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我們有第三方應用程序,它使用XML RPC機制接受調用以調用存儲的特效。將斷開連接的數據集中多個表的更改發送到SQLServer
我們使用這種機制發送一個包含多個表的ZIP壓縮數據集,其中包含一堆update/delete/insert。另一方面,CLR sproc解壓縮數據並獲取數據集。
接着,下面的代碼被執行:
using (var conn = new SqlConnection("context connection=true"))
{
if (conn.State == ConnectionState.Closed)
conn.Open();
try
{
foreach (DataTable table in ds.Tables)
{
string columnList = "";
for (int i = 0; i < table.Columns.Count; i++)
{
if (i == 0)
columnList = table.Columns[0].ColumnName;
else
columnList += "," + table.Columns[i].ColumnName;
}
var da = new SqlDataAdapter("SELECT " + columnList + " FROM " + table.TableName, conn);
var builder = new SqlCommandBuilder(da);
builder.ConflictOption = ConflictOption.OverwriteChanges;
da.RowUpdating += onUpdatingRow;
da.Update(ds, table.TableName);
}
}
catch (....)
{
.....
}
}
下面是RowUpdating事件的事件處理程序:
public static void onUpdatingRow(object sender, SqlRowUpdatingEventArgs e)
{
if ((e.StatementType == StatementType.Update) && (e.Command == null))
{
e.Command = CreateUpdateCommand(e.Row, sender as SqlDataAdapter);
e.Status = UpdateStatus.Continue;
}
}
和CreateUpdateCommand方法:
private static SqlCommand CreateUpdateCommand(DataRow row, SqlDataAdapter da)
{
string whereClause = "";
string setClause = "";
SqlConnection conn = da.SelectCommand.Connection;
for (int i = 0; i < row.Table.Columns.Count; i++)
{
char quoted;
if ((row.Table.Columns[i].DataType == Type.GetType("System.String")) ||
(row.Table.Columns[i].DataType == Type.GetType("System.DateTime")))
quoted = '\'';
else
quoted = ' ';
string val = row[i].ToString();
if (row.Table.Columns[i].DataType == Type.GetType("System.Boolean"))
val = (bool)row[i] ? "1" : "0";
bool isPrimaryKey = false;
for (int j = 0; j < row.Table.PrimaryKey.Length; j++)
{
if (row.Table.PrimaryKey[j].ColumnName == row.Table.Columns[i].ColumnName)
{
if (whereClause != "")
whereClause += " AND ";
if (row[i] == DBNull.Value)
whereClause += row.Table.Columns[i].ColumnName + "=NULL";
else
whereClause += row.Table.Columns[i].ColumnName + "=" + quoted +
val + quoted;
isPrimaryKey = true;
break;
}
}
/* Only values for column that is not a primary key can be modified */
if (!isPrimaryKey)
{
if (setClause != "")
setClause += ", ";
if (row[i] == DBNull.Value)
setClause += row.Table.Columns[i].ColumnName + "=NULL";
else
setClause += row.Table.Columns[i].ColumnName + "=" + quoted +
val + quoted;
}
}
return new SqlCommand("UPDATE " + row.Table.TableName + " SET " + setClause + " WHERE " + whereClause, conn);
}
然而,這我們有很多記錄的時候真的很慢。
有沒有一種方法來優化這個或完全不同的方式發送大量udpate/delete在幾個表上?我真的很想爲此使用TSQL,但無法想出將數據集發送到常規存儲過程的方法。
其他注意事項:
- 我們不能直接訪問SQL Server數據庫。
- 我們嘗試不加壓縮,速度較慢。
不幸的是,使用SQL Server 2005。 – 2009-12-21 18:44:18