Java實現批量壓縮圖片 裁剪壓縮多種尺寸縮略圖 一鍵批量上傳圖片

10萬+IT人都在關注的圖片批量壓縮上傳方案(完整案例+代碼)

背景需求:爲了客戶端訪問圖片資源時,加載圖片更流暢,體驗更好,通常不會直接用原圖路徑,需要根據不同的場景顯示不同規格的縮略圖,根據商品關鍵屬性,能夠獲取到圖片不同尺寸規格的圖片路徑,並且能根據不同縮略圖直觀看到商品的關鍵屬性,需要寫一個Java小工具把本地磁盤中的圖片資源一鍵上傳至分佈式FastDFS文件服務器,並把圖片信息存入本地數據庫,PC端或者客戶端查詢商品時,就可以根據商品的業務屬性。比如根據productId就能把商品相關的不同尺寸規格的圖片都獲取到,頁面渲染圖片資源時,不同的場景,直接通過文件服務器的IP+存儲路徑,可以在線預覽。示例:商品id爲1001的主圖原圖1001.jpg,大小爲800×800(px),在本案例中解析爲1001-50×50.jpg,1001-100×100.jpg,1001-200×200.jpg,1001-400×400.jpg,解析後連同原圖就是5種尺寸規格的圖片。前端就能直觀的根據屏幕大小,業務場景等因素使用不同的圖片

實現思路:先把本地磁盤目錄中的所有圖片資源通過IO流讀出來,讀到內存中,然後對圖片的名稱根據定義好的業務規則解析,生成不同的圖片名,然後對原圖進行不同規格的解析壓縮處理,以及圖片資源的上傳和圖片信息的批量保存至數據庫。

常用的壓縮方案有下面2種:

方案一:對原圖進行按照指定存儲空間的壓縮,比如原圖100Kb,壓縮至10Kb

方案二:對原圖進行指定寬高大小的壓縮,比如原圖800*800,壓縮至100*100

準備工作:封裝一個文件流操作的通過工具類,如下:

package com.demo.utils;

import java.io.ByteArrayOutputStream;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;

import org.apache.tomcat.util.codec.binary.Base64;

/**
 * 創建時間:2019年3月13日 下午9:02:32
 * 項目名稱:shsc-batchUpload-server
 * 類說明:文件流工具類
 * @author guobinhui
 * @since JDK 1.8.0_51
 */
public class FileUtils {

    /* 
     * 讀取本地物理磁盤目錄裏的所有文件資源到程序內存 
     */ 
	public static List<File> readFiles(String fileDir) {
	File dirPath = new File(fileDir);
	//用listFiles()獲得子目錄和文件
	File[] files = dirPath.listFiles();
	List<File> list1 = new ArrayList<File>();
	for (int i = 0; i < files.length; i++) {
	  File file = files[i];
	  if (!file.isDirectory()) {
		list1.add(files[i]);
	   }
	}
	 System.out.println("目錄圖片數量爲:"+list1.size());
	 return list1;
	}
	
    /* 
     * File文件流轉爲Base64的字符串流
     * 注意:通過前端頁面上傳圖片時,用 MultipartFile文件流可以接收圖片並上傳,MultipartFile流有很豐富的方法
     * 本案例通過後臺小工具上傳,需要把圖片資源的文件流轉爲Base64格式的流纔可以上傳
     */ 
	public static String getBase64(File file) {
	FileInputStream fis = null;
	String base64String = null;
	try {
		fis = new FileInputStream(file);
		byte[] buff = new byte[fis.available()];
		fis.read(buff);
		base64String = Base64.encodeBase64String(buff);
	} catch (FileNotFoundException e) {
		// TODO Auto-generated catch block
		e.printStackTrace();
	} catch (IOException e) {
		// TODO Auto-generated catch block
		e.printStackTrace();
	}	finally{
		if(fis != null){
			try {
				fis.close();
			} catch (IOException e) {
				// TODO Auto-generated catch block
				e.printStackTrace();
			}
		}
	}
	return base64String;
	}
	
	/**
    * 將File文件流轉爲字節數組
    * @param file
    * @return
    */
    public static byte[] getByte(File file){
	byte[] bytes = null;
	try {
		FileInputStream fis = new FileInputStream(file);
		bytes = new byte[fis.available()];
		fis.read(bytes);
		fis.close();
	} catch (FileNotFoundException e) {
	   e.printStackTrace();
	} catch (IOException e) {
	   e.printStackTrace();
	}
	return bytes;
    }
   
