Attachments don't work well with mailing lists. You might want to post the
yaml to a GitHub gist or some other public pastebin site and provide the
link instead. Also, I think this topic is more suited to the user@ mailing
list rather then this development-focused mailing list.
On Sat, Jun 2, 2018 at 1:20 Vinay Vongour <vin...@cloud-evolutions.com>
wrote:

> Hi all
>
>
>
> Hope you all doing good
>
> I am working on benchmarking Cassandra using Cassandra stress tool and
> results are not very impressive. I really some help to tune Cassandra to
> get great results. Below is my environment and test results and attached is
> Cassandra.yaml I am using for the test.
>
>
>
> I am running single node Cassandra virtual machine and 1 SSD disk in
> VMWare ESXi 6.7 eventually I want to scale the database to 4 fours once I
> get the expected results in the single node. Attached is the Cassandra.yaml
> file is used for configuring database.
>
>
>
> The result I am getting is not very impressive operations/sec is very low
> and the latency is very high for the reads here is the results it got from
> the test.
>
> Load command: Cassandra-stress write n=4000000000 -rate threads=96 -node
> $node1 -log file=load_400M.log
>
>
>
> *Results:*
>
> Op rate                   :    2,347 op/s  [READ: 2,347 op/s]
>
> Partition rate            :    2,347 pk/s  [READ: 2,347 pk/s]
>
> Row rate                  :    2,347 row/s [READ: 2,347 row/s]
>
> Latency mean              :  381.1 ms [READ: 381.1 ms]
>
> Latency median            :  327.4 ms [READ: 327.4 ms]
>
> Latency 95th percentile   :  836.2 ms [READ: 836.2 ms]
>
> Latency 99th percentile   : 1138.8 ms [READ: 1,138.8 ms]
>
> Latency 99.9th percentile : 1695.5 ms [READ: 1,695.5 ms]
>
> Latency max               : 6253.7 ms [READ: 6,253.7 ms]
>
> Total partitions          :  1,000,000 [READ: 1,000,000]
>
> Total errors              :          0 [READ: 0]
>
> Total GC count            : 0
>
> Total GC memory           : 0.000 KiB
>
> Total GC time             :    0.0 seconds
>
> Avg GC time               :    NaN ms
>
> StdDev GC time            :    0.0 ms
>
> Total operation time      : 00:07:06
>
>
>
> The write performance is really impressive with less latency and good
> operation/sec and when we compare it with reads I feel something is wrong.
>
> Read command: Cassandra-stress read n=100000000  no-warmup cl=one -mode
> native cql3 -schema keyspace=”keyspace1” -rate threads=96 -node $node1 -log
> file=read_10M_test.log
>
>
>
> Results:
>
> Op rate                   :   35,979 op/s  [WRITE: 35,979 op/s]
>
> Partition rate            :   35,979 pk/s  [WRITE: 35,979 pk/s]
>
> Row rate                  :   35,979 row/s [WRITE: 35,979 row/s]
>
> Latency mean              :    3.3 ms [WRITE: 3.3 ms]
>
> Latency median            :    2.2 ms [WRITE: 2.2 ms]
>
> Latency 95th percentile   :    8.2 ms [WRITE: 8.2 ms]
>
> Latency 99th percentile   :   17.6 ms [WRITE: 17.6 ms]
>
> Latency 99.9th percentile :   75.6 ms [WRITE: 75.6 ms]
>
> Latency max               : 1840.3 ms [WRITE: 1,840.3 ms]
>
> Total partitions          : 1,600,000,000 [WRITE: 1,600,000,000]
>
> Total errors              :          0 [WRITE: 0]
>
> Total GC count            : 0
>
> Total GC memory           : 0.000 KiB
>
> Total GC time             :    0.0 seconds
>
> Avg GC time               :    NaN ms
>
> StdDev GC time            :    0.0 ms
>
> Total operation time      : 12:21:10
>
>
>
>
>
> When I compare the both read and write performance they are not at all
> consistent and I feel there is some kind of bottleneck with the reads
> during test.
>
>
>
> Could you please look into these details and let me know where I am
> missing I have been struggling hard to get good results out of Cassandra
> database but I couldn’t figure out where I am missing.
>
>
>
> Please let me know if you need additional information about the Cassandra
> setup.
>
>
>
>
>
> Thanks and Regards
>
> Vinay Kumar Vongour
>
>
>
>
>
>
>
> Thanks and Regards
>
> Vinay Kumar Vongour
>
>
>
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-- 

Muru

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