It may only be indirectly related to your question, but there is support for vectorized operations of byte[] arrays that was added in JDK 13 (this blog https://richardstartin.github.io/posts/vectorised-byte-operations explains well what it is about) that we started leveraging for compressing terms dictionaries in Lucene 8.5: https://issues.apache.org/jira/browse/LUCENE-4702.
I don't know how well this is known but our build also has logic to create multi-release JARs. We don't use it in master today but it's used on branch_8x, which requires Java 8, in order to use APIs that were introduced in Java 9 such as Arrays#mismatch. See the "patch-mr-jar" target in the branch_8x build: https://github.com/apache/lucene-solr/blob/branch_8x/lucene/common-build.xml#L602. So if APIs that could help performance were introduced in say JDK 15, we might still be able to leverage them in Lucene/Solr 9 using the same mechanism. On Tue, Aug 11, 2020 at 1:12 AM Marcus Eagan <marcusea...@gmail.com> wrote: > In my IDE, I have a few profiling tools that I bounce between that I > started using in my work at Lucidworks but I continue to use in my current > work today. I have suspicions that there may be some performance > improvements in Java 11 that we can exploit further. I'm curious as to if > there has been any investigation, possibly Mark Miller or @u...@thetaphi.de > <u...@thetaphi.de>, into performance improvements specific to the newer > version of Java in Master? There are some obvious ones that we get for > free, like a better GC, but curious as to prior work in this area before > publishing anything that might be redundant or irrelevant. > > Best, > > -- > Marcus Eagan > > -- Adrien
