Elasticsearch 8.5 Aggregation Returns Unexpected Bucket Counts with Date Range Filter
I'm performance testing and I can't seem to get I'm trying to configure I'm working on a project and hit a roadblock..... I'm encountering a strange issue with Elasticsearch 8.5 while trying to perform aggregations on a dataset filtered by a date range. I have documents indexed with a timestamp field called `created_at`, and I'm using a date range filter to narrow down my results. However, the bucket counts for my aggregation are not matching the number of documents I expect. Here's the query I'm currently using: ```json { "query": { "range": { "created_at": { "gte": "2023-01-01T00:00:00Z", "lte": "2023-12-31T23:59:59Z" } } }, "aggs": { "status_counts": { "terms": { "field": "status" } } } } ``` When I run this query, I get a count of documents that is significantly lower than what I see when I just filter by the date range without the aggregation. I'm seeing something like 150 documents in the date range, but my `status_counts` aggregation only returns counts summing to around 80. I've verified the data in the index, and it all seems to have valid `created_at` timestamps. I also tried using the `filter` aggregation instead of putting the range directly in the query, like this: ```json { "aggs": { "filtered_by_date": { "filter": { "range": { "created_at": { "gte": "2023-01-01T00:00:00Z", "lte": "2023-12-31T23:59:59Z" } } }, "aggs": { "status_counts": { "terms": { "field": "status" } } } } } } ``` But I still get the same incorrect counts. I’ve confirmed that the `status` field is not analyzed and is of type `keyword`. Is there something I might be overlooking in my query structure or a potential issue with how the data is indexed? Any insights would be greatly appreciated! This is part of a larger service I'm building. Any ideas how to fix this? For context: I'm using Json on macOS. Thanks, I really appreciate it! Thanks for taking the time to read this!