What errors do you see? protobuf errors usually mean you didn't build
for the right version of Hadoop, but if you are using -Phadoop-2.3 or
better -Phadoop-2.4 that should be fine. Yes, a stack trace would be
good. I'm still not sure what error you are seeing.

On Fri, Dec 12, 2014 at 10:32 PM, Ganelin, Ilya
<ilya.gane...@capitalone.com> wrote:
> Hi Sean - I should clarify : I was able to build the master but when running
> I hit really random looking protobuf errors (just starting up a spark
> shell), I can try doing a build later today and give the exact stack trace.
>
> I know that 5.2 is running 1.1 but I believe the latest and greatest Ml Lib
> is much fresher than the one in 1.1 and specifically includes fixed for ALS
> to help it scale better.
>
> I had built with the exact flags you suggested below. After doing so I tried
> to run the test suite and run a spark she'll without success. Might you have
> any other suggestions? Thanks!
>
>
>
> Sent with Good (www.good.com)
>
>
>
> -----Original Message-----
> From: Sean Owen [so...@cloudera.com]
> Sent: Friday, December 12, 2014 04:54 PM Eastern Standard Time
> To: Ganelin, Ilya
> Cc: dev
> Subject: Re: Newest ML-Lib on Spark 1.1
>
> Could you specify what problems you're seeing? there is nothing
> special about the CDH distribution at all.
>
> The latest and greatest is 1.1, and that is what is in CDH 5.2. You
> can certainly compile even master for CDH and get it to work though.
>
> The safest build flags should be "-Phadoop-2.4
> -Dhadoop.version=2.5.0-cdh5.2.1".
>
> 5.3 is just around the corner, and includes 1.2, which is also just
> around the corner.
>
> On Fri, Dec 12, 2014 at 9:41 PM, Ganelin, Ilya
> <ilya.gane...@capitalone.com> wrote:
>> Hi all – we’re running CDH 5.2 and would be interested in having the
>> latest and greatest ML Lib version on our cluster (with YARN). Could anyone
>> help me out in terms of figuring out what build profiles to use to get this
>> to play well? Will I be able to update ML-Lib independently of updating the
>> rest of spark to 1.2 and beyond? I ran into numerous issues trying to build
>> 1.2 against CDH’s Hadoop deployment. Alternately, if anyone has managed to
>> get the trunk successfully built and tested against Cloudera’s YARN and
>> Hadoop for 5.2 I would love some help. Thanks!
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