Google Ads to BigQuery template

Beta

This feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the Service Specific Terms. Pre-GA features are available "as is" and might have limited support. For more information, see the launch stage descriptions.

The Google Ads to BigQuery template is a batch pipeline that reads Google Ads reports and writes to BigQuery.

Pipeline requirements

• The Google Ads account IDs to be used.
• The Google Ads Query Language query to obtain the data.
• OAuth credentials for the Google Ads API.

Template parameters

Required parameters

• customerIds: A list of Google Ads account IDs to use to execute the query. For example, 12345,67890.
• query: The query to use to get the data. See Google Ads Query Language (https://developers.google.com/google-ads/api/docs/query/overview). For example, SELECT campaign.id, campaign.name FROM campaign.
• qpsPerWorker: The rate of query requests per second (QPS) to submit to Google Ads. Divide the desired per pipeline QPS by the maximum number of workers. Avoid exceeding per-account or developer token limits. See Rate Limits (https://developers.google.com/google-ads/api/docs/best-practices/rate-limits).
• googleAdsClientId: The OAuth 2.0 client ID that identifies the application. See Create a client ID and client secret (https://developers.google.com/google-ads/api/docs/oauth/cloud-project#create_a_client_id_and_client_secret).
• googleAdsClientSecret: The OAuth 2.0 client secret that corresponds to the specified client ID. See Create a client ID and client secret (https://developers.google.com/google-ads/api/docs/oauth/cloud-project#create_a_client_id_and_client_secret).
• googleAdsRefreshToken: The OAuth 2.0 refresh token to use to connect to the Google Ads API. See 2-Step Verification (https://developers.google.com/google-ads/api/docs/oauth/2sv).
• googleAdsDeveloperToken: The Google Ads developer token to use to connect to the Google Ads API. See Obtain a developer token (https://developers.google.com/google-ads/api/docs/get-started/dev-token).
• outputTableSpec: The BigQuery output table location to write the output to. For example, <PROJECT_ID>:<DATASET_NAME>.<TABLE_NAME>.Depending on the createDisposition specified, the output table might be created automatically using the user provided Avro schema.

Optional parameters

• loginCustomerId: A Google Ads manager account ID to use to access the account IDs. For example, 12345.
• bigQueryTableSchemaPath: The Cloud Storage path to the BigQuery schema JSON file. If this value is not set, then the schema is inferred from the Proto schema. For example, gs://MyBucket/bq_schema.json.
• writeDisposition: The BigQuery WriteDisposition (https://cloud.google.com/bigquery/docs/reference/rest/v2/Job#jobconfigurationload) value. For example, WRITE_APPEND, WRITE_EMPTY, or WRITE_TRUNCATE. Defaults to WRITE_APPEND.
• createDisposition: The BigQuery CreateDisposition (https://cloud.google.com/bigquery/docs/reference/rest/v2/Job#jobconfigurationload). For example, CREATE_IF_NEEDED and CREATE_NEVER. Defaults to CREATE_IF_NEEDED.

Run the template

Console

1. Go to the Dataflow Create job from template page.
Go to Create job from template
2. In the Job name field, enter a unique job name.
3. Optional: For Regional endpoint, select a value from the drop-down menu. The default region is us-central1.

   For a list of regions where you can run a Dataflow job, see Dataflow locations.

4. From the Dataflow template drop-down menu, select the Google Ads to BigQuery template.
5. In the provided parameter fields, enter your parameter values.
6. Click Run job.

gcloud

Note: To use the Google Cloud CLI to run flex templates, you must have Google Cloud CLI version 284.0.0 or later.

In your shell or terminal, run the template:

gcloud dataflow flex-template run JOB_NAME \
    --template-file-gcs-location=gs://dataflow-templates-REGION_NAME/VERSION/flex/Google_Ads_to_BigQuery \
    --project=PROJECT_ID \
    --region=REGION_NAME \
    --parameters \
       customerIds=CUSTOMER_IDS,\
       query=QUERY,\
       qpsPerWorker=QPS_PER_WORKER,\
       googleAdsClientId=GOOGLE_ADS_CLIENT_ID,\
       googleAdsClientSecret=GOOGLE_ADS_CLIENT_SECRET,\
       googleAdsRefreshToken=GOOGLE_ADS_REFRESH_TOKEN,\
       googleAdsDeveloperToken=GOOGLE_ADS_DEVELOPER_TOKEN,\
       outputTableSpec=OUTPUT_TABLE_SPEC,\

