0.9.0  .... What do you mean by explicitly setting the /tmp path?

Thanks for the feedback.  FYI, after the job is run, I see that it fails
IMMEDIATELY when starting the PreparePreferenceMatrix job, and i see this
in my local hadoop /tmp dir:

├── [        102]  local
│   └── [        102]  localRunner
│       └── [        170]  jay
│           ├── [         68]  job_local1531736937_0001
│           ├── [         68]  job_local218993552_0002
│           └── [        136]  jobcache
│               ├── [        102]  job_local1531736937_0001
│               │   └── [        102]
attempt_local1531736937_0001_m_000000_0
│               │       └── [        136]  output
│               │           ├── [         14]  file.out
│               │           └── [         32]  file.out.index
│               └── [        102]  job_local218993552_0002
│                   └── [        102]
attempt_local218993552_0002_m_000000_0
│                       └── [        136]  output
│                           ├── [         14]  file.out
│                           └── [         32]  file.out.index
└── [        136]  staging
    ├── [        102]  jay1531736937
    └── [        102]  jay218993552



On Sat, Mar 29, 2014 at 2:01 AM, Sebastian Schelter <[email protected]> wrote:

> Jay,
>
> which version of Mahout are you using? Have you tried to explicitly set
> the temp path?
>
> --sebastian
>
>
> On 03/29/2014 01:52 AM, Jay Vyas wrote:
>
>> Hi again mahout:
>>
>> Im wrapping a distributed recommender like this:
>>
>> https://raw.githubusercontent.com/jayunit100/bigpetstore/
>> master/src/main/java/org/bigtop/bigpetstore/clustering/BPSRecommnder.java
>>
>> And its not working.
>>
>> Any thoguhts on why?  The error message is simply that intermediate data
>> sets dont exist (i.e. numUsers.bin or /tmp/preparePreferencesMatrix...).
>>
>> Basically its clear that the intermediate jobs are failing but i cant see
>> any reason why they would fail.... And I don't see any meaningfull stack
>> traces.
>>
>> I've found alot of good whitepapers and stuff on how the algorithms work ,
>> but its not clear what is really done for me by mahout, and what i have to
>> do on my own for the distributed recommender APIs.
>>
>>
>


-- 
Jay Vyas
http://jayunit100.blogspot.com

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