hadoop java tutorial

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Conversion between Java type and Hadoop type

Java basic types vs. common basic types of HadoopLong longwritableInteger intwritableBoolean booleanwritableStringTextHow does the Java type Translate to Hadoop basic type?Call the construction method of the Hadoop type, or call the set () method.New Longwritable (123L);How does Ha

Big Data Learning Practice Summary (2)--Environment building, Java guidance, Hadoop building

is used when checking user permissions. In short, this part of the content is a bit difficult, you need to be able to write a comprehensive vim command, while the relevant process of Hadoop know.SummarizeNow the Python command, I think, theory and practice is really very different, continuous learning process, not only to overcome the inherent flaws in the code, but also to the kernel principle has a deeper understanding. Fortunately, the good habits

Java API for Hadoop file system additions and deletions

Java API for Hadoop file system additions and deletionsThe Hadoop file system can be manipulated through shell commands hadoop fs -xx , as well as a Java programming interfaceMAVEN Configuration"http://maven.apache.org/POM/4.0.0"Xmlns:xsi="Http://www.w3.org/2001/XMLSchema-in

Hadoop Java program runs

1. Right-click Project and select Maven build to generate the jar file.2. Generate input File:Hadoop fs-put Input File path folder Example:hadoop fs-put $HADOOP _home/hadoop-wordcount/input/inputhadoop fs-ls input3. Run the Java file:Hadoop Jar Jar file path package name. file name input file output file Example:hadoop jar $H

Hadoop Lesson Fifth: Java Development map/reduce

locallyFileinputformat.setinputpaths (Job, "hdfs://master:9000/wcinput/"); Fileoutputformat.setoutputpath (Job, New Path ("hdfs://master:9000/wcoutput2/"));Note that this is to pull the HDFs file locally to run, if you observe the output, you will see the Jobid with the local wordAt the same time this operation is not required yarn (self-stop yarn service to do experiments)At the remote server executionConf.set ("Fs.defaultfs", "hdfs://master:9000/"); Conf.set ("Mapreduce.job.jar", "Target/wc.j

HADOOP nutch java MySQL

Download the Hadoop installation package wget http://apache.fayea.com/hadoop/common/hadoop-2.7.2/hadoop-2.7.2.tar.gz Java installation wget-c--header " Cookie:oraclelicense=accept-securebackup-cookie "http://download.oracle.com/otn-pub/j

Reading information on a Hadoop cluster using the HDFS client Java API

This article describes the configuration method for using the HDFs Java API.1, first solve the dependence, pomDependency> groupId>Org.apache.hadoopgroupId> Artifactid>Hadoop-clientArtifactid> version>2.7.2version> Scope>ProvidedScope> Dependency>2, configuration files, storage HDFs cluster configuration information, basically from Core-site.xml and Hdfs-sit

Hadoop reading Notes (iii) Java API operations HDFs

Hadoop reading Notes (i) Introduction to Hadoop: http://blog.csdn.net/caicongyang/article/details/39898629Hadoop Reading notes (ii) the shell operation of HDFs :http://blog.csdn.net/caicongyang/article/details/41253927JAVA URL Operation HDFsOperatebyurl.javaPackage Hdfs;import Java.io.inputstream;import Java.net.url;import org.apache.hadoop.fs.FsUrlStreamHandlerFactory; Import Org.apache.hadoop.io.ioutils;p

Hadoop MapReduce (WordCount) Java programming

classes that are used by the entire jobJob.setjarbyclass (Wcrunner.class);Job.setmapperclass (Wcmapper.class);Job.setreducerclass (Wcreducer.class);Map output Data kv typeJob.setmapoutputkeyclass (Text.class);Job.setmapoutputvalueclass (Longwritable.class);Reduce output data kv typeJob.setoutputkeyclass (Text.class);Job.setoutputvalueclass (Longwritable.class);Path to execute input dataFileinputformat.setinputpaths (Job, New Path ("/wordcount/inpput"));Path to execute output dataFileoutputforma

Java access to Hadoop Distributed File system HDFS configuration Instructions _java

Configuration file m103 Replace with the HDFs service address.To use the Java client to access the file on the HDFs, have to say is the configuration file Hadoop-0.20.2/conf/core-site.xml, originally I was here to eat a big loss, so I am not even hdfs, file can not be created, read. Configuration item: Hadoop.tmp.dir represents the directory location on the named node where the metadata resid

Run Hadoop program in Java error: Org.apache.hadoop.fs.LocalFileSystem cannot be cast to Org.apache.

