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From "Thamali Wijewardhana (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (COMDEV-192) Add a Kudu backend for Apache HTrace
Date Tue, 15 Mar 2016 23:28:33 GMT

    [ https://issues.apache.org/jira/browse/COMDEV-192?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15196473#comment-15196473
] 

Thamali Wijewardhana commented on COMDEV-192:
---------------------------------------------

Hi,
I am an undergraduate at Department of Computer Science and engineering, University of Moratuwa,
Sri lanka.I am interested with working with apache.  I have worked a lot with apache spark
ml library during my internship. I like to work with apache HTrace. I am interested in this
project and I would like to work with this project in GSOC 2016. Please kindly give me further
information on how I could proceed.

Thanks

> Add a Kudu backend for Apache HTrace
> ------------------------------------
>
>                 Key: COMDEV-192
>                 URL: https://issues.apache.org/jira/browse/COMDEV-192
>             Project: Community Development
>          Issue Type: New Feature
>            Reporter: Colin Patrick McCabe
>              Labels: gsoc, gsoc2016, mentor
>
> The Apache HTrace distributed tracing framework allows developers and system administrators
to get an end-to-end view of system performance, in a manner similar to XTrace or Dapper.
See http://htrace.incubator.apache.org/
> Kudu is a key/value store optimized for analytic workloads, with excellent performance
and latency on large datasets.  See https://blog.cloudera.com/blog/2015/09/kudu-new-apache-hadoop-storage-for-fast-analytics-on-fast-data/
 It is columnar and supports predicate push-down and many other optimizations.  Storing HTrace
traces in Kudu would allow us to run SQL queries on the data and get rapid responses (via
either Impala, Spark, or other execution engines).  This would enable near-realtime analysis
of HTrace data.



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