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Скачать или смотреть How to Retrieve Specific Records from MySQL Based on Multiple Conditions

  • vlogize
  • 2025-05-25
  • 0
How to Retrieve Specific Records from MySQL Based on Multiple Conditions
Return records of one value and not in other valuesmysqlsql
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Описание к видео How to Retrieve Specific Records from MySQL Based on Multiple Conditions

Learn how to effectively query your MySQL database to retrieve records that match a specific value while ensuring that other specified values are absent.
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This video is based on the question https://stackoverflow.com/q/68948579/ asked by the user 'Mayur Kandalkar' ( https://stackoverflow.com/u/10971579/ ) and on the answer https://stackoverflow.com/a/68948703/ provided by the user 'Tim Biegeleisen' ( https://stackoverflow.com/u/1863229/ ) 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: Return records of one value and not in other values

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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.

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How to Retrieve Specific Records from MySQL Based on Multiple Conditions

When working with databases, it's common to want to filter records based on certain criteria. A specific scenario arises when you need to fetch records that match one condition while also excluding those that meet another. In this guide, we'll tackle a typical SQL query challenge: how to return records for a particular product_number that only has a specific prod_code while excluding other prod_code values.

The Problem at Hand

Imagine you have a database table filled with product information, and you're particularly interested in retrieving records with a specific product code, but you want to exclude any product numbers that have additional codes. Here’s a quick look at our sample data:

product_numberprod_codeA1NU0001093CIOFB1A1NU0001093CIOFB2A1NU0001093CIOFB3A1NU0001094CIOFB1A1NU0001094CIOFB2A1NU0001094CIOFB3A1NU0001095CIOFB1A1NU0001096CIOFB1A1NU0001096CIOFB2A1NU0001096CIOFB3You want to extract records for product numbers that only contain prod_code = 'CIOFB1' and do not include prod_code = 'CIOFB2' or prod_code = 'CIOFB3'. This means you need to craft a SQL query that satisfies this requirement effectively.

Understanding the SQL Query

Initial Approach

Initially, you may consider a straightforward approach like the following SQL query:

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

However, the outcome may not yield the expected results since the query checks the condition only at the prod_code level and does not consider aggregation by product_number.

A More Effective Solution

Instead, we can use the NOT EXISTS clause within our SQL query. This approach allows you to check for the existence of a specified condition in a correlated subquery. Here's the refined query you need:

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

Breakdown of the Query

Selecting Records: The outer query retrieves all records from yourTable (replace with your actual table name) where the prod_code is 'CIOFB1'.

Not Existing Condition: The NOT EXISTS checks if there are any records in the same table (t2) with the same product_number that also have prod_code values of either 'CIOFB2' or 'CIOFB3'.

Ensuring Exclusivity: By combining these conditions, the query retains only those product_number records where prod_code is CIOFB1, ensuring there are no entries for prod_code values of CIOFB2 or CIOFB3.

Conclusion

Utilizing the NOT EXISTS clause is a powerful way to filter your records based not only on a value but also by ensuring that unwanted values do not appear within the same grouping of data. This solution can be adapted to suit various scenarios depending on the database structure and requirements.

With the right approach, you can effectively tailor your SQL queries to fetch your desired dataset accurately. If you have any further questions or need additional help, feel free to leave a comment!

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