count aggregation optimization inside one segment in log scenario [LUCENE-10425]

In log scenario, we usually want to know the doc count of documents between every time intervals. One possible optimized method is to sort the docuemt in ascend order according to `@timestamp` field in one segment. then we can use    this pr  to find out the min/max docId in on time interval.

If there is no other filter query, the doc count of one time interval is (max docId- min docId +1)

if there is only one another term filter query, we can use this pr [https://github.com/apache/lucene/pull/688 ](https://github.com/apache/lucene/pull/688)to get the diff value of index, when we call advance(minId) and advance(maxId), the diff value is also the doc count of one time interval

---
Migrated from [LUCENE-10425](https://issues.apache.org/jira/browse/LUCENE-10425) by jianping weng (@wjp719), updated Mar 29 2022

Start by reading the log scenario context and the referenced Lucene pull requests #687 and #688, which describe doc ID range and iterator advancement behavior. The issue does not name files or tests and does not define a concrete acceptance criterion, so the implementation scope and definition of done need clarification.

Written by the indexing model from the issue text.