필드 마스크를 사용한 업데이트
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Google Ads API에서는 필드 마스크를 사용하여 업데이트가 이루어집니다. 필드 마스크에는 업데이트로 변경하려는 모든 필드가 나열되며, 지정된 필드가 필드 마스크에 없으면 서버로 전송되더라도 무시됩니다.
필드 마스크 도우미
필드 마스크를 생성하는 데 권장되는 방법은 google.api_core
패키지에 포함된 field_mask
도우미 함수를 사용하는 것입니다. 두 protobuf 객체를 허용하고 두 객체 간에 서로 다른 모든 필드가 포함된 list
필드가 있는 필드 마스크 객체를 반환합니다.
None
이 첫 번째 매개변수로 전달되면 필드 마스크 목록에는 기본값으로 설정되지 않은 두 번째 protobuf 객체의 모든 필드가 포함됩니다.
필드 마스크 객체를 구성한 후 서버로 전송될 작업 객체에 복사해야 합니다.
다음은 캠페인을 업데이트하는 예입니다.
from google.api_core import protobuf_helpers
from google.ads.googleads.client import GoogleAdsClient
# Retrieve a GoogleAdsClient instance.
client = GoogleAdsClient.load_from_storage()
# Create a new campaign operation.
campaign_operation = client.get_type('CampaignOperation')
# Retrieve a new campaign object from its update field.
campaign = campaign_operation.update
# Mutate the campaign.
campaign.network_settings.target_search_network.value = False
# Create a field mask using the updated campaign.
# The field_mask helper is only compatible with raw protobuf message
# instances, which we can access using the ._pb attribute.
field_mask = protobuf_helpers.field_mask(None, campaign._pb)
# Copy the field_mask onto the operation's update_mask field.
client.copy_from(campaign_operation.update_mask, field_mask)
먼저 빈 CampaignOperation 객체를 만듭니다. 그런 다음 빈 Campaign 객체를 가져오도록 설정합니다. 그런 다음 해당 캠페인 객체를 업데이트하고 None
와 비교하여 새 필드 마스크를 만듭니다. 이렇게 하면 변경된 network_settings.target_search_network
필드만 포함된 필드 마스크 목록이 생성됩니다.
다음은 기존 캠페인을 업데이트하는 예입니다. 여기서는 스크립트에 캠페인의 유효한 리소스 이름과 유효한 customer_id
인 resource_name
매개변수가 제공되었다고 가정합니다.
import proto
from google.api_core import protobuf_helpers
from google.ads.googleads.client import GoogleAdsClient
# Retrieve a GoogleAdsClient instance.
client = GoogleAdsClient.load_from_storage()
# Retrieve an instance of the GoogleAdsService.
googleads_service = client.get_service('GoogleAdsService')
# Search query to retrieve campaign.
query = f"""
SELECT
campaign.network_settings.target_search_network,
campaign.resource_name
FROM campaign
WHERE campaign.resource_name = {resource_name}"""
# Submit a query to retrieve a campaign instance.
response = googleads_service.search_stream(customer_id=customer_id, query=query)
# Iterate over results to retrieve the campaign.
for batch in response:
for row in batch.results:
initial_campaign = row.campaign
# Create a new campaign operation.
campaign_operation = client.get_type('CampaignOperation')
# Set the copied campaign object to a variable for easy reference.
updated_campaign = campaign_operation.update
# Copy the retrieved campaign into the new campaign.
# Here we use the proto.Message.copy_from method because of its simple
# compatibility with the protobuf message instances, which are wrapped
# by the proto-plus library.
proto.Message.copy_from(updated_campaign, initial_campaign)
# Mutate the new campaign.
updated_campaign.network_settings.target_search_network = False
# Create a field mask using the updated campaign.
field_mask = protobuf_helpers.field_mask(
initial_campaign._pb, updated_campaign._pb
)
# Copy the field mask onto the operation's update_mask field.
# Note that the client's copy_from method is designed to work with both native
# messages and messages wrapped by proto-plus, so it works here for the
# update_mask, even though it's an instance of the native message class
# google.protobuf.field_mask_pb2.FieldMask.
client.copy_from(campaign_operation.update_mask, field_mask)
이 전략을 사용하면 updated_campaign
가 API에서 가져온 initial_campaign
와 동일한 모든 필드(리소스 이름)를 공유합니다.
생성된 필드 마스크는 network_settings.target_search_network
필드만 변경하면 된다고 API에 알려줍니다.
달리 명시되지 않는 한 이 페이지의 콘텐츠에는 Creative Commons Attribution 4.0 라이선스에 따라 라이선스가 부여되며, 코드 샘플에는 Apache 2.0 라이선스에 따라 라이선스가 부여됩니다. 자세한 내용은 Google Developers 사이트 정책을 참조하세요. 자바는 Oracle 및/또는 Oracle 계열사의 등록 상표입니다.
