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Скачать или смотреть How to Duplicate Rows in PostgreSQL Based on Column Values

  • vlogize
  • 2025-03-28
  • 0
How to Duplicate Rows in PostgreSQL Based on Column Values
Postgres duplicate column based on value in columnsqlpostgresql
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Описание к видео How to Duplicate Rows in PostgreSQL Based on Column Values

Learn how to duplicate rows in a PostgreSQL table based on the value of another column, using SQL commands effectively.
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This video is based on the question https://stackoverflow.com/q/71036065/ asked by the user 'toni' ( https://stackoverflow.com/u/1305062/ ) and on the answer https://stackoverflow.com/a/71036332/ provided by the user 'FlexYourData' ( https://stackoverflow.com/u/1571950/ ) 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: Postgres duplicate column based on value in column

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.
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How to Duplicate Rows in PostgreSQL Based on Column Values

Managing databases often requires complex operations, and one such task that frequently arises is the need to duplicate rows in a table based on specific conditions. In this guide, we will explore how to effectively duplicate rows in a PostgreSQL table when certain conditions are met—specifically, when the amount of a product is greater than one.

The Problem

Imagine you have a product order table in PostgreSQL, which contains details such as id, product, customer, price, and amount. Below is a sample of how the data might appear:

idproductcustomerpriceamount1TelevisionAlfred12.0012RadioRichard20.0033MobileRichard40.005The requirement is to duplicate rows for products that have an amount greater than one. For instance, in the sample data, the entry for the Radio should be duplicated 3 times because its amount is 3. The same goes for the Mobile entry, which should be duplicated 5 times. After performing this operation, the table should look like this:

idproductcustomerpriceamount1TelevisionAlfred12.0012RadioRichard20.0033MobileRichard40.0054RadioRichard20.0035RadioRichard20.0036MobileRichard40.0057MobileRichard40.0058MobileRichard40.0059MobileRichard40.005The Solution

To achieve this, we can utilize PostgreSQL’s powerful generate_series function. This function allows us to create a series of numbers, which can be used to generate additional rows based on the specified conditions. Below, we will walk through the steps to implement this solution.

Step 1: Setup Your Temporary Table

First, we create a temporary table and insert our sample data:

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

Step 2: Query to Duplicate Rows

Now, we can write a query that uses generate_series to duplicate rows based on the amount value:

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

Explanation of the Query

SELECT Clause: We select the columns we want to display from the _dat table, which consists of product details.

GROUP BY Clause: Here, we group by the relevant columns and the series generated by generate_series(1, amount). This will generate as many records as specified in the 'amount' column, effectively duplicating rows as needed.

Conclusion

Using the generate_series function in PostgreSQL provides a powerful and flexible way to manipulate data within your tables. By employing this technique, you can easily duplicate rows based on the values of another column, streamlining your data management processes.

In this guide, we covered how to duplicate rows in PostgreSQL, particularly in cases where you may have multiple quantities of the same product. This approach can save you time and effort in managing Products or Order tables in your databases.

Final Thoughts

Feel free to explore this functionality in your own PostgreSQL databases, and see how it can help you manage your data more effectively!

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