Flat File Orders By Order Date Report

Flat File Orders By Order Date Report can be used to request and retrieve tab-delimited flat file report that shows all orders that were placed in the specified period for all sellers. It is an Order Tracking Report where it return all orders, regardless of fulfillment channel or shipment status. This report is intended for order tracking and does not include customer-identifying information. Also note that for self-fulfilled orders, item price is not shown for orders in a "pending" state.

Configuring the Credentials

Select the account credentials which has access to relevant Amazon Seller Central 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 Flat File Orders By Order Date Report from the dropdown

amazonsellercentral flat file orders by order date report list

Dimensions and Metrics: Select the dimensions and metrics you would like to fetch from the Amazon Seller Performance platform. Once Pipeline configuration is completed, you may click on View Schema to see the schema of the table being created.

Each of the selected dimension / metric will create one or more columns in the database table in the destination warehouse.

Setting Parameters

Parameter	Description	Values
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, 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:* UPSERT
No of Days	*Required* Number of days for which you wish to get the data in each run.	Integer value (Recommended value 30)

Parameter

Description

Values

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, 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: UPSERT

No of Days

Required

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

Integer value (Recommended value 30)

amazonsellercentral flat file orders by order date report config

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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