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From "Russell Alexander Spitzer (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (CASSANDRA-11542) Create a benchmark to compare HDFS and Cassandra bulk read times
Date Fri, 29 Apr 2016 05:20:13 GMT

    [ https://issues.apache.org/jira/browse/CASSANDRA-11542?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15263561#comment-15263561
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Russell Alexander Spitzer commented on CASSANDRA-11542:
-------------------------------------------------------

One other thing, when we were testing before we noticed that our Reads were not IO bound,
with Streaming are we now IO bound on the C* side? IE is drive usage at full?

> Create a benchmark to compare HDFS and Cassandra bulk read times
> ----------------------------------------------------------------
>
>                 Key: CASSANDRA-11542
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-11542
>             Project: Cassandra
>          Issue Type: Sub-task
>          Components: Testing
>            Reporter: Stefania
>            Assignee: Stefania
>             Fix For: 3.x
>
>         Attachments: spark-load-perf-results-001.zip, spark-load-perf-results-002.zip
>
>
> I propose creating a benchmark for comparing Cassandra and HDFS bulk reading performance.
Simple Spark queries will be performed on data stored in HDFS or Cassandra, and the entire
duration will be measured. An example query would be the max or min of a column or a count\(*\).
> This benchmark should allow determining the impact of:
> * partition size
> * number of clustering columns
> * number of value columns (cells)



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