Hadoop之HDFS客户端操作

1. HDFS 客户端环境准备

1.1 windows 平台搭建 hadoop 2.8.5

2. 创建Maven工程

# pom.xml
<dependencies>
      <dependency>
          <groupId>junit</groupId>
          <artifactId>junit</artifactId>
          <version>RELEASE</version>
      </dependency>
      <dependency>
          <groupId>org.apache.logging.log4j</groupId>
          <artifactId>log4j-core</artifactId>
          <version>2.8.2</version>
      </dependency>
      <dependency>
          <groupId>org.apache.hadoop</groupId>
          <artifactId>hadoop-common</artifactId>
          <version>2.8.5</version>
      </dependency>
      <dependency>
          <groupId>org.apache.hadoop</groupId>
          <artifactId>hadoop-client</artifactId>
          <version>2.8.5</version>
      </dependency>
      <dependency>
          <groupId>org.apache.hadoop</groupId>
          <artifactId>hadoop-hdfs</artifactId>
          <version>2.8.5</version>
      </dependency>
</dependencies>
<build>
    <plugins>
        <!--java 的编译版本 1.8-->
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <configuration>
                    <source>1.8</source>
                    <target>1.8</target>
                    <encoding>UTF-8</encoding>
                </configuration>
            </plugin>
      </plugins>
</build>

2.1 配置src/main/resources/log4j.properties

## 输出到控制台
log4j.rootLogger=INFO, stdout
log4j.appender.stdout=org.apache.log4j.ConsoleAppender
log4j.appender.stdout.layout=org.apache.log4j.PatternLayout
log4j.appender.stdout.layout.ConversionPattern=%d    %p    [%c] - %m%n

## 输出到文件
#log4j.appender.logfile=org.apache.log4j.FileAppender
#log4j.appender.logfile.File=target/spring.log
#log4j.appender.stdout.layout=org.apache.log4j.PatternLayout
#log4j.appender.stdout.layout.ConversionPattern=%d    %p    [%c] - %m%n

2.2 创建HDFSClient类

public class HDFSClient {

	public static void main(String[] args) {

		Configuration conf = new Configuration();
		// NameNode地址
		conf.set("fs.defaultFS", "hdfs://服务器IP地址:9000");

		try {
			// 1. 获取hdfs客户端对象
			FileSystem fs = FileSystem.get(conf);

			// 2. 在hdfs上创建路径
			fs.mkdirs(new Path("/0526/noodles"));

			// 3. 关闭资源
			fs.close();

			// 4. 程序结束
			System.out.println("操作结束==========");

		} catch (IOException e) {
			e.printStackTrace();
		}
	}
}

2.2.1 异常处理

• “Permission denied”

2.3 HDFSClient类（升级版）

import java.net.URI;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;

public class HDFSClient {

	public static void main(String[] args) throws Exception {

		Configuration conf = new Configuration();
		// 1. 获取hdfs客户端对象
		FileSystem fs = FileSystem.get(new URI("hdfs://服务器IP地址:9000"), conf, "root");

		// 2. 在hdfs上创建路径
		fs.mkdirs(new Path("/0526/test002"));

		// 3. 关闭资源
		fs.close();

		// 4. 程序结束
		System.out.println("操作结束==========");
	}
}

参考资料：

• Hadoop 之 HDFS
• Hadoop---在windows平台上搭建hadoop2.8
• windows安装hadoop2.8.4
• 搭建Hadoop客户端与Java访问HDFS集群