Replace the following:

• JOB_NAME: a unique job name of your choice
• VERSION: the version of the template that you want to use

  You can use the following values:

  • latest to use the latest version of the template, which is available in the non-dated parent folder in the bucket— gs://dataflow-templates-REGION_NAME/latest/
  • the version name, like 2023-09-12-00_RC00, to use a specific version of the template, which can be found nested in the respective dated parent folder in the bucket— gs://dataflow-templates-REGION_NAME/
  Caution: The latest version of templates might update with breaking changes. Your production environments should use templates kept in the most recent dated parent folder to prevent these breaking changes from affecting your production workflows.
• REGION_NAME: the region where you want to deploy your Dataflow job—for example, us-central1
• CUSTOMER_IDS: the Google Ads account IDs
• QUERY: the Google Ads Query Language query
• QPS_PER_WORKER: the required Google Ads request rate per worker
• GOOGLE_ADS_CLIENT_ID: the OAuth 2.0 client ID that identifies the application
• GOOGLE_ADS_CLIENT_SECRET: the OAuth 2.0 client secret that corresponds with the specified client ID
• GOOGLE_ADS_REFRESH_TOKEN: the OAuth 2.0 refresh token to use to connect to the Google Ads API
• GOOGLE_ADS_DEVELOPER_TOKEN: the Google Ads developer token to use to connect to the Google Ads API
• OUTPUT_TABLE_SPEC: the BigQuery output table

API

To run the template using the REST API, send an HTTP POST request. For more information on the API and its authorization scopes, see projects.templates.launch.

POST https://dataflow.googleapis.com/v1b3/projects/PROJECT_ID/locations/LOCATION/flexTemplates:launch
{
   "launchParameter": {
     "jobName": "JOB_NAME",
     "parameters": {
       "customerIds": "CUSTOMER_IDS",
       "query": "QUERY",
       "qpsPerWorker": "QPS_PER_WORKER",
       "googleAdsClientId": "GOOGLE_ADS_CLIENT_ID",
       "googleAdsClientSecret": "GOOGLE_ADS_CLIENT_SECRET",
       "googleAdsRefreshToken": "GOOGLE_ADS_REFRESH_TOKEN",
       "googleAdsDeveloperToken": "GOOGLE_ADS_DEVELOPER_TOKEN",
       "outputTableSpec": "OUTPUT_TABLE_SPEC",
     },
     "containerSpecGcsPath": "gs://dataflow-templates-LOCATION/VERSION/flex/Google_Ads_to_BigQuery",
     "environment": { "maxWorkers": "10" }
  }
}

Replace the following:

• PROJECT_ID: the Google Cloud project ID where you want to run the Dataflow job
• JOB_NAME: a unique job name of your choice
• VERSION: the version of the template that you want to use

  You can use the following values:

  • latest to use the latest version of the template, which is available in the non-dated parent folder in the bucket— gs://dataflow-templates-REGION_NAME/latest/
  • the version name, like 2023-09-12-00_RC00, to use a specific version of the template, which can be found nested in the respective dated parent folder in the bucket— gs://dataflow-templates-REGION_NAME/
  Caution: The latest version of templates might update with breaking changes. Your production environments should use templates kept in the most recent dated parent folder to prevent these breaking changes from affecting your production workflows.
• LOCATION: the region where you want to deploy your Dataflow job—for example, us-central1
• CUSTOMER_IDS: the Google Ads account IDs
• QUERY: the Google Ads Query Language query
• QPS_PER_WORKER: the required Google Ads request rate per worker
• GOOGLE_ADS_CLIENT_ID: the OAuth 2.0 client ID that identifies the application
• GOOGLE_ADS_CLIENT_SECRET: the OAuth 2.0 client secret that corresponds with the specified client ID
• GOOGLE_ADS_REFRESH_TOKEN: the OAuth 2.0 refresh token to use to connect to the Google Ads API
• GOOGLE_ADS_DEVELOPER_TOKEN: the Google Ads developer token to use to connect to the Google Ads API
• OUTPUT_TABLE_SPEC: the BigQuery output table

