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Скачать или смотреть How to Update Column Values by Shifting Rows Down in PostgreSQL Using LEAD()

  • vlogize
  • 2025-07-23
  • 1
How to Update Column Values by Shifting Rows Down in PostgreSQL Using LEAD()
update Query for “Shifting row value down for one column” ( postgresql)sqlpostgresql
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Описание к видео How to Update Column Values by Shifting Rows Down in PostgreSQL Using LEAD()

Discover how to efficiently shift values down a column in PostgreSQL with a simple update query using the `LEAD()` function.
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This video is based on the question https://stackoverflow.com/q/67795823/ asked by the user 'johacker' ( https://stackoverflow.com/u/9122528/ ) and on the answer https://stackoverflow.com/a/67796105/ provided by the user 'Gordon Linoff' ( https://stackoverflow.com/u/1144035/ ) 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 Query for “Shifting row value down for one column” ( postgresql)

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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 Column Values by Shifting Rows Down in PostgreSQL Using LEAD()

In the world of database management, there are times when you need to manipulate data in more complex ways. One such scenario arises when you want to shift the values in a specific column down by one row. This operation can be particularly useful in various applications, such as adjusting rankings, organizing schedules, or simply re-arranging data for better visualization and analysis.

The Problem

Imagine you have a table that looks like this, with thousands of rows:

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

You might want to update the name column such that each current value shifts down one position. Your desired output would be:

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

In the above example, test0 would no longer appear in the list as it has been shifted out. The last entry, in our case, would show as NULL unless specified otherwise.

The Solution: Using LEAD()

PostgreSQL offers a powerful window function called LEAD() that can accomplish this task effectively. Let's break down the steps needed to perform this update.

Step 1: Understand the LEAD() Function

The LEAD() function allows you to access data in the subsequent rows without the need for a self-join. It provides access to a value from a row that is located a specified number of rows after the current row within the same result set.

Step 2: Construct the Update Query

To shift down the name column, you can write the following SQL query:

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

Here’s what happens in the query:

We create a subquery (tt) that retains all columns from your original table t and adds a new column called next_name, which contains the value of name from the next row.

We order the subquery by id to ensure that each name corresponds correctly to the subsequent row.

Finally, we update the original table we referred to as t, setting the name column to the value found in next_name for each row.

Step 3: Handling the Last Row

By default, the last row’s name will be set to NULL, as there are no subsequent rows from which to pull a value. If you want to provide a default value instead of allowing NULL, you can modify the query like so:

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

In this query, replace <default value> with whatever placeholder or string you want to use for the last value (e.g., 'empty', 'no_data', etc.).

Conclusion

Shifting row values down in a PostgreSQL column can be efficiently achieved using the LEAD() function in combination with an update query. This method not only conserves resources but also simplifies your code, making it more readable and maintainable.

With this guide, you can confidently manipulate your PostgreSQL tables to achieve the desired data structure, no matter the complexity of your task. Happy querying!

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