emr hadoop version

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Hadoop HDFs Programming API Primer Series Simple synthesis version 1 (iv)

Threepath[] Listedpaths = fileutil.stat2paths (status);Fourth Stepfor (Path p:listedpaths){SYSTEM.OUT.PRINTLN (P); }Fifth StepFs.close ();}public static void Getfilelocal () throws IOException, URISyntaxException{The first stepFileSystem Fs=getfilesystem ();Step TwoPath path=new path ("/zhouls/data/weibo.txt");Step ThreeFilestatus filestatus=fs.getfilelinkstatus (path);Fourth Stepblocklocation[] blklocations = fs.getfileblocklocations (filestatus, 0, Filestatus.getlen ());Fifth Stepfor (int i=0

Hadoop MapReduce Programming API Starter Series Web traffic version 1 (22)

description and submission classespublic class Flowsumrunner extends configured implements tool{public int run (string[] arg0) throws Exception {Configuration conf = new configuration ();Job Job = job.getinstance (conf);Job.setjarbyclass (Flowsumrunner.class);Job.setmapperclass (Flowsummapper.class);Job.setreducerclass (Flowsumreducer.class);Job.setmapoutputkeyclass (Text.class);Job.setmapoutputvalueclass (Flowbean.class);Job.setoutputkeyclass (Text.class);Job.setoutputvalueclass (Flowbean.clas

A little understanding of the Hadoop version yarn

Yarn is essentially a new operating system for Hadoop, breaking through the performance bottlenecks of the MapReduce framework. Using yarn to manage cluster resource requests, Hadoop upgrades from a single application system to a multiple-application operating system. Its application types include machine learning, image analysis, streaming analysis and interactive query functions. Once the yarn is fully op

Latest version of "Hadoop" Apache Flume 1.7 Practice (unfinished, pending)

Origin: Since Hadoop is used, and because the project is not currently distributed, it is a clustered environment that causes the business log to be moved every time, and then analyzed by Hadoop.In this case, it is not as good as the previous distributed flume to work with out-of-the-box HDFs to avoid unnecessary operations. Preparation Environment: You must have a ready-to-use version of

Hadoop MapReduce Programming API Starter Series WordCount version 5 (ix)

HDFs = Mypath.getfilesystem (conf);//Get File systemif (Hdfs.isdirectory (MyPath)){//If this output path exists in the file system, delete theHdfs.delete (MyPath, true);} Job Wcjob = new Job (conf, "WC");//Build a Job object named TestanagramSet the jar package for the classes that are used by the entire jobWcjob.setjarbyclass (Wcrunner.class);Mapper and reducer classes used by this jobWcjob.setmapperclass (Wcmapper.class);Wcjob.setreducerclass (Wcreducer.class);Specify the output data kv type

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