Template source code

Java

/*
 * Copyright (C) 2023 Google LLC
 *
 * Licensed under the Apache License, Version 2.0 (the "License"); you may not
 * use this file except in compliance with the License. You may obtain a copy of
 * the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
 * License for the specific language governing permissions and limitations under
 * the License.
 */
package com.google.cloud.teleport.v2.templates;

import com.google.ads.googleads.v17.services.GoogleAdsRow;
import com.google.cloud.teleport.metadata.Template;
import com.google.cloud.teleport.metadata.TemplateCategory;
import com.google.cloud.teleport.metadata.TemplateParameter;
import com.google.cloud.teleport.v2.options.BigQueryCommonOptions.WriteOptions;
import com.google.cloud.teleport.v2.transforms.BigQueryConverters;
import com.google.cloud.teleport.v2.transforms.GoogleAdsRowToReportRowJsonFn;
import com.google.cloud.teleport.v2.utils.GCSUtils;
import com.google.cloud.teleport.v2.utils.GoogleAdsRateLimitPolicyFactory;
import com.google.cloud.teleport.v2.utils.GoogleAdsUtils;
import com.google.common.collect.ImmutableList;
import java.util.List;
import org.apache.beam.sdk.Pipeline;
import org.apache.beam.sdk.PipelineResult;
import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO;
import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.Write;
import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.Write.CreateDisposition;
import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.Write.WriteDisposition;
import org.apache.beam.sdk.io.googleads.GoogleAdsIO;
import org.apache.beam.sdk.io.googleads.GoogleAdsOptions;
import org.apache.beam.sdk.options.PipelineOptionsFactory;
import org.apache.beam.sdk.options.Validation;
import org.apache.beam.sdk.transforms.Create;
import org.apache.beam.sdk.transforms.ParDo;
import org.apache.beam.sdk.values.PCollection;
import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.base.Strings;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

/**
 * A template for writing <a href=
 * "https://developers.google.com/google-ads/api/docs/reporting/overview">Google Ads reports</a> to
 * BigQuery.
 *
 * <p>Nested fields are lifted to top-level fields by replacing the dots in field paths with
 * underscores.
 *
 * <p>Check out <a
 * href="https://github.com/GoogleCloudPlatform/DataflowTemplates/blob/main/v2/README_Google_Ads_to_BigQuery.md">README</a>
 * for instructions on how to use or modify this template.
 */
@Template(
    name = "Google_Ads_to_BigQuery",
    category = TemplateCategory.BATCH,
    displayName = "Google Ads to BigQuery",
    description =
        "The Google Ads to BigQuery template is a batch pipeline that reads Google Ads reports and writes to BigQuery.",
    optionsClass = GoogleAdsToBigQuery.GoogleAdsToBigQueryOptions.class,
    flexContainerName = "google-ads-to-bigquery",
    contactInformation = "https://cloud.google.com/support",
    documentation =
        "https://cloud.google.com/dataflow/docs/guides/templates/provided/google-ads-to-bigquery",
    requirements = {
      "The Google Ads account IDs to use.",
      "The Google Ads Query Language query to obtain information.",
      "OAuth credentials for the Google Ads API."
    },
    preview = true)
public final class GoogleAdsToBigQuery {
  public interface GoogleAdsToBigQueryOptions extends WriteOptions, GoogleAdsOptions {
    @TemplateParameter.Long(
        order = 1,
        optional = true,
        description = "Google Ads manager account ID",
        helpText = "A Google Ads manager account ID to use to access the account IDs.",
        example = "12345")
    Long getLoginCustomerId();

    void setLoginCustomerId(Long loginCustomerId);

    @TemplateParameter.Text(
        order = 2,
        regexes = {"^[0-9]+(,[0-9]+)*$"},
        description = "Google Ads account IDs",
        helpText = "A list of Google Ads account IDs to use to execute the query.",
        example = "12345,67890")
    @Validation.Required
    List<Long> getCustomerIds();

    void setCustomerIds(List<Long> customerIds);

    @TemplateParameter.Text(
        order = 3,
        description = "Google Ads Query Language query",
        helpText =
            "The query to use to get the data. See Google Ads Query Language (https://developers.google.com/google-ads/api/docs/query/overview).",
        example = "SELECT campaign.id, campaign.name FROM campaign")
    @Validation.Required
    String getQuery();

    void setQuery(String query);

    @TemplateParameter.Double(
        order = 4,
        description = "Required Google Ads request rate per worker",
        helpText =
            "The rate of query requests per second (QPS) to submit to Google Ads.  "
                + "Divide the desired per pipeline QPS by the maximum number of workers. "
                + "Avoid exceeding per-account or developer token limits. "
                + "See Rate Limits (https://developers.google.com/google-ads/api/docs/best-practices/rate-limits).")
    Double getQpsPerWorker();

    void setQpsPerWorker(Double qpsPerWorker);

