vlogize
  • 2025-10-02
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How to Use GROUP BY in MySQL to Sum Instructors and Students by Date
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Описание к видео How to Use GROUP BY in MySQL to Sum Instructors and Students by Date

This guide provides a clear guide on how to create an SQL query using `GROUP BY` to sum instructors and students based on their registration dates in MySQL.
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This video is based on the question https://stackoverflow.com/q/62760670/ asked by the user 'Tom Lima' ( https://stackoverflow.com/u/11380315/ ) and on the answer https://stackoverflow.com/a/62760731/ provided by the user 'George Joseph' ( https://stackoverflow.com/u/7137090/ ) 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: Query with group by date

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.
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How to Use GROUP BY in MySQL to Sum Instructors and Students by Date

Managing user data is essential for organizations that need to track various roles, such as instructors and students. In this guide, we'll tackle a common problem faced by database managers: how to summarize user registrations by date, specifically for instructors and students using SQL.

The Problem

Imagine you have a user table that records users' names, roles, and the dates they registered:

NameRoleCreation DateTom22020-07-01Diana32020-07-01Rachel32020-07-01Michel32020-08-01In this scenario:

Role 2 signifies an instructor.

Role 3 signifies a student.

You want to create a query that produces a summary of the total number of instructors and students registered on each date. Ideally, you want the output to look like this:

Total InstructorsTotal StudentsCreation Date122020-07-01012020-08-01The goal is to show the counts of instructors and students grouped by their registration dates.

However, you're facing challenges in crafting the SQL query to achieve this. Don’t worry! We’re here to help.

The Solution

To summarize this data correctly, you can utilize the GROUP BY clause along with conditional aggregation. This technique involves using a CASE statement to count the records based on the user's role.

Step-by-Step Query Breakdown

Here’s how you can construct the SQL query:

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

Explanation of the Query:

SELECT Clause:

COUNT(CASE WHEN role = 2 THEN 1 END) AS totalInstructors: This counts how many instructors (role = 2) are there for each date.

COUNT(CASE WHEN role = 3 THEN 1 END) AS totalStudents: This counts how many students (role = 3) are present for each date.

creation_date: This selects the date for which you're aggregating the data.

FROM Clause:

Here, tbl signifies your user table.

GROUP BY Clause:

GROUP BY creation_date ensures that the results are consolidated by each distinct registration date.

What this Query Does

When you execute this query against your user table:

It checks each role on each registration date.

It counts the total number of instructors and students separately.

You will receive a summary output showing how many of each were registered on every date.

Conclusion

By utilizing the GROUP BY clause along with conditional counting, you can efficiently summarize user registrations based on roles and dates. This method not only simplifies your SQL queries but also makes your data management much more effective.

Now that you understand how to implement this query, you can leverage these techniques to analyze user data in various contexts, enhancing your ability to make data-driven decisions!

If you have any further questions about SQL or need more examples, feel free to leave a comment below!

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