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https://issues.apache.org/jira/browse/BIGTOP-1272?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14067616#comment-14067616
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jay vyas commented on BIGTOP-1272:
----------------------------------

Okay.  I got it to run.  Now here is a review: 


1) There is a *bug in the BPS_ANALYTICS.pig* output.  It appears we now have 
alot of entry records.

{noformat}
bash-4.1$ hadoop fs -cat pig_ad_hoc_script0/part*                               
                                                                                
        [172/1845]
                28
...
                72
                68
AK      filter  3
AK      air_pump        2
AK      cat_food        3
AK      dog_food        3
{noformat}

2) There needs to be doc in *README for running the Mahout Recommender job*.  
At this point I see no main() method in ItemRecommender, so running {{hadoop 
jar /home/bp/code/bigtop/bigtop-bigpetstore/BigPetStore.jar 
org.apache.bigtop.bigpetstore.recommend.ItemRecommender ....}} definetly is not 
an option. 

3) Also, *gradle tooling for fat jar*.

Then we will be able to try to run it again.

> 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, BIGTOP-1272.patch, 
> arch.jpeg, build.gradle
>
>
> 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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