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Скачать или смотреть How to UPDATE a Database Column with Previous Values in PostgreSQL

  • vlogize
  • 2025-05-26
  • 0
How to UPDATE a Database Column with Previous Values in PostgreSQL
UPDATE column with previous valuesqlpostgresqlpostgresql 13
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Описание к видео How to UPDATE a Database Column with Previous Values in PostgreSQL

Learn how to effectively update a column in PostgreSQL by replacing values of zero with the previous non-zero values using SQL queries.
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This video is based on the question https://stackoverflow.com/q/69822364/ asked by the user 'Héctor' ( https://stackoverflow.com/u/10551132/ ) and on the answer https://stackoverflow.com/a/69824724/ provided by the user 'arutar' ( https://stackoverflow.com/u/17128350/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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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 Update a Database Column with Previous Values in PostgreSQL

When working with databases, it's common to encounter situations where you need to update certain values based on previous entries. A frequently asked question among SQL users, especially those using PostgreSQL, is how to update a column with the previous non-zero value when the current value is zero. This issue can be particularly tricky due to the restrictions on SQL operations, such as the inability to directly use window functions in a UPDATE statement. In this guide, we’ll break down the solution step-by-step, ensuring you leave with a clear understanding of how to tackle this problem effectively.

The Problem

Consider a sample table called mytable, structured as follows:

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

Imagine that you have data in mytable where some myval entries are zero. Your goal is to replace these zeros with the last non-zero value from the previous rows, ordered by myid. Here's a sample of what the table might look like:

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

From this table, you want to run an update so that the resulting values after the operation will be:

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

The Challenge Explained

The challenge arises due to the restriction on using window functions such as LAG() in an UPDATE statement. You might have tried queries, only to find that they either resulted in syntax errors or incorrect outputs. The key to solving this is using a subquery that retrieves the latest non-zero value for each row needing an update.

The Solution Explained

To achieve the required updates, you can use the following SQL command:

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

Breakdown of the Query

UPDATE Statement: The outer query begins with UPDATE mytable t, where t is an alias for mytable.

Subquery for Non-Zero Value Retrieval:

The subquery retrieves the last non-zero value from the rows in mytable where myid is less than the current row’s myid.

It sorts these values in descending order (ORDER BY s.myid DESC) and retrieves just the top result (LIMIT 1).

WHERE Clause:

The WHERE clause identifies which rows need updating by selecting only those rows with myval equal to zero.

FOR UPDATE Clause:

This clause locks the selected rows, ensuring that no other transactions modify them while you perform the update.

Executing the Query

After running the update query, you can verify that the myval column has been correctly updated by executing:

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

This select query should yield the desired results, reflecting the latest non-zero values in the myval column.

Conclusion

Updating values from previous rows based on specific conditions can seem daunting, but with the right approach, it can be accomplished efficiently in PostgreSQL. By understanding how to utilize subqueries effectively and the importance of order in your updates, you can ensure your database maintains accurate and meaningful data. Whether you're a beginner or a seasoned SQL user, mastering this technique will enhance your database manipulation skills significantly.

If you found this guide helpful or have any further questions, feel free to leave a comment below! Happy querying!

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