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今天小编给大家分享一下怎么利用Java连接Hadoop进行编程的相关知识点，内容详细，逻辑清晰，相信大部分人都还太了解这方面的知识，所以分享这篇文章给大家参考一下，希望大家阅读完这篇文章后有所收获，下面我们一起来了解一下吧。
hadoop版本：3.3.2
jdk版本：1.8
hadoop安装系统：ubuntu18.04
编程环境：IDEA
编程主机：windows
创建maven工程，引入以下依赖：
<dependency> <groupId>org.testng</groupId> <artifactId>testng</artifactId> <version>RELEASE</version> <scope>compile</scope> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-common</artifactId> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-hdfs</artifactId> <version>3.3.2</version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-common</artifactId> <version>3.3.2</version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-core</artifactId> <version>1.2.1</version> </dependency>
虚拟机的/etc/hosts配置
hdfs-site.xml配置
<configuration> <property> <name>dfs.replication</name> <value>1</value> </property> <property> <name>dfs.namenode.name.dir</name> <value>file:/root/rDesk/hadoop-3.3.2/tmp/dfs/name</value> </property> <property> <name>dfs.datanode.http.address</name> <value>VM-12-11-ubuntu:50010</value> </property> <property> <name>dfs.client.use.datanode.hostname</name> <value>true</value> </property> <property> <name>dfs.datanode.data.dir</name> <value>file:/root/rDesk/hadoop-3.3.2/tmp/dfs/data</value> </property> </configuration>
core-site.xml配置
<configuration> <property> <name>hadoop.tmp.dir</name> <value>file:/root/rDesk/hadoop-3.3.2/tmp</value> <description>Abase for other temporary directories.</description> </property> <property> <name>fs.defaultFS</name> <value>hdfs://VM-12-11-ubuntu:9000</value> </property> </configuration>
启动hadoop
sbin/start-dfs.sh
主机的hosts（C:\Windows\System32\drivers\etc）文件配置
尝试连接到虚拟机的hadoop并读取文件内容，这里我读取hdfs下的/root/iinput文件内容
Java代码：
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FSDataInputStream;
import org.apache.hadoop.fs.FileStatus;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hdfs.DistributedFileSystem;
public class TestConnectHadoop {
public static void main(String[] args) throws Exception {
String hostname = "VM-12-11-ubuntu";
String HDFS_PATH = "hdfs://" + hostname + ":9000";
Configuration conf = new Configuration();
conf.set("fs.defaultFS", HDFS_PATH);
conf.set("fs.hdfs.impl", DistributedFileSystem.class.getName());
conf.set("dfs.client.use.datanode.hostname", "true");
FileSystem fs = FileSystem.get(conf);
FileStatus[] fileStatuses = fs.listStatus(new Path("/"));
for (FileStatus fileStatus : fileStatuses) {
System.out.println(fileStatus.toString());
}
FileStatus fileStatus = fs.getFileStatus(new Path("/root/iinput"));
System.out.println(fileStatus.getOwner());
System.out.println(fileStatus.getGroup());
System.out.println(fileStatus.getPath());
FSDataInputStream open = fs.open(fileStatus.getPath());
byte[] buf = new byte[1024];
int n = -1;
StringBuilder sb = new StringBuilder();
while ((n = open.read(buf)) > 0) {
sb.append(new String(buf, 0, n));
}
System.out.println(sb);
}
}运行结果：
编程实现一个类“MyFSDataInputStream”，该类继承“org.apache.hadoop.fs.FSDataInputStream",要求如下： ①实现按行读取HDFS中指定文件的方法”readLine（）“，如果读到文件末尾，则返回为空，否则返回文件一行的文本
思路：emmm我的思路比较简单，只适用于该要求，仅作参考。
将所有的数据读取出来存储起来，然后根据换行符进行拆分，将拆分的字符串数组存储起来，用于readline返回
Java代码
import org.apache.hadoop.fs.FSDataInputStream;
import java.io.IOException;
