Flujo de uso

Sigue estos pasos para usar el procesamiento por lotes:

Crea un trabajo por lotes nuevo

Para crear un recurso BatchJob, llama a MutateBatchJob. Cuando construyas el objeto BatchJob, puedes establecer de forma opcional metadata.execution_limit_seconds para configurar un límite superior, en segundos, sobre cuánto tiempo puede ejecutarse el trabajo antes de que se cancele automáticamente (consulta Orientación adicional sobre el uso).

Java

private String createBatchJob(BatchJobServiceClient batchJobServiceClient, long customerId) {
  BatchJobOperation operation =
      BatchJobOperation.newBuilder().setCreate(BatchJob.newBuilder().build()).build();
  String batchJobResourceName =
      batchJobServiceClient
          .mutateBatchJob(Long.toString(customerId), operation)
          .getResult()
          .getResourceName();
  System.out.printf("Created a mutate job with resource name: '%s'.%n", batchJobResourceName);

  return batchJobResourceName;
}

C#

private static string CreateBatchJob(BatchJobServiceClient batchJobService,
    long customerId)
{
    BatchJobOperation operation = new BatchJobOperation()
    {
        Create = new BatchJob()
        {
        }
    };
    string batchJobResourceName =
        batchJobService.MutateBatchJob(customerId.ToString(), operation)
        .Result.ResourceName;
    Console.WriteLine($"Created a batch job with resource name: " +
        $"'{batchJobResourceName}'.");

    return batchJobResourceName;
}

PHP

private static function createBatchJob(
    BatchJobServiceClient $batchJobServiceClient,
    int $customerId
): string {
    // Creates a batch job operation to create a new batch job.
    $batchJobOperation = new BatchJobOperation();
    $batchJobOperation->setCreate(new BatchJob());

    // Issues a request to the API and get the batch job's resource name.
    $batchJobResourceName = $batchJobServiceClient->mutateBatchJob(
        MutateBatchJobRequest::build($customerId, $batchJobOperation)
    )->getResult()->getResourceName();
    printf(
        "Created a batch job with resource name: '%s'.%s",
        $batchJobResourceName,
        PHP_EOL
    );
    return $batchJobResourceName;
}

Python

def create_batch_job(
    batch_job_service: BatchJobServiceClient,
    customer_id: str,
    batch_job_operation: BatchJobOperation,
) -> str:
    """Creates a batch job for the specified customer ID.

    Args:
        batch_job_service: an instance of the BatchJobService message class.
        customer_id: a str of a customer ID.
        batch_job_operation: a BatchJobOperation instance set to "create"

    Returns: a str of a resource name for a batch job.
    """
    try:
        response: MutateBatchJobResponse = batch_job_service.mutate_batch_job(
            customer_id=customer_id, operation=batch_job_operation
        )
        resource_name: str = response.result.resource_name
        print(f'Created a batch job with resource name "{resource_name}"')
        return resource_name
    except GoogleAdsException as exception:
        handle_googleads_exception(exception)
        # This line will likely not be reached due to sys.exit(1) in handle_googleads_exception
        # but to satisfy the type checker, we add a return statement.
        return ""  # Or raise an exception

Ruby

def create_batch_job(client, batch_job_service, customer_id)
  # Creates a batch job operation to create a new batch job.
  operation = client.operation.create_resource.batch_job

  # Issues a request to the API and get the batch job's resource name.
  response = batch_job_service.mutate_batch_job(
    customer_id: customer_id,
    operation: operation
  )

  batch_job_resource_name = response.result.resource_name
  puts "Created a batch job with resource name: '#{batch_job_resource_name}'"

  batch_job_resource_name
end

Perl

sub create_batch_job {
  my ($batch_job_service, $customer_id) = @_;

