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Posted to dev@bigtop.apache.org by "jay vyas (JIRA)" <ji...@apache.org> on 2015/02/20 02:35:11 UTC

[jira] [Closed] (BIGTOP-1414) Add Apache Spark implementation to BigPetStore

     [ https://issues.apache.org/jira/browse/BIGTOP-1414?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

jay vyas closed BIGTOP-1414.
----------------------------

closing, this has been completed.

> Add Apache Spark implementation to BigPetStore
> ----------------------------------------------
>
>                 Key: BIGTOP-1414
>                 URL: https://issues.apache.org/jira/browse/BIGTOP-1414
>             Project: Bigtop
>          Issue Type: Improvement
>          Components: blueprints
>    Affects Versions: backlog
>            Reporter: jay vyas
>            Assignee: jay vyas
>             Fix For: 0.9.0
>
>         Attachments: chart.png
>
>
> Currently we only process data with hadoop.  Now its time to add spark to the bigpetstore application.  This will basically demonstrate the difference between a mapreduce based hadoop implementation of a big data app, versus a Spark one.   
> *We will need to*
> - update graphviz arch.dot to diagram spark as a new path.
> - Adding a spark job to the existing code, in a new package., which uses existing scala based generator, however, we will use it inside  a spark job, rather than in a hadoop inputsplit.
> - The job should output to an RDD, which can then be serialized to disk, or else, fed into the next spark job... 
> *So, the next spark job should*
> - group the data and write product summaries to a local file
> - run a product recommender against the input data set.
> We want the jobs to be runnable as modular, or as a single job, to leverage the RDD paradigm.  
> So it will be interesting to see how the code is architected.    Lets start the planning in this JIRA.  I have some stuff ive informally hacked together, maybe i can attach an initial patch just to start a dialog. 



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