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https://issues.apache.org/jira/browse/LUCENE-9297?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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kaihe updated LUCENE-9297:
--------------------------
    Summary: partly updating strategy  (was: Index has about 600+ 
columns,average size of doc is relatively big, Lucene firstly obtain the 
original doc from disk and then merge the old and the updating coulmns to a new 
one,finally flush to disk.The dsik io usage rate of our 150+ nodes always reach 
)

> partly updating strategy
> ------------------------
>
>                 Key: LUCENE-9297
>                 URL: https://issues.apache.org/jira/browse/LUCENE-9297
>             Project: Lucene - Core
>          Issue Type: New Feature
>            Reporter: kaihe
>            Priority: Major
>
> Index has about 600+ columns,average size of doc is relatively big, Lucene 
> firstly obtain the original doc from disk and then merge the old and the 
> updating coulmns to a new one,finally flush to disk.
> The dsik io usage rate of our 150+ nodes always reach nearly 99% while partly 
> updating requests call frequently.
> I want to optimize the partly updating strategy, only partly columns instead 
> of all are obtained and merge into a new one while partly updating request 
> calls,in purpose of cuting down disk io usage rate.
> is there any suggestions?



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