Package: xmla
olap.xmlaThis package is meant for accessing xmla datasources - seehttp://en.wikipedia.org/wiki/XML_for_AnalysisBuilingIn this directory, run:python setup.py buildTestingTests are done against the Mondrian, SSAS, icCube XMLA providers. The
testsDiscover module tests behavior with different XMLA providers with
the Discover command while testsExecute does the same with the Execute
command. Note that you likely need to modify the sources if you want to
test yourself since they contain specifics (namely the location of the
services and names of the data sources).SampleHere is an example how to use it:import olap.xmla.xmla as xmla

p = xmla.XMLAProvider()
# mondrian
c = p.connect(location="http://localhost:8080/mondrian/xmla")
# to analysis services (if iis proxies requests at /olap/msmdpump.dll)
# you will need a valid kerberos principal of course
# c = p.connect(location="https://my-as-server/olap/msmdpump.dll",
#               sslverify="/path/to/my/as-servers-ca-cert.pem")
# to icCube
# c = p.connect(location="http://localhost:8282/icCube/xmla", username="demo",
#               password="demo")

# getting info about provided data
print c.getDatasources()
print c.getMDSchemaCubes()
# for ssas a catalog is needed, so the call would be like
# get a catalogname from a call to c.getDBSchemaCatalogs()
# c.getMDSchemaCubes(properties={"Catalog":"a catalogname"})

# execute a MDX (working against the foodmart sample catalog of mondrian)
cmd= """select {[Measures].ALLMEMBERS} * {[Time].[1997].[Q2].children} on columns,
[Gender].[Gender].ALLMEMBERS on rows
from [Sales]
"""

res = c.Execute(cmd, Catalog="FoodMart")
#return only the Value property from the cells
res.getSlice(properties="Value")
# or two props
res.getSlice(properties=["Value", "FmtValue"])

# to return some subcube from the result you can
# return all
res.getSlice()
# carve out the 4th column
res.getSlice(Axis0=3)
# same as above, SlicerAxis is ignored
res.getSlice(Axis0=3, SlicerAxis=0)
# return the data sliced at the 2nd and 3rd row
res.getSlice(Axis1=[1,2])
# return the data sliced at the 2nd and 3rd row and at the 4th column
res.getSlice(Axis0=3, Axis1=[1,2])Using the procedural interface:import olap.xmla.xmla as xmla

p = xmla.XMLAProvider()
c = p.connect(location="http://localhost:8080/mondrian/xmla")
s = p.getOLAPSource()

# import olap.interfaces as oi
# oi.IOLAPSource.providedBy(s) == True

s.getCatalogs()
s.getCatalog("FoodMart").getCubes()
s.getCatalog("FoodMart").getCube("HR").getDimensions()
s.getCatalog("FoodMart").getCube("HR").getDimension("[Department]").\
getMembers()
s.getCatalog("FoodMart").getCube("HR").getDimension("[Department]").\
getMember("[Department].[14]")

cmd= """select {[Measures].ALLMEMBERS} * {[Time].[1997].[Q2].children} on columns,
[Gender].[Gender].ALLMEMBERS on rows
from [Sales]
"""
res=s.getCatalog("FoodMart").query(cmd)
res.getSlice()NoteThe contained vs.wsdl originates from the following package:http://www.microsoft.com/en-us/download/confirmation.aspx?id=9388and
was subsequently modified (which parameters go in the soap header) to
work with the suds package.olap.xmlaCHANGES0.7.2now relies on requests 1.2.3fixed race condition in kerberos auth0.7.1kerberos-auth was sent twice0.7works now with requests 0.14- and 1.-series of requestsselection of cell properties failed0.6dependency on kerberos and s4u2p is now optionaladded optional kerberos-sspi package for kerberos on windows through sspi via pywin320.5as_userandspnare no longer ignored in the kerberos authenticationimplemented the procedural interface from olap.interfacesfixed problem when no sliceraxis info is returnedparameterpropertyof getSlice now spellsproperties0.4keywordkerberosis gone. kerberos auth need is detected automaticallyBeginSessionandEndSessionprovide XMLA Sessionsupportchanges to work with icCube XMLA provider0.3changed keyworddoKerberosin XMLProvider.connect tokerberosaddedsslverifykeyword to XMLProvider.connect defaulting toTrue.
This will be handed to requests get method, so you can point it to your certificate bundle file.0.2removed dependencies on specific versions in setup.py