利用Java连接Hadoop进行编程
作者:wr456wr
这篇文章主要介绍了利用Java连接Hadoop进行编程,文章围绕主题展开详细的内容介绍,具有一定的参考价值,感兴趣的小伙伴可以参考一下
实验环境
- 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
实验内容
测试Java远程连接hadoop
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); } }
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