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存储越困难，提取越容易

HDFS客户端操作---开发环境准备

步骤一：编译对应HadoopJar包，配置Hadoop变量

步骤二：创建Maven工程，导入pom依赖

<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>2.7.2</version>
  </dependency>
  <dependency>
   <groupId>org.apache.hadoop</groupId>
   <artifactId>hadoop-client</artifactId>
   <version>2.7.2</version>
  </dependency>
  <dependency>
   <groupId>org.apache.hadoop</groupId>
   <artifactId>hadoop-hdfs</artifactId>
   <version>2.7.2</version>
  </dependency>
</dependencies>

步骤三：创建日志文件

在resources目录下创建log4j.properties，输入如下信息

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

步骤四：创建HDFSClient类

public class HDFSClient{

@Test
public void testMkdirs() throws IOException, InterruptedException, URISyntaxException{
  
  // 1 获取文件系统
  Configuration configuration = new Configuration();

  // 2 连接集群
  FileSystem fs = FileSystem.get(new URI("hdfs://hadoop102:9000"), configuration, "zhutiansama");
  
  // 3 创建目录
  fs.mkdirs(new Path("/1108/daxian/banzhang"));
  
  // 4 关闭资源
  fs.close();
}
}