search_stream 方法会返回
SearchGoogleAdsStreamResponse
对象的迭代器。
遍历流式传输响应
您可以遍历每个 GoogleAdsRow
results,如以下代码示例所示:
def main(client: GoogleAdsClient, customer_id: str) -> None: ga_service: GoogleAdsServiceClient = client.get_service("GoogleAdsService") query: str = """ SELECT campaign.id, campaign.name FROM campaign ORDER BY campaign.id""" # Issues a search request using streaming. stream: Iterator[SearchGoogleAdsStreamResponse] = ga_service.search_stream( customer_id=customer_id, query=query ) for batch in stream: rows: List[GoogleAdsRow] = batch.results for row in rows: print( f"Campaign with ID {row.campaign.id} and name " f'"{row.campaign.name}" was found.' )
每个 GoogleAdsRow 的结构由您在 Google Ads 查询语言 (GAQL) 查询中选择的字段决定。如需详细了解响应
结构,请参阅 Google Ads 查询语言。
将迭代器保留在范围内
调用
GoogleAdsService.search_stream时,
系统会返回流式传输响应迭代器。此迭代器在被使用时必须与
GoogleAdsService 客户端保持在同一范围内,以避免流中断或出现段错误。这是因为,一旦打开的 GoogleAdsService
对象超出范围,底层 gRPC Channel 对象就会被垃圾回收。如果 GoogleAdsService 对象在对
search_stream 的结果进行迭代时不再在范围内,则 Channel 对象可能已被销毁,导致迭代器尝试检索下一个值时出现未定义的行为。
以下代码演示了流式传输迭代器的不正确 用法:
def stream_response(client, customer_id, query):
# The GoogleAdsService instance goes out of scope when this function
# returns.
ga_service = client.get_service(
"GoogleAdsService", version="v26"
)
return ga_service.search_stream(customer_id=customer_id, query=query)
def main(client, customer_id):
query = "SELECT campaign.name FROM campaign LIMIT 10"
response = stream_response(client, customer_id, query=query)
# Accessing the iterator in a different scope from where the service object
# was created results in undefined behavior.
for batch in response:
print(batch)
在此代码中,GoogleAdsService 对象的创建范围与访问迭代器的范围不同。因此,Channel
对象可能会在迭代器使用整个响应之前被销毁。
请改为将流式传输迭代器与 GoogleAdsService 客户端保持在同一范围内,只要它正在使用:
def main(client, customer_id):
ga_service = client.get_service(
"GoogleAdsService", version="v26"
)
query = "SELECT campaign.name FROM campaign LIMIT 10"
response = ga_service.search_stream(customer_id=customer_id, query=query)
# Access the iterator in the same scope where the service object was
# created.
for batch in response:
print(batch)