Run Saved Report

Run Saved Report pipeline can be used to request and retrieve reports created in the Ad Manager UI.

Read more about this end-point here

NOTE:

On the Google Ad Manager UI:

  • To find your reports, click Reporting and then Reports.

  • To create a new report, click Reporting and then Reports and then New report.

Configuring the Credentials

Select the account credentials which have access to relevant Google Ad Manager 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 Run Saved Report from the dropdown

google ad manager run saved report list

Setting Parameters

Parameter Description Values

Networks

Required

Select the network for which you would like to retrieve the report.

Select from dropdown

Saved Report Id

Required

The saved report ID is included in the URL when viewing a report in the UI. For example, in the URL https://www.google.com/admanager/1234#reports/report/detail/report_id=456789 the saved report ID is 456789.

Report ID

Insert Mode

Optional

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

Upsert Key

Dependant Required, If Upsert is chosen as the Insert Mode Type

If the Upsert mode is selected, you will be prompted to select the upsert key.Select the column name based on which data is to be upserted.

String value

google ad manager run saved 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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