You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@lucene.apache.org by "Michael McCandless (Jira)" <ji...@apache.org> on 2022/05/13 19:13:00 UTC

[jira] [Created] (LUCENE-10572) Can we optimize BytesRefHash

Michael McCandless created LUCENE-10572:
-------------------------------------------

             Summary: 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


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!



--
This message was sent by Atlassian Jira
(v8.20.7#820007)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@lucene.apache.org
For additional commands, e-mail: issues-help@lucene.apache.org