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te().save("hdfs://localhost:9000/user/hadoop/inpit/data/history.csv");
This code is successfully store csv file. but i don't know how to retrieve
csv file from hdfs. Please help me.
Thanks & Regards,
Ashish Mittal
Sorry, for not making it explicit. We are using Spark Streaming as the
streaming solution and I was wondering if it is a common pattern to do per
tuple redis read/write and write to a REST API through Spark Streaming.
Regards,
Ashish
On Fri, Dec 22, 2017 at 4:00 AM, Gourav Sengupta
wrote:
>
into
redis. Also, we need to write the final out to a system through REST API
(the system doesn't provide any other mechanism to write).
Is it a common pattern to read/write to db per tuple? Also, are there any
connectors to write to REST endpoints.
Regards,
Ashish
r Hakobian, Ph.D.
Staff Data Scientist
Rally Health
nicholas.hakob...@rallyhealth.com
On Sun, Nov 26, 2017 at 8:19 AM, ashish rawat wrote:
> Thanks Holden and Chetan.
>
> Holden - Have you tried it out, do you know the right way to do it?
> Chetan - yes, if we use a Java NLP library, i
e:
>
>> So it’s certainly doable (it’s not super easy mind you), but until the
>> arrow udf release goes out it will be rather slow.
>>
>> On Sun, Nov 26, 2017 at 8:01 AM ashish rawat wrote:
>>
>>> Hi,
>>>
>>> Has someone tried running N
nd data
science flexibility.
Regards,
Ashish
Thanks everyone for their suggestions. Does any of you take care of auto
scale up and down of your underlying spark clusters on AWS?
On Nov 14, 2017 10:46 AM, "lucas.g...@gmail.com"
wrote:
Hi Ashish, bear in mind that EMR has some additional tooling available that
smoothes out some S
d, or Livy?
We run genie as a job server for the prod cluster, so users have to submit
their queries through the genie. For better resource utilization, we rely
on Yarn dynamic allocation to balance the load of multiple jobs/queries in
Spark.
Hope this helps.
On Sat, Nov 11, 2017 at 11:21 PM as
one user fires
a big query, then would that choke all other queries in the cluster?
Regards,
Ashish
On Mon, Nov 13, 2017 at 3:10 AM, Patrick Alwell
wrote:
> Alcon,
>
>
>
> You can most certainly do this. I’ve done benchmarking with Spark SQL and
> the TPCDS queries using S3
, I might be wrong but not all functionality of
spark is spill to disk. So it still doesn't provide DB like reliability in
execution. In case of DBs, queries get slow but they don't fail or go out
of memory, specifically in concurrent user scenarios.
Regards,
Ashish
On Nov 12, 20
? Considering Spark still does not provide spill to disk, in
many scenarios, are there frequent query failures when executing concurrent
queries
4. Are there any open source implementations, which provide something
similar?
Regards,
Ashish
Hi ,
You can try https://github.com/hdinsight/spark-eventhubs : which is
eventhub receiver for spark streaming
We are using it but you have scala version only i guess
Thanks,
Ashish Singh
On Fri, Apr 21, 2017 at 9:19 AM, ayan guha wrote:
> [image: Boxbe] <https://www.boxbe.com/overview
the docs and missed it.
Thanks,
Ashish
created a
JIRA too .. SPARK-17709 <https://issues.apache.org/jira/browse/SPARK-17709>
Any help appreciated!
Thanks,
Ashish
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Hi All,
I am running a spark program on secured cluster which creates SqlContext for
creating dataframe over phoenix table.
When I run my program in local mode with --master option set to local[2] my
program works completely fine, however when I try to run same program with
master option set t
F to driver will cause all data get passed to the driver
code or it would be return just pointer to the DF?
Thanks,
Ashish
We are trying to collect Spark logs using logstash for parsing app logs
and collecting useful info.
We can read the Nodemanager logs but unable to read Spark application logs
using Logstash .
Current Setup for Spark logs and Logstash
1- Spark runs on Yarn .
2- Using log4j socketAppenders to wr
-${user.dir}
4-Logstash input
input {
log4j {
mode => "server"
host => "0.0.0.0"
port => 4560
type => "log4j"
}
}
Any help on reading Spark logs via Logstash will be appreciated .
Also, is there a better way to collect Spark logs via Logstash ?
Thanks,
Ashish
Is there any reason you dont want to convert this - i dont think join b/w
RDD and DF is supported.
