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Скачать или смотреть How to Check if a Node is Repeated in a ltree in PostgreSQL

  • vlogize
  • 2025-10-23
  • 3
How to Check if a Node is Repeated in a ltree in PostgreSQL
How to check if a node is repeated in a ltree - PostgreSQLsqlpostgresqlltree
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Описание к видео How to Check if a Node is Repeated in a ltree in PostgreSQL

Discover how to easily check for duplicate nodes in an ltree in PostgreSQL with practical SQL examples!
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This video is based on the question https://stackoverflow.com/q/67899042/ asked by the user 'Milad' ( https://stackoverflow.com/u/3002233/ ) and on the answer https://stackoverflow.com/a/67899322/ provided by the user 'Laurenz Albe' ( https://stackoverflow.com/u/6464308/ ) 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: How to check if a node is repeated in a ltree - 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.

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How to Check if a Node is Repeated in a ltree in PostgreSQL

In PostgreSQL, ltree is a specialized data type that allows users to work with labels stored in a tree-like structure. However, there are instances where you might need to check if a specific node occurs more than once within an ltree. Whether you're debugging data or ensuring data integrity, understanding how to identify these duplicates is essential.

The Problem

Imagine you have two different ltree values:

'0.1.2.3.4.3.9' which contains a repeated node 3

'0.1.2.3.4.5.9' which does not have any repeated nodes.

You want to determine if any node in these ltree representations is repeated. How can you efficiently perform this check using SQL? The answer lies in some clever SQL queries that utilize built-in PostgreSQL functions.

The Solution

Method 1: Using regexp_split_to_table

One straightforward approach to check for duplicates in an ltree is by converting the ltree to a string, splitting that string into individual nodes, and then counting occurrences of each node. Here's how you can do it:

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

Explanation

ltree2text('0.1.2.3.4.3.9'): This function converts the ltree into a text string, making it easier to work with.

regexp_split_to_table(..., '.'): This function will split the string at each period, creating a table of labels (nodes).

GROUP BY label: We group the results by each label to count occurrences.

HAVING count(*) > 1: This condition filters the groups to return only those labels with more than one occurrence.

EXISTS: This wrapper checks whether any duplicates exist.

If this query returns True, then the node repeats. If it returns False, the node does not repeat.

Method 2: Using Regular Expressions

For users looking for a more concise and elegant solution, you can utilize a regular expression to check for repeated nodes. Here’s a SQL query that accomplishes this:

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

Explanation

ltree2text('0.1.2.3.4.5.9'): Again, converts the ltree to text.

**~ '(\m\d*\M).*\1'**: This regular expression looks for any digit (\d*) that appears more than once in the string. It matches the first occurrence and checks if it appears again later (.*\1).

This method offers a compact way to quickly verify if any nodes repeat, and it is often favored for its simplicity.

Conclusion

Identifying repeated nodes in an ltree within PostgreSQL can be achieved by either splitting the ltree into its components and counting occurrences or by using a smart regular expression. Both methods are efficient and leverage PostgreSQL's powerful text processing capabilities.

With these queries at your disposal, you can maintain the integrity of your data and enhance your understanding of tree structures in PostgreSQL. Choose the method that best suits your needs and keep your trees organized and accurate!

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