- #How to install apache spark for scala 2.11.8 how to#
- #How to install apache spark for scala 2.11.8 update#
- #How to install apache spark for scala 2.11.8 software#
STEP 13: Open yarn-env.sh and update the JAVA_HOME path in that file STEP 12: Open mapred-site.xml and update the framework architecture details as “yarn” STEP 11: Open hdfs-site.xml file and add the below properties: STEP 10: Open mapred-env.sh and update JAVA_HOME STEP 9: Open “ hadoop-env.sh” file and update the JAVA_HOME path
STEP 8: Open core-site.xml file, add the below properties STEP 7: We must and should to do edit the below 8 configuration files as part of HADOOP Installation: 1. STEP 6: Extract the copied tarball using below command: tar -xzvf hadoop-2.6.0.tar.gzīelow are the Total Configuration files in ‘Hadoop’ directory STEP 5: Download Hadoop-2.6.0 version tarball from Apache Mirrors from Apache official website Ssh-keygen -t rsa -P '' -f ~/.ssh/id_rsa cat ~/.ssh/id_rsa.pub > ~/.ssh/authorized_keys Password Less SSH Communication, enter the below commands at any terminal: ssh localhost Step 4: We must and should Install ssh using below command sudo apt-get install ssh Step 3: After that check Java Version using below command: Step 2: Next will Install java-1.8 version using the below command.
#How to install apache spark for scala 2.11.8 software#
Step 1: First step we need to update the “ System Software Repositories” using below command: Will move to Apache Spark for processing and 100% better than Map Reduce because it is based on c For storage purposes HDFS and Processing in Map Reduce but nowadays Map Reduce is not used. It is a solution for Big data to store and process a large amount of data. Val drmGauss = drmRand3d.Nowadays most emerging technology Hadoop.
Val mxRnd3d = Matrices.symmetricUniformView(5000, 3, 1234) 100%.įinally we use z.put(.) to put a variable into Zeppelin’s ResourcePool a block of memory shared by all interpreters. However, IF we knew we had a small matrix and we DID want to sample the entire thing, then we could sample 100.0 e.g. The matrix because, since we are dealing with “big” data, we wouldn’t want to try to collect and plot the entire matrix, drmSampleToTsv to take a sample of the matrix and turn it in to a tab seperated string. mapBlock and some clever code to create a 3D Gausian Matrix. In Mahout we can use Matrices.symmetricUniformView to create a Gaussian Matrix. Example 1: Visualizing a Matrix (Sample) with R Implicit val sdc: .SparkDistributedContext = sc2sdc(sc)Īt this point, you have a Zeppelin Interpreter which will behave like the $MAHOUT_HOME/bin/mahout spark-shellĪt the begining I mentioned a few important features of Zeppelin, that we could leverage to use Zeppelin for visualizatoins. Option 1: Build Mahout for Spark 2.1/Scala 2.11įollow the standard procedures for building Mahout, except manually set the Spark and Scala versions - the easiest way being: Zeppelin binaries by default use Spark 2.1 / Scala 2.11, until Mahout puts out Spark 2.1/Scala 2.11 binaries you have Of course, it does lots of other cool things too- but those are the features we’re going to take advantage of. Notebook (and facilitates sharing of variables between interpreters), and makes working with Spark and Flink in an interactive environment (either locally or in cluster mode) aīreeze. It comes with great integration for graphing in R and Python, supports multiple langauges in a single The Apache Zeppelin is an exciting notebooking tool, designed for working with Big DataĪpplications. Pre-built Docker container for trying out Mahout.
#How to install apache spark for scala 2.11.8 how to#
** DEPRECATED : While this page is useful for learning how to set up Mahout in Zeppelin, we strongly reccomend using a
0 kommentar(er)
