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From kant kodali <kanth...@gmail.com>
Subject Re: How to run spark shell using YARN
Date Wed, 14 Mar 2018 09:32:06 GMT
Tried this

 ./spark-shell --master yarn --deploy-mode client --executor-memory 4g


Same issue. Keeps going forever..


18/03/14 09:31:25 INFO Client:

client token: N/A

diagnostics: N/A

ApplicationMaster host: N/A

ApplicationMaster RPC port: -1

queue: default

start time: 1521019884656

final status: UNDEFINED

tracking URL:
http://ip-172-31-0-54:8088/proxy/application_1521014458020_0004/

user: centos


18/03/14 09:30:08 INFO Client: Application report for
application_1521014458020_0003 (state: ACCEPTED)

18/03/14 09:30:09 INFO Client: Application report for
application_1521014458020_0003 (state: ACCEPTED)

18/03/14 09:30:10 INFO Client: Application report for
application_1521014458020_0003 (state: ACCEPTED)

18/03/14 09:30:11 INFO Client: Application report for
application_1521014458020_0003 (state: ACCEPTED)

18/03/14 09:30:12 INFO Client: Application report for
application_1521014458020_0003 (state: ACCEPTED)

18/03/14 09:30:13 INFO Client: Application report for
application_1521014458020_0003 (state: ACCEPTED)

18/03/14 09:30:14 INFO Client: Application report for
application_1521014458020_0003 (state: ACCEPTED)

18/03/14 09:30:15 INFO Client: Application report for
application_1521014458020_0003 (state: ACCEPTED)

On Wed, Mar 14, 2018 at 2:03 AM, Femi Anthony <femibyte@gmail.com> wrote:

> Make sure you have enough memory allocated for Spark workers, try
> specifying executor memory as follows:
>
> --executor-memory <memory>
>
> to spark-submit.
>
> On Wed, Mar 14, 2018 at 3:25 AM, kant kodali <kanth909@gmail.com> wrote:
>
>> I am using spark 2.3.0 and hadoop 2.7.3.
>>
>> Also I have done the following and restarted all. But I still
>> see ACCEPTED: waiting for AM container to be allocated, launched and
>> register with RM. And i am unable to spawn spark-shell.
>>
>> editing $HADOOP_HOME/etc/hadoop/capacity-scheduler.xml and change the
>> following property value from 0.1 to something higher. I changed to 0.5
>> (50%)
>>
>> <property>
>>     <name>yarn.scheduler.capacity.maximum-am-resource-percent</name>
>>     <value>0.5</value>
>>     <description>
>>         Maximum percent of resources in the cluster which can be used to run application
masters i.e. controls number of concurrent running applications.
>>     </description>
>> </property>
>>
>> You may have to allocate more memory to YARN by editing yarn-site.xml by
>> updating the following property:
>>
>> <property>
>>     <name>yarn.nodemanager.resource.memory-mb</name>
>>     <value>8192</value>
>> </property>
>>
>> https://stackoverflow.com/questions/45687607/waiting-for-am-
>> container-to-be-allocated-launched-and-register-with-rm
>>
>>
>>
>> On Wed, Mar 14, 2018 at 12:12 AM, kant kodali <kanth909@gmail.com> wrote:
>>
>>> any idea?
>>>
>>> On Wed, Mar 14, 2018 at 12:12 AM, kant kodali <kanth909@gmail.com>
>>> wrote:
>>>
>>>> I set core-site.xml, hdfs-site.xml, yarn-site.xml  as per this website
>>>> <https://dwbi.org/etl/bigdata/183-setup-hadoop-cluster> and these are
>>>> the only three files I changed Do I need to set or change anything in
>>>> mapred-site.xml (As of now I have not touched mapred-site.xml)?
>>>>
>>>> when I do yarn -node -list -all I can see both node manager and
>>>> resource managers are running fine.
>>>>
>>>> But when I run spark-shell --master yarn --deploy-mode client
>>>>
>>>>
>>>> it just keeps looping forever and never stops with the following
>>>> messages
>>>>
>>>> 18/03/14 07:07:47 INFO Client: Application report for
>>>> application_1521011212550_0001 (state: ACCEPTED)
>>>> 18/03/14 07:07:48 INFO Client: Application report for
>>>> application_1521011212550_0001 (state: ACCEPTED)
>>>> 18/03/14 07:07:49 INFO Client: Application report for
>>>> application_1521011212550_0001 (state: ACCEPTED)
>>>> 18/03/14 07:07:50 INFO Client: Application report for
>>>> application_1521011212550_0001 (state: ACCEPTED)
>>>> 18/03/14 07:07:51 INFO Client: Application report for
>>>> application_1521011212550_0001 (state: ACCEPTED)
>>>> 18/03/14 07:07:52 INFO Client: Application report for
>>>> application_1521011212550_0001 (state: ACCEPTED)
>>>>
>>>> when I go to RM UI I see this
>>>>
>>>> ACCEPTED: waiting for AM container to be allocated, launched and
>>>> register with RM.
>>>>
>>>>
>>>>
>>>>
>>>> On Mon, Mar 12, 2018 at 7:16 PM, vermanurag <
>>>> anurag.verma@fnmathlogic.com> wrote:
>>>>
>>>>> This does not look like Spark error. Looks like yarn has not been able
>>>>> to
>>>>> allocate resources for spark driver. If you check resource manager UI
>>>>> you
>>>>> are likely to see this as spark application waiting for resources. Try
>>>>> reducing the driver node memory and/ or other bottlenecks based on
>>>>> what you
>>>>> see in the resource manager UI.
>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/
>>>>>
>>>>> ---------------------------------------------------------------------
>>>>> To unsubscribe e-mail: user-unsubscribe@spark.apache.org
>>>>>
>>>>>
>>>>
>>>
>>
>
>
> --
> http://www.femibyte.com/twiki5/bin/view/Tech/
> http://www.nextmatrix.com
> "Great spirits have always encountered violent opposition from mediocre
> minds." - Albert Einstein.
>

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