Statistics
The Statistics pipeline can be used to request and retrieve the aggregation of statistics across a defined time period.
Read more about the pipeline here
Configuring the Credentials
Select the account credentials which has access to relevant Adtraction data from the dropdown menu & Click Next
Setting Parameters
Parameter | Description | Values |
---|---|---|
Group By |
Required Select the option according to which you want the data to be grouped. |
Default Value: days |
Transaction Status |
Required Specify the status of the transactions to be included in the dataset. |
Default Value: approved |
Number of Days |
Required Enter the number of days for which you wish you get the data in each run. Please note that the start date of the requested date range refers to the date when the channel/ad/segment(the grouping option selected) was added. |
'NUMBER' |
Insert Mode |
Required This refers to the manner in which data will get updated in the data warehouse, with 'Upsert' selected, the data will be upserted (only new records or records with changes) and with 'Append' selected, all data fetched will be inserted. Selecting 'Replace' will ensure the table is dropped and recreated with fresh data on each run. Recommended to use "Upsert" option unless there is a specific requirement. |
Default Value: Upsert |
Upsert Key Dependant |
Required (If Upsert is chosen as the Insert Mode Type) Specify the upsert key(s) based on which data is to be upserted. |
String value |
![adtraction statistics config](../../../_images/adtraction-statistics-config.png)
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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