Coexistence of cluster integration and workload isolation are a high value: both, data engineers and data scientists get short paths to the data while no additional risk or negative impact on each other is introduced. Instead of forcing data movements out of secure enterprise clusters, Cloudera Data Science Workbench connects data workers directly to the enterprise data hub, while at the same time a personal sandbox is provided. Nick Porter describes data workers in his blog post from 2013: ' Data Workers …, are normally 'at the coalface' hewing out chunks of data with a range of ETL, Data Integration, BI and other tools.'
In a previous blog post I have shown an Apache Maven based approach for managing your own Apache Spark modules, especially how to create your uber-JARs for individual jobs which can automatically be triggered by Apache Oozie workflows.Ĭloudera Data Science Workbench is a tool for data workers. Such an image or engine customization gives you the benefit of being able to work with your favorite tool chain inside the web based application.Ĭloudera Data Science Workbench (CDSW) enables data scientists to use their favorite tools such as R, Python, or Scala based libraries out of the box in an isolated secure sandbox environment. Total committed heap usage (bytes)=489684992Įstimated value of Pi is 3.This article shows how to build and publish a customized Docker image for usage as an engine in Cloudera Data Science Workbench. Virtual memory (bytes) snapshot=7846543360 Physical memory (bytes) snapshot=611356672 Total megabyte-seconds taken by all reduce tasks=5208064 Total megabyte-seconds taken by all map tasks=10989568 Total vcore-seconds taken by all reduce tasks=5086 Total vcore-seconds taken by all map tasks=10732 Total time spent by all reduce tasks (ms)=5086 Total time spent by all map tasks (ms)=10732 Total time spent by all reduces in occupied slots (ms)=5086 Total time spent by all maps in occupied slots (ms)=10732 Test a mapreduce hadoop]# bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0-cdh5.9.1.jar pi 2 100ġ7/01/30 16:21:44 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform. Modify the configuration file:/etc/hosts,Įxport JAVA_HOME=/home/hadoop/jdk1.8.0_91ġ1.
Yum install initscripts #To solve the problem of not finding functionsĩ. Later, I encountered the problem of ssh unable to connect, yum openedSSL and Format HDFS after decompression and installation:Įncountered the first hadoop]# bin/hadoop namenode-formatĮrror: Could not find or load main class namenode-format The reason is that there is a space after the namenode. Wget wget -no-check-certificate -no-cookies -header "Cookie: oraclelicense=accept-securebackup-cookie" ħ. Remember to install wget, vim, sudo, telnet, openssl server and client as well as initscripts Run docker pull to pull the centos imageĭocker run -it centos:centos7/bin/bash 3.