You probably want to recognize "spark-shell" as a command in your
environment. Maybe try "sudo ln -s /path/to/spark-shell
/usr/bin/spark-shell" Have you tried "./spark-shell" in the current path
to see if it works?
Thank You,
Irving Duran
On Thu, May 31, 2018 at 9:00 AM Remil Mohanan wrote:
Thanks for suggestion. Can you suggest me from where and how I how to start
from the scratch to work on Spark.
On Fri, Jun 10, 2016 at 8:18 PM, Holden Karau wrote:
> So that's a bit complicated - you might want to start with reading the
> code for the existing algorithms
So that's a bit complicated - you might want to start with reading the code
for the existing algorithms and go from there. If your goal is to
contribute the algorithm to Spark you should probably take a look at the
JIRA as well as the contributing to Spark guide on the wiki. Also we have a
Hi All,
How to add new ML algo in Spark MLlib.
On Fri, Jun 10, 2016 at 12:50 PM, Ram Krishna
wrote:
> Hi All,
>
> I am new to this this field, I want to implement new ML algo using Spark
> MLlib. What is the procedure.
>
> --
> Regards,
> Ram Krishna KT
>
>
>
>
>
>
Hi Ram,
Not super certain what you are looking to do. Are you looking to add a new
algorithm to Spark MLlib for streaming or use Spark MLlib on streaming data?
Cheers,
Holden
On Friday, June 10, 2016, Ram Krishna wrote:
> Hi All,
>
> I am new to this this field, I
Hi All,
I am new to this this field, I want to implement new ML algo using Spark
MLlib. What is the procedure.
--
Regards,
Ram Krishna KT
Hi,
I'm new in Spark. I want to install it on my local machine (Ubunti 12.04)
Could you help me please to install step by step Spark on may machine and
run some Scala programms.
Thanks
For local machine, I dont think there is any to install.. Just unzip and go
to $SPARK_DIR/bin/spark-shell and that will open up a repl...
On Tue, Feb 10, 2015 at 3:25 PM, King sami kgsam...@gmail.com wrote:
Hi,
I'm new in Spark. I want to install it on my local machine (Ubunti 12.04)
Could
This works for me:
export MAVEN_OPTS=-Xmx2g -XX:MaxPermSize=512M
-XX:ReservedCodeCacheSize=512m mvn -DskipTests clean package
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Installation-Maven-PermGen-OutOfMemoryException-tp20831p20868.html
Sent
Medasani
From: so...@cloudera.com
Date: Tue, 23 Dec 2014 15:39:59 +
Subject: Re: Spark Installation Maven PermGen OutOfMemoryException
To: gdm...@outlook.com
CC: protsenk...@gmail.com; user@spark.apache.org
The text there is actually unclear. In Java 8, you still need to set
,
Vladimir Protsenko
2014-12-23 19:45 GMT+04:00 Guru Medasani gdm...@outlook.com:
Thanks for the clarification Sean.
Best Regards,
Guru Medasani
From: so...@cloudera.com
Date: Tue, 23 Dec 2014 15:39:59 +
Subject: Re: Spark Installation Maven PermGen OutOfMemoryException
To: gdm
Subject: Re: Spark Installation Maven PermGen OutOfMemoryException
To: gdm...@outlook.com
CC: protsenk...@gmail.com; user@spark.apache.org
The text there is actually unclear. In Java 8, you still need to set
the max heap size (-Xmx2g). The optional bit is the
-XX:MaxPermSize=512M
?
export MAVEN_OPTS=`-Xmx=1500m -XX:MaxPermSize=512m
-XX:ReservedCodeCacheSize=512m` doesn't help.
Waht is a straight forward way to start using Spark?
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Installation-Maven-PermGen-OutOfMemoryException-tp20831
-XX:ReservedCodeCacheSize=512m` doesn't help.
Waht is a straight forward way to start using Spark?
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Installation-Maven-PermGen-OutOfMemoryException-tp20831.html
Sent from the Apache Spark User List mailing
Subject: Re: Spark Installation Maven PermGen OutOfMemoryException
To: protsenk...@gmail.com
CC: user@spark.apache.org
You might try a little more. The official guidance suggests 2GB:
https://spark.apache.org/docs/latest/building-spark.html#setting-up-mavens-memory-usage
On Tue, Dec 23
The text there is actually unclear. In Java 8, you still need to set
the max heap size (-Xmx2g). The optional bit is the
-XX:MaxPermSize=512M actually. Java 8 no longer has a separate
permanent generation.
On Tue, Dec 23, 2014 at 3:32 PM, Guru Medasani gdm...@outlook.com wrote:
Hi Vladimir,
Thanks for the clarification Sean.
Best Regards,Guru Medasani
From: so...@cloudera.com
Date: Tue, 23 Dec 2014 15:39:59 +
Subject: Re: Spark Installation Maven PermGen OutOfMemoryException
To: gdm...@outlook.com
CC: protsenk...@gmail.com; user@spark.apache.org
The text
Hi Srikrishna
the reason to this issue is you had uploaded assembly jar to HDFS twice.
paste your command could be better diagnosis
田毅
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On Tue, Jul 8, 2014 at 4:07 AM, Srikrishna S srikrishna...@gmail.com
wrote:
Hi All,
Does anyone know what the command line arguments to mvn are to generate
the pre-built binary for spark on Hadoop 2-CHD5.
I would like to pull in a recent bug fix in spark-master and rebuild the
binaries in
Hi All,
I tried the make distribution script and it worked well. I was able to
compile the spark binary on our CDH5 cluster. Once I compiled Spark, I
copied over the binaries in the dist folder to all the other machines
in the cluster.
However, I run into an issue while submit a job in
Hi All,
Does anyone know what the command line arguments to mvn are to generate the
pre-built binary for spark on Hadoop 2-CHD5.
I would like to pull in a recent bug fix in spark-master and rebuild the
binaries in the exact same way that was used for that provided on the
website.
I have tried
Hey Chirag,
Those init scripts are part of the Cloudera Spark package (they are
not in the Spark project itself) so you might try e-mailing their
support lists directly.
- Patrick
On Wed, Jun 4, 2014 at 7:19 AM, chirag lakhani chirag.lakh...@gmail.com wrote:
I recently spun up an AWS cluster
Spark is already part of the distribution, and the core CDH5 parcel.
You shouldn't need extra steps unless you're doing something special.
It may be that this is the very cause of the error when trying to
install over the existing services.
On Wed, Jun 4, 2014 at 3:19 PM, chirag lakhani
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