  # Create a batch job operation.
  my $batch_job_operation =
    Google::Ads::GoogleAds::V25::Services::BatchJobService::BatchJobOperation->
    new({create => Google::Ads::GoogleAds::V25::Resources::BatchJob->new({})});

  my $batch_job_resource_name = $batch_job_service->mutate({
      customerId => $customer_id,
      operation  => $batch_job_operation
    })->{result}{resourceName};

  printf
    "Created a batch job with resource name: '%s'.\n",
    $batch_job_resource_name;

  return $batch_job_resource_name;
}

curl

# Creates a batch job.
#
# Variables:
#   API_VERSION,
#   CUSTOMER_ID,
#   DEVELOPER_TOKEN,
#   MANAGER_CUSTOMER_ID,
#   OAUTH2_ACCESS_TOKEN:
#     See https://developers.google.com/google-ads/api/rest/auth#request_headers
#     for details.

curl -f --request POST \
"https://googleads.googleapis.com/v${API_VERSION}/customers/${CUSTOMER_ID}/batchJobs:mutate" \
--header "Content-Type: application/json" \
--header "developer-token: ${DEVELOPER_TOKEN}" \
--header "login-customer-id: ${MANAGER_CUSTOMER_ID}" \
--header "Authorization: Bearer ${OAUTH2_ACCESS_TOKEN}" \
--data @- <<EOF
{
  "operation": {
    "create": {}
  }
}
EOF

En este punto del proceso, el status del trabajo es PENDING.

Agrega operaciones de mutación al trabajo por lotes

Agrega uno o más objetos MutateOperation al trabajo por lotes creado en el paso anterior llamando a AddBatchJobOperations. La respuesta contiene lo siguiente:

  • total_operations: Es la cantidad total de operaciones agregadas hasta el momento para este trabajo.
  • next_sequence_token: Es el token de secuencia que se debe pasar en el campo sequence_token cuando se vuelve a llamar a este método para agregar más operaciones.

La primera solicitud AddBatchJobOperations para un trabajo por lotes debe omitir sequence_token. Cuando vuelvas a llamar a AddBatchJobOperations para agregar más operaciones, especifica el token de secuencia obtenido anteriormente en el campo sequence_token de la solicitud. Si se llama al método con una lista mutate_operations vacía, se muestra un error BatchJobError.EMPTY_OPERATIONS. Si se llama con cualquier token de secuencia que no sea el que se obtuvo anteriormente, se muestra un error BatchJobError.INVALID_SEQUENCE_TOKEN. Si se intenta agregar operaciones después de que se inicia la ejecución del trabajo, se muestra un error BatchJobError.CANNOT_MODIFY_JOB_AFTER_JOB_STARTS_RUNNING.

Mientras que el status del trabajo por lotes es PENDING, sequence_token también está disponible como next_add_sequence_token en el recurso BatchJob, que puedes recuperar más adelante.

Si creas objetos dependientes, como una campaña completa que consta de una campaña nueva y los grupos de anuncios, los anuncios y las palabras clave correspondientes, puedes usar IDs temporales para especificar un nombre de recurso.

Java

private void addAllBatchJobOperations(
    BatchJobServiceClient batchJobServiceClient, long customerId, String batchJobResourceName) {
  AddBatchJobOperationsResponse response =
      batchJobServiceClient.addBatchJobOperations(
          AddBatchJobOperationsRequest.newBuilder()
              .setResourceName(batchJobResourceName)
              .addAllMutateOperations(buildAllOperations(customerId))
              .build());
  System.out.printf(
      "%d mutate operations have been added so far.%n", response.getTotalOperations());

  // You can use this next sequence token for calling addBatchJobOperations() next time.
  System.out.printf(
      "Next sequence token for adding next operations is '%s'.%n",
      response.getNextSequenceToken());
}

C#

private static void AddAllBatchJobOperations(BatchJobServiceClient batchJobService,
    long customerId, string batchJobResourceName)
{
    AddBatchJobOperationsResponse response =
        batchJobService.AddBatchJobOperations(
            new AddBatchJobOperationsRequest()
            {
                ResourceName = batchJobResourceName,
                MutateOperations = { BuildAllOperations(customerId) }
            });
    Console.WriteLine($"{response.TotalOperations} mutate operations have been added" +
        $" so far.");

    // You can use this next sequence token for calling AddBatchJobOperations() next time.
    Console.WriteLine($"Next sequence token for adding next operations is " +
        $"'{response.NextSequenceToken}'.");
}

