springboot整合hadoop
·
首先引入maven依赖
<!-- hadoop-->
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>3.1.4</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-hdfs</artifactId>
<version>3.1.4</version>
</dependency>
代码
package com.xiaowuqin.hdfs;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.springframework.stereotype.Component;
import java.io.IOException;
import java.net.URI;
import java.net.URISyntaxException;
@Component
public class HdfsClient {
//创建目录
private FileSystem fs;
public void init() throws URISyntaxException, IOException, InterruptedException {
URI uri = new URI("hdfs://hadoop102:8020");
Configuration configuration = new Configuration();
String user="root";
fs = FileSystem.get(uri, configuration,user);//获取一个客户端对象
}
public void makeDir(String dir) throws URISyntaxException, IOException, InterruptedException {
init();
Path path = new Path(dir);
fs.mkdirs(path);
fs.close();
}
//上传文件
public void putFile(String fileName,String to) throws InterruptedException, IOException, URISyntaxException {
init();
//第一个参数:上传后是否删除本地源文件
//第二个参数:是否允许覆盖
//第三个参数:源文件路径
//第四个参数: 目标文件路径
fs.copyFromLocalFile(false,true,
new Path(fileName),
new Path(to));
fs.close();
}
public void uploadAll() throws InterruptedException, IOException, URISyntaxException {
for(int i=1;i<=30;i++){
if(i<=9) {
String path="D:\\迅雷下载\\2018年数据可视分析挑战赛-挑战1-数据\\chinavis2018挑战一数据\\2017-11-0"+i;
String to="/BigWorks/2017-11-0" + i;
makeDir(to);
putFile(path+"\\checking.csv",to);
putFile(path+"\\email.csv",to);
putFile(path+"\\login.csv",to);
putFile(path+"\\tcpLog.csv",to);
putFile(path+"\\weblog.csv",to);
}else {
String path="D:\\迅雷下载\\2018年数据可视分析挑战赛-挑战1-数据\\chinavis2018挑战一数据\\2017-11-"+i;
String to="/BigWorks/2017-11-" + i;
makeDir(to);
putFile(path+"\\checking.csv",to);
putFile(path+"\\email.csv",to);
putFile(path+"\\login.csv",to);
putFile(path+"\\tcpLog.csv",to);
putFile(path+"\\weblog.csv",to);
}
}
}
}
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