Invoice Report

The Invoice pipeline can be used to request and retrieve the invoices for the specified period.

Configuring the Credentials

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

Credentials not listed in dropdown ?: Click on + Add New for adding new credentials

Data Pipelines Details

Data Pipeline: Select Invoice from the dropdown

Setting Parameters

Parameter Description Values

Parameter	Description	Values
No of Days	*Required* The number of days for which you wish to get the data in each run.	Integer value
Insert Mode	*Required* 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.	`Upsert`, `Append`, `Replace` *Default Value:* Replace
Data Type	*Required* Select the data type	`Grn date`, `Due Date` , `Payment date`

No of Days

Required

The number of days for which you wish to get the data in each run.

Integer value

Insert Mode

Required

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.

Upsert, Append, Replace

Default Value: Replace

Data Type

Required

Select the data type

Grn date, Due Date , Payment date

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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