怎样提高WebService性能大数据量网络传输处理
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。
代码
1 [WebMethod(Description = "直接返回 DataSet 对象。")]
2 public DataSet GetNorthwindDataSet()
3 {
4 string sql = "SELECT * FROM XT_TEXT";
5 SqlConnection conn = new SqlConnection("Server=60.28.25.58;DataBase=s168593;user id=s168593;password=h0y+FeC*;");
6 conn.Open();
7 SqlDataAdapter dataadapter = new SqlDataAdapter(sql, conn);
8 DataSet ds = new DataSet();
9 dataadapter.Fill(ds, "XT_TEXT");
10 conn.Close();
11 return ds;
12 }
13
客户程序调用方法:
代码
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;
代码
[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:
代码
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;
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:
代码
1 [WebMethod(Description = "返回 DataSetSurrogate 对象用 Binary 序列化后的字节数组。")]
2 public byte[] GetDataSetSurrogateBytes()
3 {
4 DataSet dataSet = GetNorthwindDataSet();
5 DataSetSurrogate dss = new DataSetSurrogate(dataSet);
6 BinaryFormatter ser = new BinaryFormatter();
7 MemoryStream ms = new MemoryStream();
8 ser.Serialize(ms, dss);
9 byte[] buffer = ms.ToArray();
10 return buffer;
11 }
12
客户程序调用方法:
代码
1 private void button3_Click(object sender, EventArgs e)
2 {
3 com.dzbsoft.www.Service1 ds = new com.dzbsoft.www.Service1();
4 DateTime dtBegin = DateTime.Now;
5 byte[] buffer = ds.GetDataSetSurrogateBytes();
6 BinaryFormatter ser = new BinaryFormatter();
7 DataSetSurrogate dss = ser.Deserialize(new MemoryStream(buffer)) as DataSetSurrogate;
8 DataSet dataSet = dss.ConvertToDataSet();
9 this.label3.Text = string.Format("耗时:{0}", DateTime.Now - dtBegin) + " " + buffer.Length;
10 binddata(dataSet);
11 }
12
(4)返回DataSetSurrogate对象用Binary序列化并Zip压缩后的字节数组
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。
示例如下:
代码
[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:
代码
1 private void button4_Click(object sender, EventArgs e)
2 {
3 com.dzbsoft.www.Service1 ds = new com.dzbsoft.www.Service1();
4 DateTime dtBegin = DateTime.Now;
5 byte[] zipBuffer = ds.GetDataSetSurrogateZipBytes();
6 byte[] buffer = UnZipClass.Decompress(zipBuffer);
7 BinaryFormatter ser = new BinaryFormatter();
8 DataSetSurrogate dss = ser.Deserialize(new MemoryStream(buffer)) as DataSetSurrogate;
9 DataSet dataSet = dss.ConvertToDataSet();
10 this.label4.Text = string.Format("耗时:{0}", DateTime.Now - dtBegin) + " " + zipBuffer.Length;
11 binddata(dataSet);
12 }
13private void binddata(DataSet dataSet)
{
this.dataGridView1.DataSource = dataSet.Tables[0];
this.label5.Text = "共计:" + dataSet.Tables[0].Rows.Count + "条记录";
}
代码
1 客户端UnZipClass程序
2 public static class UnZipClass
3 {
4 public static byte[] Decompress(byte[] data)
5 {
6 try
7 {
8 MemoryStream ms = new MemoryStream(data);
9 Stream zipStream = null;
10 zipStream = new GZipStream(ms, CompressionMode.Decompress);
11 byte[] dc_data = null;
12 dc_data = ExtractBytesFromStream(zipStream, data.Length);
13 return dc_data;
14 }
15 catch
16 {
17 return null;
18 }
19 }
20 public static byte[] ExtractBytesFromStream(Stream zipStream, int dataBlock)
21 {
22 byte[] data = null;
23 int totalBytesRead = 0;
24 try
25 {
26 while (true)
27 {
28 Array.Resize(ref data, totalBytesRead + dataBlock + 1);
29 int bytesRead = zipStream.Read(data, totalBytesRead, dataBlock);
30 if (bytesRead == 0)
31 {
32 break;
33 }
34 totalBytesRead += bytesRead;
35 }
36 Array.Resize(ref data, totalBytesRead);
37 return data;
38 }
39 catch
40 {
41 return null;
42 }
43 }
44 }
45
以上为提高WebService性能大数据量网络传输处理的方法,放到博客上以防以后难找到,也希望高手多多指教。