![]() ![]() S.DestinationTableName = prodSalesData.TableName įoreach (var column in prodSalesData.Columns) Using (SqlBulkCopy s = new SqlBulkCopy(dbConnection)) Using (SqlConnection dbConnection = new SqlConnection("Data Source=ProductHost Initial Catalog=dbProduct Integrated Security=SSPI Connection Timeout=60 Min Pool Size=2 Max Pool Size=20 ")) Copy the DataTable to SQL Server using SqlBulkCopy Add the row to the ProductSalesData DataTable You can add as many rows as you want here!ĭataRow dailyProductSalesRow = prodSalesData.NewRow() ĭailyProductSalesRow = ĭailyProductSalesRow = "Nike" Let's populate the datatable with our stats. Add the columns to the ProductSalesData DataTable TotalSalesColumn.ColumnName = "TotalSales" TotalSalesColumn.DataType = Type.GetType("System.Int32") ProductNameColumn.ColumnName = "ProductName" ĭataColumn totalSalesColumn = new DataColumn() Then you can insert bulk rows using SQLBulkCopy using System ĭataTable prodSalesData = new DataTable("ProductSalesData") ĭataColumn dateColumn = new DataColumn() ĭateColumn.DataType = Type.GetType("System.DateTime") ĭataColumn productNameColumn = new DataColumn() On the other hand, in the following window may come alerts, or warnings the ideal is to ignore this, only if they leave error is necessary to pay attention.įirs you need to import CSV file into Data Table (usually not starting from 1), instead if we have a column with the id in the CSV we select the enable id insert, the next step is to end the wizard, we can review the changes here. In the option Edit Mappings we can see the preview of each table with the column of the spreadsheet, if we want the wizard to insert the id by default we leave the option unchecked. We can define the id of the table in the CSV (it is recommended that the columns of the CSV should be called the same as the fields in the table).Click Next and select in the last option that isĭepending on our type of authentication we select it, once this is done, a very important option comes.We select the CSV file, you can configure the data type of the tables in the CSV, but it is best to bring it from the CSV. Once the wizard is open, we select the type of data to be implied. Right click on the database in the option tasks to import data, On the Select Source Tables and Views window, you can Edit Mappings before clicking on the Next > button.Ĭheck the Run immediately check box and click on the Next > button.Ĭlick on the Finish button to run the package.īecause they do not use the SQL import wizard, the steps would be as follows: Enter the Server name Check Use SQL Server Authentication, enter the User name, Password, and Database before clicking on the Next > button. for SQL Server 2012, you can use SQL Server Native Client 11.0). Spend some time configuring how you want the data to be imported before clicking on the Next > button.įor the Destination, select the correct database provider (e.g. Then use the Browse button to select the CSV file. Right click on your database and select Tasks -> Import Data.įor the Data Source, select Flat File Source. Log into your database using SQL Server Management Studio ROWTERMINATOR = '\n', -Use to shift the control to next rowĮRRORFILE = 'C:\CSVDATA\SchoolsErrorRows.csv',įrom How to import a CSV file into a database using SQL Server Management Studio, from :įirst create a table in your database into which you will be importing ![]() BULK INSERT SchoolsTempįIELDTERMINATOR = ',', -CSV field delimiter Handle using ERRORFILE property, specify the error file name, it will write the rows To handle rows which aren't loaded into table because of invalid data or format, could be (does import skips rows that are not importable)? Set columnhavingdoublequotes = replace(columnhavingdoublequotes,'"','')ģ) How do we track if some rows have bad data, which import skips? If you're using BULK insert then there is no way to handle double quotes, data will beĪfter inserting the data into table you could replace those double quotes with ' '. " (double quotes) so how do the import can handle this? Code would look like and this will handle comma and single slash perfectly.Ģ) If the client create the csv from excel then the data that haveĬomma are enclosed within ". I would use a different FIELDTERMINATOR like ||. If you're using, (comma) as a delimiter, then there is no way to differentiate between a comma as a field terminator and a comma in your data. 1) The CSV file data may have, (comma) in between (Ex:ĭescription), so how can I make import handling these data?
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