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Mastering Recursive Queries in PostgreSQL: Fetching Root Parent Data Made Easy

recursive query in postgresql

sql

postgresql

Автор: vlogize

Загружено: 2025-04-14

Просмотров: 5

Описание: Discover how to effectively use `recursive` queries in PostgreSQL to retrieve hierarchical data, ensuring you get the correct values for properties like geolocation from root parents.
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This video is based on the question https://stackoverflow.com/q/68572647/ asked by the user 'Armand Violle' ( https://stackoverflow.com/u/16391659/ ) and on the answer https://stackoverflow.com/a/68575439/ provided by the user 'wildplasser' ( https://stackoverflow.com/u/905902/ ) 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: "recursive" query in postgresql

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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Understanding Recursive Queries in PostgreSQL

When working with hierarchical data in a database, it's common to encounter challenges, particularly when you need to obtain data from parent records. In PostgreSQL, using a recursive query is the perfect method for tackling these problems. In this guide, we’ll dissect a practical scenario involving location data and how to achieve the desired results using a recursive approach.

The Problem: Retrieving Root Parent Data

Imagine you have a table of locations with specific properties, including geolocation and parent_id, which indicates the relationship between locations. When querying the data, your goal is to ensure that any location lacking a geolocation properly inherits the geolocation from its root parent, if one exists.

Current Scenario

You might start with a query looking something like this:

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

This approach may provide partial results, but it fails to recursively fetch the geolocation from the ultimate root parent if multiple levels exist.

Example Data

Consider the following table structure:

idnamegeolocationparent_id1aaaa0.0,0.02bbbb1.1,1.113cccc14dddd2.2,2.25eeee6ffff3The expectation is that locations with no specified geolocation should acquire it from their root parent, ultimately leading to the desired results:

idnamegeolocation1aaaa0.0,0.02bbbb1.1,1.13cccc0.0,0.04dddd2.2,2.25eeee6ffff0.0,0.0The Solution: Implementing Recursive Queries

To solve this issue, we can utilize PostgreSQL’s WITH RECURSIVE clause, which allows us to retrieve all relevant parent information dynamically.

Step 1: Create a Temporary Table

To illustrate the full process, let’s first create a sample table:

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

Step 2: Construct the Recursive Query

Now, we will create the recursive query to obtain the required values:

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

Step 3: Analyzing the Results

Executing the above query will yield results, giving us the desired output, where locations recursively inherit their geolocation from their root parent:

idnamegeolocationparent_idopa_nameopa_geolocation1aaaa0.0,0.0aaaa0.0,0.04dddd2.2,2.2dddd2.2,2.25eeeeeeee2bbbb1.1,1.11aaaa0.0,0.03cccc1aaaa0.0,0.06ffff3aaaa0.0,0.0Conclusion

Utilizing recursive queries in PostgreSQL can significantly enhance your ability to work with hierarchical data while maintaining clarity and completeness in your records. The method we discussed not only solves the specific issue of retrieving geolocation from root parents but also showcases the power and flexibility of SQL in managing complex data relationships.

By diving into such queries, you're equipped to handle various database challenges efficiently!



Feel free to experiment with this approach in your own PostgreSQL environment, and share your experience or insights!

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