import java.io.InputStream;
public class MyFSDataInputStream extends FSDataInputStream {
private String data = null;
private String[] lines = null;
private int count = 0;
private FSDataInputStream in;
public MyFSDataInputStream(InputStream in) throws IOException {
super(in);
this.in = (FSDataInputStream) in;
init();
}
private void init() throws IOException {
byte[] buf = new byte[1024];
int n = -1;
StringBuilder sb = new StringBuilder();
while ((n = this.in.read(buf)) > 0) {
sb.append(new String(buf, 0, n));
}
data = sb.toString();
lines = data.split("\n");
}
/**
* 实现按行读取HDFS中指定文件的方法”readLine（）“，如果读到文件末尾，则返回为空，否则返回文件一行的文本
*/
public String read_line() {
return count < lines.length ? lines[count++] : null;
}
}测试类：
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FSDataInputStream;
import org.apache.hadoop.fs.FileStatus;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hdfs.DistributedFileSystem;
public class TestConnectHadoop {
public static void main(String[] args) throws Exception {
String hostname = "VM-12-11-ubuntu";
String HDFS_PATH = "hdfs://" + hostname + ":9000";
Configuration conf = new Configuration();
conf.set("fs.defaultFS", HDFS_PATH);
conf.set("fs.hdfs.impl", DistributedFileSystem.class.getName());
conf.set("dfs.client.use.datanode.hostname", "true");
FileSystem fs = FileSystem.get(conf);
FileStatus fileStatus = fs.getFileStatus(new Path("/root/iinput"));
System.out.println(fileStatus.getOwner());
System.out.println(fileStatus.getGroup());
System.out.println(fileStatus.getPath());
FSDataInputStream open = fs.open(fileStatus.getPath());
MyFSDataInputStream myFSDataInputStream = new MyFSDataInputStream(open);
String line = null;
int count = 0;
while ((line = myFSDataInputStream.read_line()) != null ) {
System.out.printf("line %d is: %s\n", count++, line);
}
System.out.println("end");
}
}运行结果：
②实现缓存功能，即利用”MyFSDataInputStream“读取若干字节数据时，首先查找缓存，如果缓存中有所需要数据，则直接由缓存提供，否则从HDFS中读取数据
import org.apache.hadoop.fs.FSDataInputStream;
import java.io.BufferedInputStream;
import java.io.IOException;
import java.io.InputStream;
public class MyFSDataInputStream extends FSDataInputStream {
private BufferedInputStream buffer;
private String[] lines = null;
private int count = 0;
private FSDataInputStream in;
public MyFSDataInputStream(InputStream in) throws IOException {
super(in);
this.in = (FSDataInputStream) in;
init();
}
private void init() throws IOException {
byte[] buf = new byte[1024];
int n = -1;
StringBuilder sb = new StringBuilder();
while ((n = this.in.read(buf)) > 0) {
sb.append(new String(buf, 0, n));
}
//缓存数据读取
buffer = new BufferedInputStream(this.in);
lines = sb.toString().split("\n");
}
/**
* 实现按行读取HDFS中指定文件的方法”readLine（）“，如果读到文件末尾，则返回为空，否则返回文件一行的文本
*/
public String read_line() {
return count < lines.length ? lines[count++] : null;
}
@Override
public int read() throws IOException {
return this.buffer.read();
}
public int readWithBuf(byte[] buf, int offset, int len) throws IOException {
return this.buffer.read(buf, offset, len);
}
public int readWithBuf(byte[] buf) throws IOException {
return this.buffer.read(buf);
}
}以上就是“怎么利用Java连接Hadoop进行编程”这篇文章的所有内容，感谢各位的阅读！相信大家阅读完这篇文章都有很大的收获，小编每天都会为大家更新不同的知识，如果还想学习更多的知识，请关注亿速云行业资讯频道。
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