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https://issues.apache.org/jira/browse/LUCENE-8438?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16575905#comment-16575905
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Dawid Weiss commented on LUCENE-8438:
-------------------------------------

To me it's physically a set of buffers that hold the content, so ByteBuffersXXX 
is more intuitive to me (and concise). I'd expect something called 
ByteBufferDataOutput to use a single buffer and I reflected this in the naming.

As for ByteBuffersDirectory I don't have a strong opinion there. My take is 
that given the flexibility of the provided buffer supplier/ recycler (you can 
use direct buffers instead of heap buffers) it may make more sense to name it 
after what it does -- use byte buffers to store the content of files. 

> RAMDirectory speed improvements and cleanup
> -------------------------------------------
>
>                 Key: LUCENE-8438
>                 URL: https://issues.apache.org/jira/browse/LUCENE-8438
>             Project: Lucene - Core
>          Issue Type: Improvement
>            Reporter: Dawid Weiss
>            Assignee: Dawid Weiss
>            Priority: Minor
>         Attachments: capture-1.png, capture-4.png
>
>          Time Spent: 1h 40m
>  Remaining Estimate: 0h
>
> RAMDirectory screams for a cleanup. It is used and abused in many places and 
> even if we discourage its use in favor of native (mmapped) buffers, there 
> seem to be benefits of keeping RAMDirectory available (quick throw-away 
> indexes without the need to setup external tmpfs, for example).
> Currently RAMDirectory performs very poorly under concurrent loads. The 
> implementation is also open for all sorts of abuses – the streams can be 
> reset and are used all around the place as temporary buffers, even without 
> the presence of RAMDirectory itself. This complicates the implementation and 
> is pretty confusing.
> An example of how dramatically slow RAMDirectory is under concurrent load, 
> consider this PoC pseudo-benchmark. It creates a single monolithic segment 
> with 500K very short documents (single field, with norms). The index is ~60MB 
> once created. We then run semi-complex Boolean queries on top of that index 
> from N concurrent threads. The attached capture-4 shows the result (queries 
> per second over 5-second spans) for a varying number of concurrent threads on 
> an AWS machine with 32 CPUs available (of which it seems 16 seem to be real, 
> 16 hyper-threaded). That red line at the bottom (which drops compared to a 
> single-threaded performance) is the current RAMDirectory. RAMDirectory2 is an 
> alternative implementation I wrote that uses ByteBuffers. Yes, it's slower 
> than the native mmapped implementation, but a *lot* faster then the current 
> RAMDirectory (and more GC-friendly because it uses dynamic progressive block 
> scaling internally).



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