Apache CXF实战之五 压缩Web Service数据

本文链接：http://blog.csdn.net/kongxx/article/details/7530216

Apache CXF实战之一 Hello World Web Service

Apache CXF实战之二 集成Sping与Web容器

Apache CXF实战之三 传输Java对象

Apache CXF实战之四 构建RESTful Web Service

在现实应用中有些时候会有比较大的数据对象需要传输，或者在一个比较慢的网络环境下发布调用web service，此时可以通过压缩数据流的方式来减小数据包的大小，从而提高web service的性能。下面来看看怎样来做到这一点。

1. 首先模拟一个可以存放大数据的pojo对象，这个对象可以通过构造参数给定的size来模拟一个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接口类，和普通的接口定义没有什么区别。

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实现类

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. 测试类，这片文章使用了JUnit测试类来做测试。setUpBeforeClass方法用来启动Service, testGetBigData方法用来测试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());

上面两段代码就是告诉CXF使用压缩Interceptor来压缩和解压缩数据包。

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. 运行此unit test，可以在日志中看到数据包前后大小和内容。