On Sat, May 7, 2016 at 11:41 PM, Cyril Scetbon
wrote:
> Hi,
>
> I have a RDD built during a spark streaming job and I'd like to join it to
> a DataFrame (E/S input) to enrich it.
> It seems that I
l.parquet.filterPushdown: true
> spark.sql.parquet.mergeSchema: true
>
> Thanks,
> J.
>
> On Sat, May 7, 2016 at 4:20 PM, Ashish Dubey wrote:
>
>> How big is your file and can you also share the code snippet
>>
>>
>> On Saturday, May 7, 2016, Johnny W. wro
gt; On May 8, 2016 5:55 PM, "Ashish Dubey" wrote:
>
> Brandon,
>
> how much memory are you giving to your executors - did you check if there
> were dead executors in your application logs.. Most likely you require
> higher memory for executors..
>
> Ashish
>
>
Brandon,
how much memory are you giving to your executors - did you check if there
were dead executors in your application logs.. Most likely you require
higher memory for executors..
Ashish
On Sun, May 8, 2016 at 1:01 PM, Brandon White
wrote:
> Hello all,
>
> I am running a Spark ap
This limit is due to underlying inputFormat implementation. you can always
write your own inputFormat and then use spark newAPIHadoopFile api to pass
your inputFormat class path. You will have to place the jar file in /lib
location on all the nodes..
Ashish
On Sun, May 8, 2016 at 4:02 PM
your driver heap size and application structure ( num of stages
and tasks )
Ashish
On Saturday, May 7, 2016, Nirav Patel wrote:
> Right but this logs from spark driver and spark driver seems to use Akka.
>
> ERROR [sparkDriver-akka.actor.default-dispatcher-17]
> akka.actor.Act
How big is your file and can you also share the code snippet
On Saturday, May 7, 2016, Johnny W. wrote:
> hi spark-user,
>
> I am using Spark 1.6.0. When I call sqlCtx.read.parquet to create a
> dataframe from a parquet data source with a single parquet file, it yields
> a stage with lots of sma
ache/Nginx/Mongo etc) to Kafka, what could be the ideal strategy?
Regards,
Ashish
On Thu, Mar 31, 2016 at 5:16 PM, Chris Fregly wrote:
> oh, and I forgot to mention Kafka Streams which has been heavily talked
> about the last few days at Strata here in San Jose.
>
> Streams can
Kafka for the complex use
cases, while logstash filters can be used for the simpler use cases.
I was wondering if someone has already done this evaluation and could
provide me some pointers on how/if to create this pipeline with Spark.
Regards,
Ashish
When you say driver running on mesos can you explain how are you doing that...??
> On Mar 10, 2016, at 4:44 PM, Eran Chinthaka Withana
> wrote:
>
> Yanling I'm already running the driver on mesos (through docker). FYI, I'm
> running this on cluster mode with MesosClusterDispatcher.
>
> Mac (c
Hi Tim ,
Can you please share your dockerfiles and configuration as it will help a
lot , I am planing to publish a blog post on the same .
Ashish
On Thu, Mar 10, 2016 at 10:34 AM, Timothy Chen wrote:
> No you don't need to install spark on each slave, we have been running
> th
You need to install spark on each mesos slave and then while starting container
make a workdir to your spark home so that it can find the spark class.
Ashish
> On Mar 10, 2016, at 5:22 AM, Guillaume Eynard Bontemps
> wrote:
>
> For an answer to my question see t
Hi All,
I am developing a detailed highly technical course on spark ( beyond word count
) and looking for a partner , let me know if anyone is interested.
Ashish
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To unsubscribe, e-mail: user-unsubscr...@spark.apache.org
For
gt; chroot.
>
> Can you try mounting in a volume from the host when you launch the slave
> for your slave's workdir?
> docker run -v /tmp/mesos/slave:/tmp/mesos/slave mesos_image mesos-slave
> --work_dir=/tmp/mesos/slave ....
>
> Tim
>
> On Thu, Mar 3, 2016 at 4:
hed by the cluster
> dispatcher, that shows you the spark-submit command it eventually ran?
