可以通过设置重试机制解决此问题。在代码中使用try-except语句,并将错误消息设置为“rateLimitExceeded”。然后,将查询放在一个while循环中,如果收到速率限制错误,请等待一定时间,然后重试查询。以下是一个简单的Python示例代码:
from google.cloud import bigquery
import time
client = bigquery.Client()
query = """
SELECT *
FROM `my_project.my_dataset.my_table`
"""
# Define maximum number of retries
max_retries = 5
# Define wait time between retries (seconds)
wait_time = 10
retry_count = 0
while retry_count <= max_retries:
try:
# Run query
query_job = client.query(query)
results = query_job.result()
# Process results
for row in results:
print(row)
# Exit loop if successful
break
except Exception as e:
if "rateLimitExceeded" in str(e):
print("Rate limit exceeded. Waiting %s seconds and retrying..." % wait_time)
time.sleep(wait_time)
retry_count += 1
else:
print("Unexpected error:", str(e))
break