[ 
https://issues.apache.org/jira/browse/CASSANDRA-10326?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Ariel Weisberg resolved CASSANDRA-10326.
----------------------------------------
       Resolution: Not A Problem
    Fix Version/s:     (was: 3.0.x)
                   3.0.0

I ran more samples. I meant to run 2.2.3 three times, but accidentally only ran 
it twice. [3.0 looks the same or better at both throughput and 99.9%tile 
latency.|http://cstar.datastax.com/graph?command=one_job&stats=4b5e641e-93a9-11e5-b32e-0256e416528f&metric=99th_latency&operation=4_user&smoothing=1&show_aggregates=true&xmin=0&xmax=44.66&ymin=0&ymax=57.2].

I am closing as {{Not A Problem}} with fix version {{3.0.0}}.


> Performance is worse in 3.0
> ---------------------------
>
>                 Key: CASSANDRA-10326
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-10326
>             Project: Cassandra
>          Issue Type: Bug
>            Reporter: Benedict
>            Assignee: Ariel Weisberg
>             Fix For: 3.0.0
>
>
> Performance is generally turning out to be worse after 8099, despite a number 
> of unrelated performance enhancements being delivered. This isn't entirely 
> unexpected, given a great deal of time was spent optimising the old code, 
> however things appear worse than we had hoped.
> My expectation was that workloads making extensive use of CQL constructs 
> would be faster post-8099, however the latest tests performed with very large 
> CQL rows, including use of collections, still exhibit performance below that 
> of 2.1 and 2.2. 
> Eventually, as the dataset size grows large enough and the locality of access 
> is just right, the reduction in size of our dataset will yield a window 
> during which some users will perform better due simply to improved page cache 
> hit rates. We seem to see this in some of the tests. However we should be at 
> least as fast (and really faster) off the bat.
> The following are some large partition benchmark results, with as many as 40K 
> rows per partition, running LCS. There are a number of parameters we can 
> modify to see how behaviour changes and under what scenarios we might still 
> be faster, but the picture painted isn't brilliant, and is consistent, so we 
> should really try and figure out what's up before GA.
> [trades-with-flags (collections), 
> blade11b|http://cstar.datastax.com/graph?stats=f0a17292-5a13-11e5-847a-42010af0688f&metric=op_rate&operation=1_user&smoothing=1&show_aggregates=true&xmin=0&xmax=4387.02&ymin=0&ymax=122951.4]
> [trades-with-flags (collections), 
> blade11|http://cstar.datastax.com/graph?stats=e25aaaa0-5a13-11e5-ae0d-42010af0688f&metric=op_rate&operation=1_user&smoothing=1&show_aggregates=true&xmin=0&xmax=4424.75&ymin=0&ymax=130158.6]
> [trades (no collections), 
> blade11|http://cstar.datastax.com/graph?stats=9b7da48e-570c-11e5-90fe-42010af0688f&metric=op_rate&operation=1_user&smoothing=1&show_aggregates=true&xmin=0&xmax=2682.46&ymin=0&ymax=142547.9]
> [~slebresne]: will you have time to look into this before GA?



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

Reply via email to