Running the Hadoop routine in Java error: Org.apache.hadoop.fs.LocalFileSystem cannot be cast to Org.apache. The code is as follows: PackageCom.pcitc.hadoop;Importjava.io.IOException;Importorg.apache.hadoop.conf.Configuration;ImportOrg.apache.hadoop.fs.FileSystem;ImportOrg.apache.hadoop.hdfs.DistributedFileSystem;ImportOrg.apache.hadoop.hdfs.protocol.DatanodeInfo;/*** Get all node names on the HDFs cluster

Java API operation for Hadoop under HA mode

When connecting to a Hadoop cluster through the Java API, if the cluster supports HA mode, it can be set up to automatically switch to the active master node as follows. Wherein, clustername can be arbitrarily specified, with the cluster configuration independent, Dfs.ha.namenodes.ClusterName can also arbitrarily specify the name, there are several master write a few, followed by the corresponding settings

Hadoop Learning notes: The HDFs Java API uses

")); SYSTEM.OUT.PRINTLN (flag); @Test public void Testupload () throws IllegalArgumentException, ioexception{fsdataoutputstream out = FS . Create (New Path ("/words.txt")); FileInputStream in = new FileInputStream (New File ("E:/w.txt")); Ioutils.copybytes (in, out, 2048, true); public static void Main (string[] args) throws Exception {Configuration conf = new Configuration (); Conf.set ("Fs.defaultfs", "hdfs://123.206.xxx.xxx:9000"); Conf.set (

accessing HDFS JAVA API Client under "Hadoop" HA scenario

The client needs to specify the NS name, node configuration, Configuredfailoverproxyprovider and other information.code example:Package Cn.itacst.hadoop.hdfs;import Java.io.fileinputstream;import java.io.inputstream;import Java.io.outputstream;import Java.net.uri;import Org.apache.hadoop.conf.configuration;import Org.apache.hadoop.fs.filesystem;import Org.apache.hadoop.fs.path;import org.apache.hadoop.io.IOUtils; Public classHdfs_ha { Public Static voidMain (string[] args) throws Exception {Conf

WARN util. nativecodeloader:unable to load Native-hadoop library for your platform ... using Builtin-java classes where applicable

CD hadoop-2.4.1/lib/nativeFile libhadoop.so.1.0.0 to view your own version of HadoopView dependent libraries with the LDD commandLDD libhadoop.so.1.0.0LDD--version native version of GCChttp://blog.csdn.net/l1028386804/article/details/51538611Should be due to the GCC version of the problem, this will be compiled for a long time, so the solution is to comment out the log4j inside, or in the beginning of the installation of Linux after the upgrade and gl

Java Operations for Hadoop HDFs

to be closed manually, System.out is also an output stream, and if true, it will not output theIoutils.copybytes (in, System.out, 1024,false); In.close (); }Delete a file or folder/**Delete a file or folder * True: Indicates whether to delete recursively, if it is a file, here is True,false is indifferent, * folder must be true, otherwise error *@throwsurisyntaxexception*/ Public Static voidDelete ()throwsIOException, urisyntaxexception {FileSystem FileSystem=Getfilesystem (); BooleanisD

Submitting Hadoop jobs using the old Java API

(Text.class); Job.setmapoutputvalueclass (Longwritable.class); Job.setreducerclass (Jreducer.class); Job.setoutputkeyclass (Text.class); Job.setoutputvalueclass ( Longwritable.class); Fileoutputformat.setoutputpath (Job, Outpath); Job.setoutputformat (textoutputformat.class);// Use Jobclient.runjob instead of job.waitForCompletionJobClient.runJob (job);}}Can seeIn fact, the old version of the API is not very different, just a few classes replaced itNote that the old version of the API class is

Using the Java API to get the filesystem of a Hadoop cluster

Parameters required for configuration:Configuration conf = new Configuration();conf.set("fs.defaultFS", "hdfs://hadoop2cluster");conf.set("dfs.nameservices", "hadoop2cluster");conf.set("dfs.ha.namenodes.hadoop2cluster", "nn1,nn2");conf.set("dfs.namenode.rpc-address.hadoop2cluster.nn1", "10.0.1.165:8020");conf.set("dfs.namenode.rpc-address.hadoop2cluster.nn2", "10.0.1.166:8020");conf.set("dfs.client.failover.proxy.provider.hadoop2cluster", "org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFai

Hadoop based Hortonworks installation: Java installation

The Hadoop installation in this article is based on the Hortonworks RPMs installation Documents See: Http://docs.hortonworks.com/CURRENT/index.htm Http://www.oracle.com/technetwork/java/javase/downloads/jdk-6u31-download-1501634.html Download Java jdk-6u31-linux-x64.bin #Java settings chmod U+x/home/jdk-6u31-linux

Remotely monitor Java processes using VISUALVM (for example, Hadoop process)

(i) Download installation1. Download VISUALVMDownload on official website, with Mac version2, tools-Plug-ins, select the plug of interest to installAt this point, if there is a local running Java process, then the local there is already able to monitor the analysis(ii) Remote server configuration1, in any directory to establish the file Jstatd.all.policy, the contents are as follows:Grant CodeBase "file:${java.home}/. /lib/tools.jar "{Permission java.

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