search_stream 方法会返回 SearchGoogleAdsStreamResponse 对象的迭代器。
迭代流式响应
您可以遍历每个回答的 results 字段中的每个 GoogleAdsRow,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。
将迭代器保留在作用域内
调用 GoogleAdsService.search_stream 时,系统会返回流式响应迭代器。此迭代器在使用时必须与 GoogleAdsService 客户端保持在同一范围内,以避免流中断或分段错误。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。如果在对 search_stream 的结果进行迭代时,GoogleAdsService 对象不再处于作用域内,则 Channel 对象可能已被销毁,从而导致迭代器尝试检索下一个值时出现未定义的行为。
以下代码演示了数据流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 对象是在与访问迭代器的范围不同的范围内创建的。因此,在迭代器使用整个响应之前,Channel 对象可能会被销毁。
相反,只要流式迭代器正在使用,就应将其与 GoogleAdsService 客户端保持在同一范围内:
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)