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Скачать или смотреть How to Get All Grandchildren in Elasticsearch 7.10 from the Grandparent

  • vlogize
  • 2025-05-27
  • 2
How to Get All Grandchildren in Elasticsearch 7.10 from the Grandparent
How to get all grandchild in elasticsearch 7.10 from the grandparentelasticsearchelasticsearch 7
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Описание к видео How to Get All Grandchildren in Elasticsearch 7.10 from the Grandparent

Learn how to effectively retrieve all grandchildren documents in Elasticsearch 7.10 using a specific query structure. This guide breaks down the solution to common parent-child relationships in Elasticsearch.
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This video is based on the question https://stackoverflow.com/q/66335339/ asked by the user 'Root' ( https://stackoverflow.com/u/3623456/ ) and on the answer https://stackoverflow.com/a/66335572/ provided by the user 'Root' ( https://stackoverflow.com/u/3623456/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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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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Understanding Parent-Child Relationships in Elasticsearch

In the world of Elasticsearch, a powerful search and analytics engine, managing relationships between different data types can sometimes be challenging. A common scenario involves having a hierarchy of documents where one document is a parent and others are its children.

For example, consider the following structure:

A (Grandparent)

B (Parent)

C (Child)

In this context, the relationship is defined as A is the parent of B, and B is the parent of C. But what if you want to retrieve all grandchildren (C) when you only have access to the grandparent (A)?

This is a problem that many Elasticsearch users encounter, particularly in version 7.10, as they try to navigate the nuances of querying hierarchical data.

The Problem

You might find yourself writing a query that looks something like this:

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

However, if this query is returning no results, you may be scratching your head, wondering what’s gone wrong. This query structure is not correctly set up to fetch the desired grandchildren from the grandparent.

The Solution

The solution lies in recognizing the hierarchy of relationships in your query. Instead of querying for the grandchildren with each parent relationship nested under the grandparent, the structure must focus on the direct relationship between the parent and child.

Here’s the corrected query:

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

Key Changes Made

Understand the Parent-Child Relationships:

Initially, the grandparent (A) was being queried as the primary point of focus.

The correct approach is to start with B as the parent instead. Since C is a child of B and B has a relationship with A, this hierarchy needs to be accurately represented in your query.

Nesting the Queries:

The original query had the nesting incorrect. The grandparent query should be configured such that we start with the direct parent (B) and then look for its grandparent (A).

Utilize match_all:

This is the search’s way of saying "return all documents that meet the other query's criteria," and it's used correctly here to ensure we get all relevant documents without additional filters.

Conclusion

Getting the grandchildren from a grandparent document in Elasticsearch requires careful structuring of your queries to reflect the relationships accurately. By understanding how to manipulate parent-child relationships correctly, you can effectively retrieve the data you need.

If you’ve struggled with related queries before, this approach should clarify how to navigate hierarchical data in Elasticsearch 7.10. With the proper query structure, you can unlock the full potential of your Elasticsearch queries and enhance your data retrieval capabilities.

Feel free to share your experiences or any other issues you might have faced while working with Elasticsearch in the comments below!

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