Скачать или смотреть Resolving 400 Error in Elasticsearch Queries: A Guide to Handling Duplicates

Learn how to fix the `illegal_argument_exception` error in Elasticsearch queries when searching for duplicates. Get insights on mapping changes and the right field types.
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This video is based on the question https://stackoverflow.com/q/71588815/ asked by the user 'Horlando Leão' ( https://stackoverflow.com/u/12413909/ ) and on the answer https://stackoverflow.com/a/71604233/ provided by the user 'Vakhtang' ( https://stackoverflow.com/u/3558218/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Resolving 400 Error in Elasticsearch Queries: A Guide to Handling Duplicates

Elasticsearch is a powerful search engine that provides various functions for retrieving and analyzing your data. One common issue users face when constructing queries is encountering a 400 Error, specifically the illegal_argument_exception. In this post, we will explore how to handle this error while trying to retrieve duplicate documents from Elasticsearch.

The Problem: Encountering 400 Error

When you attempt to perform a query trying to retrieve duplicate records in Elasticsearch using the following query:

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

You may receive an error response like this:

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

This 400 error indicates that there is a problem with the field type you are trying to query. Specifically, it states that the field hash_code_document is defined as a "text" field, which is not optimized for aggregation operations.

Understanding the Solution

To resolve this error and run your aggregation query successfully, you have two main options:

Option 1: Change the Field Type in Mapping

Change the Field Type to keyword:

Elasticsearch allows aggregations only on fields of the keyword type. Therefore, you'll need to modify the mapping of the hash_code_document field in Elasticsearch to be a keyword type.

Here is an example of how to update the mapping:

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

Reindex Your Data:

After modifying the mapping, you must reindex your data to apply changes effectively.

Option 2: Use Existing keyword Fields

If your hash_code_document field is already present as a .keyword type (e.g., hash_code_document.keyword), simply reference this field in your aggregation query:

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

Conclusion

Error handling in Elasticsearch is essential for the smooth operation of your queries. By understanding the root cause of the 400 Error related to field types, you can effectively resolve it either by changing the mapping or by using a suitable field variant for your aggregation queries. Follow these steps to ensure your queries are optimized and error-free!

Feel free to reach out if you have further questions or need assistance with Elasticsearch!