   /**
    * 將字節輸出流寫到指定文件
    * @param os
    * @param file
    */
    public static void writeFile(ByteArrayOutputStream os, File file){
	FileOutputStream fos = null;
	try {
	   byte[] bytes = os.toByteArray();
	   if (file.exists()) {
		   file.delete();
	   }
	   fos = new FileOutputStream(file);
	   fos.write(bytes);
	} catch (FileNotFoundException e) {
	   e.printStackTrace();
	} catch (IOException e) {
	   e.printStackTrace();
	} finally {
		try {
		   fos.close();
		} catch (IOException e) {
		   e.printStackTrace();
		}
	}
    }
}

 封裝一個壓縮圖片處理類

package com.demo.mapper.entity;

import java.awt.Image;
import java.awt.geom.AffineTransform;
import java.awt.image.AffineTransformOp;
import java.awt.image.BufferedImage;
import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.InputStream;
import java.io.OutputStream;
import javax.imageio.ImageIO;

/**
 * 創建時間:2019年3月13日 下午3:35:05
 * 項目名稱:shsc-batchUpload-server
 * 類說明:圖片壓縮處理類
 * @author guobinhui
 * @since JDK 1.8.0_51
 */
public class ImgCompress {

    private Image img;  
    private int width;  
    private int height;
   
    /** 
     * 構造函數 
     */  
    public ImgCompress(String filePath) throws IOException {  
        File file = new File(filePath);// 讀入文件  
        img = ImageIO.read(file);      // 構造Image對象  
        width = img.getWidth(null);    // 得到源圖寬  
        height = img.getHeight(null);  // 得到源圖長  
    }  
	public Image getImg() {
		return img;
	}
	public void setImg(Image img) {
		this.img = img;
	}
	public int getWidth() {
		return width;
	}
	public void setWidth(int width) {
		this.width = width;
	}
	public int getHeight() {
		return height;
	}
	public void setHeight(int height) {
		this.height = height;
	}
    public void reSize(int w, int h,File file,String dir) throws IOException {  
        // SCALE_SMOOTH 的縮略算法 生成縮略圖片的平滑度的 優先級比速度高 生成的圖片質量比較好,但是速度慢  
         BufferedImage tag = new BufferedImage(50,50,BufferedImage.TYPE_INT_RGB );
	Image img = ImageIO.read(file);
	Image image = img.getScaledInstance(w, h, Image.SCALE_SMOOTH);
	tag.getGraphics().drawImage(image,50, 50, null); // 繪製縮小後的圖  
	
	// 將輸入文件轉換爲字節數組
	byte[] bytes = FileUtils.getByte(file);
	// 構造輸入輸出字節流
	ByteArrayInputStream is = new ByteArrayInputStream(bytes);
	ByteArrayOutputStream os = new ByteArrayOutputStream();
	double rate = w/800;//縮放比率
	try {
	  // 處理圖片
	  zoomImage(is,os,rate);
	} catch (Exception e) {
	  e.printStackTrace();
	}
	// 將字節輸出流寫入文件
	FileUtils.writeFile(os,new File(dir+"/"+file.getName()));
    } 
   
   public  void zoomImage(InputStream is, OutputStream os,double Rate) throws Exception { 
     BufferedImage bufImg = ImageIO.read(is);
     AffineTransformOp ato = new AffineTransformOp(AffineTransform.getScaleInstance(Rate,Rate), null);
     BufferedImage bufferedImage = ato.filter(bufImg, null);
     ImageIO.write(bufferedImage, "jpg", os);
  }
}

方案一具體實現過程

package com.demo.controller;

import java.awt.Color;
import java.awt.Graphics;
import java.awt.Image;
import java.awt.image.BufferedImage;
import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;

import javax.imageio.ImageIO;

import org.apache.tomcat.util.codec.binary.Base64;
import org.springframework.beans.BeanUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.ResponseBody;
import org.springframework.web.bind.annotation.RestController;
import com.demo.mapper.entity.AttachmentModel;
import com.demo.mapper.entity.ImgCompress;
import com.demo.mapper.entity.ProductPic;
import com.demo.service.IFileService;
import com.demo.utils.FileUtils;
import com.shsc.framework.common.ResultInfo;

