And a little more details on Spark version, hadoop version and distribution
would also help...

On Thu, Oct 13, 2016 at 9:05 PM, ayan guha <guha.a...@gmail.com> wrote:

> I think one point you need to mention is your target - HDFS, Hive or Hbase
> (or something else) and which end points are used.
>
> On Thu, Oct 13, 2016 at 8:50 PM, dbolshak <bolshakov.de...@gmail.com>
> wrote:
>
>> Hello community,
>>
>> We've a challenge and no ideas how to solve it.
>>
>> The problem,
>>
>> Say we have the following environment:
>> 1. `cluster A`, the cluster does not use kerberos and we use it as a
>> source
>> of data, important thing is - we don't manage this cluster.
>> 2. `cluster B`, small cluster where our spark application is running and
>> performing some logic. (we manage this cluster and it does not have
>> kerberos).
>> 3. `cluster C`, the cluster uses kerberos and we use it to keep results of
>> our spark application, we manage this cluster
>>
>> Our requrements and conditions that are not mentioned yet:
>> 1. All clusters are in a single data center, but in the different
>> subnetworks.
>> 2. We cannot turn on kerberos on `cluster A`
>> 3. We cannot turn off kerberos on `cluster C`
>> 4. We can turn on/off kerberos on `cluster B`, currently it's turned off.
>> 5. Spark app is built on top of RDD and does not depend on spark-sql.
>>
>> Does anybody know how to write data using RDD api to remote cluster which
>> is
>> running with Kerberos?
>>
>> --
>> //with Best Regards
>> --Denis Bolshakov
>> e-mail: bolshakov.de...@gmail.com
>>
>>
>>
>> --
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>>
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>
>
> --
> Best Regards,
> Ayan Guha
>



-- 
Best Regards,
Ayan Guha

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