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Re: How Yarn execute MRv1 job?
I'd use hive-0.11.

On Jun 19, 2013, at 11:56 PM, sam liu <[EMAIL PROTECTED]> wrote:

> Hi Azurry,
>
> So, older versions of HBase and Hive, like HBase 0.94.0 and Hive 0.9.0, does not support hadoop 2.x, right?
>
> Thanks!
>
>
> 2013/6/20 Azuryy Yu <[EMAIL PROTECTED]>
> Hi Sam,
> please look at :http://hbase.apache.org/book.html#d2617e499
>
> generally, we said YARN is Hadoop-2.x, you can download hadoop-2.0.4-alpha. and Hive-0.10 supports hadoop-2.x very well.
>
>
>
> On Thu, Jun 20, 2013 at 2:11 PM, sam liu <[EMAIL PROTECTED]> wrote:
> Thanks Arun!
>
> #1, Yes, I did tests and found that the MRv1 jobs could run against YARN directly, without recompiling
>
> #2, do you mean the old versions of HBase/Hive can not run agains YARN, and only some special versions of them can run against YARN? If yes, how can I get the versions for YARN?
>
>
> 2013/6/20 Arun C Murthy <[EMAIL PROTECTED]>
>
> On Jun 19, 2013, at 6:45 PM, sam liu <[EMAIL PROTECTED]> wrote:
>
>> Appreciating for the detailed answers! Here are three further questions:
>>
>> - Yarn maintains backwards compatibility, and MRv1 job could run on Yarn. If yarn does not ask existing MRv1 job to do any code change, but why we should recompile the MRv1 job?
>
> You don't need to recompile MRv1 jobs to run against YARN.
>
>> - Which yarn jar files are required in the recompiling?
>> - In a cluster with Hadoop 1.1.1 and other Hadoop related components(HBase 0.94.3,  Hive 0.9.0, Zookeeper 3.4.5,...), if we want to replace Hadoop 1.1.1 with yarn, do we need to recompile all other Hadoop related components again with yarn jar files? Without any code change?
>
> You will need versions of HBase, Hive etc. which are integrated with hadoop-2.x, but not need to change any of your end-user applications (MR jobs, hive queries, pig scripts etc.)
>
> Arun
>
>>
>> Thanks in advance!
>>
>>
>>
>> 2013/6/19 Rahul Bhattacharjee <[EMAIL PROTECTED]>
>> Thanks Arun and Devraj , good to know.
>>
>>
>>
>> On Wed, Jun 19, 2013 at 11:24 AM, Arun C Murthy <[EMAIL PROTECTED]> wrote:
>> Not true, the CapacityScheduler has support for both CPU & Memory now.
>>
>> On Jun 18, 2013, at 10:41 PM, Rahul Bhattacharjee <[EMAIL PROTECTED]> wrote:
>>
>>> Hi Devaraj,
>>>
>>> As for the container request request for yarn container , currently only memory is considered as resource , not cpu. Please correct.
>>>
>>> Thanks,
>>> Rahul
>>>
>>>
>>> On Wed, Jun 19, 2013 at 11:05 AM, Devaraj k <[EMAIL PROTECTED]> wrote:
>>> Hi Sam,
>>>
>>>   Please find the answers for your queries.
>>>
>>>
>>> >- Yarn could run multiple kinds of jobs(MR, MPI, ...), but, MRv1 job has special execution process(map > shuffle > reduce) in Hadoop 1.x, and how Yarn execute a MRv1 job? still include some special MR steps in Hadoop 1.x, like map, sort, merge, combine and shuffle?
>>>
>>>  
>>>
>>> In Yarn, it is a concept of application. MR Job is one kind of application which makes use of MRAppMaster(i.e ApplicationMaster for the application). If we want to run different kinds of applications we should have ApplicationMaster for each kind of application.
>>>
>>>  
>>>
>>> >- Do the MRv1 parameters still work for Yarn? Like mapreduce.task.io.sort.mb and mapreduce.map.sort.spill.percent?
>>>
>>> These configurations still work for MR Job in Yarn.
>>>
>>>
>>> >- What's the general process for ApplicationMaster of Yarn to execute a job?
>>>
>>> MRAppMaster(Application Master for MR Job) does the Job life cycle which includes getting the containers for maps & reducers, launch the containers using NM, tacks the tasks status till completion, manage the failed tasks.
>>>
>>>
>>> >2. In Hadoop 1.x, we can set the map/reduce slots by setting 'mapred.tasktracker.map.tasks.maximum' and 'mapred.tasktracker.reduce.tasks.maximum'
>>> >- For Yarn, above tow parameter do not work any more, as yarn uses container instead, right?
>>>
>>> Correct, these params don’t work in yarn. In Yarn it is completely based on the resources(memory, cpu). Application Master can request the RM for resources to complete the tasks for that application.

Arun C. Murthy
Hortonworks Inc.
http://hortonworks.com/