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