Product Smart Collection
The Product Smart Collection pipeline can be used to request and retrieve product smart collections' data from Shopify store into your data warehouse. Read more about this here
Smart collections contain products that are automatically added based on selection conditions that a merchant chooses. A smart collection is a grouping of products defined by rules that are set by the merchant. Smart collections, like other types of collections, are used to break down the catalog of products into categories and make the shop easier to browse.
Configuring the Credentials
Select the account credentials which has access to relevant Shopify GraphQL Admin API data from the dropdown menu & Click Next
Setting Parameters
| Parameter | Description | Values |
|---|---|---|
Insert Mode |
Optional Specifies the manner in which data will get updated in the data warehouse : UPSERT will insert only new records or records with changes, APPEND will insert all fetched data at the end, and REPLACE will drop the existing table and recreate a fresh one on each run. Recommended to use "Upsert" option unless there is a specific requirement. |
Default Value: UPSERT |
Number of Days |
Required The number of days passed are with respect to latest |
|
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
-
Use the dropdown to select an interval-based hourly, monthly, weekly, or daily frequency.
- Advance Scheduling
-
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
-
Enter a short description (optional) describing the dataset being fetched by this particular pipeline.
- Notifications
-
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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