Elasticsearch 8.5 Aggregation with Date Range Filter Returns Unexpected Results
I've been banging my head against this for hours. Hey everyone, I'm running into an issue that's driving me crazy... I'm not sure how to approach I'm experiencing unexpected results when performing an aggregation with a date range filter in Elasticsearch 8.5. I have an index containing documents that include a timestamp field formatted as `ISO 8601`. I want to get the average of a numeric field, but the result is not aligned with what I expect based on the timestamp filtering. Here's my query: ```json { "query": { "range": { "timestamp": { "gte": "2023-01-01T00:00:00Z", "lte": "2023-01-31T23:59:59Z" } } }, "aggs": { "average_value": { "avg": { "field": "numeric_field" } } } } ``` When I execute this query, I get an average value of 50, while I expected it to be around 75. To troubleshoot, I used the following steps: 1. I confirmed that the `timestamp` field is correctly indexed and in the right format. 2. I double-checked the data in the specified date range using a simple `match_all` query to ensure that there are indeed documents that should contribute to the average: ```json { "query": { "match_all": {} } } ``` 3. I even tried running the aggregation without the filter to see if the average changes, which it does, but that average is still not reflecting my expectations. Finally, I noticed that the index might have multiple shards, and I'm wondering if the distribution of data across them could affect the aggregation results. Is there a recommended approach to ensure consistent aggregation results in such scenarios? Could there be any settings or configurations Iām overlooking? This is part of a larger REST API I'm building. I'd love to hear your thoughts on this. Thanks for taking the time to read this! This is for a REST API running on macOS.