Data Synchronization Task Example
You can create a Data Synchronization task to read data from an Amazon Aurora source and write data to the Amazon Aurora target.
Perform the following task to create a Data Synchronization task:
Note: You need to create an Amazon Aurora connection before you configure the Data Synchronization task.
1. Click Task Wizards > Data Synchronization.
The Data Synchronization Task Wizard appears.
2. Click New to create a Data Synchronization task.
The Definition tab appears.
3. Configure the following fields on the Definition tab:
Field | Description |
---|
Task Name | Name of the Data Synchronization task. |
Description | Description of the Data Synchronization task. Maximum length is 255 characters. |
Task Operation | Select the task operation that you want to perform. |
4. Click Next.
The Source tab appears.
5. Configure the following fields on the Source tab:
Field | Description |
---|
Connection | Select an Amazon Aurora connection you created. |
Source Type | Select the source type. By default, Single is selected. |
Source Object | Select the required object from the list. |
Display technical names instead of labels | Displays technical names instead of business names. |
Display source fields in alphabetical order | Displays source fields in alphabetical order. By default, fields appear in the order returned by the source system. |
6. Click Next.
The Target tab appears.
7. Configure the following fields on the Target tab:
Field | Description |
---|
Connection | Select a flat file connection. |
Target Object | Select the target object. |
Display target fields in alphabetical order | Displays target fields in alphabetical order. By default, fields appear in the order returned by the target system. |
8. Click Next.
The Data Filters tab appears.
9. Select the filter object, filter field, and filter operator to create a data filter on the Data Filters page.
10. Click Next.
The Field Mapping tab appears.
11. Click Automatch on the Field Mapping tab to map source fields to target fields accordingly.
12. Click Validate Mapping to validate the mapping.
13. Click Next.
The Schedule tab appears where you can schedule the task for each requirement and save.
14. Configure the advanced source properties on the Schedule tab.
15. Click Save and Run the task if you do not want to schedule the task.
After you run the task, the Monitor Log page appears where you can monitor the status of Data Synchronization tasks.