PHP

private static function addAllBatchJobOperations(
    BatchJobServiceClient $batchJobServiceClient,
    int $customerId,
    string $batchJobResourceName
): void {
    $response = $batchJobServiceClient->addBatchJobOperations(
        AddBatchJobOperationsRequest::build(
            $batchJobResourceName,
            '',
            self::buildAllOperations($customerId)
        )
    );
    printf(
        "%d mutate operations have been added so far.%s",
        $response->getTotalOperations(),
        PHP_EOL
    );
    // You can use this next sequence token for calling addBatchJobOperations() next time.
    printf(
        "Next sequence token for adding next operations is '%s'.%s",
        $response->getNextSequenceToken(),
        PHP_EOL
    );
}

Python

def add_all_batch_job_operations(
    batch_job_service: BatchJobServiceClient,
    operations: List[MutateOperation],
    resource_name: str,
) -> None:
    """Adds all mutate operations to the batch job.

    As this is the first time for this batch job, we pass null as a sequence
    token. The response will contain the next sequence token that we can use
    to upload more operations in the future.

    Args:
        batch_job_service: an instance of the BatchJobService message class.
        operations: a list of a mutate operations.
        resource_name: a str of a resource name for a batch job.
    """
    try:
        response: AddBatchJobOperationsResponse = (
            batch_job_service.add_batch_job_operations(
                resource_name=resource_name,
                sequence_token=None,  # type: ignore
                mutate_operations=operations,
            )
        )

        print(
            f"{response.total_operations} mutate operations have been "
            "added so far."
        )

        # You can use this next sequence token for calling
        # add_batch_job_operations() next time.
        print(
            "Next sequence token for adding next operations is "
            f"{response.next_sequence_token}"
        )
    except GoogleAdsException as exception:
        handle_googleads_exception(exception)

Ruby

def add_all_batch_job_operations(
  client,
  batch_job_service,
  customer_id,
  batch_job_resource_name)
  response = batch_job_service.add_batch_job_operations(
    resource_name: batch_job_resource_name,
    mutate_operations: build_all_operations(client, customer_id),
  )
  puts "#{response.total_operations} mutate operations have been added so far."

  # You can use this next sequence token for calling
  # add_all_batch_job_operations() next time
  puts "Next sequence token for adding next operations is " \
    "'#{response.next_sequence_token}'"
end

Perl

sub add_all_batch_job_operations {
  my ($batch_job_service, $customer_id, $batch_job_resource_name) = @_;

  my $add_batch_job_operations_response = $batch_job_service->add_operations({
      resourceName     => $batch_job_resource_name,
      sequenceToken    => undef,
      mutateOperations => build_all_operations($customer_id)});

  printf
    "%d batch operations have been added so far.\n",
    $add_batch_job_operations_response->{totalOperations};

  # You can use this next sequence token for calling add_operations() next time.
  printf
    "Next sequence token for adding next operations is '%s'.\n",
    $add_batch_job_operations_response->{nextSequenceToken};
}

curl

# Adds operations to a batch job.
#
# Variables:
#   API_VERSION,
#   CUSTOMER_ID,
#   DEVELOPER_TOKEN,
#   MANAGER_CUSTOMER_ID,
#   OAUTH2_ACCESS_TOKEN:
#     See https://developers.google.com/google-ads/api/rest/auth#request_headers
#     for details.
#   BATCH_JOB_RESOURCE_NAME:
#     The resource name of the batch job to which the operations should be added
#     as returned by the previous step.