/**
 * 創建時間:2019年3月8日 下午3:03:56
 * 項目名稱:shsc-batchUpload-server
 * 類說明:圖片批量壓縮上傳
 * @author guobinhui
 * @since JDK 1.8.0_51
 */
@RestController
@RequestMapping(value="/file")
public class FileController {


@Autowired
private  IFileService fileServiceImpl;


@RequestMapping("/test")
@ResponseBody
public String test() {
  //原始圖片目錄
  String originalFileDir = "D:/pics/pic1";
  List <File> originalFileList = readFiles(originalFileDir);
  Iterator<File> it = originalFileList.iterator();
  //壓縮後的縮略圖目錄
  String thumbnailDir = "D:/uploadBaseDir/productPic/20190313/thumbnail";
  long startWrite = System.currentTimeMillis();
  while(it.hasNext()){
	File file = (File)it.next();
	try {
	  ImgCompress img = new ImgCompress(file.getPath());
	  img.reSize(50, 50, file, thumbnailDir);
	} catch (IOException e) {
	  // TODO Auto-generated catch block
	  e.printStackTrace();
	  return "上傳失敗!";
	}  	
   }
  long endWrite = System.currentTimeMillis();
  System.out.println("批量上傳文件共計耗時:" +(endWrite-startWrite)/1000+"秒" );	
return "<h1 style='color:red;'>批量上傳文件成功,非常棒,壓縮上傳文件總數量爲:"+num+",共計耗時"+(endWrite-startWrite)/1000+"秒</h1>";
  }  
}

最後在瀏覽器上訪問該接口或者把該接口放在main方法裏run,效果如下:

方案二具體實現過程

@RequestMapping("/upload")
@ResponseBody
public String upload(){
	//win環境原始文件目錄
	String originalFileDir = "D:/pics/pic1";
	System.out.println("讀磁盤文件開始");
	long startRead = System.currentTimeMillis();
	List <File> originalFileList = readFiles(originalFileDir);
	long endRead = System.currentTimeMillis();
	System.out.println("讀磁盤文件結束");
	System.out.println("讀取磁盤文件共計耗時:" +(endRead-startRead)+"毫秒" );	
	
	Iterator<File> it = originalFileList.iterator();
	System.out.println("壓縮拷貝文件開始");
	long startWrite = System.currentTimeMillis();
//	Integer size = 500;//每500個圖片批量插入一次
//	Integer i = 0;
	String productNumber = null;
	
	String thumbnailDir = "D:/uploadBaseDir/productPic/20190313/thumbnail";
	String base64 = null;
	String new50PicName = "";
	String new100PicName = "";
	String new200PicName = "";
	String new400PicName = "";
	List <ProductPic> picList = new ArrayList<ProductPic>();
	int picType;
	List <Integer> sizeList = new ArrayList<Integer>();
	sizeList.add(0,50);
	sizeList.add(1,100);
	sizeList.add(2,200);
	sizeList.add(3,400);
	
  while(it.hasNext()){
	File file = (File)it.next();
	System.out.println("原始文件路徑爲:"+file.getPath());
	String originalFileName= file.getName();
	String prefixName = originalFileName.substring(0,originalFileName.lastIndexOf("."));
	String ext = originalFileName.substring(originalFileName.lastIndexOf("."));
	
