![]() Here in this Apache Pig example, the file is in Folder input. Step 2) Pig in Big Data takes a file from HDFS in MapReduce mode and stores the results back to HDFS.Ĭopy file SalesJan2009.csv (stored on local file system, ~/input/SalesJan2009.csv) to HDFS (Hadoop Distributed File System) Home Directory Step 1) Start Hadoop $HADOOP_HOME/sbin/start-dfs.sh $HADOOP_HOME/sbin/start-yarn.sh Input: Our input data set is a CSV file, SalesJan2009.csv We will use Pig Scripts to find the Number of Products Sold in Each Country. Step 6) Test the Pig installation using the command pig -help So, a system should be connected to the internet.Īlso, in case this process stuck somewhere and you don’t see any movement on command prompt for more than 20 minutes then press Ctrl + c and rerun the same command. Please note that in this recompilation process multiple components are downloaded. Recompile PIG sudo ant clean jar-all -Dhadoopversion=23 #Hive pigg oozie projects tasks download#Note: Download will start and will consume time as per your internet speed. Step 5) We need to recompile PIG to support Hadoop 2.2.0 Step 4) Now, source this environment configuration using below command. Open ~/.bashrc file in any text editor of your choice and do below modifications- export PIG_HOME=Įxport PATH=$PIG_HOME/bin:$HADOOP_HOME/bin:$PATH Modify ~/.bashrc to add Pig related environment variables Move to a directory containing Pig Hadoop Files cd /usr/localĮxtract contents of tar file as below sudo tar -xvf pig-0.12.1.tar.gz Step 2) Once a download is complete, navigate to the directory containing the downloaded tar file and move the tar to the location where you want to setup Pig Hadoop. ![]() Select tar.gz (and not ) file to download. Step 1) Download the stable latest release of Pig Hadoop from any one of the mirrors sites available at ![]() Change user to ‘hduser’ (id used while Hadoop configuration, you can switch to the userid used during your Hadoop config) #Hive pigg oozie projects tasks how to#Now in this Apache Pig tutorial, we will learn how to download and install Pig:īefore we start with the actual process, ensure you have Hadoop installed. ![]() MapReduce mode with the fully distributed cluster is useful of running Pig on large datasets. Map Reduce mode: In this mode, queries written in Pig Latin are translated into MapReduce jobs and are run on a Hadoop cluster (cluster may be pseudo or fully distributed). ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |