Introduction Bulk Insert:
The Bulk Insert task provides the quickest way to copy large amounts of data into a SQL Server table or view. For example, suppose your company stores its million-row product list on a mainframe system, but the company’s e-commerce system uses SQL Server 2005 to populate Web pages. You must update the SQL Server product table nightly with the master product list from the mainframe. To update the table, you save the product list in a tab-delimited format and use the Bulk Insert task to copy the data directly into the SQL Server table.
To ensure high-speed data copying, transformations cannot be performed on the data while it is moving from the source file to the table or view.
You can configure the Bulk Insert task in the following ways:
- Specify the OLE DB connection manager to connect to the destination SQL Server database and the table or view into which data is inserted.
- Specify the File or Flat File connection manager to access the source file and provide information about the source data file, such as the code page and file type.
- Define the format used by the Bulk Insert task, either by using a format file or by defining the column and row delimiters of the source data. If using a format file, specify the File connection manager to access the format file.
- Specify actions to perform on the destination table or view when inserting the data. The options include whether to check constraints, enable identity inserts, keep nulls, fire triggers, or lock the table.
- Provide information about the batch of data to insert, such as the batch size, the first and last row from the file to insert, the number of insert errors that can occur before the task stops inserting rows, and the names of the columns that will be sorted.
If the Bulk Insert task uses a Flat File connection manager to access the source file, the task does not use the format specified in the Flat File connection manager. Instead, the Bulk Insert task uses either the format specified in a format file, or the values of the RowDelimiter and ColumnDelimiter properties of the task.
BULK INSERT (Transact-SQL)
BULK INSERT [ database_name . [ schema_name ] . | schema_name . ] [ table_name | view_name ] FROM 'data_file' [ WITH ( [ [ , ] BATCHSIZE = batch_size ] [ [ , ] CHECK_CONSTRAINTS ] [ [ , ] CODEPAGE = { 'ACP' | 'OEM' | 'RAW' | 'code_page' } ] [ [ , ] DATAFILETYPE = { 'char' | 'native'| 'widechar' | 'widenative' } ] [ [ , ] FIELDTERMINATOR = 'field_terminator' ] [ [ , ] FIRSTROW =first_row ] [ [ , ] FIRE_TRIGGERS ] [ [ , ] FORMATFILE = 'format_file_path' ] [ [ , ] KEEPIDENTITY ] [ [ , ] KEEPNULLS ] [ [ , ] KILOBYTES_PER_BATCH =kilobytes_per_batch ] [ [ , ] LASTROW = last_row ] [ [ , ] MAXERRORS = max_errors ] [ [ , ] ORDER ( { column [ ASC | DESC ] } [ ,...n ] ) ] [ [ , ] ROWS_PER_BATCH = rows_per_batch ] [ [ , ] ROWTERMINATOR = 'row_terminator' ] [ [ , ] TABLOCK ] [ [ , ] ERRORFILE = 'file_name' ] )]
Examples
A. Using pipes to import data from a file:
This example imports order detail information into the AdventureWorks.Sales.SalesOrderDetail table from the specified data file by using a pipe (|) as the field terminator and |n as the row terminator.
BULK INSERT AdventureWorks.Sales.SalesOrderDetail FROM 'f:orderslineitem.txt' WITH ( FIELDTERMINATOR =' |', ROWTERMINATOR =' |n' )
B. Using the FIRE_TRIGGERS argument
This example specifies the FIRE_TRIGGERS argument.
BULK INSERT AdventureWorks.Sales.SalesOrderDetail FROM 'f:orderslineitem.txt' WITH ( FIELDTERMINATOR =' |', ROWTERMINATOR = ':n', FIRE_TRIGGERS )
C. Using line feed as a row terminator
This example loads a file that uses the line feed as a row terminator such as a UNIX output:
DECLARE @bulk_cmd varchar(1000) SET @bulk_cmd = 'BULK INSERT AdventureWorks.Sales.SalesOrderDetail FROM ''<drive>:<path><filename>'' WITH (ROWTERMINATOR = '''+CHAR(10)+''')' EXEC(@bulk_cmd)
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