curl -f --request POST \
"https://googleads.googleapis.com/v${API_VERSION}/${BATCH_JOB_RESOURCE_NAME}:addOperations" \
--header "Content-Type: application/json" \
--header "developer-token: ${DEVELOPER_TOKEN}" \
--header "login-customer-id: ${MANAGER_CUSTOMER_ID}" \
--header "Authorization: Bearer ${OAUTH2_ACCESS_TOKEN}" \
--data @- <<EOF
{
  "mutateOperations": [
    {
      "campaignBudgetOperation": {
        "create": {
          "resourceName": "customers/${CUSTOMER_ID}/campaignBudgets/-1",
          "name": "batch job budget #${RANDOM}",
          "deliveryMethod": "STANDARD",
          "amountMicros": 5000000
        }
      }
    },
    {
      "campaignOperation": {
        "create": {
          "advertisingChannelType": "SEARCH",
          "status": "PAUSED",
          "name": "batch job campaign #${RANDOM}",
          "campaignBudget": "customers/${CUSTOMER_ID}/campaignBudgets/-1",
          "resourceName": "customers/${CUSTOMER_ID}/campaigns/-2",
          "manualCpc": {
          }
        }
      },
    }
  ]
}
EOF

Haz clic para ver el contenido de la función de operaciones de compilación en GitHub para tu biblioteca cliente:

Ejecuta el trabajo por lotes

Después de agregar todas tus operaciones, puedes solicitar a la API de Google Ads que ejecute el trabajo por lotes llamando a RunBatchJob en las operaciones subidas. Si llamas a RunBatchJob después de que el trabajo ya comenzó a ejecutarse, se muestra un error de BatchJobError.CANNOT_MODIFY_JOB_AFTER_JOB_STARTS_RUNNING.

Java

private OperationFuture runBatchJob(
    BatchJobServiceClient batchJobServiceClient, String batchJobResourceName) {
  OperationFuture operationResponse =
      batchJobServiceClient.runBatchJobAsync(batchJobResourceName);

  // BEWARE! The above call returns an OperationFuture. The execution of that future depends on
  // the thread pool which is owned by batchJobServiceClient. If you use this future, you *must*
  // keep the service client in scope too.
  // See https://developers.google.com/google-ads/api/docs/client-libs/java/lro for more detail.

  System.out.printf(
      "Mutate job with resource name '%s' has been executed.%n", batchJobResourceName);

  return operationResponse;
}

C#

private Operation<Empty, BatchJobMetadata> RunBatchJob(
    BatchJobServiceClient batchJobService, string batchJobResourceName)
{
    Operation<Empty, BatchJobMetadata> operationResponse =
        batchJobService.RunBatchJob(batchJobResourceName);
    Console.WriteLine($"Batch job with resource name '{batchJobResourceName}' has been " +
        $"executed.");

    return operationResponse;
}

PHP

private static function runBatchJob(
    BatchJobServiceClient $batchJobServiceClient,
    string $batchJobResourceName
): OperationResponse {
    $operationResponse =
        $batchJobServiceClient->runBatchJob(RunBatchJobRequest::build($batchJobResourceName));
    printf(
        "Batch job with resource name '%s' has been executed.%s",
        $batchJobResourceName,
        PHP_EOL
    );
    return $operationResponse;
}

Python

def run_batch_job(
    batch_job_service: BatchJobServiceClient, resource_name: str
) -> Operation:
    """Runs the batch job for executing all uploaded mutate operations.

    Args:
        batch_job_service: an instance of the BatchJobService message class.
        resource_name: a str of a resource name for a batch job.

    Returns: a google.api_core.operation.Operation instance.
    """
    try:
        response: Operation = batch_job_service.run_batch_job(
            resource_name=resource_name
        )
        print(
            f'Batch job with resource name "{resource_name}" has been '
            "executed."
        )
        return response
    except GoogleAdsException as exception:
        handle_googleads_exception(exception)
        # This line will likely not be reached due to sys.exit(1) in handle_googleads_exception
        # but to satisfy the type checker, we add a return statement.
        # In a real application, you might want to return a dummy Operation or raise an error.
        return Operation(
            op_type_name="type.googleapis.com/google.protobuf.Empty",
            complete=True,
            done_callbacks=[],
            metadata_type=None,
            result_type=None,
        )  # type: ignore

Ruby

def run_batch_job(batch_job_service, batch_job_resource_name)
  operation_response = batch_job_service.run_batch_job(
    resource_name: batch_job_resource_name,
  )
  puts "Batch job with resource name '#{batch_job_resource_name}' " \
    "has been executed."
  operation_response
end