>
>
> Tim
>
>
>
> On Wed, Mar 2, 2016 at 5:42 PM, Ashish Soni wrote:
>
>> See below and Attached the Dockerfile to build the spark image (
>> between i just upgraded
On Wed, Mar 2, 2016 at 5:49 PM, Charles Allen wrote:
> @Tim yes, this is asking about 1.5 though
>
> On Wed, Mar 2, 2016 at 2:35 PM Tim Chen wrote:
>
>> Hi Charles,
>>
>> I thought that's fixed with your patch in latest master now right?
>>
>> A
I have no luck and i would to ask the question to spark committers will
this be ever designed to run on mesos ?
spark app as a docker container not working at all on mesos ,if any one
would like the code i can send it over to have a look.
Ashish
On Wed, Mar 2, 2016 at 12:23 PM, Sathish Kumaran
what the problem is?
>
> Tim
>
> On Mar 1, 2016, at 8:05 AM, Ashish Soni wrote:
>
> Not sure what is the issue but i am getting below error when i try to run
> spark PI example
>
> Blacklisting Mesos slave value: "5345asdasdasdkas234234asdasdasdasd&
Hi All ,
Can some one please help me how do i translate below spark submit to
marathon JSON request
docker run -it --rm -e SPARK_MASTER="mesos://10.0.2.15:5050" -e
SPARK_IMAGE="spark_driver:latest" spark_driver:latest
/opt/spark/bin/spark-submit --name "PI Example" --class
org.apache.spark.exam
Check your Mesos UI if you see Spark application in the
> Frameworks tab
>
> On Mon, Feb 29, 2016 at 12:23 PM Ashish Soni
> wrote:
>
>> What is the Best practice , I have everything running as docker container
>> in single host ( mesos and marathon also as docker containe
)
> and Mesos will automatically launch docker containers for you.
>
> Tim
>
> On Mon, Feb 29, 2016 at 7:36 AM, Ashish Soni
> wrote:
>
>> Yes i read that and not much details here.
>>
>> Is it true that we need to have spark installed on each mesos docker
>>
Yes i read that and not much details here.
Is it true that we need to have spark installed on each mesos docker
container ( master and slave ) ...
Ashish
On Fri, Feb 26, 2016 at 2:14 PM, Tim Chen wrote:
> https://spark.apache.org/docs/latest/running-on-mesos.html should be the
> best
Hi All ,
Is there any proper documentation as how to run spark on mesos , I am
trying from the last few days and not able to make it work.
Please help
Ashish
maintained in the second job so that it can take use of new metadata
Please help
Ashish
Hi All ,
Just wanted to know if there is any work around or resolution for below
issue in Stand alone mode
https://issues.apache.org/jira/browse/SPARK-9559
Ashish
Hi All ,
As per my best understanding we can have only one log4j for both spark and
application as which ever comes first in the classpath takes precedence ,
Is there any way we can keep one in application and one in the spark conf
folder .. is it possible ?
Thanks
; spark-submit --conf "spark.executor.memory=512m" --conf
> "spark.executor.extraJavaOptions=x" --conf "Dlog4j.configuration=log4j.xml"
>
> Sent from Samsung Mobile.
>
>
> Original message ----
> From: Ted Yu
> Date:12/02/2016
Hi All ,
How do i pass multiple configuration parameter while spark submit
Please help i am trying as below
spark-submit --conf "spark.executor.memory=512m
spark.executor.extraJavaOptions=-Dlog4j.configuration=log4j.xml"
Thanks,
Are there any examples as how to implement onEnvironmentUpdate method for
customer listener
Thanks,
Hi All ,
How do change the log level for the running spark streaming Job , Any help
will be appriciated.
Thanks,
Hi All ,
Please let me know how we can redirect spark logging files or tell spark to
log to kafka queue instead of files ..
Ashish
, what is the correct approach.
Ashish
On Mon, Jan 25, 2016 at 11:38 AM, Gerard Maas wrote:
> What are you trying to achieve?
>
> Looks like you want to provide offsets but you're not managing them
> and I'm assuming you're using the direct stream approach.
>
&
TopicAndPartition(driverArgs.inputTopic, 0), 0L);
Thanks,
Ashish
Hi ,
I have a strange behavior when i creating standalone spark container using
docker
Not sure why by default it is assigning 4 cores to the first Job it submit
and then all the other jobs are in wait state , Please suggest if there is
an setting to change this
i tried --executor-cores 1 but it
any performance related parameters in Spark, Cassandra,
Solr which will reduce the job time
Any help to increase the performance will be appreciated.