최종 업데이트: 2025-08-27(UTC)
[null,null,["최종 업데이트: 2025-08-27(UTC)"],[[["\u003cp\u003eUpdates in the Google Ads API utilize a field mask to specify the fields to be changed, ignoring any other fields sent to the server.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003efield_mask\u003c/code\u003e helper function from \u003ccode\u003egoogle.api_core\u003c/code\u003e simplifies field mask creation by comparing two protobuf objects.\u003c/p\u003e\n"],["\u003cp\u003eWhen \u003ccode\u003eNone\u003c/code\u003e is used as the first parameter in the \u003ccode\u003efield_mask\u003c/code\u003e helper, the generated mask includes only fields with non-default values.\u003c/p\u003e\n"],["\u003cp\u003eTo update an existing campaign, retrieve it first, modify the desired fields, and then utilize the \u003ccode\u003efield_mask\u003c/code\u003e helper for targeted updates.\u003c/p\u003e\n"],["\u003cp\u003eApply the generated field mask to the operation object's \u003ccode\u003eupdate_mask\u003c/code\u003e field before sending it to the server for processing.\u003c/p\u003e\n"]]],[],null,["# Updates Using Field Masks\n\nIn the Google Ads API, updates are done using a field mask. The field mask lists\nall the fields you intend to change with the update, and any specified fields\nthat are not in the field mask will be ignored, even if sent to the server.\n\nField mask helper\n-----------------\n\nThe recommended way to generate field masks is using the `field_mask` helper\nfunction included in the `google.api_core` package. It accepts two protobuf\nobjects and returns a field mask object with a `list` field that contains all\nof the fields that are different between the two objects.\n\nIf `None` is passed as the first parameter then the field mask list will just\ncontain all of the fields on the second protobuf object that are not set to\ntheir default value.\n\nOnce constructed the field mask object should be copied onto the operation\nobject that will be send to the server:\n\nHere's an example for updating a campaign: \n\n from google.api_core import protobuf_helpers\n from google.ads.googleads.client import GoogleAdsClient\n\n # Retrieve a GoogleAdsClient instance.\n client = GoogleAdsClient.load_from_storage()\n # Create a new campaign operation.\n campaign_operation = client.get_type('CampaignOperation')\n # Retrieve a new campaign object from its update field.\n campaign = campaign_operation.update\n # Mutate the campaign.\n campaign.network_settings.target_search_network.value = False\n\n # Create a field mask using the updated campaign.\n # The field_mask helper is only compatible with raw protobuf message\n # instances, which we can access using the ._pb attribute.\n field_mask = protobuf_helpers.field_mask(None, campaign._pb)\n\n # Copy the field_mask onto the operation's update_mask field.\n client.copy_from(campaign_operation.update_mask, field_mask)\n\nFirst, we create an empty CampaignOperation object. Then, we set retrieve an\nempty Campaign object from it. We then update that campaign object and create\na new field mask, comparing it to `None`, which will generate a field mask list\nthat only contains the `network_settings.target_search_network` field that was\nchanged.\n\nHere's an example updating an existing campaign. Here we assume the script has\nbeen provided a `resource_name` parameter that is a valid resource name for a\ncampaign and a valid `customer_id`: \n\n import proto\n\n from google.api_core import protobuf_helpers\n from google.ads.googleads.client import GoogleAdsClient\n\n # Retrieve a GoogleAdsClient instance.\n client = GoogleAdsClient.load_from_storage()\n # Retrieve an instance of the GoogleAdsService.\n googleads_service = client.get_service('GoogleAdsService')\n\n # Search query to retrieve campaign.\n query = f\"\"\"\n SELECT\n campaign.network_settings.target_search_network,\n campaign.resource_name\n FROM campaign\n WHERE campaign.resource_name = {resource_name}\"\"\"\n\n # Submit a query to retrieve a campaign instance.\n response = googleads_service.search_stream(customer_id=customer_id, query=query)\n\n # Iterate over results to retrieve the campaign.\n for batch in response:\n for row in batch.results:\n initial_campaign = row.campaign\n\n # Create a new campaign operation.\n campaign_operation = client.get_type('CampaignOperation')\n # Set the copied campaign object to a variable for easy reference.\n updated_campaign = campaign_operation.update\n # Copy the retrieved campaign into the new campaign.\n # Here we use the proto.Message.copy_from method because of its simple\n # compatibility with the protobuf message instances, which are wrapped\n # by the proto-plus library.\n proto.Message.copy_from(updated_campaign, initial_campaign)\n # Mutate the new campaign.\n updated_campaign.network_settings.target_search_network = False\n\n # Create a field mask using the updated campaign.\n field_mask = protobuf_helpers.field_mask(\n initial_campaign._pb, updated_campaign._pb\n )\n\n # Copy the field mask onto the operation's update_mask field.\n # Note that the client's copy_from method is designed to work with both native\n # messages and messages wrapped by proto-plus, so it works here for the\n # update_mask, even though it's an instance of the native message class\n # google.protobuf.field_mask_pb2.FieldMask.\n client.copy_from(campaign_operation.update_mask, field_mask)\n\nWith this strategy, the `updated_campaign` will share all the same fields as the\n`initial_campaign` that was retrieved from the API, namely the resource name.\nThe generated field mask will tell the API that only the\n`network_settings.target_search_network` field needs to be changed."]]