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https://issues.apache.org/jira/browse/LUCENE-10572?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17536877#comment-17536877
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Robert Muir commented on LUCENE-10572:
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{quote}
With the swapping of bytes I remember the other issue where this was discussed. 
In my personal opinion we should just use ByteOrder.nativeOrder() here to get 
the varhandle. The byte order does not matter, we just need to get 2 bytes to 
seed the hash. So to be fast on all platforms use the native order.
{quote}

The problem is there are a lot of different places today specifying bigendian, 
little-endian all over the place. The byte order does matter, in the sense that 
it needs to be e.g. consistent with ByteBlockPool's code and what not. We do 
encoding/decoding (just to memory). so if we start specifying nativeOrder() 
just here in BytesRefHash, but neglect to consistently do it in the same places 
in ByteBlockPool, then we are going to have bugs. ones that won't be detected 
by any CI today.

So yes, I stand by my assessment: there are enough endian shenanigans happening 
that its dangerous to start mixing in nativeOrder() into this stuff unless we 
can test on platform where its BE.

> Can we optimize BytesRefHash?
> -----------------------------
>
>                 Key: LUCENE-10572
>                 URL: https://issues.apache.org/jira/browse/LUCENE-10572
>             Project: Lucene - Core
>          Issue Type: Improvement
>            Reporter: Michael McCandless
>            Priority: Major
>
> I was poking around in our nightly benchmarks 
> ([https://home.apache.org/~mikemccand/lucenebench]) and noticed in the JFR 
> profiling that the hottest method is this:
> {noformat}
> PERCENT       CPU SAMPLES   STACK
> 9.28%         53848         org.apache.lucene.util.BytesRefHash#equals()
>                               at 
> org.apache.lucene.util.BytesRefHash#findHash()
>                               at org.apache.lucene.util.BytesRefHash#add()
>                               at 
> org.apache.lucene.index.TermsHashPerField#add()
>                               at 
> org.apache.lucene.index.IndexingChain$PerField#invert()
>                               at 
> org.apache.lucene.index.IndexingChain#processField()
>                               at 
> org.apache.lucene.index.IndexingChain#processDocument()
>                               at 
> org.apache.lucene.index.DocumentsWriterPerThread#updateDocuments() {noformat}
> This is kinda crazy – comparing if the term to be inserted into the inverted 
> index hash equals the term already added to {{BytesRefHash}} is the hottest 
> method during nightly benchmarks.
> Discussing offline with [~rcmuir] and [~jpountz] they noticed a few 
> questionable things about our current implementation:
>  * Why are we using a 1 or 2 byte {{vInt}} to encode the length of the 
> inserted term into the hash?  Let's just use two bytes always, since IW 
> limits term length to 32 K (< 64K that an unsigned short can cover)
>  * Why are we doing byte swapping in this deep hotspot using {{VarHandles}} 
> (BitUtil.VH_BE_SHORT.get)
>  * Is it possible our growth strategy for {{BytesRefHash}} (on rehash) is not 
> aggressive enough?  Or the initial sizing of the hash is too small?
>  * Maybe {{MurmurHash}} is not great (causing too many conflicts, and too 
> many {{equals}} calls as a result?) – {{Fnv}} and {{xxhash}} are possible 
> "upgrades"?
>  * If we stick with {{{}MurmurHash{}}}, why are we using the 32 bit version 
> ({{{}murmurhash3_x86_32{}}})?
>  * Are we using the JVM's intrinsics to compare multiple bytes in a single 
> SIMD instruction ([~rcmuir] is quite sure we are indeed)?
>  * [~jpountz] suggested maybe the hash insert is simply memory bound
>  * {{TermsHashPerField.writeByte}} is also depressingly slow (~5% of total 
> CPU cost)
> I pulled these observations from a recent (5/6/22) profiler output: 
> [https://home.apache.org/~mikemccand/lucenebench/2022.05.06.06.33.00.html]
> Maybe we can improve our performance on this crazy hotspot?
> Or maybe this is a "healthy" hotspot and we should leave it be!



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