search for: mapreduce

Buenos días, Tengo instalado un cluster en una máquina virtual y he instalado R y Rstudio (sobre Ubuntu server 14.04 64 bits ) . Desde consola puedo entrar en R y ejecutar un ejemplo con mapreduce sin problemas. Pero cuando lo intento hacer desde Rstudio obtengo este error: 16/02/16 10:37:00 ERROR streaming.StreamJob: Job not successful! Streaming Command Failed! Error in mr(map = map, reduce = reduce, combine = combine, vectorized.reduce, : hadoop streaming failed with error code 1 Alg...

Hi All, I have written a Java MapReduce code that runs on Hadoop. My intention is to create an R package which will call the Java code and execute the job. Hence, I have written a similar R function. But when I call this function from R terminal, the Hadoop job is not running. Its just printing few lines of warning messages and does noth...

...dependencies Hadoop 1.2.1 Now I am trying to run a simple MR program as Sys.setenv(HADOOP_HOME="/home/training/Installations/hadoop-1.2.1") Sys.setenv(HADOOP_CMD="/home/training/Installations/hadoop-1.2.1/bin/hadoop") library(rmr2) library(rhdfs) ints = to.dfs(1:100) calc = mapreduce(input = ints, map = function(k, v) cbind(v, 2*v)) from.dfs(calc) The mapreduce job fails with the below error message in * hadoop-1.2.1/logs/userlogs/job_201310091055_0001/attempt_201310091055_0001_m_000000_0/stderr * Error in library(functional) : there is no package called ‘functional’ Executio...

...in a nil/null value for puppet, so it re-installs again. Here are some relevant details. Thanks for any help. ### puppetclent ~# puppet agent --server=puppet --waitforcert 5 --test --debug Debug: Executing ''/usr/local/bin/pip install -q --upgrade riak_pb'' Notice: /Stage[main]/Mapreduce/Package[riak_pb]/ensure: created Debug: /Stage[main]/Mapreduce/Package[riak_pb]: The container Class[Mapreduce] will propagate my refresh event ### puppetcilent ~# pip freeze | egrep riak.pb riak-pb==1.2.1 ### puppetclient ~# cat /usr/local/lib/python2.7/dist-packages/riak_pb-1.2.1-py2.7.egg-in...

...dalan Kangarlou (NetApp), Ramana Kompella (Purdue University), Dongyan Xu (Purdue University) 2. Singleton: System-wide Page Deduplication in Virtual Environments, Prateek Sharma, Purushottam Kulkarni (IIT Bombay) 3. Locality-aware Dynamic VM Reconfiguration on MapReduce Clouds, Jongse Park, Daewoo Lee, Bokyeong Kim, Jaehyuk Huh, Seungryoul Maeng (KAIST) 4. Achieving Application-Centric Performance Targets via Consolidation on Multicores: Myth or Reality?, Lydia Y. Chen Chen (IBM Research Zurich Lab), Danilo Ansaloni (Univ...

...dalan Kangarlou (NetApp), Ramana Kompella (Purdue University), Dongyan Xu (Purdue University) 2. Singleton: System-wide Page Deduplication in Virtual Environments, Prateek Sharma, Purushottam Kulkarni (IIT Bombay) 3. Locality-aware Dynamic VM Reconfiguration on MapReduce Clouds, Jongse Park, Daewoo Lee, Bokyeong Kim, Jaehyuk Huh, Seungryoul Maeng (KAIST) 4. Achieving Application-Centric Performance Targets via Consolidation on Multicores: Myth or Reality?, Lydia Y. Chen Chen (IBM Research Zurich Lab), Danilo Ansaloni (Univ...

...2008-09-15 15:04:42 D [tcp-server.c:257:gf_transport_fini] server: destroying transport object for 192.168.10.12:1023 (fd=63) 2008-09-15 15:04:42 D [tcp-server.c:145:tcp_server_notify] server: Registering socket (63) for new transport object of 192.168.10.12 2008-09-15 15:04:42 D [ip.c:120:gf_auth] mapreduce1: allowed = "*", received ip addr = "192.168.10.12" 2008-09-15 15:04:42 D [server-protocol.c:5667:mop_setvolume] server: accepted client from 192.168.10.12:1022 2008-09-15 15:04:42 D [tcp-server.c:145:tcp_server_notify] server: Registering socket (66) for new transport object of...

...e tools: 1) R text mining toolbox: Meant for local (client side) text processing and it uses the XML library 2) Hive: Hadoop interative, provides the framework to call map/reduce and also provides the DFS interface for storing files on the DFS. 3) RHIPE: R Hadoop integrated environment 4) Elastic MapReduce with R: a MapReduce framework for those who do not have their own clusters 5) Distributed Text Mining with R: An attempt to make seamless move form local to server side processing, from R-tm to R-distributed-tm I have the following questions and confusions about the above packages 1) Hive and RHI...

