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https://issues.apache.org/jira/browse/SOLR-11078?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16686873#comment-16686873
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Adrien Grand commented on SOLR-11078:
-------------------------------------

I'm not aware of such benchmarks, but I've had a couple Elasticsearch users who 
reported slowdowns after we changed numeric fields to be backed by points 
rather than the inverted index. If your exact query doesn't match many 
documents, performance would be mostly the same, but otherwise the fact that 
points need to collect all doc IDs into an array and sort them when the 
inverted index has a ready-to-use DISI thanks to postings makes them slower.

> Solr query performance degradation since Solr 6.4.2
> ---------------------------------------------------
>
>                 Key: SOLR-11078
>                 URL: https://issues.apache.org/jira/browse/SOLR-11078
>             Project: Solr
>          Issue Type: Bug
>      Security Level: Public(Default Security Level. Issues are Public) 
>          Components: search, Server
>    Affects Versions: 6.6, 7.1
>         Environment: * CentOS 7.3 (Linux zasolrm03 3.10.0-514.26.2.el7.x86_64 
> #1 SMP Tue Jul 4 15:04:05 UTC 2017 x86_64 x86_64 x86_64 GNU/Linux)
> * Java HotSpot(TM) 64-Bit Server VM (build 25.121-b13, mixed mode)
> * 4 CPU, 10GB RAM
> Running Solr 6.6.0 with the following JVM settings:
> java -server -Xms4G -Xmx4G -XX:NewRatio=3 -XX:SurvivorRatio=4 
> -XX:TargetSurvivorRatio=90 -XX:MaxTenuringThreshold=8 -XX:+UseConcMarkSweepGC 
> -XX:+UseParNewGC -XX:ConcGCThreads=4 -XX:ParallelGCThreads=4 
> -XX:+CMSScavengeBeforeRemark -XX:PretenureSizeThreshold=64m 
> -XX:+UseCMSInitiatingOccupancyOnly -XX:CMSInitiatingOccupancyFraction=50 
> -XX:CMSMaxAbortablePrecleanTime=6000 -XX:+CMSParallelRemarkEnabled 
> -XX:+ParallelRefProcEnabled -verbose:gc -XX:+PrintHeapAtGC 
> -XX:+PrintGCDetails -XX:+PrintGCDateStamps -XX:+PrintGCTimeStamps 
> -XX:+PrintTenuringDistribution -XX:+PrintGCApplicationStoppedTime 
> -Xloggc:/home/prodza/solrserver/../logs/solr_gc.log -XX:+UseGCLogFileRotation 
> -XX:NumberOfGCLogFiles=9 -XX:GCLogFileSize=20M 
> -Dsolr.log.dir=/home/prodza/solrserver/../logs -Djetty.port=8983 
> -DSTOP.PORT=7983 -DSTOP.KEY=solrrocks -Duser.timezone=SAST 
> -Djetty.home=/home/prodza/solrserver/server 
> -Dsolr.solr.home=/home/prodza/solrserver/../solr 
> -Dsolr.install.dir=/home/prodza/solrserver 
> -Dlog4j.configuration=file:/home/prodza/solrserver/../config/log4j.properties 
> -Xss256k -Xss256k -Dsolr.log.muteconsole 
> -XX:OnOutOfMemoryError=/home/prodza/solrserver/bin/oom_solr.sh 8983 
> /home/prodza/solrserver/../logs -jar start.jar --module=http
>            Reporter: bidorbuy
>            Priority: Major
>         Attachments: compare-6.4.2-6.6.0.png, core-admin-tradesearch.png, 
> image-2018-11-14-19-00-39-395.png, image-2018-11-14-19-02-20-216.png, 
> jvm-stats.png, schema.xml, screenshot-1.png, screenshot-2.png, 
> screenshot-3.png, solr-6-4-2-schema.xml, solr-6-4-2-solrconfig.xml, 
> solr-7-1-0-managed-schema, solr-7-1-0-solrconfig.xml, solr-71-vs-64.png, 
> solr-sample-warning-log.txt, solr.in.sh, solrconfig.xml
>
>
> We are currently running 2 separate Solr servers - refer to screenshots:
> * zasolrm02 is running on Solr 6.4.2
> * zasolrm03 is running on Solr 6.6.0
> Both servers have the same OS / JVM configuration and are using their own 
> indexes. We round-robin load-balance through our Tomcats and notice that 
> Since Solr 6.4.2 performance has dropped. We have two indices per server 
> "searchsuggestions" and "tradesearch". There is a noticeable drop in 
> performance since Solr 6.4.2.
> I am not sure if this is perhaps related to metric collation or other 
> underlying changes. I am not sure if other high transaction users have 
> noticed similar issues.
> *1) zasolrm03 (6.6.0) is almost twice as slow on the tradesearch index:*
> !compare-6.4.2-6.6.0.png!
> *2) This is also visible in the searchsuggestion index:*
> !screenshot-1.png!
> *3) The Tradesearch index shows the biggest difference:*
> !screenshot-2.png!



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