In Elasticsearch, you can filter out empty buckets from aggregation results using the min_doc_count parameter. This parameter specifies the minimum number of documents a bucket must have to be included in the aggregation results. Buckets with fewer documents than the min_doc_count will be excluded from the results.

Here's an example of how to use the min_doc_count parameter in an aggregation query:

Suppose we have an index named "my_index" with a field called "category" that we want to aggregate on. We want to find the count of documents in each category but exclude categories that have zero documents.

json
{ "size": 0, "aggs": { "categories": { "terms": { "field": "category", "min_doc_count": 1 } } } }

In this example, we use the "terms" aggregation on the "category" field. The min_doc_count: 1 ensures that only buckets with at least one document (non-empty buckets) will be included in the aggregation results. Buckets with zero documents will be excluded.

Remember to replace "my_index" and "category" with the actual names of your index and field, respectively.

By using the min_doc_count parameter, you can effectively filter out empty buckets from the aggregation results and focus only on the relevant data.

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