使用hbase处理图像，视频和音频类型

本文介绍了使用hbase处理图像，视频和音频类型的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

任何人有任何想法，如何处理非结构化数据，如音频，视频和图像使用Hbase.I尝试了很多，但我没有得到任何idea.please任何帮助表示赞赏。$ b $选项1：将图像转换为字节数组，您可以准备放入请求并插入到表格中。同样的音频和视频文件也可以实现。

请参阅

  import javax.imageio.ImageIO ; 
 $ b $ * * *将图像转换为字节数组
 * / 
 private byte [] convertImageToByteArray（String ImageName）throws IOException {
 
 byte [ ] imageInByte; 
 BufferedImage originalImage = ImageIO.read（new File（ImageName））; 
 
 //将BufferedImage转换为字节数组
 ByteArrayOutputStream baos = new ByteArrayOutputStream（）; 
 ImageIO.write（originalImage，jpg，baos）; 
 imageInByte = baos.toByteArray（）; 
 baos.close（）; 
 
 return imageInByte; 
}

选项2：您可以做以下面的方式使用Apache 可能这是最好的选择比以上将适用于包括图像/音频/视频等所有对象。这可以不仅用于hbase你可以保存在hdfs以及

请参阅我的更多细节。

例如： byte [] mediaInBytes = org.apache.commons.lang.SerializationUtils.serialize（Serializable obj）

对于反序列化，您可以这样做 static Object deserialize（byte [] objectData）

请参阅上述链接中的文档。

`SerializationUtils`

  import java.io.FileInputStr EAM; 
 import java.io.FileOutputStream; 
 
 import org.apache.commons.lang.SerializationUtils; 
 
 public class SerializationUtilsTest {
 public static void main（String [] args）{
 try {
 //序列化对象的文件可以是您的图片或任何媒体文件
 String fileName =testSerialization.ser; 
 
 //文件的新文件输出流
 FileOutputStream fos = new FileOutputStream（fileName）; 
 
 //序列化字符串
 SerializationUtils.serialize（SERIALIZE THIS，fos）; 
 fos.close（）; 
 
 //将FileInputStream打开到文件
 FileInputStream fis = new FileInputStream（fileName）; 
 
 //反序列化并转换为字符串
 String ser =（String）SerializationUtils.deserialize（fis）; 
 System.out.println（ser）; 
 fis.close（）; 
} catch（Exception e）{
 e.printStackTrace（）; 
} 
} 
}

注意：jar of apache commons lang始终在hadoop集群中可用（ not external dependency ）

Anybody have any idea about,How to handle unstructured data like Audio,Video and Images using Hbase.I tried for this alot but i didn't get any idea.please any help is appreciated.

解决方案

Option 1: convert image to byte array and you can prepare put request and insert to table. Similarly audio and video files also can be achieved.

See https://docs.oracle.com/javase/7/docs/api/javax/imageio/package-summary.html

import javax.imageio.ImageIO;

/*       * Convert an image to a byte array
         */
    private byte[] convertImageToByteArray (String ImageName)throws IOException {

        byte[] imageInByte;
        BufferedImage originalImage = ImageIO.read(new File(ImageName));

        // convert BufferedImage to byte array
        ByteArrayOutputStream baos = new ByteArrayOutputStream();
        ImageIO.write(originalImage, "jpg", baos);
        imageInByte = baos.toByteArray();
        baos.close();

        return imageInByte;
    }

Option 2 : You can do that in below way using Apache commons lang API. probably this is best option than above which will be applicable to all objects including image/audio/video etc.. This can be used NOT ONLY for hbase you can save it in hdfs as well

See my answer for more details.

For ex : byte[] mediaInBytes = org.apache.commons.lang.SerializationUtils.serialize(Serializable obj)

for deserializing, you can do this static Object deserialize(byte[] objectData)

see the doc in above link..

Example usage of the `SerializationUtils`

import java.io.FileInputStream;
import java.io.FileOutputStream;

import org.apache.commons.lang.SerializationUtils;

public class SerializationUtilsTest {
  public static void main(String[] args) {
    try {
      // File to serialize object to it can be your image or any media file
      String fileName = "testSerialization.ser";

      // New file output stream for the file
      FileOutputStream fos = new FileOutputStream(fileName);

      // Serialize String
      SerializationUtils.serialize("SERIALIZE THIS", fos);
      fos.close();

      // Open FileInputStream to the file
      FileInputStream fis = new FileInputStream(fileName);

      // Deserialize and cast into String
      String ser = (String) SerializationUtils.deserialize(fis);
      System.out.println(ser);
      fis.close();
    } catch (Exception e) {
      e.printStackTrace();
    }
  }
}

Note :jar of apache commons lang always available in hadoop cluster.(not external dependency)

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