Скачать или смотреть How to Achieve Exact Match on Keyword Datatype Field with an Array of Values in ElasticSearch

Learn how to properly query the `keyword` datatype in ElasticSearch when working with arrays, ensuring you get the exact matches needed for your search criteria.
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How to Achieve Exact Match on Keyword Datatype Field with an Array of Values in ElasticSearch

ElasticSearch is a powerful search engine that's commonly used for full-text search. However, when it comes to querying data, especially with keyword datatype fields, things can get a bit tricky. If you've been facing challenges with getting exact matches on keyword fields that store values as arrays, you are not alone. In this post, we’ll explore a common issue related to ElasticSearch and provide you with a comprehensive solution that you can apply immediately.

The Problem: Querying Keyword Fields with Arrays

In your ElasticSearch mapping, you may have fields that are defined as arrays of keywords, such as emails and titles. An example of your mapping may look like this:

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

From this mapping, each person can have multiple email addresses and titles stored in arrays. While querying with the query_string function works for the text type field (like title), it may not return results for keyword fields when the values are stored as arrays.

Example Scenario

Let’s say you indexed the following document:

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

Now, when you attempt to query for an exact email match like so:

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

You might find that the response returns zero hits, which is frustrating! What could be going wrong here?

The Solution: Properly Formatting Your Data

The key issue in this scenario often lies not within the mapping but rather in how the data is being indexed. While your mapping may be correct, the values in the arrays need to be properly formatted as JSON.

Correct Input Format

To ensure your searches are effective, you must input your email and title arrays correctly. Here's how to do that when indexing a document:

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

As you can see, it's important to parse the array properly, allowing ElasticSearch to interpret it correctly as an array of keywords.

Why It Matters

When you index your data correctly, ElasticSearch can recognize the keywords properly during querying:

Exact Match Capability: This allows you to utilize the full capabilities of exact matching with keyword data types.

Arrays Handling: By ensuring all entries are correctly parsed, you allow ElasticSearch to efficiently handle your queries without confusion over data types.

Conclusion

If you follow the instructions provided, you should be able to perform exact match queries on your keyword datatype fields stored as arrays without any issues. By ensuring that you format your JSON data correctly before indexing, you set yourself up for success when running queries.

Next Steps

Try re-indexing your documents with the suggested format and run your queries again. If you continue to have questions or issues, feel free to reach out to the ElasticSearch community or refer to the documentation for additional guidance.

By understanding the nuances of how ElasticSearch manages different data types and formats, you'll become more proficient in leveraging its capabilities effectively!