可以使用Retry机制重新运行查询以解决Athena查询由于时间问题而返回空结果的问题。
以下是使用Python中的Boto3库实现的示例代码:
import boto3
import time
from botocore.exceptions import ClientError
# 创建Athena客户端
athena_client = boto3.client('athena')
# 设置Retry次数和间隔时间
num_retries = 3
retry_interval = 5
# 定义查询函数
def run_query(query, database, s3_output):
for i in range(num_retries):
try:
# 运行查询
response = athena_client.start_query_execution(
QueryString=query,
QueryExecutionContext={
'Database': database
},
ResultConfiguration={
'OutputLocation': s3_output,
}
)
# 获取查询ID
query_execution_id = response['QueryExecutionId']
# 等待查询完成
while True:
query_status = athena_client.get_query_execution(QueryExecutionId=query_execution_id)
query_execution_state = query_status['QueryExecution']['Status']['State']
if query_execution_state == 'SUCCEEDED':
return query_execution_id
elif query_execution_state == 'FAILED':
error_message = query_status['QueryExecution']['Status']['StateChangeReason']
raise Exception('Athena query failed: {}'.format(error_message))
else:
time.sleep(retry_interval)
except ClientError as e:
error_code = e.response['Error']['Code']
if error_code == 'TooManyRequestsException':
time.sleep(retry_interval)
continue
else:
raise
raise Exception('Athena query timed out')
# 调用查询函数并获取结果
query = "SELECT * FROM your_table"
database = "your_database"
s3_output = "s3://your-bucket/your-folder/"
query_execution_id = run_query(query, database, s3_output)
result = athena_client.get_query_results(QueryExecutionId=query_execution_id)
print(result['ResultSet']['Rows'])
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