CallidusCloud File Processor Connector > Synchronization Tasks with CallidusCloud File Processor Connector > Synchronization example
  

Synchronization example

Configure a synchronization task to read from CallidusCloud File Processor and write to a flat file.
You perform the following synchronization tasks:
Define the synchronization task.
Configure a synchronization task to use the insert operation.
Use a CallidusCloud File Processor source object.
The source for the mapping is a CallidusCloud File Processor connection that contains the Contacts.csv file. The CallidusCloud File Processor object is a single source in the synchronization task. Specify Contacts.csv as the resource for the source object.
Create a flat file target object.
Select the fields from the source object that you want to insert into the target object. Select a flat file connection and a .csv file for the target object. The synchronization task writes the data to the flat file. You can also use an existing target object.
Specify a data filter for the CallidusCloud File Processor source object
Define a data filter for the Contacts.csv object.
Configure a field mapping.
Map all the fields in the Contacts.csv source file to all the fields in the target object. The synchronization application writes the mapped source data to the flat file.
The following image shows the mapping of the Contacts.csv source with the target in the Field Mapping tab:
data synchronization mapped fileds in google big query
Configure the advanced source properties
You configure the advance source properties on the Schedule page of the Synchronization Task wizard. In the advanced source properties, you choose properties that are specific to CallidusCloud File Processor.
Specify a pattern for the CallidusCloud File Processor source file in the Read Pattern field under the advanced source properties.