Click on the Destination button to define extraction-specific settings of the extraction.
Specify the name of the destination table. You have the following options:
- Same as name of SAP object
- Same as name of extraction and
- Custom to specify a custom name yourself.
Column Name Style
Defines the style of the column name. Following options are available:
Code: The SAP technical column name will be used as column name, e.g. MAKTX.
CodeAndText: The SAP technical column name and the SAP description separated by an underscore will be used as column name, e.g. MAKTX_Material Description (Short Text).
TextAndCode: The SAP description and the SAP technical column name description separated by an underscore will be used as column name, e.g. Material Description (Short Text)_MAKTX.
Table Name is the name of the table in the Microstrategy dataset, where the data extraction is loaded to. This would be the name of the Dataset too, if a new Dataset is created.
Dataset ID of the Table.This will be automatically generated by the MSTR server and can be found in the log. The Dataset ID is set automatically for the default DropAndCreate Update Policy. For other Update policies it can be set manually.
Optional. Set the name of an existing folder under My Objects in Microstrategy. The Cube will be generated in the defined folder.
Describes, how data is written to MSTR. DropAndCreate is the default value. Table will be dropped and created again. Data will be then inserted. Add: add data to the existing table. Dataset ID is required. Update: will update the metric values in the data set where there is already a matching key in the dataset; new records are ignored. Upsert: Upsert will update existing records and then add any new ones as well. Replace: Table will be truncated. Data will be then inserted. Dataset ID is required.
Attributes and metrics
Attributes and metrics will be defined automatically based on the data types of the source object. If you wish to redefine attributes or metrics click on the correspondent button and then click to generate the JSON definition to modify the definition.
Convert date strings
Converts SAP dates (YYYYMMDD, e.g. 19900101) into a formatted date value. In the destination the date field does not have a string data type but a date data type (YYYY-MM-DD, e.g. 1990-01-01).
Convert invalid dates to
Every invalid value will be converted into this value. NULL is supported as value. You should set this value to be used in case of no convertible date values.
During the conversion of invalid SAP dates the two specific cases 00000000 and 9999XXXX will be checked at first.
Convert 00000000 to converts all SAP date 00000000 to this value.
Convert 9999XXXX to converts all SAP date 9999XXXX to this value.