[
https://issues.apache.org/jira/browse/LUCENE-9387?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17121265#comment-17121265
]
Andrzej Bialecki commented on LUCENE-9387:
------------------------------------------
In Solr usage the RAM consumption by LeafReaders is usually insignificant
compared to all other in-memory data so even a crude approximation would be ok.
However, I imagine that for pure Lucene-based apps on a tight memory budget it
may indeed be an important factor.
> Remove RAM accounting from LeafReader
> -------------------------------------
>
> Key: LUCENE-9387
> URL: https://issues.apache.org/jira/browse/LUCENE-9387
> Project: Lucene - Core
> Issue Type: Improvement
> Reporter: Adrien Grand
> Priority: Minor
>
> Context for this issue can be found at
> https://lists.apache.org/thread.html/r06b6a63d8689778bbc2736ec7e4e39bf89ae6973c19f2ec6247690fd%40%3Cdev.lucene.apache.org%3E.
> RAM accounting made sense when readers used lots of memory. E.g. when norms
> were on heap, we could return memory usage of the norms array and memory
> estimates would be very close to actual memory usage.
> However nowadays, readers consume very little memory, so RAM accounting has
> become less valuable. Furthermore providing good estimates has become
> incredibly complex as we can no longer focus on a couple main contributors to
> memory usage, but would need to start considering things that we historically
> ignored, such as field infos, segment infos, NIOFS buffers, etc.
> Let's remove RAM accounting from LeafReader?
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@lucene.apache.org
For additional commands, e-mail: issues-h...@lucene.apache.org
