小编Rah*_*jee的帖子

我尝试在 Azure Function 中运行以下脚本： init .py

import logging
import azure.functions as func
import pandas as pd
import numpy as np
from datetime import datetime

def main(myblob: func.InputStream):
    logging.info(f"Python blob trigger function processed blob \n"
                 f"Name: {myblob.name}\n"
                 f"Blob Size: {myblob.length} bytes")

这是 function.json：

{
    "scriptFile": "__init__.py",
    "bindings": [
        {
            "name": "myblob",
            "type": "blobTrigger",
            "direction": "in",
            "path": "uwci-sftp-rb92351a6c-41fa-4b90-aa79-4e9974ca83f7/{name}",
            "connection": ""
        }
    ]
}

当我仅导入 azure.functions 和日志记录时，它工作正常。我仅在尝试在 Azure Function 中运行代码时收到此错误。对于 pandas 或任何其他库，我收到以下错误：

Result: Failure
Exception: ModuleNotFoundError: No module named 'pandas'
Stack:   File "/azure-functions-host/workers/python/3.7/LINUX/X64/azure_functions_worker/dispatcher.py", …

如何在SQL中的计算字段上使用order by？

select a.Customer
    ,a.PlanTo
    ,a.Dollar01
    ,a.Dollar02
    ,a.Dollar03
    ,a.Dollar04
    ,a.Dollar05
    ,a.Dollar06
    ,a.Dollar07
    ,a.Dollar08
    ,a.Dollar09
    ,a.Dollar10
    ,a.Dollar11
    ,a.Dollar12
    ,(CAST(a.Dollar01 as decimal) + CAST(a.Dollar02 as decimal) 
    + CAST(a.Dollar03 as decimal) + CAST(a.Dollar04 as decimal) 
    + CAST(a.Dollar05 as decimal) + CAST(a.Dollar06 as decimal) 
    + CAST(a.Dollar07 as decimal) + CAST(a.Dollar08 as decimal) 
    + CAST(a.Dollar09 as decimal) + CAST(a.Dollar10 as decimal) 
    + CAST(a.Dollar11 as decimal) + CAST(a.Dollar12 as decimal)) as TOTAL1
from MDM_STAT.sds.SMarginText a
where a.salesyear = '2016'
order by a.total1

这给了我'Total1'列不存在,但正如你所见,我创建了它并且如果我没有使用该order by子句,它正在工作.