This Snap executes an SQL Server bulk load. The Snap uses the bcp utility program internally to perform the bulk load action. The input data is first written to a temporary data file, then the bcp utility program loads the data from the data file into the target table.
- Expected upstream Snaps: The columns of the target table need to be mapped upstream using a Mapper Snap. The Mapper Snap will provide the target schema, which reflects the schema of the target table.
- Expected downstream Snaps: None.
- Expected input: Document that needs to be loaded.
- Expected output: Document which represents the result of the bulk load operation.
If the table does not exist when the Snap tries to do the load, and the Create table property is set, the table will be created with the columns and data types required to hold the values in the first input document. If you would like the table to be created with the same schema as a source table, you can connect the second output view of a Select Snap to the second input view of this Snap. The extra view in the Select and Bulk Load Snaps are used to pass metadata about the table, effectively allowing you to replicate a table from one database to another.
The table metadata document that is read in by the second input view contains a dump of the JDBC DatabaseMetaData class. The document can be manipulated to affect the CREATE TABLE statement that is generated by this Snap. For example, to rename the name column to full_name, you can use a Mapper (Data) Snap that sets the path $.columns. Name.COLUMN_NAME to full_name. The document contains the following fields:
columns - Contains the result of the getColumns() method with each column as a separate field in the object. Changing the COLUMN_NAME value will change the name of the column in the created table. Note that if you change a column name, you do not need to change the name of the field in the row input documents. The Snap will automatically translate from the original name to the new name. For example, when changing from name to full_name, the name field in the input document will be put into the "full_name" column. You can also drop a column by setting the COLUMN_NAME value to null or the empty string. The other fields of interest in the column definition are:
TYPE_NAME - The type to use for the column. If this type is not known to the database, the DATA_TYPE field will be used as a fallback. If you want to explicitly set a type for a column, set the DATA_TYPE field.
_SL_PRECISION - Contains the result of the getPrecision() method. This field is used along with the _SL_SCALE field for setting the precision and scale of a DECIMAL or NUMERIC field.
_SL_SCALE - Contains the result of the getScale() method. This field is used along with the _SL_PRECISION field for setting the precision and scale of a DECIMAL or NUMERIC field.
primaryKeyColumns - Contains the result of the getPrimaryKeys() method with each column as a separate field in the object.
declaration - Contains the result of the getTables() method for this table. The values in this object are just informational at the moment. The target table name is taken from the Snap property.
importedKeys - Contains the foreign key information from the getImportedKeys() method. The generated CREATE TABLE statement will include FOREIGN KEY constraints based on the contents of this object. Note that you will need to change the PKTABLE_NAME value if you changed the name of the referenced table when replicating it.
indexInfo - Contains the result of the getIndexInfo() method for this table with each index as a separate field in the object. Any UNIQUE indexes in here will be included in the CREATE TABLE statement generated by this Snap.
- A Joda DateTime object. For example, a Joda DateTime object can be created with expression Date.now() in Mapper Snap.
- A plain string in the format: YYYY-MM-dd HH: mm:ss. Example: 2016-10-22 11:11:11.
SQL Server Bulk Load Snap does not accept the results by the DateTime string from the expression Date.toLocaleDateTimeString().