Sending changes from multiple tables in disconnected dataset to SQLServer

We have a third party application that accept calls using an XML RPC mechanism for calling stored procs.

We send a ZIP-compressed dataset containing multiple tables with a bunch of update/delete/insert using this mechanism. On the other end, a CLR sproc decompress the data and gets the dataset.

Then, the following code gets executed:

    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 (....)
        {
           .....
        }
    }

Here's the event handler for the RowUpdating event:

public static void onUpdatingRow(object sender, SqlRowUpdatingEventArgs e)
{
    if ((e.StatementTy开发者_Python百科pe == StatementType.Update) && (e.Command == null))
    {
        e.Command = CreateUpdateCommand(e.Row, sender as SqlDataAdapter);
        e.Status = UpdateStatus.Continue;
    }
}

and the CreateUpdateCommand method:

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);
}

However, this is really slow when we have a lot of records.

Is there a way to optimize this or an entirely different way to send lots of udpate/delete on several tables? I would really much like to use TSQL for this but can't figure a way to send a dataset to a regular sproc.

Additional notes:

• We cannot directly access the SQLServer database.
• We tried without compression and it was slower.

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If you're using SQL Server 2008, you should look into MERGE

Look here for more info on MERGE