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The Trade Desk Import Int...
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The Trade Desk Import Integration Using CLI

Install the Treasure Data Toolbelt

Install the newest Treasure Data Toolbelt

Create a Configuration File (load.yml)

The configuration file includes an in: section where you specify what comes into the connector from The Trade Desk and an out: section where you specify what the connector puts out to the database in Treasure Data. For more details on available out modes, see the Appendix.

The following example shows how to specify import Advertiser.

in:
  type: the_trade_desk
  login_credential: login_credential
  password: password
  target: advertiser
out:
  mode: append 

The following example shows how to specify the import Campaign.

in:
  type: the_trade_desk
  login_credential: login_credential
  password: password
  target: campaign
  advertiser_id: advertiser_id1, advertiser_id2, advertiser_id3
out:
 mode: append

The following example shows how to specify an import Data Group.

in:
  type: the_trade_desk
  login_credential: login_credential
  password: password
  target: data_group
  advertiser_id: advertiser_id1, advertiser_id2, advertiser_id3
out:
 mode: append

The following example shows how to specify import Tracking Tags.

in:
  type: the_trade_desk
  login_credential: login_credential
  password: password
  target: tracking_tags
  advertiser_id: advertiser_id1, advertiser_id2, advertiser_id3
out:
 mode: append

Preview the Data to be Imported (Optional)

You can preview data to be imported using the command td connector:preview.

$ td connector:preview load.yml 

Execute the Load Job

You use td connector:issue to execute the job.

You must specify the database and table where you want to store the data before you execute the load job.  Ex td_sample_db, td_sample_table

$ td connector:issue load.yml \ 
     --database td_sample_db \ 
     --table td_sample_table \ 
     --time-column date_time_column

It is recommended to specify --time-column option, because Treasure Data’s storage is partitioned by time. If the option is not given, the data connector selects the first long or timestamp column as the partitioning time. The type of the column, specified by --time-column, must be either of long or timestamp type (use Preview results to check for the available column name and type. Generally, most data types have a last_modified_date column).

If your data doesn’t have a time column, you can add the column by using the add_time filter option. See details at add_time filter plugin.

td connector:issue assumes you have already created a database (sample_db) and a table (sample_table). If the database or the table do not exist in TD, td connector:issue will fail. Therefore, you must create the database and table manually or use --auto-create-table with td connector:issue to automatically create the database and table.

$ td connector:issue load.yml \ 
      --database td_sample_db \ 
      --table td_sample_table \ 
      --time-column date_time_column \
      --auto-create-table

From the command line, submit the load job. Processing might take a couple of hours depending on the data size.

Appendix

Modes for the out plugin

You can specify file import mode in the out section of the load.yml file.

The out: section controls how data is imported into a Treasure Data table.
For example, you may choose to append data or replace data in an existing table in Treasure Data.

Output modes are ways to modify the data as the data is placed in Treasure Data.

  • Append (default): Records are appended to the target table.
  • Replace (available In td 0.11.10 and later): Replaces data in the target table. Any manual schema changes made to the target table remain intact.

Examples:

in:
  ...
out:
  mode: append
in:
  ...
out:
  mode: replace

Invalid ID error handling

When users input a string of invalid ID (Advertiser IDs), the first invalid ID is detected and an error message is shown. If an invalid ID is not the first ID, the invalid ID is not detected and the job runs but invalid IDs are shown in output log.

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