...a-Intensive Distributed Computing http://www.cse.buffalo.edu/faculty/tkosar/didc2012 - ISDP: In-Situ Data Processing technologies http://users.nccs.gov/~sklasky/isdp - LSAP2012: 4th Workshop on Large-scale Systems and Applications Performance http://www.lsap2012.org/ - MapReduce'12: The Third Int'l Workshop on MapReduce and its Applications http://graal.ens-lyon.fr/mapreduce - VTDC-2012: 6th Int'l Workshop on Virtualization Technologies in Distributed Computing http://www.grid-appliance.org/wiki/index.php/VTDC12 -- ==========================...

...a-Intensive Distributed Computing http://www.cse.buffalo.edu/faculty/tkosar/didc2012 - ISDP: In-Situ Data Processing technologies http://users.nccs.gov/~sklasky/isdp - LSAP2012: 4th Workshop on Large-scale Systems and Applications Performance http://www.lsap2012.org/ - MapReduce'12: The Third Int'l Workshop on MapReduce and its Applications http://graal.ens-lyon.fr/mapreduce - VTDC-2012: 6th Int'l Workshop on Virtualization Technologies in Distributed Computing http://www.grid-appliance.org/wiki/index.php/VTDC12 -- ==========================...

...d be nicer to integrate with. I’m writing this mail to propose a strawman and get some feedback on what you guys think the right way forward is (or whether we should just leave things as they are). First, the FileManager we have in clang has helped us a lot for our tooling - when we run clang in a mapreduce we don’t need to lay out files on a disk, we can just map files into memory and happily clang over them. We’re also using the same mechanism to map builtin includes; in short, the FileManager has made it possible to do clang at scale. Now we’re aware that it was not really the intention of the Fil...

...dia.org/wiki/Hadoop ?Apache Hadoop is a free Java software framework that supports data intensive distributed applications running on large clusters of commodity computers.[1] It enables applications to work with thousands of nodes and petabytes of data. Hadoop was inspired by Google's MapReduce and Google File System (GFS) papers.? --------------------------- Information about PIG: http://incubator.apache.org/pig/ ?Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluatin...

...with. I’m writing this mail to propose a strawman and get > some feedback on what you guys think the right way forward is (or > whether we should just leave things as they are). > > First, the FileManager we have in clang has helped us a lot for our > tooling - when we run clang in a mapreduce we don’t need to lay out > files on a disk, we can just map files into memory and happily clang > over them. We’re also using the same mechanism to map builtin > includes; in short, the FileManager has made it possible to do clang > at scale. > > Now we’re aware that it was not re...

...is mail to propose a strawman and get >> some feedback on what you guys think the right way forward is (or >> whether we should just leave things as they are). >> >> First, the FileManager we have in clang has helped us a lot for our >> tooling - when we run clang in a mapreduce we don’t need to lay out >> files on a disk, we can just map files into memory and happily clang >> over them. We’re also using the same mechanism to map builtin >> includes; in short, the FileManager has made it possible to do clang >> at scale. >> >> Now we’re...

...ith. I’m writing this mail to propose a strawman and get > some feedback on what you guys think the right way forward is (or > whether we should just leave things as they are). > > First, the FileManager we have in clang has helped us a lot for our > tooling - when we run clang in a mapreduce we don’t need to lay out > files on a disk, we can just map files into memory and happily clang > over them. We’re also using the same mechanism to map builtin > includes; in short, the FileManager has made it possible to do clang > at scale. > > Now we’re aware that it was not r...

Hi, I have a MapReduce Java code, which I am calling from R using rJava. I have prepared the R package and tested that successfully. But when I deployed the package in a cluster and executed it, I am getting ClassNotFoundException. If I run the same job directly without integrating with R, it runs perfectly. Here is my R...

...a basic Shared Associative Space via IBM's TSpaces - with commands like rhput,rhtake,rhread etc. This is optional. See the website for details and performance results. Unfortunately, I haven't had the chance to compare with rmpi and snow. TODO(will appear soon ): another function: rhmr - mapreduce using R. Regards Saptarshi Guha [[alternative HTML version deleted]]

Hello All, Having some issue with local machine, I need to locate myself on Amazon for running R and Hadoop with Amazon instance. After searching a lot, I can't able to take a decision for choosing Image for Amazon instance. Can any one using R + Hadoop on Amazon. Thanks [[alternative HTML version deleted]]

...ware, and statistical methods and applications. New this year: *Applied Text-Mining and Text-Analysis with R *Introduction to Visual Analytics *Pattern Analysis, Predictive Analytics and Big Data: Theory and Methods *A Unifying Statistical Framework for Big Data: Graphical Models *Introduction to MapReduce Programming Model with Hadoop *Writing Competitive Federal Grant Proposals We are offering these introductory courses in common statistical software: *Introduction to Microsoft Access *Introduction to R *Introduction to Stata [sponsored by www.stata.com] *Introduction to SPSS *Data Analysis...

...ou should be ready to jump in and start making a difference for our users right away. How we work: o We use Java and Ruby o We test everything o We''re agile o We work in an open collaborative environment It would also be nice if you had experience with: o Ruby on Rails and RSpec o Hadoop MapReduce o Integration testing with Cucumber o Amazon Web Services If you are interested in this job, please submit your RESUME and SALARY requirements to opensourcestaffing|AT|gmail.com Thank you, Beau J. Gould ------------------ Open Source Staffing http://opensourcestaffing.wordpress.com opensourcestaf...