Thanks
--
Ashish Gadkari
:50571
INFO util.Utils: Successfully started service 'SparkUI' on port 50571.
INFO ui.SparkUI: Started SparkUI at http://xxx:50571
Is there any way to know about the UI port automatically using some API?
Thanks
Ashish
Hi Todd,
Could you please provide an example of doing this. Mazerunner seems to be doing
something similar with Neo4j but it goes via hdfs and updates only the graph
properties. Is there a direct way to do this with Neo4j or Titan?
Regards,
Ashish
From: SLiZn Liu mailto:sliznmail...@gmail.com
Thanks Steve. I built it from source.
On Thu, Oct 22, 2015 at 4:01 PM Steve Loughran
wrote:
>
> > On 22 Oct 2015, at 15:12, Ashish Shrowty
> wrote:
> >
> > I understand that there is some incompatibility with the API between
> Hadoop
> > 2.6/2.7 and Am
://issues.apache.org/jira/browse/HADOOP-12420)
My question is - what are people doing today to access S3? I am unable to
find an older JAR of the AWS SDK to test with.
Thanks,
Ashish
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View this message in context:
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Need more details but you might want to filter the data first ( create multiple
RDD) and then process.
> On Oct 5, 2015, at 8:35 PM, Chen Song wrote:
>
> We have a use case with the following design in Spark Streaming.
>
> Within each batch,
> * data is read and partitioned by some key
> * fo
try this
You can use dstream.map to conver it to JavaDstream with only the data you
are interested probably return an Pojo of your JSON
and then call foreachRDD and inside that call below line
javaFunctions(rdd).writerBuilder("table", "keyspace",
mapToRow(Class.class)).saveToCassandra();
On Mo
Are you running the job in yarn cluster mode?
On Oct 1, 2015 6:30 AM, "Jeetendra Gangele" wrote:
> We've a streaming application running on yarn and we would like to ensure
> that is up running 24/7.
>
> Is there a way to tell yarn to automatically restart a specific
> application on failure?
>
>
I am using Java Streaming context and it doesnt have method setLogLevel and
also i have tried by passing VM argument in eclipse and it doesnt work
JavaStreamingContext jssc = new JavaStreamingContext(sparkConf,
Durations.seconds(2));
Ashish
On Tue, Sep 29, 2015 at 7:23 AM, Adrian Tanase wrote
I am not running it using spark submit , i am running locally inside
Eclipse IDE , how i set this using JAVA Code
Ashish
On Mon, Sep 28, 2015 at 10:42 AM, Adrian Tanase wrote:
> You also need to provide it as parameter to spark submit
>
> http://stackoverflow.com/questions/288404
DEBUG or
WARN
Ashish
Hi All ,
Just wanted to find out if there is an benefits to installing kafka
brokers and spark nodes on the same machine ?
is it possible that spark can pull data from kafka if it is local to the
node i.e. the broker or partition is on the same machine.
Thanks,
Ashish
Hi ,
How can i pass an dynamic value inside below function to filter instead of
hardcoded
if have an existing RDD and i would like to use data in that for filter so
instead of doing .where("name=?","Anna") i want to do
.where("name=?",someobject.value)
Please help
JavaRDD rdd3 = javaFunctions(sc
Hi All ,
Are there any framework which can be used to execute workflows with in
spark or Is it possible to use ML Pipeline for workflow execution but not
doing ML .
Thanks,
Ashish
Yup thanks Ted. My getPartition() method had a bug where a signed int was
being moduloed with the number of partitions. Fixed that.
Thanks,
Ashish
On Thu, Sep 10, 2015 at 10:44 AM, Ted Yu wrote:
> Here is snippet of ExternalSorter.scala where ArrayIndexOutOfBoundsException
> was
} else {
return 1;
}
}
}
...
Thanks,
Ashish
On Wed, Sep 9, 2015 at 5:13 PM, Ted Yu wrote:
> Which release of Spark are you using ?
>
> Can you show skeleton of your partitioner and comparator ?
>
> Thanks
>
>
>
> On Sep 9, 2015, at 4:45 PM, Ashish Shenoy
&g
;s code and not my application code. Can you
pls point out what I am doing wrong ?
Thanks,
Ashish
Dear Sasha,
What I did was that I installed the parcels on all the nodes of the
cluster. Typically the location was
/opt/cloudera/parcels/CDH5.4.2-1.cdh5.4.2.p0.2
Hope this helps you.
