MonetDB Bulk Loader
Options
General
Field | Description |
---|---|
Transform name | Specify the unique name of the MongoDB Output transform in the pipeline. |
Connection | Select your MonetDB database connection |
General Settings tab
This tab contains the destination settings, buffer size and location for the logfile.
Field | Description |
---|---|
Target Schema | Specify the database schema that has to be used. |
Target Table | Specify the database table, use the Browse button next to this field to use a menu to select the table and schema |
Buffer size (rows) | Specify how many rows will be kept in memory before transferring to MonetDB |
Log file | Specify the location for the Bulk command logs returned from MonetDB |
Truncate table | Remove all data from the destination table before loading the data. |
Fully quote all SQL statements | Forces quotes around all objects when executing |
MonetDB Settings tab
This tab contains information about the temporary files that are generated to load the data.
Field | Description |
---|---|
Field separator | This is the separator that will be used in the Bulk copy command, it is not allowed to have this field in the input data. |
Field enclosure | The enclosure character used around values. |
Null values represented | Null values will be converted to this string, this allows to differentiate empty strings and null values. |
Encoding | File encoding used when generating the files for the copy statement. |
Output Fields tab
This tab contains the source to target mapping.
Field | Description |
---|---|
Target table field | Field containing the name of the field in the target table |
Incoming stream field | Field containing the value we want to insert in target table |
Format is ok | Set to Y if the incoming stream’s field is the correct format according to the target datatatype. NOTE: This setting is evaluated only when Lazy Conversion is applied. For example: imagine you are getting values from a text file, your incoming data contains numbers or dates and Lazy Conversion is enabled in the input transform. In this case, the data is not transformed internally to the target data type and is managed as a String by Hop. By setting this flag to Y, we are saying Hop that the incoming data’s value is already in a format clearly understandable by the target database according to the target datatype. |