process-mining
2021.10
true
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Loading data in the SAP Connector for AppOne
Process Mining
Last updated Dec 20, 2024
Loading data in the SAP Connector for AppOne
Note: The information in this guide only applies to the SAP Purchase-to-Pay Connector for AppOne and SAP Order-to-Cash Connector for AppOne.
The input tables are used to load data into the SAP Connector. The following options are available to load data in an SAP Connector.
- Connecting directly to the SAP database using the native SAP connection.
- Loading
.csv
files that contain specific SAP data. - Loading data via an ODBC Connection.
In order to load data correctly you must set the input type in the SAP Connector.
Note: By default the input type is set to ‘CSV’, which means the data is loaded from
.csv
files.
Follow these steps to set the input type to use the native SAP connection or to use an ODBC connection.
Step |
Action |
---|---|
1 |
Open the SAP Connector in your development environment. |
2 |
Go to the Data tab and select the Connector_settings table. |
3 |
Double click on the
Input type expression in the Input folder.
|
4 |
Switch the
Input type to either Const_Input_type_SAP or Const_Input_type_ODBC .
See illustration below for an example. |
5 |
Click on OK. |
In cases where only a subset of the data is needed for analyzing or monitoring, it is recommended to limit the amount of data
loaded, while this may improve the loading times. The number of rows that are extracted from SAP can be limited based on a
date range. You can specify a start date in the
Extraction start date
expression and/or an end date in the Extraction end date
expression in the Output folder in the Connector_settings table. See the illustration below.
Note: By default, the
Extraction start date
expression applies a date filtering to only get data from the current year (starting at January 1st).
See Input Data of the SAP Order-To-Cash Connector for AppOne or Input Data of the SAP Purchase-to-Pay Connector for AppOne. In the Filtering column it is indicated which tables are filtered by the
Extraction start date
and the field that is used to filter (Date: fieldname
).