Wednesday, 31 March 2021

Load a flat file with any wild card character like # or $ etc. in

 We are getting the CSV File which column and data are separated with any wild card character like !,@,#,$,%,^,&,*,?,\,/  etc.

See the files below.  

In health care domain some time we are getting such type of flies and we need to load this file to the database.

We are loading the flat file or CSV files in the database using the flat file connection manager. But this source has some limitations.

  

Here we are not getting the * delimiter.

For loading such type of file either we need to use Script task or script component transformation.

Let’s in In this demo we will see who we load this file using Script task and the next post we will see how we load this same file using the script component task.

Now taking script task 

We are writing the below code

public void Main()

                                {

            try

            {

                // TODO: Add your code here

                char[] delimiters = new char[] { '*' };  //CSV file with * seperated

                DataTable dt = new DataTable();

                using (StreamReader reader = new StreamReader("H:\\SSIS1\\Source\\Sales.csv")) //Reading the CSV file

                {

 

                    string[] headers = reader.ReadLine().Split('*'); // Adding the Header into the data table

                    foreach (string header in headers)

                    {

                        dt.Columns.Add(header);

                    }

                    dt.Columns.Add("Created_Date");  //Adding Created_Date column in the header

                    dt.Columns.Add("Created_by");   // Adding created_by column in the header

                    while (!reader.EndOfStream)

                    {

                        string[] rows = reader.ReadLine().Split('*');

                        DataRow dr = dt.NewRow();

                        for (int i = 0; i < headers.Length; i++)

                        {

                            dr[i] = rows[i];

                        }

                        dr["Created_date"] = DateTime.Now; //Adding Created_Date

                        dr["created_by"] = "Bagesh";  //Adding Created_by

                        dt.Rows.Add(dr);

 

                    }

                }

 

                //  creating connection to the data base

                string connection = "Data Source=BAGESH-PC\\BAGESHDB;database=Test;integrated Security=SSPI;";

                SqlConnection con = new SqlConnection(connection);

                //create object of SqlBulkCopy which help to insert 

                SqlBulkCopy obj = new SqlBulkCopy(con);

 

                //assign Destination table name 

                obj.DestinationTableName = "sales_Stg";

 

                //Mapping the Source column with destination column.

                //Keep in mind we need to provide the correct mapping otherwise it will throw an error

                obj.ColumnMappings.Add("SalesOrderNumber", "SalesOrderNumber");

                obj.ColumnMappings.Add("SalesAmount", "SalesAmount");

                obj.ColumnMappings.Add("UnitPrice", "UnitPrice");

                obj.ColumnMappings.Add("ExtendedAmount", "ExtendedAmount");

                obj.ColumnMappings.Add("TaxAmt", "TaxAmt");

                obj.ColumnMappings.Add("Created_Date", "Created_Date");

                obj.ColumnMappings.Add("created_by", "created_by");

                //Opining the connection

                con.Open();

                //insert bulk Records into DataBase. 

                obj.WriteToServer(dt);

                //Closing the conntion

                con.Close();

                Dts.TaskResult = (int)ScriptResults.Success;

            }

                //If any error comes loging that error

            catch (Exception ex)

            {

                Dts.Events.FireError(0, "Fire Error", "An error occurred: " + ex.Message.ToString(), "", 0);

 

                Dts.TaskResult = (int)ScriptResults.Failure;

            }

                                }

 

Build and close the window.

Our package is ready to run.

Before run see the records in the table.

 

Now loading the file into the database.

 

Package executed successfully.

See the records in the table.  

Data loaded successfully.

Popular Posts