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https://issues.apache.org/jira/browse/BIGTOP-1272?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14052387#comment-14052387
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bhashit parikh commented on BIGTOP-1272:
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Okay. That is a better option. Since the {{arch.dot}} didn't show any other
command line args, I thought maybe the maven feature for bundling the
dependencies was being used. Cool. I'll do the testing using that then. Is
there anything special about {{HADOOP_CLASSPATH}}?
> BigPetStore: Productionize the Mahout recommender
> -------------------------------------------------
>
> Key: BIGTOP-1272
> URL: https://issues.apache.org/jira/browse/BIGTOP-1272
> Project: Bigtop
> Issue Type: New Feature
> Components: Blueprints
> Affects Versions: backlog
> Reporter: jay vyas
> Attachments: BIGTOP-1272.patch, BIGTOP-1272.patch, arch.jpeg
>
>
> BIGTOP-1271 adds patterns into the data that gaurantee that a meaningfull
> type of product recommendation can be given for at least *some* customers,
> since we know that there are going to be many customers who only bought 1
> product, and also customers that bought 2 or more products -- even in a
> dataset size of 10. due to the gaussian distribution of purchases that is
> also in the dataset generator.
> The current mahout recommender code is statically valid: It runs to
> completion in local unit tests if a hadoop 1x tarball is present but
> otherwise it hasn't been tested at scale. So, lets get it working. this
> JIRA also will comprise:
> - deciding wether to use mahout 2x for unit tests (default on mahout maven
> repo is the 1x impl) and wether or not bigtop should host a mahout 2x jar?
> After all, bigtop builds a mahout 2x jar as part of its packaging process,
> and BigPetStore might thus need a mahout 2x jar in order to test against the
> right same of bigtop releases.
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