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https://issues.apache.org/jira/browse/CHUKWA-306?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12756830#action_12756830
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Jiaqi Tan commented on CHUKWA-306:
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I would think there is some utility code to be written, and some config files
to make Chukwa run without daemons, but this is mostly documentation. The
backfilling tool already goes some way to meeting this, and the next thing we
need to do is to remove the MySQL dependency but there's another JIRA for that.
I am planning to submit a bunch of configs + scripts as a contrib module that
would enable Chukwa to run without a Hadoop instance backing it using
LocalJobRunner's and local storage.
> Standalone (non-daemon) Chukwa operation
> ----------------------------------------
>
> Key: CHUKWA-306
> URL: https://issues.apache.org/jira/browse/CHUKWA-306
> Project: Hadoop Chukwa
> Issue Type: Wish
> Reporter: Jiaqi Tan
> Priority: Critical
>
> This is an articulation of a possible alternative use of Chukwa as a
> standalone log analysis pipeline. This would enable users to read in existing
> logs from files, process (Demux) and perform analysis (e.g. current
> SALSA/Mochi toolchain) on them, and visualize them, without requiring the
> user to setup or run any daemons, nor database servers.
> This can be presented as an alternative interface to Chukwa for the user,
> where the main architectural parts (Chunks, post-Demux SequenceFiles of
> ChukwaRecords, post-Demux-processing SequenceFiles of ChukwaRecords, and
> finally time-aggregated database entries for fast visualization) remain
> unchanged, and Chukwa is manifest as a set of files in HDFS. The main value
> that Chukwa then provides to users is 1. centralized one-stop-shop for log
> processing+analysis+anomaly detection, 2. the ability to use MapReduce to
> process logs, regardless of whether they had used Chukwa to collect the logs.
> That way, the ability to process logs and analyze/do diagnosis is not tied to
> having to run the entire Chukwa daemon infrastructure, since many users who
> use Hadoop clusters may not have superuser access to those machines, e.g.
> users at universities using shared clusters.
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