Perl

sub run_batch_job {
  my ($batch_job_service, $batch_job_resource_name) = @_;

  my $batch_job_lro =
    $batch_job_service->run({resourceName => $batch_job_resource_name});

  printf
    "Batch job with resource name '%s' has been executed.\n",
    $batch_job_resource_name;

  return $batch_job_lro;
}

curl

# Runs a batch job.
#
# Variables:
#   API_VERSION,
#   CUSTOMER_ID,
#   DEVELOPER_TOKEN,
#   MANAGER_CUSTOMER_ID,
#   OAUTH2_ACCESS_TOKEN:
#     See https://developers.google.com/google-ads/api/rest/auth#request_headers
#     for details.
#   BATCH_JOB_RESOURCE_NAME:
#     The resource name of the batch job to run as returned by the previous step.

curl -f --request POST \
"https://googleads.googleapis.com/v19/${BATCH_JOB_RESOURCE_NAME}:run" \
--header "Content-Type: application/json" \
--header "developer-token: ${DEVELOPER_TOKEN}" \
--header "login-customer-id: ${MANAGER_CUSTOMER_ID}" \
--header "Authorization: Bearer ${OAUTH2_ACCESS_TOKEN}" \
--data @- <<EOF
{}
EOF

La respuesta que se devuelve es un objeto Operation de larga duración (LRO). El LRO contiene los metadatos de tu trabajo por lotes junto con la información sobre el estado del trabajo.

Sondea el estado del trabajo por lotes hasta que finalice

El siguiente paso es sondear el estado del trabajo por lotes con el GetOperation del LRO hasta que el valor de done del LRO sea true.

Java

private void pollBatchJob(OperationFuture operationResponse) {
  try {
    operationResponse.get(MAX_TOTAL_POLL_INTERVAL_SECONDS, TimeUnit.SECONDS);
  } catch (InterruptedException | ExecutionException | TimeoutException e) {
    System.err.printf("Failed polling the mutate job. Exception: %s%n", e);
    System.exit(1);
  }
}

C#

private static void PollBatchJob(Operation<Empty, BatchJobMetadata> operationResponse)
{
    PollSettings pollSettings = new PollSettings(
        Expiration.FromTimeout(TimeSpan.FromSeconds(MAX_TOTAL_POLL_INTERVAL_SECONDS)),
        TimeSpan.FromSeconds(1));
    operationResponse.PollUntilCompleted(pollSettings);
}

PHP

private static function pollBatchJob(OperationResponse $operationResponse): void
{
    $operationResponse->pollUntilComplete(
        [
        'initialPollDelayMillis' => self::POLL_FREQUENCY_SECONDS * 1000,
        'totalPollTimeoutMillis' => self::MAX_TOTAL_POLL_INTERVAL_SECONDS * 1000
        ]
    );
}

Python

def poll_batch_job(
    operations_response: Operation, event: asyncio.Event
) -> None:
    """Polls the server until the batch job execution finishes.

    Sets the initial poll delay time and the total time to wait before time-out.

    Args:
        operations_response: a google.api_core.operation.Operation instance.
        event: an instance of asyncio.Event to invoke once the operations have
            completed, alerting the awaiting calling code that it can proceed.
    """
    loop: asyncio.AbstractEventLoop = asyncio.get_event_loop()

    def done_callback(future: Coroutine[Any, Any, Any]) -> None:
        # The operations_response object will call callbacks from a daemon
        # thread so we must use a threadsafe method of setting the event here
        # otherwise it will not trigger the awaiting code.
        loop.call_soon_threadsafe(event.set)

    # operations_response represents a Long-Running Operation or LRO. The class
    # provides an interface for polling the API to check when the operation is
    # complete. Below we use the asynchronous interface, but there's also a
    # synchronous interface that uses the Operation.result method.
    # See: https://googleapis.dev/python/google-api-core/latest/operation.html
    operations_response.add_done_callback(done_callback)  # type: ignore

Ruby

def poll_batch_job(operation_response)
  operation_response.wait_until_done!
end

Perl

sub poll_batch_job {
  my ($operation_service, $batch_job_lro) = @_;

