pyhive中在A文件中实现异步提交hive sql，B文件实现异步监测A文件中执行的sql

在PyHive中，如果你想要实现在两个文件A和B之间异步地提交Hive SQL并监控其执行状态，可以采用Python的异步IO库如`asyncio`以及`aiohttp`来配合Hive的HTTP REST API。以下是简要步骤：

**A文件（submit.py）- 异步提交SQL：**

import asyncio
from aiohttp import ClientSession

class HiveAsyncSubmitter:
    async def submit_query(self, query):
        url = "your_hive_server/rest/v1/query"
        headers = {'Content-Type': 'application/json'}
        data = {"q": query}

        async with ClientSession() as session:
            async with session.post(url, json=data, headers=headers) as response:
                return await response.json()

# 使用示例
async def main():
    submitter = HiveAsyncSubmitter()
    query = "YOUR_HIVE_QUERY"
    result = await submitter.submit_query(query)
    print(f"Query submitted: {result}")

if __name__ == "__main__":
    loop = asyncio.get_event_loop()
    loop.run_until_complete(main())

**B文件（monitor.py）- 异步监控查询状态：**

import asyncio
from aiohttp import ClientSession
import time

class HiveAsyncMonitor:
    async def get_query_status(self, query_id):
        url = f"your_hive_server/rest/v1/query/{query_id}"
        headers = {'Accept': 'application/json'}

        async with ClientSession() as session:
            async with session.get(url, headers=headers) as response:
                if response.status == 200:
                    status_data = await response.json()
                    return status_data['state']
                else:
                    raise Exception(f"Failed to retrieve status: {response.status}")

# 使用示例
async def monitor_query(submitter, query_id):
    while True:
        status = await HiveAsyncMonitor().get_query_status(query_id)
        print(f"Status: {status}")
        if status in ['SUCCEEDED', 'FAILED']:
            break
        await asyncio.sleep(5)

# 需要在main函数中创建submitter实例，并在查询提交后获取查询ID以启动监控
async def main():
    submitter = HiveAsyncSubmitter()
    query_result = await submitter.submit_query("YOUR_HIVE_QUERY")
    query_id = query_result['id']
    asyncio.create_task(monitor_query(submitter, query_id))

if __name__ == "__main__":
    loop = asyncio.get_event_loop()
    loop.run_until_complete(main())

**相关问题--:**
1. PyHive的REST API具体是什么样子的？
2. 如果A文件中的任务出错，如何处理异常？
3. 怎么确保B文件能实时接收到查询的状态更新？