搭建一个web服务下载HDFS的文件

需求描述

为了能方便快速的获取HDFS中的文件,简单的搭建一个web服务提供下载很方便快速,而且在web服务器端不留临时文件,只做stream中转,效率相当高!

使用的框架是SpringMVC+HDFS API

关键代码

@Controller
@RequestMapping("/file")
public class FileDownloadController { private static final String BASE_DIR = "/user/app/dump/";
@RequestMapping(value = "/download/{filename}", method = RequestMethod.GET)
@ResponseBody
public void fileDownload(@PathVariable("filename") String fileName, HttpServletRequest request, HttpServletResponse response) {
try {
response.setContentType("application/octet-stream; charset=utf-8");
response.addHeader("Content-Disposition", "attachment; filename=" + URLEncoder.encode(fileName + ".csv", "UTF-8"));
String path = BASE_DIR + fileName;
HdfsUtils.copyFileAsStream(path, response.getOutputStream());
} catch (Exception e) {
e.printStackTrace();
}
}
}
  • 加载要下载的文件都在 /user/app/dump/这个目录下
  • 下载路径 http://ip:port/file/download/xxxfile

HdfsUtils.copyFileAsStream 实现

public class HdfsUtils {
private static FileSystem hdfs = null;
static {
URL.setURLStreamHandlerFactory(new FsUrlStreamHandlerFactory());
Configuration conf=new Configuration();
try {
hdfs = FileSystem.get(URI.create("hdfs://xxxxxxx"), conf, "app");
} catch (Exception e) {
e.printStackTrace();
}
} public static void copyFileAsStream(String fpath, OutputStream out) throws IOException, InterruptedException {
org.apache.hadoop.fs.Path path = new org.apache.hadoop.fs.Path(fpath);
FSDataInputStream fsInput = hdfs.open(path);
IOUtils.copyBytes(fsInput, out, 4096, false);
fsInput.close();
out.flush();
}
}

是不是非常简单? HDFS的文件流没落在web服务上,而是直接copy到了浏览器的OutputStream上

更进一步提升性能,压缩

修改 web端的代码, 用zip进行压缩,默认的压缩比例是1:5,大大减少了流在网络上传输量

@Controller
@RequestMapping("/file")
public class FileDownloadController {
private static final String BASE_DIR = "/user/app/dump/"; @RequestMapping(value = "/download/zip/{filename}", method = RequestMethod.GET)
@ResponseBody
public void hdfsDownload2(@PathVariable("filename") String fileName, HttpServletRequest request, HttpServletResponse response) {
try {
response.setContentType("application/octet-stream; charset=utf-8");
response.setHeader("Content-Disposition", "attachment; filename=" + URLEncoder.encode(fileName + ".zip", "UTF-8")); ZipOutputStream zipOut = null;
try {
zipOut = new ZipOutputStream(new BufferedOutputStream(response.getOutputStream()));
zipOut.putNextEntry(new ZipEntry(fileName + ".csv"));
} catch (Exception e) {
e.printStackTrace();
}
String path = BASE_DIR + fileName;
HdfsUtils.copyFileAsStream(path, zipOut);
zipOut.close();
} catch (Exception e) {
e.printStackTrace();
}
}
}

一些用的主要jar版本

<properties>
<spring.version>4.2.5.RELEASE</spring.version>
<hadoop.version>2.7.0</hadoop.version>
</properties> <dependencies>
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-web</artifactId>
<version>${spring.version}</version>
</dependency>
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-webmvc</artifactId>
<version>${spring.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>${hadoop.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>${hadoop.version}</version>
</dependency>
</dependencies>
上一篇:自学Python1.8-python input/print用法 格式化输出


下一篇:python实现socket上传下载文件-进度条显示