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This article describes the resolution process for job recalculation when submitting jobs in CentOS 6.5 to Hadoop 1.2.1 encountered Error:java heap space errors in the reduce phase. Workaround for Linux, Mac os X, and Windows operating systems.Environment: Mac OS X 10.9.5, IntelliJ idea 13.1.4, Hadoop 1.2.1Hadoop is placed in a virtual machine, and the host is connected via SSH, IDE and data files on the hos
instancesSo Java serialization is very powerful, the serialization of the information is very detailed, but the serialization of memory.2.Hadoop serializationCompared to the JDK relatively concise, in the urgent mass of information transmission is mainly by these serialized byte building to pass, so faster speed, smaller capacity.Features of Hadoop serialization
When you start the daemon thread: Sbin/start-dfs. SHThe following error alert appears:WARN util. nativecodeloader:unable to load Native-hadoop library for your platform ... using Builtin-java classes where applicableWorkaround:Download the corresponding version below the URL (I'm using hadoop-2.5.2)Http://dl.bintray.com/sequenceiq/sequenceiq-binAfter downloading,
Path (path); try {FileSystem FileSystem = Getfilesystem (); if (Filesystem.isfile (strpath)) {result = Filesystem.delete (strpath); } else{throw new NullPointerException ("Logical exception: Error deleting file attribute, failed to delete file, if delete folder should use RemoveDir (String path)"); }} catch (Exception e) {System.out.println ("exception:" + E.getmessage ()); } return result; /** * to a list of files or folders * @param path files or fo
Why does data analysis generally use java instead of hadoop, flume, and hive APIs to process related services? Why does data analysis generally use java instead of hadoop, flume, and hive APIs to process related services? Reply content: Why does data analysis generally use java
First, build the Hadoop development environment The various codes that we have written at work are run on the server, and the operation code of HDFS is no exception. In the development phase, we use eclipse under Windows as the development environment to access HDFS running in the virtual machine. That is, access to HDFS in remote Linux through Java code in local eclipse.To access HDFs in the clien
and B2 a given starting position (S1 and S2) and an integer of length L1 and L2 directly. Public interface Rawcomparator Writablecomparator: is a generic implementation of Rawcomparator, offering two features: provides a default implementation of a Rawcomparator Comparea (), The default implementation simply deserializes the key and then compares it, with no performance benefit. Second, it acts as a factory method for Rawcomaprator instances. when we want to implement a custom key sort (custom
Import Java.io.FileInputStream;Import java.io.FileNotFoundException;Import Java.io.FileOutputStream;Import java.io.IOException;Import Java.net.URI;Import Org.apache.commons.io.IOUtils;Import org.apache.hadoop.conf.Configuration;Import Org.apache.hadoop.fs.FSDataInputStream;Import Org.apache.hadoop.fs.FSDataOutputStream;Import Org.apache.hadoop.fs.FileStatus;Import Org.apache.hadoop.fs.FileSystem;Import Org.apache.hadoop.fs.LocatedFileStatus;Import Org.apache.hadoop.fs.Path;Import Org.apache.hado
Today to open an account to configure Hadoop, but all finished, run, there is no Java found in the case, my Java is set in the. ZSHRC, export Java_home=/usr/lib/jvm/java, in the original is available, But not this time, and then found the solution on the Internet, into the hadoop
Statement This article is based on CentOS 6.x + CDH 5.x In this example, Hbase is installed in cluster mode This article is based on maven3.5+ and Eclipse 4.3 After the tutorial, we must look at the following We do not build hbase to use the shell to check the data, we are writing HBase-based applications, so learning how to use Java to invoke HBase is a required course. Setting up the project open Eclipse to build a Maven pr
[TOC] Hadoop HDFS Java APIMainly Java operation HDFs Some of the common code, the following direct code:Package Com.uplooking.bigdata.hdfs;import Org.apache.hadoop.conf.configuration;import org.apache.hadoop.fs.*; Import Org.apache.hadoop.fs.permission.fspermission;import Org.apache.hadoop.io.ioutils;import org.junit.After; Import Org.junit.before;import or
First, the commonly compiled Hadoop library is in Lib, if you do not want to compile, you can use the lib/native inside the precompiled library, and then move the native library to the Lib folder.CP hadoop-2.6.0/lib/native/* hadoop-2.6.0/lib/Second, add the system variableExport Hadoop_common_lib_native_dir=/home/administrator/work/
Java+hadoop+spark+hbase+scalaUnder/etc/profile, add the following environment variablesExport java_home=/usr/java/jdk1.8.0_102Export JRE_HOME=/USR/JAVA/JDK1.8.0_102/JREExport classpath= $JAVA _home/lib/tools.jar: $JAVA _home/lib/d
Two cyanEmail: [Email protected] Weibo: HTTP://WEIBO.COM/XTFGGEFWould like to install a single-node environment is good, and then after the installation of the total feel not enough fun, so today continue to study, to a fully distributed cluster installation. The software used is the same as the previous one-node installation of Hadoop, as follows: Ubuntu 14.10-Bit Server Edition Hadoop2.6.0 JDK 1.7.0_71 Ssh Rsync Prepare
Part 1W3cschool's MongoDB java:http://www.w3cschool.cc/mongodb/mongodb-java.htmlMongoDB Java Drive use collation: http://blog.163.com/wm_at163/blog/static/132173490201110254257510/MongoDB Java version driver: http://www.aichengxu.com/view/13226Mongo-java-driver Download: http://central.maven.org/maven2/org/mongodb/mongo-java
1. Installing hiveBefore installing hive, make sure that Hadoop is installed, if it is not installed, refer to Centoos install Hadoop cluster for installation; 1.1, download, unzipDownload hive2.1.1:http://mirror.bit.edu.cn/apache/hive/hive-2.1.1/apache-hive-2.1.1-bin.tar.gz;Unzip the downloaded hive package into/usr/local tar -zxvf apache-hive-2.1.1-bin.tar.gz -C /usr/local/Go to the/usr/local dir
The command to run the MapReduce jar package is the Hadoop jar **.jar The command to run the jar package for the normal main function is Java-classpath **.jar Because I have not known the difference between the two commands, so I stubbornly use Java-classpath **.jar to start the MapReduce. Until today there are errors. Java
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
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
View code 1 Package Org. Apache. hadoop. examples; 2 3 Import Java. Io. file; 4 Import Java. Io. fileinputstream; 5 Import Java. Io. fileoutputstream; 6 Import Java. Io. ioexception; 7 Import Java.net. url; 8 Import Java.net. urlclassl
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