	byte[] buff = FileUtils.getByte(file);
	ByteArrayInputStream is = new ByteArrayInputStream(buff);
	ByteArrayOutputStream os = null;
	BufferedImage BI = null;
	base64 = getBase64(file);
	ResultInfo<?> r = fileServiceImpl.uploadBase64(base64,originalFileName);
	AttachmentModel att = (AttachmentModel)r.getData();
	if(originalFileName.indexOf('-') == -1) {
	  picType = 1;
	  productNumber = prefixName;
	}else {
	  picType = 2;
	  productNumber = originalFileName.substring(0,originalFileName.lastIndexOf("-"));
	}
	if(r.isSuccess()) {
	  ProductPic pic = new ProductPic();
	  BeanUtils.copyProperties(att, pic);
	  pic.getPicName();
	  pic.setProductId(productNumber);
	  pic.setPicType(picType);
	  picList.add(pic);
	}
	if(originalFileName.indexOf('-') == -1) {//不帶'-'的是商品主圖
	  productNumber = prefixName;
	  new50PicName = productNumber+'-'+ "50×50"+ext;
	  new100PicName = productNumber+'-'+ "100×100"+ext;
	  new200PicName = productNumber+'-'+ "200×200"+ext;
	  new400PicName = productNumber+'-'+ "400×400"+ext;
	}else {
	  productNumber = originalFileName.substring(0,originalFileName.lastIndexOf("-"));
	  new50PicName = originalFileName.substring(0,originalFileName.lastIndexOf("."))+'-'+ "50×50"+ext;
	  new100PicName = originalFileName.substring(0,originalFileName.lastIndexOf("."))+'-'+ "100×100"+ext;
	  new200PicName = originalFileName.substring(0,originalFileName.lastIndexOf("."))+'-'+ "200×200"+ext;
	  new400PicName = originalFileName.substring(0,originalFileName.lastIndexOf("."))+'-'+ "400×400"+ext;
	}
	
	try {
	  File f = null;
	  BI = ImageIO.read(is);
	  for (int i = 0; i < sizeList.size(); i++) {
		os = new ByteArrayOutputStream();
		Image image = BI.getScaledInstance(sizeList.get(i),sizeList.get(i), Image.SCALE_SMOOTH);
		BufferedImage tag = new BufferedImage(sizeList.get(i),sizeList.get(i),BufferedImage.TYPE_INT_RGB);
		Graphics g = tag.getGraphics();
		g.setColor(Color.RED);
		g.drawImage(image, 0, 0, null); //繪製處理後的圖
		g.dispose();
		ImageIO.write(tag, "jpg", os);
		if(sizeList.get(i) == 50) {
		  FileUtils.writeFile(os,new File(thumbnailDir+"/"+new50PicName));
		  f = new File(thumbnailDir+"/"+new50PicName);
		}else if(sizeList.get(i) == 100) {
		  FileUtils.writeFile(os,new File(thumbnailDir+"/"+new100PicName));
		  f = new File(thumbnailDir+"/"+new100PicName);
		}else if(sizeList.get(i) == 200) {
		  FileUtils.writeFile(os,new File(thumbnailDir+"/"+new200PicName));
		  f = new File(thumbnailDir+"/"+new200PicName);
		}else if(sizeList.get(i) == 400) {
		  FileUtils.writeFile(os,new File(thumbnailDir+"/"+new400PicName));
		  f = new File(thumbnailDir+"/"+new400PicName);
		}
		base64 = getBase64(f);
		ResultInfo<?> rr = fileServiceImpl.uploadBase64(base64,f.getName());
		if(rr.isSuccess()) {
			AttachmentModel atta = (AttachmentModel)rr.getData();
			if(atta.getPicName().indexOf('-') == -1) {//不帶'-'的是商品主圖
				picType = 1;
			}else if(atta.getPicName().indexOf("-1.") != -1
					|| atta.getPicName().indexOf("-2.") != -1
					|| atta.getPicName().indexOf("-3.") != -1
					|| atta.getPicName().indexOf("-4.") != -1) {
				picType = 2;
			}else if((atta.getPicName().indexOf("-1-") == -1
					||atta.getPicName().indexOf("-2-") == -1
					||atta.getPicName().indexOf("-3-") == -1
					||atta.getPicName().indexOf("-4-") == -1)
					&& atta.getPicName().indexOf("-") != -1) {
				picType = 3;
			}else {
				picType = 4;
			}
			ProductPic pic = new ProductPic();
			BeanUtils.copyProperties(atta, pic);
			pic.getPicName();
			pic.setProductId(productNumber);
			pic.setPicType(picType);
			picList.add(pic);
		}
	} 
	} catch (Exception e1) {
		// TODO Auto-generated catch block
		e1.printStackTrace();
	}
}
int num = fileServiceImpl.insertPics(picList);
if(num > 0) {
	long endWrite = System.currentTimeMillis();
	System.out.println("批量上傳文件共計耗時:" +(endWrite-startWrite)/1000+"秒" );	
	return "<h1 style='color:red;'>批量上傳文件成功,非常棒,壓縮上傳文件總數量爲:"+num+",共計耗時"+(endWrite-startWrite)/1000+"秒</h1>";
}
return "批量上傳文件失敗!";
}

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