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Posted to issues@lucene.apache.org by "jianping weng (Jira)" <ji...@apache.org> on 2022/02/18 06:42:00 UTC
[jira] [Updated] (LUCENE-10425) log count aggregation optimization inside one segment
[ https://issues.apache.org/jira/browse/LUCENE-10425?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
jianping weng updated LUCENE-10425:
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Summary: log count aggregation optimization inside one segment (was: Lucene supports bkd binary search and return current index of posting list)
> log count aggregation optimization inside one segment
> -----------------------------------------------------
>
> Key: LUCENE-10425
> URL: https://issues.apache.org/jira/browse/LUCENE-10425
> Project: Lucene - Core
> Issue Type: New Feature
> Components: core/search
> Reporter: jianping weng
> Priority: Major
> Time Spent: 20m
> Remaining Estimate: 0h
>
> 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 [https://github.com/apache/lucene/pull/687] 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
>
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