The YARN backend distributes all files and jars you submit with your
application.

On Mon, Jul 17, 2017 at 10:45 AM, Mich Talebzadeh
<mich.talebza...@gmail.com> wrote:
> thanks guys.
>
> just to clarify let us assume i am doing spark-submit as below:
>
> ${SPARK_HOME}/bin/spark-submit \
>                 --packages ${PACKAGES} \
>                 --driver-memory 2G \
>                 --num-executors 2 \
>                 --executor-memory 2G \
>                 --executor-cores 2 \
>                 --master yarn \
>                 --deploy-mode client \
>                 --conf "${SCHEDULER}" \
>                 --conf "${EXTRAJAVAOPTIONS}" \
>                 --jars ${JARS} \
>                 --class "${FILE_NAME}" \
>                 --conf "${SPARKUIPORT}" \
>                 --conf "${SPARKDRIVERPORT}" \
>                 --conf "${SPARKFILESERVERPORT}" \
>                 --conf "${SPARKBLOCKMANAGERPORT}" \
>                 --conf "${SPARKKRYOSERIALIZERBUFFERMAX}" \
>                 ${JAR_FILE}
>
> The ${JAR_FILE} is the one. As I understand Spark should distribute that
> ${JAR_FILE} to each container?
>
> Also --jars ${JARS} are the list of normal jar files that need to exist in
> the same directory on each executor node?
>
> cheers,
>
>
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn
> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>
>
>
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>
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> On 17 July 2017 at 18:18, ayan guha <guha.a...@gmail.com> wrote:
>>
>> Hi Mitch
>>
>> your jar file can be anywhere in the file system, including hdfs.
>>
>> If using yarn, preferably use cluster mode in terms of deployment.
>>
>> Yarn will distribute the jar to each container.
>>
>> Best
>> Ayan
>>
>> On Tue, 18 Jul 2017 at 2:17 am, Marcelo Vanzin <van...@cloudera.com>
>> wrote:
>>>
>>> Spark distributes your application jar for you.
>>>
>>> On Mon, Jul 17, 2017 at 8:41 AM, Mich Talebzadeh
>>> <mich.talebza...@gmail.com> wrote:
>>> > hi guys,
>>> >
>>> >
>>> > an uber/fat jar file has been created to run with spark in CDH yarc
>>> > client
>>> > mode.
>>> >
>>> > As usual job is submitted to the edge node.
>>> >
>>> > does the jar file has to be placed in the same directory ewith spark is
>>> > running in the cluster to make it work?
>>> >
>>> > Also what will happen if say out of 9 nodes running spark, 3 have not
>>> > got
>>> > the jar file. will that job fail or it will carry on on the fremaing 6
>>> > nodes
>>> > that have that jar file?
>>> >
>>> > thanks
>>> >
>>> > Dr Mich Talebzadeh
>>> >
>>> >
>>> >
>>> > LinkedIn
>>> >
>>> > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>> >
>>> >
>>> >
>>> > http://talebzadehmich.wordpress.com
>>> >
>>> >
>>> > Disclaimer: Use it at your own risk. Any and all responsibility for any
>>> > loss, damage or destruction of data or any other property which may
>>> > arise
>>> > from relying on this email's technical content is explicitly
>>> > disclaimed. The
>>> > author will in no case be liable for any monetary damages arising from
>>> > such
>>> > loss, damage or destruction.
>>> >
>>> >
>>>
>>>
>>>
>>> --
>>> Marcelo
>>>
>>> ---------------------------------------------------------------------
>>> To unsubscribe e-mail: user-unsubscr...@spark.apache.org
>>>
>> --
>> Best Regards,
>> Ayan Guha
>
>



-- 
Marcelo

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