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 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
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
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
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
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
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
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
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
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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
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
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
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
(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
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