  $operation_service->poll_until_done({
    name                 => $batch_job_lro->{name},
    pollFrequencySeconds => POLL_FREQUENCY_SECONDS,
    pollTimeoutSeconds   => POLL_TIMEOUT_SECONDS
  });
}

curl

# Gets the status of a batch job.
#
# Variables:
#   API_VERSION,
#   CUSTOMER_ID,
#   DEVELOPER_TOKEN,
#   MANAGER_CUSTOMER_ID,
#   OAUTH2_ACCESS_TOKEN:
#     See https://developers.google.com/google-ads/api/rest/auth#request_headers
#     for details.
#   BATCH_JOB_OPERATION_NAME:
#     The operation name of the running batch job as returned by the previous
#     step.

curl -f --request GET \
"https://googleads.googleapis.com/v${API_VERSION}/${BATCH_JOB_OPERATION_NAME}" \
--header "Content-Type: application/json" \
--header "developer-token: ${DEVELOPER_TOKEN}" \
--header "login-customer-id: ${MANAGER_CUSTOMER_ID}" \
--header "Authorization: Bearer ${OAUTH2_ACCESS_TOKEN}" \

Recupera una operación existente de larga duración

Si tu aplicación sondea trabajos por lotes desde un proceso separado o necesita reanudar el sondeo después de un reinicio, puedes recuperar el nombre de la operación de larga duración con GoogleAdsService.Search o GoogleAdsService.SearchStream:

  1. Consulta el recurso batch_job para leer su campo long_running_operation:

    SELECT
  batch_job.id,
  batch_job.status,
  batch_job.long_running_operation
FROM batch_job
WHERE batch_job.id = BATCH_JOB_ID

  2. Verifica que batch_job.status sea RUNNING o DONE (long_running_operation solo se propaga después de que se llama a RunBatchJob y se anula mientras el trabajo es PENDING) y lee la cadena long_running_operation del objeto BatchJob que se devolvió.

  3. Pasa esa cadena del nombre de la operación a GetOperation en el OperationsClient de tu biblioteca cliente para inspeccionar o reanudar la sondeo de Operation.

Comprende los metadatos de la operación

Cuando sondea la operación de larga duración, el campo metadata en la respuesta Operation proporciona detalles adicionales sobre el progreso del trabajo por lotes. Este campo contiene un objeto BatchJobMetadata. Entre los subcampos clave, se incluyen los siguientes:

  • creation_date_time: Es la marca de tiempo en la que se creó el trabajo por lotes.
  • start_date_time: Es la marca de tiempo en la que comenzó a ejecutarse el trabajo por lotes.
  • completion_date_time: Es la marca de tiempo en la que finalizó el trabajo por lotes (solo está presente si el trabajo finalizó).
  • estimated_completion_ratio: Es una estimación de la fracción del trabajo (de 0.0 a 1.0) que se completó.
  • operation_count: Es la cantidad total de operaciones en el trabajo por lotes.
  • executed_operation_count: Es la cantidad de operaciones que se ejecutaron hasta el momento.
  • execution_limit_seconds: Es el límite superior aproximado, en segundos, del tiempo que puede ejecutarse el trabajo por lotes antes de que se cancele.

Estos campos, en especial estimated_completion_ratio y los recuentos de operaciones, pueden ayudarte a evaluar el progreso del trabajo, estimar el tiempo restante y ajustar la frecuencia de sondeo. Por ejemplo, puedes sondear con menos frecuencia cuando el estimated_completion_ratio es bajo y con más frecuencia a medida que se acerca a 1.0.

