Orders
Orders are automatically generated for an invoice when it gets paid, based on the shipping preference chosen for the invoice’s product and the shipping date configuration.
Orders pipeline can be used to request and retrieve a list of available orders satisfying all the conditions specified in the filter parameters below. Read more about this here
Configuring the Credentials
Select the account credentials which has access to relevant Chargebee data from the dropdown menu & Click Next
All accounts which your credentials have access to should be available here. If they are not, please check the credentials selected / configured by you. |
Setting Parameters
Parameter | Description | Values |
---|---|---|
Fetch Mode |
Required Specifies the manner in which data will get fetched from the data warehouse : FULL will fetch the entire column(s) from the selected table/view, INCREMENTAL will bring the fresh record(S) added since last fetch |
{Incremental,Full} Default Value: FULL |
Insert Mode |
Required This refers to the manner in which data will get updated in the data warehouse, with 'Delete' selected, the data will be upserted (only new records or records with changes) and with 'Append' selected, all data fetched will be inserted. Selecting 'Replace' will ensure the table is dropped and recreated with fresh data on each run. Recommended to use "Upsert" option unless there is a specific requirement. |
Default Value: UPSERT |
Datapipeline Scheduling
Scheduling specifies the frequency with which data will get updated in the data warehouse. You can choose between Manual Run, Normal Scheduling or Advance Scheduling.
- Manual Run
-
If scheduling is not required, you can use the toggle to run the pipeline manually.
- Normal Scheduling
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Use the dropdown to select an interval-based hourly, monthly, weekly, or daily frequency.
- Advance Scheduling
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Set schedules fine-grained at the level of Months, Days, Hours, and Minutes.
Detailed explanation on scheduling of pipelines can be found here
Dataset & Name
- Dataset Name
-
Key in the Dataset Name(also serves as the table name in your data warehouse).Keep in mind, that the name should be unique across the account and the data source. Special characters (except underscore _) and blank spaces are not allowed. It is best to follow a consistent naming scheme for future search to locate the tables.
- Dataset Description
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Enter a short description (optional) describing the dataset being fetched by this particular pipeline.
- Notifications
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Choose the events for which you’d like to be notified: whether "ERROR ONLY" or "ERROR AND SUCCESS".
Once you have finished click on Finish to save it. Read more about naming and saving your pipelines including the option to save them as templates here
Still have Questions?
We’ll be happy to help you with any questions you might have! Send us an email at info@datachannel.co.
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