An order is a customer’s completed request to purchase one or more products from a shop. It is created when a customer completes the checkout process, during which time they provide an email address or phone number, billing address and payment information. The Order resource does not expose shipping labels or costs that were purchased by a merchant on an order.

As of June 6th, 2018, only the last 60 days' worth of orders from a store will be accessible from the Order resource by default. If you want to access older orders, then you need to request access to all orders.

The Orders pipeline can be used to request and retrieve details of the orders from the shopify platform. Read more about this here

Configuring the Credentials

Select the account credentials which has access to relevant Shopify data from the dropdown menu & Click Next

Credentials not listed in dropdown ?

Click on + Add New for adding new credentials


Select the dimensions you would like to fetch from the Shopify platform. You can click on View Schema anytime to see the schema of the table being created. Each of the selected dimensions will create one or more columns in the database table in the destination warehouse.

Data Pipelines Details

Data Pipeline

Select Orders from the dropdown

Setting Parameters

Parameter Description Values

Insert Mode


Specifies the manner in which data will get updated in the data warehouse : UPSERT will insert only new records or records with changes and APPEND will insert all fetched data at the end. Recommended to use "Upsert" option unless there is a specific requirement.

{Upsert, Append}

Default Value: UPSERT

Fetch Mode


Specifies the manner in which data will fetched from the Shopify API : FULL will fetch the entire object and INCREMENTAL will only fetch the new records after the latest update.

{Full, Incremental}

Default Value: FULL


Click on + Add New for adding predicates (advanced filters)

Available predicates are as under:-

Filter Description Values



Select all types of status you wish to get the data for.


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 destination).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.


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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