talking about spark in hdp

Is there reference about Spark-R, and what version should we install in R?
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Frans Thamura (曽志胜)
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On Thu, Oct 22, 2015 at 8:56 AM, Saisai Shao <sai.sai.s...@gmail.com> wrote:
> How you start history server, do you still use the history server of 1.3.1,
> or you started the history server in 1.5.1?
>
> The Spark tarball you used is the community version, so Application
> TimelineServer based history provider is not supported, you could comment
> this configuration "spark.history.provider", so it will use default
> FsHistoryProvider, or you could configure "spark.history.provider" to
> "org.apache.spark.deploy.history.FsHistoryProvider".
>
> If you still want to use this ATS based history server, you have to wait for
> the technical preview release of Hortonworks.
>
> Thanks
> Saisai
>
>
> On Thu, Oct 22, 2015 at 9:47 AM, Ajay Chander <itsche...@gmail.com> wrote:
>>
>> Hi Sasai,
>>
>> Thanks for your time. I have followed your inputs and downloaded
>> "spark-1.5.1-bin-hadoop2.6" on one of the node say node1. And when I did a
>> pie test everything seems to be working fine, except that the spark-history
>> -server running on this node1 has gone down. It was complaining about
>> missing class:
>>
>> 15/10/21 16:41:28 INFO HistoryServer: Registered signal handlers for
>> [TERM, HUP, INT]
>> 15/10/21 16:41:28 WARN SparkConf: The configuration key
>> 'spark.yarn.applicationMaster.waitTries' has been deprecated as of Spark 1.3
>> and and may be removed in the future. Please use the new key
>> 'spark.yarn.am.waitTime' instead.
>> 15/10/21 16:41:29 WARN NativeCodeLoader: Unable to load native-hadoop
>> library for your platform... using builtin-java classes where applicable
>> 15/10/21 16:41:29 INFO SecurityManager: Changing view acls to: root
>> 15/10/21 16:41:29 INFO SecurityManager: Changing modify acls to: root
>> 15/10/21 16:41:29 INFO SecurityManager: SecurityManager: authentication
>> disabled; ui acls disabled; users with view permissions: Set(root); users
>> with modify permissions: Set(root)
>> Exception in thread "main" java.lang.ClassNotFoundException:
>> org.apache.spark.deploy.yarn.history.YarnHistoryProvider
>>         at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
>>         at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
>>         at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:331)
>>         at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
>>         at java.lang.Class.forName0(Native Method)
>>         at java.lang.Class.forName(Class.java:348)
>>         at org.apache.spark.util.Utils$.classForName(Utils.scala:173)
>>         at
>> org.apache.spark.deploy.history.HistoryServer$.main(HistoryServer.scala:231)
>>         at
>> org.apache.spark.deploy.history.HistoryServer.main(HistoryServer.scala)
>>
>>
>> I went to the lib folder and noticed that
>> "spark-assembly-1.5.1-hadoop2.6.0.jar" is missing that class. I was able to
>> get the spark history server started with 1.3.1 but not 1.5.1. Any inputs on
>> this?
>>
>> Really appreciate your help. Thanks
>>
>> Regards,
>> Ajay
>>
>>
>>
>> On Wednesday, October 21, 2015, Saisai Shao <sai.sai.s...@gmail.com>
>> wrote:
>>>
>>> Hi Ajay,
>>>
>>> You don't need to copy tarball to all the nodes, only one node you want
>>> to run spark application is enough (mostly the master node), Yarn will help
>>> to distribute the Spark dependencies. The link I mentioned before is the one
>>> you could follow, please read my previous mail.
>>>
>>> Thanks
>>> Saisai
>>>
>>>
>>>
>>> On Thu, Oct 22, 2015 at 1:56 AM, Ajay Chander <itsche...@gmail.com>
>>> wrote:
>>>>
>>>> Thanks for your kind inputs. Right now I am running spark-1.3.1 on
>>>> YARN(4 node cluster) on a HortonWorks distribution. Now I want to upgrade
>>>> spark-1.3.1 to spark-1.5.1. So at this point of time, do I have to manually
>>>> go and copy spark-1.5.1 tarbal to all the nodes or is there any alternative
>>>> so that I can get it upgraded through Ambari UI ? If possible can anyone
>>>> point me to a documentation online? Thank you.
>>>>
>>>> Regards,
>>>> Ajay
>>>>
>>>>
>>>> On Wednesday, October 21, 2015, Saisai Shao <sai.sai.s...@gmail.com>
>>>> wrote:
>>>>>
>>>>> Hi Frans,
>>>>>
>>>>> You could download Spark 1.5.1-hadoop 2.6 pre-built tarball and copy
>>>>> into HDP 2.3 sandbox or master node. Then copy all the conf files from
>>>>> /usr/hdp/current/spark-client/ to your <spark-1.5.1>/conf, or you could
>>>>> refer to this tech preview (
>>>>> http://hortonworks.com/hadoop-tutorial/apache-spark-1-4-1-technical-preview-with-hdp/
>>>>> ), in "installing chapter", step 4 ~ 8 is what you need to do.
>>>>>
>>>>> Thanks
>>>>> Saisai
>>>>>
>>>>> On Wed, Oct 21, 2015 at 1:27 PM, Frans Thamura <fr...@meruvian.org>
>>>>> wrote:
>>>>>>
>>>>>> Doug
>>>>>>
>>>>>> is it possible to put in HDP 2.3?
>>>>>>
>>>>>> esp in Sandbox
>>>>>>
>>>>>> can share how do you install it?
>>>>>>
>>>>>>
>>>>>> F
>>>>>> --
>>>>>> Frans Thamura (曽志胜)
>>>>>> Java Champion
>>>>>> Shadow Master and Lead Investor
>>>>>> Meruvian.
>>>>>> Integrated Hypermedia Java Solution Provider.
>>>>>>
>>>>>> Mobile: +628557888699
>>>>>> Blog: http://blogs.mervpolis.com/roller/flatburger (id)
>>>>>>
>>>>>> FB: http://www.facebook.com/meruvian
>>>>>> TW: http://www.twitter.com/meruvian / @meruvian
>>>>>> Website: http://www.meruvian.org
>>>>>>
>>>>>> "We grow because we share the same belief."
>>>>>>
>>>>>>
>>>>>> On Wed, Oct 21, 2015 at 12:24 PM, Doug Balog
>>>>>> <doug.sparku...@dugos.com> wrote:
>>>>>> > I have been running 1.5.1 with Hive in secure mode on HDP 2.2.4
>>>>>> > without any problems.
>>>>>> >
>>>>>> > Doug
>>>>>> >
>>>>>> >> On Oct 21, 2015, at 12:05 AM, Ajay Chander <itsche...@gmail.com>
>>>>>> >> wrote:
>>>>>> >>
>>>>>> >> Hi Everyone,
>>>>>> >>
>>>>>> >> Any one has any idea if spark-1.5.1 is available as a service on
>>>>>> >> HortonWorks ? I have spark-1.3.1 installed on the Cluster and it is a
>>>>>> >> HortonWorks distribution. Now I want upgrade it to spark-1.5.1. 
>>>>>> >> Anyone here
>>>>>> >> have any idea about it? Thank you in advance.
>>>>>> >>
>>>>>> >> Regards,
>>>>>> >> Ajay
>>>>>> >
>>>>>> >
>>>>>> >
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>>>>>> >
>>>>>>
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>>>>>>
>>>>>
>>>
>

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