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