Скачать или смотреть Achieve Seamless Data Insertion in MySQL: Combine ID Retrieval and Row Creation in One Query

Discover how to streamline your MySQL database operations by combining ID retrieval from one table with row creation in another table using a single query.
---
This video is based on the question https://stackoverflow.com/q/67807209/ asked by the user 'yudhiesh' ( https://stackoverflow.com/u/13337635/ ) and on the answer https://stackoverflow.com/a/67807323/ provided by the user 'jwood74' ( https://stackoverflow.com/u/4639434/ ) 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: MySQL get ID from a table based on email then create a row in another table using ID and more values

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.
---
Achieve Seamless Data Insertion in MySQL: Combine ID Retrieval and Row Creation in One Query

When working with databases, it's common to face challenges that hinder the efficiency of your queries. One such scenario arises when you need to retrieve an id from one table based on a specified condition (like an email) and then use this id to insert a new row into another table.

In this guide, we'll walk you through a practical example using MySQL, focusing on how to optimize these operations and eliminate unnecessary complexity by using a single query. Let's dive in!

Problem Overview

You have two tables: users and features.

The users table contains user information, including their unique id and email addresses.

The features table records various features assigned to users, tagging each feature with a user_id that links back to the users table.

Here's a quick look at the tables:

Users Table:

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

Features Table:

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

In your use case, you want to fetch the id of a user by their email (test5@ gmail.com) and then insert a new feature record for this user into the features table.

The challenge you face is that you currently have to execute two separate queries:

Retrieve the user ID:

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

Insert a new row in the features table using the retrieved ID:

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

This approach, while functional, is not optimal as it involves multiple database calls.

Solution: Single Query Optimization

Instead of breaking this process into two parts, you can achieve the desired outcome using a single SQL command. Here's how you can do it:

The Query

Use the following SQL statement that combines the INSERT and SELECT commands into one seamless operation:

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

Explanation of the Query Components

INSERT INTO features: This specifies that you want to add a new row to the features table.

(user_id, feature_name, can_access): These are the columns in the features table where the new data will be inserted.

SELECT id, "crypto", 1 FROM users: This SELECT statement retrieves the id of the user whose email matches test5@ gmail.com, along with predefined values for feature_name and can_access.

WHERE email="test5@ gmail.com": This condition ensures that only the ID for the specified email is used for the insertion.

Benefits of This Approach

Efficiency: One query instead of two reduces the load on the database and improves application performance.

Simplicity: The code remains clean and readable, making it easier to maintain and troubleshoot.

Reduced Latency: Fewer queries mean faster response times when working with your database.

Conclusion

By combining the retrieval of an id and the insertion of data into a single MySQL query, you can significantly enhance the efficiency of your database operations. This method not only simplifies your code but also minimizes the number of database calls, leading to improved performance and user experience.

Consider applying this technique in your future database interactions for a more streamlined workflow!