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From "Jiaqi Tan (JIRA)" <>
Subject [jira] Assigned: (CHUKWA-94) SALSA state-machine extraction from Hadoop logs
Date Fri, 12 Jun 2009 14:20:07 GMT


Jiaqi Tan reassigned CHUKWA-94:

    Assignee: Jiaqi Tan

> SALSA state-machine extraction from Hadoop logs
> -----------------------------------------------
>                 Key: CHUKWA-94
>                 URL:
>             Project: Hadoop Chukwa
>          Issue Type: New Feature
>          Components: Data Processors
>            Reporter: Jiaqi Tan
>            Assignee: Jiaqi Tan
>         Attachments: tan.pdf
>   Original Estimate: 672h
>  Remaining Estimate: 672h
> This is a proposed feature addition to extract state-machine views from Hadoop's logs
(TaskTracker, JobTracker, and DataNode currently supported, NameNode soon). These views are
as described in and will
enable analysis and diagnosis algorithms to be built on top of them.
> Building a full SALSA view involves two steps:
> 1. Incrementally parsing log entries on a per-node basis to extract states (line-by-line
reading, assuming the entire log file from a given node is available to the same process)
> 2. "Stitching" and correlating states across all logs (across nodes and across types)
to build a full state machine.
> My idea is to add SALSA as two jobs in the demux stage, with the first parsing job in
demux, and either having: 
> (a) the parsing job write its output to the permanent store with the correlating job
reading/writing from/to the permanent store, or 
> (b) the parsing job write its output back to the sinkfile and having the correlating
job reading from the sink file and writing to the permanent store.

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