Enumera todos los resultados de los trabajos por lotes

Cuando finalicen todos tus trabajos por lotes, usa ListBatchJobResults para enumerar sus resultados y, luego, imprime sus estados y respuestas:

Java

private void fetchAndPrintResults(
    BatchJobServiceClient batchJobServiceClient, String batchJobResourceName) {
  System.out.printf(
      "Mutate job with resource name '%s' has finished. Now, printing its results...%n",
      batchJobResourceName);
  // Gets all the results from running mutate job and prints their information.
  ListBatchJobResultsPagedResponse batchJobResults =
      batchJobServiceClient.listBatchJobResults(
          ListBatchJobResultsRequest.newBuilder()
              .setResourceName(batchJobResourceName)
              .setPageSize(PAGE_SIZE)
              .build());
  for (BatchJobResult batchJobResult : batchJobResults.iterateAll()) {
    System.out.printf(
        "Mutate job #%d has a status '%s' and response of type '%s'.%n",
        batchJobResult.getOperationIndex(),
        batchJobResult.getStatus().getMessage().isEmpty()
            ? "N/A"
            : batchJobResult.getStatus().getMessage(),
        batchJobResult
                .getMutateOperationResponse()
                .getResponseCase()
                .equals(ResponseCase.RESPONSE_NOT_SET)
            ? "N/A"
            : batchJobResult.getMutateOperationResponse().getResponseCase());
  }
}

C#

private static void FetchAndPrintResults(BatchJobServiceClient batchJobService,
    string batchJobResourceName)
{
    Console.WriteLine($"batch job with resource name '{batchJobResourceName}' has " +
        $"finished. Now, printing its results...");

    ListBatchJobResultsRequest request = new ListBatchJobResultsRequest()
    {
        ResourceName = batchJobResourceName,
        PageSize = PAGE_SIZE,
    };
    ListBatchJobResultsResponse resp = new ListBatchJobResultsResponse();
    // Gets all the results from running batch job and prints their information.
    foreach (BatchJobResult batchJobResult in
        batchJobService.ListBatchJobResults(request))
    {
        if (!batchJobResult.IsFailed)
        {
            Console.WriteLine($"batch job result #{batchJobResult.OperationIndex} is " +
                $"successful and response is of type " +
                $"'{batchJobResult.MutateOperationResponse.ResponseCase}'.");
        }
        else
        {
            Console.WriteLine($"batch job result #{batchJobResult.OperationIndex} " +
                $"failed with error message {batchJobResult.Status.Message}.");

            foreach (GoogleAdsError error in batchJobResult.Failure.Errors)
            {
                Console.WriteLine($"Error found: {error}.");
            }
        }
    }
}

PHP

    private static function fetchAndPrintResults(
        BatchJobServiceClient $batchJobServiceClient,
        string $batchJobResourceName
    ): void {
        printf(
            "Batch job with resource name '%s' has finished. Now, printing its results...%s",
            $batchJobResourceName,
            PHP_EOL
        );
        // Gets all the results from running batch job and print their information.
        $batchJobResults = $batchJobServiceClient->listBatchJobResults(
            ListBatchJobResultsRequest::build($batchJobResourceName)->setPageSize(self::PAGE_SIZE)
        );
        foreach ($batchJobResults->iterateAllElements() as $batchJobResult) {
            /**
 * @var BatchJobResult $batchJobResult
*/
            printf(
                "Batch job #%d has a status '%s' and response of type '%s'.%s",
                $batchJobResult->getOperationIndex(),
                $batchJobResult->getStatus()
                    ? $batchJobResult->getStatus()->getMessage() : 'N/A',
                $batchJobResult->getMutateOperationResponse()
                    ? $batchJobResult->getMutateOperationResponse()->getResponse()
                    : 'N/A',
                PHP_EOL
            );
        }
    }

Python

def fetch_and_print_results(
    client: GoogleAdsClient,
    batch_job_service: BatchJobServiceClient,
    resource_name: str,
) -> None:
    """Prints all the results from running the batch job.

    Args:
        client: an initialized GoogleAdsClient instance.
        batch_job_service: an instance of the BatchJobService message class.
        resource_name: a str of a resource name for a batch job.
    """
    print(
        f'Batch job with resource name "{resource_name}" has finished. '
        "Now, printing its results..."
    )

    list_results_request: ListBatchJobResultsRequest = client.get_type(
        "ListBatchJobResultsRequest"
    )
    list_results_request.resource_name = resource_name
    list_results_request.page_size = 1000
    # Gets all the results from running batch job and prints their information.
    batch_job_results: ListBatchJobResultsResponse = (
        batch_job_service.list_batch_job_results(request=list_results_request)
    )

    for batch_job_result in batch_job_results:
        status: str = batch_job_result.status.message
        status = status if status else "N/A"
        result: Any = batch_job_result.mutate_operation_response
        result = result or "N/A"
        print(
            f"Batch job #{batch_job_result.operation_index} "
            f'has a status "{status}" and response type "{result}"'
        )