    @TemplateParameter.GcsReadFile(
        order = 5,
        optional = true,
        description = "BigQuery Table Schema Path",
        helpText =
            "The Cloud Storage path to the BigQuery schema JSON file. "
                + "If this value is not set, then the schema is inferred "
                + "from the Proto schema.",
        example = "gs://MyBucket/bq_schema.json")
    String getBigQueryTableSchemaPath();

    void setBigQueryTableSchemaPath(String value);

    @TemplateParameter.Text(
        order = 6,
        description = "OAuth 2.0 Client ID identifying the application",
        helpText =
            "The OAuth 2.0 client ID that identifies the application. See Create a client ID and client secret (https://developers.google.com/google-ads/api/docs/oauth/cloud-project#create_a_client_id_and_client_secret).")
    String getGoogleAdsClientId();

    void setGoogleAdsClientId(String clientId);

    @TemplateParameter.Password(
        order = 7,
        groupName = "Source",
        description = "OAuth 2.0 Client Secret for the specified Client ID",
        helpText =
            "The OAuth 2.0 client secret that corresponds to the specified client ID. See Create a client ID and client secret (https://developers.google.com/google-ads/api/docs/oauth/cloud-project#create_a_client_id_and_client_secret).")
    String getGoogleAdsClientSecret();

    void setGoogleAdsClientSecret(String clientSecret);

    @TemplateParameter.Password(
        order = 8,
        description = "OAuth 2.0 Refresh Token for the user connecting to the Google Ads API",
        helpText =
            "The OAuth 2.0 refresh token to use to connect to the Google Ads API. See 2-Step Verification (https://developers.google.com/google-ads/api/docs/oauth/2sv).")
    String getGoogleAdsRefreshToken();

    void setGoogleAdsRefreshToken(String refreshToken);

    @TemplateParameter.Password(
        order = 9,
        description = "Google Ads developer token for the user connecting to the Google Ads API",
        helpText =
            "The Google Ads developer token to use to connect to the Google Ads API. See Obtain a developer token (https://developers.google.com/google-ads/api/docs/get-started/dev-token).")
    String getGoogleAdsDeveloperToken();

    void setGoogleAdsDeveloperToken(String developerToken);
  }

  private static final Logger LOG = LoggerFactory.getLogger(GoogleAdsToBigQuery.class);

  public static void main(String[] args) {
    run(
        PipelineOptionsFactory.fromArgs(args)
            .withValidation()
            .as(GoogleAdsToBigQueryOptions.class));
  }

  public static PipelineResult run(GoogleAdsToBigQueryOptions options) {
    Pipeline pipeline = Pipeline.create(options);
    double qps = options.getQpsPerWorker();
    String query = options.getQuery();

    PCollection<GoogleAdsRow> googleAdsRows =
        pipeline
            .apply(
                Create.of(
                    options.getCustomerIds().stream()
                        .map(Object::toString)
                        .collect(ImmutableList.toImmutableList())))
            .apply(
                GoogleAdsIO.v17()
                    .read()
                    .withDeveloperToken(options.getGoogleAdsDeveloperToken())
                    .withLoginCustomerId(options.getLoginCustomerId())
                    .withQuery(options.getQuery())
                    .withRateLimitPolicy(new GoogleAdsRateLimitPolicyFactory(qps)));

    PCollection<String> reportRows =
        googleAdsRows.apply(ParDo.of(new GoogleAdsRowToReportRowJsonFn(query)));

    Write<String> write =
        BigQueryIO.<String>write()
            .withoutValidation()
            .withWriteDisposition(WriteDisposition.valueOf(options.getWriteDisposition()))
            .withCreateDisposition(CreateDisposition.valueOf(options.getCreateDisposition()))
            .withFormatFunction(BigQueryConverters::convertJsonToTableRow)
            .to(options.getOutputTableSpec());

    String schemaPath = options.getBigQueryTableSchemaPath();

    if (Strings.isNullOrEmpty(schemaPath)) {
      write = write.withSchema(GoogleAdsUtils.createBigQuerySchema(query));
    } else {
      write = write.withJsonSchema(GCSUtils.getGcsFileAsString(schemaPath));
    }

    reportRows.apply("WriteToBigQuery", write);

    return pipeline.run();
  }
}

What's next

• Learn about Dataflow templates.
• See the list of Google-provided templates.