Nowadays it is common in applications to have the functionality of reading the CSV data. My current project needed one. Even after searching for long, I could not get one which could satisfy my requirements. But after doing considerable amount of study, I came up with the following tool. CSV files stand for Comma Separated Value files. They are common text files with comma delimited values. Though the default delimiter is comma (,), we can specify other characters as delimiters like the semi-colon (;), colon (:), asterisk (*). But you cannot specify double quotes (") as a delimiter. I have used Microsoft Text Drivers for reading the CSV data. You have to use ODBC connection for accessing the CSV data. You can either create a DSN or use the connection string. If you create a DSN, the schema.ini file gets created automatically in the folder where all your CSV files reside. But if you use connection string, you have to create schema.ini file on your own. We are going to see the latter approach.
When the Text driver is used, the format of the text file is determined by using a schema information file. The schema information file, which is always named schema.ini and always kept in the same directory as the text data source, provides the IISAM with information about the general format of the file, the column name and data type information, and a number of other data characteristics.
For successfully running the application you need Test.csv file and a database with a table having three columns. But all this is provided in the demo application. So you need not worry. Follow these steps to run the demo application:
This is a function writeSchema(). It creates the schema.ini file dynamically.
/*Schema.ini File (Text File Driver)
When the Text driver is used, the format of the
text file is determined by using a schema information
file. The schema information file, which is always named
Schema.ini and always kept in the same directory as the
text data source, provides the IISAM with information
about the general format of the file, the column name
and data type information, and a number of other data
characteristics*/
private void writeSchema()
{
try
{
FileStream fsOutput =
new FileStream (txtCSVFolderPath.Text+"\\schema.ini",
FileMode.Create, FileAccess.Write);
StreamWriter srOutput = new StreamWriter (fsOutput);
string s1, s2, s3,s4,s5;
s1="["+strCSVFile+"]";
s2="ColNameHeader="+bolColName.ToString ();
s3="Format="+strFormat;
s4="MaxScanRows=25";
s5="CharacterSet=OEM";
srOutput.WriteLine(s1.ToString()+'\n'+s2.ToString()+
'\n'+s3.ToString()+'\n'+
s4.ToString()+'\n'+s5.ToString());
srOutput.Close ();
fsOutput.Close ();
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
finally
{
}
This function ConnectCSV (string filetable) takes the .csv file name as argument and returns the dataset containing the imported data.
public DataSet ConnectCSV (string filetable)
{
DataSet ds = new DataSet ();
try
{
/* You can get connected to driver either by using
DSN or connection string. Create a connection string
as below, if you want to use DSN less connection.
The DBQ attribute sets the path of directory which
contains CSV files*/
string strConnString=
"Driver={Microsoft Text Driver (*.txt;*.csv)};
Dbq="+txtCSVFolderPath.Text.Trim()+";
Extensions=asc,csv,tab,txt;
Persist Security Info=False";
string sql_select;
System.Data.Odbc.OdbcConnection conn;
//Create connection to CSV file
conn = new System.Data.Odbc.OdbcConnection(
strConnString.Trim ());
// For creating a connection using DSN, use following line
//conn = new System.Data.Odbc.OdbcConnection(DSN="MyDSN");
//Open the connection
conn.Open ();
//Fetch records from CSV
sql_select="select * from ["+ filetable +"]";
obj_oledb_da=new System.Data.Odbc.OdbcDataAdapter(
sql_select,conn);
//Fill dataset with the records from CSV file
obj_oledb_da.Fill(ds,"Stocks");
//Set the datagrid properties
dGridCSVdata.DataSource=ds;
dGridCSVdata.DataMember="Stocks";
//Close Connection to CSV file
conn.Close ();
}
catch (Exception e) //Error
{
MessageBox.Show (e.Message);
}
return ds;
}
This is a code written in the button's click event btnUpload_Click. This actually inserts the data in the database.
private void btnUpload_Click(object sender,
System.EventArgs e)
{
try
{
// Create an SQL Connection
// You can use actual connection
// string instead of ReadConFile()
SqlConnection con1=
new SqlConnection(ReadConFile().Trim());
SqlCommand cmd = new SqlCommand();
SqlCommand cmd1 = new SqlCommand();
// Create Dataset
DataSet da = new DataSet();
/* To actually fill the dataset,
Call the function ImportCSV and assign
the returned dataset to new dataset as below */
da=this.ConnectCSV(strCSVFile);
/* Now we will collect data from data table
and insert it into database one by one.
Initially there will be no data in database
so we will insert data in first two columns
and after that we will update data in same row
for remaining columns. The logic is simple.
'i' represents rows while 'j' represents columns*/
cmd.Connection=con1;
cmd.CommandType=CommandType.Text;
cmd1.Connection=con1;
cmd1.CommandType=CommandType.Text;
con1.Open();
for(int i=0;i<=da.Tables["Stocks"].Rows.Count-1;i++)
{
for(int j=1;j<=da.Tables["Stocks"].Columns.Count-1;j++)
{
cmd.CommandText=
"Insert into Test(srno,
"+da.Tables["Stocks"].Columns[0].ColumnName.Trim()+")
values("+(i+1)+",
'"+da.Tables["Stocks"].Rows[i].ItemArray.GetValue(0)+"')";
/* For UPDATE statement, in where clause you
need some unique row identifier. We are using
�srno� in WHERE clause. */
cmd1.CommandText=
"Update Test set "
+da.Tables["Stocks"].Columns[j].ColumnName.Trim()+"
= '"+da.Tables["Stocks"].Rows[i].ItemArray.GetValue(j)+
"' where srno ="+(i+1);
cmd.ExecuteNonQuery();
cmd1.ExecuteNonQuery();
}
}
con1.Close();
}
catch(Exception ex)
{
MessageBox.Show(ex.Message);
}
finally
{
btnUpload.Enabled=false;
}
}
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