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如何壓縮Web Service數(shù)據(jù)

時(shí)間:2024-07-15 09:39:16 J2EE培訓(xùn) 我要投稿
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如何壓縮Web Service數(shù)據(jù)

  在現(xiàn)實(shí)應(yīng)用中有些時(shí)候會(huì)有比較大的數(shù)據(jù)對(duì)象需要傳輸,或者在一個(gè)比較慢的網(wǎng)絡(luò)環(huán)境下發(fā)布調(diào)用web service,此時(shí)可以通過壓縮數(shù)據(jù)流的方式來減小數(shù)據(jù)包的大小,從而提高web service的性能。下面yjbys小編為大家準(zhǔn)備了關(guān)于如何壓縮Web Service數(shù)據(jù)的文章,歡迎閱讀。

  1. 首先模擬一個(gè)可以存放大數(shù)據(jù)的pojo對(duì)象,這個(gè)對(duì)象可以通過構(gòu)造參數(shù)給定的size來模擬一個(gè)size大小的字符串。

  package com.googlecode.garbagecan.cxfstudy.compress;

  public class BigData {

  private String name;

  private String data;

  public BigData() {

  }

  public BigData(String name, int size) {

  this.name = name;

  StringBuilder sb = new StringBuilder();

  for (int i = 0; i < size; i++) {

  sb.append("0");

  }

  this.data = sb.toString();

  }

  public String getName() {

  return name;

  }

  public void setName(String name) {

  this.name = name;

  }

  public String getData() {

  return data;

  }

  public void setData(String data) {

  this.data = data;

  }

  }

  2. Web Service接口類,和普通的接口定義沒有什么區(qū)別。

  package com.googlecode.garbagecan.cxfstudy.compress;

  import javax.jws.WebMethod;

  import javax.jws.WebParam;

  import javax.jws.WebResult;

  import javax.jws.WebService;

  @WebService

  public interface BigDataService {

  @WebMethod

  @WebResult BigData getBigData(@WebParam String name, @WebParam int size);

  }

  3. Web Service實(shí)現(xiàn)類

  package com.googlecode.garbagecan.cxfstudy.compress;

  public class BigDataServiceImpl implements BigDataService {

  public BigData getBigData(String name, int size) {

  BigData bigData = new BigData(name, size);

  return bigData;

  }

  }

  4. 測(cè)試類,這片文章使用了JUnit測(cè)試類來做測(cè)試。setUpBeforeClass方法用來啟動(dòng)Service, testGetBigData方法用來測(cè)試web service。

  注意setUpBeforeClass方法中的

  factoryBean.getInInterceptors().add(new GZIPInInterceptor());

  factoryBean.getOutInterceptors().add(new GZIPOutInterceptor());

  和testGetBigData方法中的

  endpoint.getInInterceptors().add(new GZIPInInterceptor());

  endpoint.getOutInterceptors().add(new GZIPOutInterceptor());

  上面兩段代碼就是告訴CXF使用壓縮Interceptor來壓縮和解壓縮數(shù)據(jù)包。

  package com.googlecode.garbagecan.cxfstudy.compress;

  import org.apache.cxf.endpoint.Client;

  import org.apache.cxf.endpoint.Endpoint;

  import org.apache.cxf.frontend.ClientProxy;

  import org.apache.cxf.interceptor.LoggingInInterceptor;

  import org.apache.cxf.interceptor.LoggingOutInterceptor;

  import org.apache.cxf.jaxws.JaxWsProxyFactoryBean;

  import org.apache.cxf.jaxws.JaxWsServerFactoryBean;

  import org.apache.cxf.transport.http.gzip.GZIPInInterceptor;

  import org.apache.cxf.transport.http.gzip.GZIPOutInterceptor;

  import org.junit.Assert;

  import org.junit.BeforeClass;

  import org.junit.Test;

  public class BigDataServiceTest {

  private static final String address = "http://localhost:9000/ws/compress/bigDataService";

  @BeforeClass

  public static void setUpBeforeClass() throws Exception {

  JaxWsServerFactoryBean factoryBean = new JaxWsServerFactoryBean();

  factoryBean.getInInterceptors().add(new LoggingInInterceptor());

  factoryBean.getOutInterceptors().add(new LoggingOutInterceptor());

  factoryBean.getInInterceptors().add(new GZIPInInterceptor());

  factoryBean.getOutInterceptors().add(new GZIPOutInterceptor());

  factoryBean.setServiceClass(BigDataServiceImpl.class);

  factoryBean.setAddress(address);

  factoryBean.create();

  }

  @Test

  public void testGetBigData() {

  JaxWsProxyFactoryBean factoryBean = new JaxWsProxyFactoryBean();

  factoryBean.setAddress(address);

  factoryBean.setServiceClass(BigDataService.class);

  Object obj = factoryBean.create();

  Client client = ClientProxy.getClient(obj);

  Endpoint endpoint = client.getEndpoint();

  endpoint.getInInterceptors().add(new GZIPInInterceptor());

  endpoint.getOutInterceptors().add(new GZIPOutInterceptor());

  BigDataService service = (BigDataService) obj;

  Assert.assertNotNull(service);

  String name = "my big data";

  int size = 1024 * 1024 * 10;

  long start = System.currentTimeMillis();

  BigData bigData = service.getBigData(name, size);

  long stop = System.currentTimeMillis();

  System.out.println("Time: " + (stop - start));

  Assert.assertNotNull(bigData);

  Assert.assertEquals(name, bigData.getName());

  Assert.assertEquals(size, bigData.getData().length());

  }

  }

  5. 運(yùn)行此unit test,可以在日志中看到數(shù)據(jù)包前后大小和內(nèi)容。

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