python - 使用 Python 查询 SQL Server Analysis Services (SSAS) 多维数据集数据

Question

我单位有SQL分析服务资源，我们可以用excel或者powerbi通过服务器名(tooldata.amr.xxx.com)连接cube获取数据。

我想要的是使用 python 或 excel 自动进行数据查询并输出到 csv 文件以供下游应用程序使用(报告/图表等)

我试过以下但失败了:

1. Microsoft.AnalysisServices.AdomdClient

FileNotFoundException Traceback(最近调用最后) 在

2. clr.AddReference ("Microsoft.AnalysisServices.AdomdClient.dll")

FileNotFoundException: 无法找到程序集“Microsoft.AnalysisServices.AdomdClient.dll”。 在 Python.Runtime.CLRModule.AddReference(字符串名称)

看起来缺少一些环境。不确定如何进行。有什么建议吗？

2。 use olap.xmla

import olap.xmla.xmla as xmla 
provider = olap.xmla.xmla.XMLAProvider()
connect = provider.connect(location='http://tooldata.amr.xxx.com/OLAP/msmdpump.dll',username='user',password='pwd')
source = connect.getOLAPSource()
print (source.getCatalog("TestCube"))

ConnectionError: HTTPConnectionPool(host='tooldata.amr.xxx.com', port=80): Max retries exceeded with url: /OLAP/msmdpump.dll (Caused by NewConnectionError(': Failed to establish a new connection: [WinError 10060] A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond'))

看起来需要从服务器端进行一些配置，但这是我无法控制的，请删除此选项。

3.既然可以用excel获取SSAS数据，那可不可以用python调用excel刷新数据，再从excel中解析出数据？有人试过吗？

谢谢。

Answer 1

最后根据1.Microsoft.AnalysisServices.AdomdClient解决了问题解决方案。

#use your own DLL path.
clr.AddReference ("r"C:\Windows\assembly\GAC_MSIL\Microsoft.AnalysisServices.AdomdClient\11.0.0.0__89845dcd8080cc91\Microsoft.AnalysisServices.AdomdClient.dll"")
clr.AddReference ("System.Data")
from Microsoft.AnalysisServices.AdomdClient import AdomdConnection , AdomdDataAdapter
from System.Data import DataSet
#use your own server name or address. and data cube name.
conn = AdomdConnection("Data Source=tooldata.amr.xxx.com;Catalog=ShiftlyCellCube;")
conn.Open()
cmd = conn.CreateCommand()
#your MDX query, if you are not familiar, you can use the excel powerpivot to build one query for you. 
cmd.CommandText = "your mdx query" 
adp = AdomdDataAdapter(cmd)
datasetParam =  DataSet()
adp.Fill(datasetParam)
conn.Close();

# datasetParam hold your result as collection a\of tables
# each tables has rows
# and each row has columns
print (datasetParam.Tables[0].Rows[0][0])

clr 是 pythonnet，您可以通过以下方式安装软件包:pythonnet Github或 pythonnet pypi

对于 Microsoft.AnalysisServices.AdomdClient.dll，您可能没有它。您可以通过安装 SQL_AS_ADOMD.msi 获取 DLL .

最后，旨在从 Cube DataSet 解析结构化数据集。我使用以下代码(字段取决于您的 DAX 查询输出)。

with open ('xx_Pivot.csv','w') as file:
#my MDX only return 7 field as below headers.
header = 'WW,Shift,ShiftID,Factory,Entity,Cell,Data\n'
file.writelines(header)
#iteration the Dataset and get out a structure 2D data table and save to a file.
for row_n in range(len(list(datasetParam.Tables[0].Rows))):
    row = ''
    for column_n in range(7):
        data = datasetParam.Tables[0].Rows[row_n][column_n]
        row = row+str(data)+',' 
    row = row+'\n'
    file.writelines(row)