java and hadoop

:# The JAVA Implementation to use. required.Export java_home =/usr/ALI/jdk1.5.0 _ 10 To configure your Java path, remember to use version 1.5 or later to avoid any problems.Configure the IP address or machine name of the master in the master. If it is a machine name, you need to set it in/etc/hosts. The server Load balancer instance is configured with the Server Load balancer IP address or machine name. If

/etc/hadoop/ 2. Configure hadoop Java environment variables $ Vim hadoop-env.sh modify the following row export java_home =/usr/local/jdk1.7.0 _ 60 test method $ hadoop version if the output is as follows, hadoop 2.0.0-cdh4.7.0sub

Chapter 2 mapreduce IntroductionAn ideal part size is usually the size of an HDFS block. The execution node of the map task and the storage node of the input data are the same node, and the hadoop performance is optimal (Data Locality optimization, avoid data transmission over the network ). Mapreduce Process summary: reads a row of data from a file, map function processing, Return key-value pairs; the system sorts the map results. If there are multi

The compilation process is very long, the mistakes are endless, need patience and patience!! 1. Preparation of the environment and software Operating system: Centos6.4 64-bit JDK:JDK-7U80-LINUX-X64.RPM, do not use 1.8 Maven:apache-maven-3.3.3-bin.tar.gz protobuf:protobuf-2.5.0.tar.gz Note: Google's products, preferably in advance Baidu prepared this document Hadoop src:hadoop-2.5

the Hadoop platform, inspired by the BSP (bulk synchronous parallel) and Google Pregel. Apache Oozie: is a workflow engine server that manages and coordinates the tasks that run on the Hadoop platform (HDFS, pig, and MapReduce). Apache Crunch: Is a Java library written based on Google's Flumejava library for creating MapReduce programs. Similar to Hive,pig,

the host name that I customized in "C: \ windows \ system32 \ drivers \ etc \ hosts:　　　　218.195.250.80 master If the following "DFS locations" is displayed in eclipse, it means that eclipse has successfully connected to remote hadoop (Note: Do not forget to switch your view to the map/reduce view, instead of the default Java view ):　　 3. Now let's test the maxtemperature example program in the

maxtemperaturemapper.java-d.Other classes, note that first compile the lowest class, compile the completed class file in the Java program's package pathg) # JAR-CVF Maxtemperature.jar org #打成jar包h) # JAR-TVF Maxtemperature.jar #查看jar包目录结构i) # Hadoop jar Maxtemperature.jar org/hadoop/ncdc/maxtemperature INPUT/NCDC OUTPUT/NCDC #运行jar包

VMware has installed Multiple RedHatLinux operating systems, excerpted a lot of online materials, and installed them in order? 1. Create groupaddbigdatauseradd-gbigdatahadooppasswdhadoop? 2. Create JDKvietcprofile? ExportJAVA_HOMEusrlibjava-1.7.0_07exportCLASSPATH. VMware has installed Multiple RedHat Linux operating systems, excerpted a lot of online materials, and installed them in order? 1. Create groupadd bigdata useradd-g bigdata hadoop passwd

the hadoop user.Add the following content under root ALL = (ALL: ALL) ALL:Hadoop ALL = (ALL: ALL) ALL 3Install JDK in UbuntuConfigure environment variables:$ Sudo gedit/etc/profileAdd the following content at the end of the file to save and close the file.# For javaExport JAVA_HOME =/Usr/lib/jvm/jdk1.8.0Export JRE_HOME =$ {JAVA_HOME}/jreExport CLASSPATH =. :$ {JAVA_HOME}/lib :$ {JRE_HOME}/libExport PATH =$ {JAVA_HOME}/bin :$ {JRE_HOME}/bin: $ PATHMa

Word count is one of the simplest and most well-thought-capable programs, known as the MapReduce version of "Hello World", and the complete code for the program can be found in the Src/example directory of the Hadoop installation package. The main function of Word counting: count the number of occurrences of each word in a series of text files, as shown in. This blog will be through the analysis of WordCount source code to help you to ascertain the ba

Install and deploy Apache Hadoop 2.6.0 Note: For this document, refer to the official documentation for the original article. 1. hardware environment There are three machines in total, all of which use the linux system. Java uses jdk1.6.0. The configuration is as follows:Hadoop1.example.com: 172.20.115.1 (NameNode)Hadoop2.example.com: 172.20.1152 (DataNode)Hadoop3.example.com: 172.115.20.3 (DataNode)Hadoop4

}"/sbin/start-yarn.sh ]; then "${HADOOP_YARN_HOME}"/sbin/start-yarn.sh --config $HADOOP_CONF_DIRfi After the execution is complete, call jps to check whether all services have been started: 2014-07-21 22:05:21, 064 INFO org. apache. hadoop. hdfs. server. common. storage: Lock on/usr/local/gz/hadoop-2.4.1/dfs/data/in_use.lock acquired by nodename 3312 @ ubuntu2014-07-21 22:05:21, 075 FATAL org. apache.

on Master$CD/home/hadoop/.ssh$cat id_rsa.pub >> authorized_keys_s1 Add a local key authorized_keys_s1$ authorized_keys_s2 >> authorized_keys_s1$CP authorized_keys_s1 Authorized_keys$RM –RF authorized_keys_s1 Authorized_keys_s21.5 Login with root, install JDK (on master, Slave1 and Slave2)#yum Install Java-1.6.0-openjdk-develThis installation, Java executable fil

We all know that an address has a number of companies, this case will be two types of input files: address classes (addresses) and company class (companies) to do a one-to-many association query, get address name (for example: Beijing) and company name (for example: Beijing JD, Beijing Associated information for Red Star).Development environmentHardware environment: Centos 6.5 server 4 (one for master node, three for slave node)Software Environment: Java