Ruby

def fetch_and_print_results(batch_job_service, batch_job_resource_name)
  puts "Batch job with resource name '#{batch_job_resource_name}' has " \
    "finished. Now, printing its results..." \

  # Gets all the results from running batch job and print their information.
  batch_job_results = batch_job_service.list_batch_job_results(
    resource_name: batch_job_resource_name,
    page_size: PAGE_SIZE,
  )
  batch_job_results.each do |result|
    puts "Batch job ##{result.operation_index} has a status " \
      "#{result.status ? result.status.message : 'N/A'} and response of type " \
      "#{result.mutate_operation_response ? result.mutate_operation_response.response : 'N/A'}"
  end
end

Perl

sub fetch_and_print_results {
  my ($batch_job_service, $batch_job_resource_name) = @_;

  printf "Batch job with resource name '%s' has finished. " .
    "Now, printing its results...\n", $batch_job_resource_name;

  # Get all the results from running batch job and print their information.
  my $list_batch_job_results_response = $batch_job_service->list_results({
    resourceName => $batch_job_resource_name,
    pageSize     => PAGE_SIZE
  });

  foreach my $batch_job_result (@{$list_batch_job_results_response->{results}})
  {
    printf
      "Batch job #%d has a status '%s' and response of type '%s'.\n",
      $batch_job_result->{operationIndex},
      $batch_job_result->{status} ? $batch_job_result->{status}{message}
      : "N/A",
      $batch_job_result->{mutateOperationResponse}
      ? [keys %{$batch_job_result->{mutateOperationResponse}}]->[0]
      : "N/A";
  }
}

curl

# Gets the results of a batch job.
#
# Variables:
#   API_VERSION,
#   CUSTOMER_ID,
#   MANAGER_CUSTOMER_ID,
#   OAUTH2_ACCESS_TOKEN:
#     See https://developers.google.com/google-ads/api/rest/auth#request_headers
#     for details.
#   BATCH_JOB_RESOURCE_NAME:
#     The operation name of the running batch job as returned by the previous
#     step.
curl -f --request GET \
"https://googleads.googleapis.com/v${API_VERSION}/${BATCH_JOB_RESOURCE_NAME}:listResults?pageSize=1000" \
--header "Content-Type: application/json" \
--header "login-customer-id: ${MANAGER_CUSTOMER_ID}" \
--header "Authorization: Bearer ${OAUTH2_ACCESS_TOKEN}"

En ListBatchJobResultsRequest, el campo page_size se establece de forma predeterminada en el valor máximo de 1000 si se omite o se establece en 0. Si se establece page_size en un valor mayor que 1000 o menor que 0, se devuelve un error BatchJobError.INVALID_PAGE_SIZE.

Cada BatchJobResult identifica la operación correspondiente con operation_index, el índice basado en 0 del MutateOperation subido en el trabajo por lotes.

Cómo cancelar o quitar un trabajo por lotes

La forma en que detienes o descartas un trabajo por lotes depende de si se llamó a RunBatchJob:

Manejo de errores

BatchJobService ejecuta operaciones estándar con la falla parcial habilitada (las operaciones exitosas se confirman incluso si fallan otras operaciones en el mismo trabajo, excepto dentro de los sublotes atómicos) y reintenta automáticamente las operaciones que fallan debido a errores transitorios. Sin embargo, no todas las situaciones de falla se pueden evitar. Las operaciones que fallaron debido a errores de validación se pueden corregir y volver a enviar en un nuevo trabajo por lotes. Del mismo modo, cuando un trabajo por lotes se cancela o se anula antes de completar todas las operaciones, puedes volver a enviar las operaciones no ejecutadas (operation_index >= executed_operation_count) junto con las operaciones fallidas del prefijo ejecutado en un nuevo trabajo por lotes.

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