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Скачать или смотреть Solving the MySQL Problem: How to Update or Insert Rows Conditionally

  • vlogize
  • 2025-04-16
  • 1
Solving the MySQL Problem: How to Update or Insert Rows Conditionally
Update if the field is null else ignoremysql
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Описание к видео Solving the MySQL Problem: How to Update or Insert Rows Conditionally

Discover how to efficiently update a MySQL table only when certain conditions are met. Learn how to add a composite unique key and use effective queries to minimize unnecessary data entry.
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This video is based on the question https://stackoverflow.com/q/67617769/ asked by the user 'Hello' ( https://stackoverflow.com/u/15783754/ ) and on the answer https://stackoverflow.com/a/67619120/ provided by the user 'Hello' ( https://stackoverflow.com/u/15783754/ ) 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: Update if the field is null else ignore

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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.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Solving the MySQL Problem: How to Update or Insert Rows Conditionally

Updating and inserting rows in a MySQL database can sometimes lead to unexpected behavior, especially when trying to ensure that certain conditions are met before making changes. In this guide, we'll focus on a specific scenario where you want to update a field only if a certain condition is satisfied.

The Challenge

Suppose you're working with a database table named inq_prod_dates that consists of the following fields:

id

batch_id

sr_no

test_cert_date

You need to check whether the test_cert_date field is null before updating it; if it's not null, you'll want to ignore that update. Furthermore, if the combination of batch_id and sr_no does not exist in the table, you'll need to insert a new row.

Example Table Structure

The inq_prod_dates table looks like this:

idbatch_idsr_notest_cert_date12320-05-2021244Sample Input

If you pass batch_id as 2 and sr_no as 3, you'd expect the process to:

Check if test_cert_date has a value. In this case, it does (20-05-2021), so no updates should be made.

If the combination of batch_id and sr_no is not found, then insert the row.

The Solution

To achieve the desired behavior, you'll need to utilize a couple of MySQL features. The fix revolves around ensuring a unique constraint exists for the combination of batch_id and sr_no.

Step 1: Add a Composite Unique Key

To prevent duplicate entries based on the combination of batch_id and sr_no, you'll need to add a composite unique key to your table. Use the following SQL command:

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

Step 2: Write the Conditional Insert/Update Query

Now that we've established a unique key, we can streamline the INSERT statement to manage your conditions effectively. Here's an example of how to approach this:

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

Explanation of the Query

INSERT INTO: This part attempts to insert a new row.

ON DUPLICATE KEY UPDATE: If the combination of batch_id and sr_no already exists (thanks to our unique key), we enter the update phase.

IF(test_cert_date IS NULL OR test_cert_date = '', '20-05-2021', test_cert_date): This checks if test_cert_date is either null or an empty string. Only then will it update test_cert_date with the new value '20-05-2021'; otherwise, it retains the existing value.

Conclusion

By following the outlined steps, you can efficiently manage updates and inserts in your MySQL database based on the specific conditions related to your data. By adding a composite unique key and properly structuring your queries, you can avoid unnecessary data duplication and ensure data integrity.

Feel free to adapt these concepts for your database requirements, and happy coding!

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