Question

I have a web page that needs to update multiple records. This page gets all the information and then begins a transaction sending multiple UPDATE queries to the data base.

foreach row
{
Prepare the query
 Hashtable Item = new Hashtable();
 Item.Add("Id", Id);
 Item.Add("Field1", Field1);
 Item.Add("Field2", Field2);
 Item.Add("Field3", Field3);
...
}

Then we launch the ytransaction
DO CHANGES()

public void execute_NonQuery_procedure_transaction(string StoredProcedure, List<Hashtable> Params)
{
    using (MySqlConnection oConnection = new MySqlConnection(ConfigurationManager.AppSettings[DB]))
    {
        MySqlTransaction oTransaction;
        bool HasErrors = false;

        oConnection.Open();
        oTransaction = oConnection.BeginTransaction();

        try
        {
            MySqlCommand oCommand = new MySqlCommand(StoredProcedure, oConnection);
            oCommand.CommandType = CommandType.StoredProcedure;
            oCommand.Transaction = oTransaction;

            foreach (Hashtable hParams in Params)
            {
                oCommand.Parameters.Clear();

                IDictionaryEnumerator en = hParams.GetEnumerator();
                while (en.MoveNext())
                {
                    oCommand.Parameters.AddWithValue("_" + en.Key.ToString(), en.Value);
                    oCommand.Parameters["_" + en.Key.ToString()].Direction = ParameterDirection.Input;
                }

                oCommand.ExecuteNonQuery();

            }
        }
        catch (Exception e)
        {
            HasErrors = true;
            throw e;
        }
        finally
        {
            if (HasErrors) 
                oTransaction.Rollback();
            else
                oTransaction.Commit();

            oConnection.Close();
        }
    }
}

Is there another way to do this or this is the most efficient way?

Answer 1

It depends on the situation, like if you have multiple row updates or adding new rows or deleting some rows or a combination of these, which modifies the database table then, the efficient way to do this is to have Batch Update…

Please go through this link Batch Update

Hope this helps…