The Google Audience Partner API Status via SFTP integration enables you to import status from Google DoubleClick Data Platform's SFTP server into Treasure Data.


Google has rebranded the DoubleClick Data Platform as the Google Marketing Platform.

Formerly, this integration was called: Google DoubleClick Data Platform through SFTP Import Integration.


SFTP credentials are automatically taken from Google DDP. Just name your new Google DDP via SFTP connection.



Prerequisites

  • Basic knowledge of Treasure Data


Configure Your Connection


1. Open TD Console.
2. Navigate to Integrations Hub  Catalog.
3. Search for and select Google Audience Partner API Status via SFTP.

4. Select Continue.

5. Type a name for your authentication.

6. Select Done.

Transfer Your Data to Treasure Data


After creating the authenticated connection, you are automatically taken to Authentications.


1. Search for the connection you created. 
2. Select New Source.
3. Type a name for your Source in the Data Transfer field.
4. Select Next.

The Source Table dialog opens. 

5. Select Add to add file names to lookup.

File names: The names of files that you want to capture status from.

The file names are captured from the Google Adwords on DDP job output logs.


6. Select Next.

7. Select Next.

The Data Settings page can be modified for your needs or you can skip the page.

8. Optionally, edit the following parameters:
Parameters Description
Total file count limitMaximum number of files to read
Minimum task size (experimental)

The minimum size of a task. If this is larger than 0, one task includes multiple input files. This is useful if too many tasks are impacting the performance of output or executor plugins.

9. Select Next.


Data Preview 

You can see a preview of your data before running the import by selecting Generate Preview.

Data shown in the data preview is approximated from your source. It is not the actual data that is imported.

  1. Select Next.
    Data preview is optional and you can safely skip to the next page of the dialog if you want.

  2. To preview your data, select Generate Preview. Optionally, select Next

  3. Verify that the data looks approximately like you expect it to.


  4. Select Next.


Data Placement

For data placement, select the target database and table where you want your data placed and indicate how often the import should run.

  1.  Select Next. Under Storage you will create a new or select an existing database and create a new or select an existing table for where you want to place the imported data.

  2. Select a Database > Select an existing or Create New Database.

  3. Optionally, type a database name.

  4. Select a Table> Select an existing or Create New Table.

  5. Optionally, type a table name.

  6. Choose the method for importing the data.

    • Append (default)-Data import results are appended to the table.
      If the table does not exist, it will be created.

    • Always Replace-Replaces the entire content of an existing table with the result output of the query. If the table does not exist, a new table is created. 

    • Replace on New Data-Only replace the entire content of an existing table with the result output when there is new data.

  7. Select the Timestamp-based Partition Key column.
    If you want to set a different partition key seed than the default key, you can specify the long or timestamp column as the partitioning time. As a default time column, it uses upload_time with the add_time filter.

  8. Select the Timezone for your data storage.

  9. Under Schedule, you can choose when and how often you want to run this query.

    • Run once:
      1. Select Off.

      2. Select Scheduling Timezone.

      3. Select Create & Run Now.

    • Repeat the query:

      1. Select On.

      2. Select the Schedule. The UI provides these four options: @hourly, @daily and @monthly or custom cron.

      3. You can also select Delay Transfer and add a delay of execution time.

      4. Select Scheduling Timezone.

      5. Select Create & Run Now.

 After your transfer has run, you can see the results of your transfer in Data Workbench > Databases.


Verifying Results

Review the job log. Warning and errors provide information about the success of your import.

You can read more about locating the source file names associated with import errors.





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