1）直接返回DataSet对象
特点：通常组件化的处理机制，不加任何修饰及处理；
优点：代码精减、易于处理，小数据量处理较快；
缺点：大数据量的传递处理慢，消耗网络资源；
建议：当应用系统在内网、专网（局域网）的应用时，或外网（广域网）且数据量在KB级时的应用时，采用此种模式。
示例如下
[WebMethod(Description = "直接返回 DataSet 对象。")]
public DataSet GetNorthwindDataSet()
{
string sql = "SELECT * FROM XT_TEXT";
SqlConnection conn = new SqlConnection("Server=60.28.25.58;DataBase=s168593;user id=s168593;password=h0y FeC*;");
conn.Open();
SqlDataAdapter dataadapter = new SqlDataAdapter(sql, conn);
DataSet ds = new DataSet();
dataadapter.Fill(ds, "XT_TEXT");
conn.Close();
return ds;
}
客户程序调用方法：
Code [http://www.xueit.com]private void button1_Click(object sender, EventArgs e)
{
//com.dzbsoft.www是上面Web Service发布后的命名空间
com.dzbsoft.www.Service1 ds = new com.dzbsoft.www.Service1();
DateTime dtBegin = DateTime.Now;
DataSet dataSet = ds.GetNorthwindDataSet();
this.label1.Text = string.Format("耗时：{0}", DateTime.Now - dtBegin);
binddata(dataSet);
}
2） 返回DataSet对象用Binary序列化后的字节数组
特点：字节数组流的处理模式；
优点：易于处理，可以中文内容起到加密作用；
缺点：大数据量的传递处理慢，较消耗网络资源；
[WebMethod(Description = "返回 DataSet 对象用 Binary 序列化后的字节数组。")]
public byte[] GetDataSetBytes()
{
DataSet dataSet = GetNorthwindDataSet();
BinaryFormatter ser = new BinaryFormatter();
MemoryStream ms = new MemoryStream();
ser.Serialize(ms, dataSet);
byte[] buffer = ms.ToArray();
return buffer;
}
客户程序调用方法：
Code [http://www.xueit.com]private void button2_Click(object sender, EventArgs e)
{
com.dzbsoft.www.Service1 ds = new com.dzbsoft.www.Service1();
DateTime dtBegin = DateTime.Now;
byte[] buffer = ds.GetDataSetBytes();
BinaryFormatter ser = new BinaryFormatter();
DataSet dataSet = ser.Deserialize(new MemoryStream(buffer)) as DataSet;
this.label2.Text = string.Format("耗时：{0}", DateTime.Now - dtBegin) " " buffer.Length;
binddata(dataSet);
}
(3) 返回DataSetSurrogate对象用Binary序列化后的字节数组
特点：微软提供的开源组件；
下载地址：
http://support.microsoft.com/kb/829740/zh-cn
优点：易于处理，可以中文内容起到加密作用；
缺点：大数据量的传递处理慢，较消耗网络资源； 示例如下：
[WebMethod(Description = "返回 DataSetSurrogate 对象用 Binary 序列化后的字节数组。")]
public byte[] GetDataSetSurrogateBytes()
{
DataSet dataSet = GetNorthwindDataSet();
DataSetSurrogate dss = new DataSetSurrogate(dataSet);
BinaryFormatter ser = new BinaryFormatter();
MemoryStream ms = new MemoryStream();
ser.Serialize(ms, dss);
byte[] buffer = ms.ToArray();
return buffer;
}
客户程序调用方法：
Code [http://www.xueit.com] 1 private void button3_Click(object sender, EventArgs e)
{
com.dzbsoft.www.Service1 ds = new com.dzbsoft.www.Service1();
DateTime dtBegin = DateTime.Now;
byte[] buffer = ds.GetDataSetSurrogateBytes();
BinaryFormatter ser = new BinaryFormatter();
DataSetSurrogate dss = ser.Deserialize(new MemoryStream(buffer)) as DataSetSurrogate;
DataSet dataSet = dss.ConvertToDataSet();
this.label3.Text = string.Format("耗时：{0}", DateTime.Now - dtBegin) " " buffer.Length;
binddata(dataSet);
(4)返回DataSetSurrogate对象用Binary序列化并Zip压缩后的字节数组
特点：对字节流数组进行压缩后传递； 优点：当数据量大时，性能提高效果明显，压缩比例大； 缺点：相比第三方组件，压缩比例还有待提高； 建议：当系统需要进行大数据量网络数据传递时，建议采用此种可靠、高效、免费的方法
客户端UnZipClass程序
public static class UnZipClass
{
public static byte[] Decompress(byte[] data)
{
try
{
MemoryStream ms = new MemoryStream(data);
Stream zipStream = null;
zipStream = new GZipStream(ms, CompressionMode.Decompress);
byte[] dc_data = null;
dc_data = ExtractBytesFromStream(zipStream, data.Length);
return dc_data;
}
catch
{
return null;
}
}
public static byte[] ExtractBytesFromStream(Stream zipStream, int dataBlock)
{
byte[] data = null;
int totalBytesRead = 0;
try
{
while (true)
{
Array.Resize(ref data, totalBytesRead dataBlock 1);
int bytesRead = zipStream.Read(data, totalBytesRead, dataBlock);
if (bytesRead == 0)
{
break;
}
totalBytesRead = bytesRead;
}
Array.Resize(ref data, totalBytesRead);
return data;
}
catch
{
return null;
}
}
}
以上为提高WebService性能大数据量网络传输处理的方法
[WebMethod(Description = "返回 DataSetSurrogate 对象用 Binary 序列化并 Zip 压缩后的字节数组。")]
public byte[] GetDataSetSurrogateZipBytes()
{
DataSet dataSet = GetNorthwindDataSet();
DataSetSurrogate dss = new DataSetSurrogate(dataSet);
BinaryFormatter ser = new BinaryFormatter();
MemoryStream ms = new MemoryStream();
ser.Serialize(ms, dss);
byte[] buffer = ms.ToArray();
byte[] zipBuffer = Compress(buffer);
return zipBuffer;
}
public byte[] Compress(byte[] data)
{
try
{
MemoryStream ms = new MemoryStream();
Stream zipStream = null;
zipStream = new GZipStream(ms, CompressionMode.Compress, true);
zipStream.Write(data, 0, data.Length);
zipStream.Close();
ms.Position = 0;
byte[] compressed_data = new byte[ms.Length];
ms.Read(compressed_data, 0, int.Parse(ms.Length.ToString()));
return compressed_data;
}
catch
{
return null;
}
}
}
客户程序调用方法
private void button4_Click(object sender, EventArgs e)
{
com.dzbsoft.www.Service1 ds = new com.dzbsoft.www.Service1();
DateTime dtBegin = DateTime.Now;
byte[] zipBuffer = ds.GetDataSetSurrogateZipBytes();
byte[] buffer = UnZipClass.Decompress(zipBuffer);
BinaryFormatter ser = new BinaryFormatter();
DataSetSurrogate dss = ser.Deserialize(new MemoryStream(buffer)) as DataSetSurrogate;
DataSet dataSet = dss.ConvertToDataSet();
this.label4.Text = string.Format("耗时：{0}", DateTime.Now - dtBegin) " " zipBuffer.Length;
binddata(dataSet);
}
private void binddata(DataSet dataSet)
{
this.dataGridView1.DataSource = dataSet.Tables[0];
this.label5.Text = "共计：" dataSet.Tables[0].Rows.Count "条记录";
}
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