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Efficiently Retrieve Inherited Customer Settings in PostgreSQL 10 Using Recursive Queries

Recursively look up PostgreSQL 10 hierarchy

sql

postgresql

inheritance

recursive query

Автор: vlogize

Загружено: 2025-05-27

Просмотров: 0

Описание: Learn how to efficiently perform a reverse lookup for inherited settings in PostgreSQL 10 using recursive queries to improve your database handling skills.
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This video is based on the question https://stackoverflow.com/q/66858340/ asked by the user 'SiLeNCeD' ( https://stackoverflow.com/u/1419498/ ) and on the answer https://stackoverflow.com/a/66859401/ provided by the user 'Ajax1234' ( https://stackoverflow.com/u/7326738/ ) 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: Recursively look up PostgreSQL 10 hierarchy

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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Efficiently Retrieve Inherited Customer Settings in PostgreSQL 10 Using Recursive Queries

In the realm of database management, Good hierarchical data management is crucial, especially when it comes to relationships that span multiple levels, such as a parent-child scenario in a customer settings schema. If you're working with PostgreSQL 10 and need to look up inherited customer settings, this post is here to guide you through the process step-by-step using recursive queries.

Understanding the Problem

Imagine you have a table that lists customers, their relationships (who is the parent or child), and various settings. However, the catch is that some child records inherit a setting from their parent when their own setting is NULL. This situation can lead to complexity when trying to retrieve the first non-null setting up the hierarchy from the child level to the top parent.

To illustrate, let’s consider the following example from our customer table:

idnameparent_idcustomer_settingsinheritance2parent customer A11234501not inherited3child of A sub 12NULLinherited4child of A sub 221234502not inherited...............10child of BS1S2 sub 19NULLinheritedIn this structure, the challenge is to retrieve the inherited customer_settings for each child that has a NULL setting.

Crafting the Solution

Using a Recursive Common Table Expression (CTE)

To solve this problem, we’ll employ a recursive Common Table Expression (CTE) that will traverse the hierarchy from the child to the parent. Here’s how you can set it up:

Define the CTE: This will select the records where customer_settings is NULL and recursively join to find the corresponding parent settings.

Final Query: This combines the results from the CTE with the original table to fill in the inherited settings for child records.

The SQL Query

Here’s the complete recursive CTE query that can achieve this:

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

Breakdown of the Query

Step 1: Initial Selection: The first part of the CTE selects the rows where customer_settings is NULL.

Step 2: Recursive Joining: The recursive part of the CTE searches for parent records whose settings may provide a value.

Step 3: Final Output: The final SELECT statement combines the customer table with the CTE to display the relevant customer_settings, whether inherited or not.

Conclusion

By effectively using a recursive CTE in PostgreSQL 10, you can build queries that traverse parent-child relationships and retrieve inherited settings without cumbersome subqueries. This technique is not only efficient but also enhances the clarity and performance of your SQL queries.

Feel free to implement this solution into your database management practices and watch the ease of handling hierarchical data evolve. If you have any questions or want to share your findings, please leave a comment below!

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