a1158375969的专栏

目标:测试WordCount程序当前定位于$hadoop_home目录.1.将$hadoop_home/etc/core-site.xml上传到hdfs的/user/input下.bin/hdfs dfs -appendToFile /usr/hadoop/hadoop-2.7.2/etc/hadoop/core-site.xml /user/input/core-site.x

InputSplit Ref InputSplit represents the data to be processed by an individual Mapper. Typically, it presents a byte-oriented view(面向字节的视图) on the input and is the responsibility of RecordReader

Hadoop2.7.4 InputFormat总结:

确定dataDir, 创建目录, 分别创建myid文件.修改三份配置文件.启动三个服务器.#选定dataDir为/var/zoo#为3个节点创建dataDirmkdir -p /var/zoo/zk1mkdir -p /var/zoo/zk2mkdir -p /var/zoo/zk3#创建myid文件echo '1' >> /var/zoo/zk1/myidecho '...

import org.apache.zookeeper.*;import org.apache.zookeeper.data.ACL;import org.apache.zookeeper.data.Id;import org.apache.zookeeper.server.auth.DigestAuthenticationProvider;import java.io.IOExcept...

创建表create '<table name>', '<column family>', 'column family', ...create 'emp', 'personal data', 'professional data'列出所有表list#禁用一个表disable '<tableName>'disable 't1'启用一个表en...

安装3个CentOS系统.将工作模式设置为命令行模式vim /etc/inittab#设置id:5:initdefault为id:5:initdefault

# CentOS-Base.repo## The mirror system uses the connecting IP address of the client and the# update status of each mirror to pick mirrors that are updated to and# geographically close to the clien...

public class SimpleSink extends AbstractSink implements Configurable{ private static final Logger logger = LoggerFactory.getLogger(SimpleSink.class); @Override public synchronized void start() ...

RecordReader Ref The record reader breaks the data into key/value pairs for input to the Mapper.总结:

Hadoop2.7.4 API–Configuration 功能: 1. 提供了配置Hadoop参数的方法. 2. 可以选择”资源文件(Resource)“, “常量参数(Final Parameters)“, “变量表达式(Variable Expression)“三种方式配置Hadoop参数. 3. 使用conf.get([parameterName])方式获取参数. 4. 过期

/*The job submitter's view of the Job.It allows the user to configure the job, submit it, control its execution, and query the state. The set methods only work until the job is submitted, afterwards

程序基于Hadoop2.7.4开发, 可运行public class WordCount { public static class TokenizerMapper extends Mapper<Object, Text, Text, IntWritable>{ private final static IntWritable one = new IntWritable(1

程序基于Hadoop2.7.4开发, 可运行 天气数据请到ncdc或者hadoop权威指南书籍网站获取.public class MaxTemperature { public static class MaxTemperatureMapper extends Mapper<Object, Text, Text, IntWritable> { //天气温度9999,代

The fundamental idea of YARN is to split up the functionalities of resource management and job scheduling/monitoring into separate daemons. The idea is to have a global ResourceManager (RM) and per-app

组件关系图(from hadoop yarn home): Container At the fundamental level, a container is a collection of physical resources such as RAM, CPU cores, and disks on a single node. There can be multiple containe

代码基于Hadoop2.7.4 org.apache.hadoop.fs.FileSystem Ref An abstract base class for a fairly generic filesystem. It may be implemented as a distributed filesystem, or as a “local” one that reflects t

环境: 1. Ideal 2016 2. Hadoop 2.7.4由于hadoop较大, 我直接添加本地依赖: 对于较小的jar包, 我选择使用maven仓库: pom.xml<dependencies> <!-- https://mvnrepository.com/artifact/commons-logging/commons-logging --> <dep

This class stores text using standard UTF8 encoding. It provides methods to serialize, deserialize, and compare texts at byte level. The type of length is integer and is serialized using zero-compresse

package com.urun.flume.commons;import java.io.FileInputStream;import java.io.IOException;import java.util.zip.GZIPInputStream;public class App { public static void main(String[] args) throws I...