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From Alvaro Brandon <alvarobran...@gmail.com>
Subject Re: Dynamic allocation Spark
Date Fri, 26 Feb 2016 13:36:26 GMT
That was exactly it. I had the worker and master processes of Spark
standalone running together with YARN and somehow the resource manager
didn't see the nodes. It's working now.

Thanks for the tip :-)


2016-02-26 12:33 GMT+01:00 Jeff Zhang <zjffdu@gmail.com>:

> Check the RM UI to ensure you have available resources. I suspect it might
> be that you didn't configure yarn correctly, so NM didn't start properly
> and you have no resource.
>
> On Fri, Feb 26, 2016 at 7:14 PM, alvarobrandon <alvarobrandon@gmail.com>
> wrote:
>
>> Hello everyone:
>>
>> I'm trying the dynamic allocation in Spark with YARN. I have followed the
>> following configuration steps:
>> 1. Copy the spark-*-yarn-shuffle.jar to the nodemanager classpath. "cp
>> /opt/spark/lib/spark-*-yarn-shuffle.jar /opt/hadoop/share/hadoop/yarn"
>> 2. Added the shuffle service of spark in yarn-site.xml
>> <property>
>>     <name>yarn.nodemanager.aux-services</name>
>>     <value>mapreduce_shuffle,spark_shuffle</value>
>>     <description>shuffle implementation</description>
>>   </property>
>> 3. Enabled the class for the shuffle service in yarn-site.xml
>>   <property>
>>     <name>yarn.nodemanager.aux-services.spark_shuffle.class</name>
>>     <value>org.apache.spark.network.yarn.YarnShuffleService</value>
>>     <description>enable the class for dynamic allocation</description>
>>   </property>
>> 4. Activated the dynamic allocation in the spark defaults
>> spark.dynamicAllocation.enabled         true
>> spark.shuffle.service.enabled   true
>>
>> When I launch my application it just stays in the queue accepted but it
>> never actually runs.
>> 16/02/26 11:11:46 INFO yarn.Client: Application report for
>> application_1456482268159_0001 (state: ACCEPTED)
>>
>> Am I missing something?
>>
>> Thanks in advance as always
>>
>>
>>
>> --
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>>
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>
>
> --
> Best Regards
>
> Jeff Zhang
>

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