With regards,
Ashish
On Tue, Sep 8, 2015 at 10:18 PM, Sasha Kacanski wrote:
> Hi Ashish,
> Thanks f
m
snippets on each worker, it works too.
I am not sure if this will help or not for your use-case.
Sincerely,
Ashish
On Mon, Sep 7, 2015 at 11:04 PM, Sasha Kacanski wrote:
> Thanks Ashish,
> nice blog but does not cover my issue. Actually I have pycharm running and
> loading pyspar
flow
<http://stackoverflow.com/search?q=no+module+named+pyspark> website
Sincerely,
Ashish Dutt
On Mon, Sep 7, 2015 at 7:17 AM, Sasha Kacanski wrote:
> Hi,
> I am successfully running python app via pyCharm in local mode
> setMaster("local[*]")
>
> When I turn on Spa
Thanks a lot everyone.
Very Helpful.
Ashish
On Thu, Sep 3, 2015 at 2:19 AM, Zalzberg, Idan (Agoda) <
idan.zalzb...@agoda.com> wrote:
> Hi,
>
> Yes, I can explain
>
>
>
> 1 to 3 -> 1,2,3
>
> 2 to 3- > 2,3
>
> 3 to 3 -> 3
>
> 3 to 3 -> 3
&
Hi ,
Can some one please explain the output of the flat map
data in RDD as below
{1, 2, 3, 3}
rdd.flatMap(x => x.to(3))
output as below
{1, 2, 3, 2, 3, 3, 3}
i am not able to understand how the output came as above.
Thanks,
Yes .. I am closing the stream.
Not sure what you meant by "bq. and then create rdd"?
-Ashish
On Mon, Aug 31, 2015 at 1:02 PM Ted Yu wrote:
> I am not familiar with your code.
>
> bq. and then create the rdd
>
> I assume you call ObjectOutputStream.close() prior to t
PM Ted Yu wrote:
> Ashish:
> Can you post the complete stack trace for NotSerializableException ?
>
> Cheers
>
> On Mon, Aug 31, 2015 at 8:49 AM, Ashish Shrowty
> wrote:
>
>> bcItemsIdx is just a broadcast variable constructed out of
>> Array[(String)] .. it
re serializing a stream somewhere. I'd look at what's inside
> bcItemsIdx as that is not shown here.
>
> On Mon, Aug 31, 2015 at 3:34 PM, Ashish Shrowty
> wrote:
> > Sean,
> >
> > Thanks for your comments. What I was really trying to do was to
> transform a
Do you think I should create a JIRA?
On Sun, Aug 30, 2015 at 12:56 PM Ted Yu wrote:
> I got StackOverFlowError as well :-(
>
> On Sun, Aug 30, 2015 at 9:47 AM, Ashish Shrowty
> wrote:
>
>> Yep .. I tried that too earlier. Doesn't make a difference. Are you able
&g
guide.html#broadcast-variables
>
> Cheers
>
> On Sun, Aug 30, 2015 at 8:54 AM, Ashish Shrowty
> wrote:
>
>> @Sean - Agree that there is no action, but I still get the
>> stackoverflowerror, its very weird
>>
>> @Ted - Variable a is just an int - val a = 10 .
I suggest taking a heap dump of driver process using jmap. Then open that
dump in a tool like Visual VM to see which object(s) are taking up heap
space. It is easy to do. We did this and found out that in our case it was
the data structure that stores info about stages, jobs and tasks. There can
be
Interesting. TD, can you please throw some light on why this is and point
to the relevant code in Spark repo. It will help in a better understanding
of things that can affect a long running streaming job.
