Shopify
Guide to integrate your Shopify with Sprinkle
Last updated
Guide to integrate your Shopify with Sprinkle
Last updated
Before setting up the datasource, learn about datasource concepts here
To learn about Connection, refer here
Log into Sprinkle application
Navigate to Datasources -> Connections Tab -> New Connection ->
Select Shopify
Provide all the mandatory details
Name: Name to identify this connection
Shop Name: Provide the shopname {SHOP_NAME}. For ex:- https://{SHOP_NAME}.myshopify.com/
ACCESS TOKEN: Enter Access-Token key provided by Shopify. How to generate Access-Token in Shopify click here
Advance settings : refer here
Post login, users will be prompted to allow permissions required for sprinkle to read data further. Once a user provides consent by clicking on Install, the connection can be created from Sprinkle.
Next, in the datasets tab, users need to name and select the report type from the drop down fields list that needs to be ingested.
Test Connection
Create
To learn about datasource, refer here
Navigate to Datasources -> Datasources Tab -> Add ->
Select Shopify
Provide the name -> Create
Connection Tab:
From the drop-down, select the name of connection created in STEP-2
Update
Datasets Tab: To learn about Dataset, refer here. Add Dataset for each report/dataset that you want to integrate, providing following details
Report Type (Required):
Customers:
Sub-Reports: Select from drop-down
Events
Marketing_Events
Metafields
Orders
Sub-Reports: Select from drop-down
Products
Sub-Reports: Select from drop-down
Tender_Transactions
Flatten Level(Required) : Select One Level or Multi Level. In one level, flattening will not be applied on complex type. They will be stored as string. In multi level, flattening will be applied in complex level till they become simple type.
Destination Schema (Required) : Data warehouse schema where the table will be ingested into
Destination Table name (Required) : It is the table name to be created on the warehouse. If not given, sprinkle will create like ds_<datasourcename>_<tablename>
Destination Create Table Clause: Provide additional clauses to warehouse-create table queries such as clustering, partitioning, and more, useful for optimizing DML statements. Learn more on how to use this field.
Create
In the Ingestion Jobs tab:
Trigger the Job, using Run button
To schedule, enable Auto-Run. Change the frequency if needed
API Read Timeout (In seconds) : Maximum time of inactivity between two data packets when waiting for the server's response. The default value is 30 seconds.
API Connection Timeout (In seconds) : Time period within which a connection between a client and a server must be established.
Retry Limit : Number of retries allowed when an API call fails. For example if an API call fails and retry limit is 5 then it will check 5 times for that API call and if it succeeded then it will stop checking.
Retry Sleep Time (In milliseconds) : Given time, after which retry should happen in case an API call fails.
Version : It gives information about the version of Google Analytics core reporting API being used.