On Aug 21, 2015 1:44 PM, "Tathagata Das" wrote:
> Could you periodically (say every 10 mins
Please help as not sure what is incorrect with below code as it gives me
complilaton error in eclipse
SparkConf sparkConf = new
SparkConf().setMaster("local[4]").setAppName("JavaDirectKafkaWordCount");
JavaStreamingContext jssc = new JavaStreamingContext(sparkConf,
Duratio
y.java:214)
at
py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:79)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:68)
at py4j.GatewayConnection.run(GatewayConnection.java:207)
at java.lang.Thread.run(Thread.java:745)
Traceback (most recent
:214)
at
py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:79)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:68)
at py4j.GatewayConnection.run(GatewayConnection.java:207)
at java.lang.Thread.run(Thread.java:745)
Traceback (most recent call l
Hi All ,
I am getting below error when i use the --conf
spark.files.userClassPathFirst=true parameter
Job aborted due to stage failure: Task 3 in stage 0.0 failed 4 times, most
recent failure: Lost task 3.3 in stage 0.0 (TID 32, 10.200.37.161):
java.lang.ClassCastException: cannot assign instance
Hi All ,
I am having a class loading issue as Spark Assembly is using google guice
internally and one of Jar i am using uses sisu-guice-3.1.0-no_aop.jar , How
do i load my class first so that it doesn't result in error and tell spark
to load its assembly later on
Ashish
Hi All ,
I have an XML file with same tag repeated multiple times as below , Please
suggest what would be best way to process this data inside spark as ...
How can i extract each open and closing tag and process them or how can i
combine multiple line into single line
...
..
..
Thanks,
Hi All ,
How can i broadcast a data change to all the executor ever other 10 min or
1 min
Ashish
Hello Arun,
Thank you for the descriptive response.
And thank you for providing the sample file too. It certainly is a great
help.
Sincerely,
Ashish
On Mon, Jul 13, 2015 at 10:30 PM, Arun Verma
wrote:
>
> PFA sample file
>
> On Mon, Jul 13, 2015 at 7:37 PM, Arun Verma
>
MySQL and PgSQL scale to millions. Spark or any distributed/clustered
computing environment would be inefficient for the kind of data size you
mention. That's because of coordination of processes, moving data around
etc.
On Mon, Jul 13, 2015 at 5:34 PM, Sandeep Giri
wrote:
> Even for 2L records
n Windows environment? What I mean is
how to setup .libPaths()? where is it in windows environment
Thanks for your help
Sincerely,
Ashish Dutt
On Mon, Jul 13, 2015 at 3:48 PM, Sun, Rui wrote:
> Hi, Kachau,
>
> If you are using SparkR with RStudio, have you followed the guideli
Hello Akhil,
Thanks for the response. I will have to figure this out.
Sincerely,
Ashish
On Thu, Jul 9, 2015 at 3:40 PM, Akhil Das
wrote:
> On Wed, Jul 8, 2015 at 7:31 PM, Ashish Dutt
> wrote:
>
>> Hi,
>>
>> We have a cluster with 4 nodes. The cluster uses CDH 5.4
written something wrong here. Cannot seem to figure out, what
is it?
Thank you for your help
Sincerely,
Ashish Dutt
On Thu, Jul 9, 2015 at 11:53 AM, Sujit Pal wrote:
> Hi Ashish,
>
> >> Nice post.
> Agreed, kudos to the author of the post, Benjamin Benfort of District Labs.
>
your help.
Sincerely,
Ashish Dutt
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N",
MAVEN_HOME="D:\MAVEN\BIN", PYTHON_HOME="C:\PYTHON27\", SBT_HOME="C:\SBT\"
Sincerely,
Ashish Dutt
PhD Candidate
Department of Information Systems
University of Malaya, Lembah Pantai,
50603 Kuala Lumpur, Malaysia
On Thu, Jul 9, 2015 at 4:56 AM, Sujit Pal wrote:
>
The error is JVM has not responded after 10 seconds.
On 08-Jul-2015 10:54 PM, "ayan guha" wrote:
> What's the error you are getting?
> On 9 Jul 2015 00:01, "Ashish Dutt" wrote:
>
>> Hi,
>>
>> We have a cluster with 4 nodes. The cluster uses CD
Hello Sooraj,
Thank you for your response. It indeed give me a ray of hope now.
Can you please suggest any good tutorials for installing and working with
ipython notebook server on the node.
Thank you
Ashish
On 08-Jul-2015 6:16 PM, "sooraj" wrote:
>
> Hi Ashish,
>
> I am ru
connect to the nodes I am usnig SSH
Question: Would it be better if I work directly on the nodes rather than
trying to connect my laptop to them ?
Question 2: If yes, then can you suggest any python and R IDE that I can
install on the nodes to make it work?
Thanks for your help
Sincerely,
Ashish
Hello Prateek,
I started with getting the pre built binaries so as to skip the hassle of
building them from scratch.
I am not familiar with scala so can't comment on it.
I have documented my experiences on my blog www.edumine.wordpress.com
Perhaps it might be useful to you.
On 08-Jul-2015 9:39 PM,
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