Example MDX Calculations
|
Sales Growth
|
([Time].CurrentMember,
[Measures].[Sales])
-
([Time].CurrentMember.PrevMember, [Measures].[Sales])
|
PP Growth
|
([Time].CurrentMember,
[Measures].[Sales])
- (ParellelPeriod(Year,
1, [Time].CurrentMember), [Measures].[Sales])
|
YTD Sales
|
sum(ytd([Time].CurrentMember),
[Measures].[Sales])
|
YTD Sales Using
PeriodsToDate
|
sum(PeriodsToDate([Time].[Year],
[Time].CurrentMember), [Measures].[Sales])
|
Product Percentage
|
([Product].CurrentMember,
[Measures].[Unit Sales])
/
([Product].CurrentMember.Parent, [Measures].[Unit Sales]) * 100
|
Product Total Percentage
|
([Product].CurrentMember,
[Measures].[Unit Sales])
/ ([Product].[All
Products], [Measures].[Unit Sales]) * 100
|
Average Stock - Brute
Force
|
Sum(Descendants([Time].CurrentMember,
[Month]), [Measures].[Quantity])
/
Count(Descendants([Time].CurrentMember, [Month]))
|
Average Stock - Elegant
|
Avg(Descendants([Time].CurrentMember,
[Month]), [Measures].[Quantity])
|
Closing Period - Brute
Force
|
(Tail(Descendants([Time].CurrentMember,
[Month]), 1).Item(0), [Measures].[Quantity])
|
Closing Period - Elegant
|
(ClosingPeriod([Month],
[Time].CurrentMember), [Measures].[Quantity])
|
Max for Period
|
Max(Descendants([Time].CurrentMember,
[Month]), [Measures].[Quantity])
|
Min for Period
|
Min(Descendants([Time].CurrentMember,
[Month]), [Measures].[Quantity])
|
Moving Average
|
Avg([Time].CurrentMember.Lag(2):[Time].CurrentMember,
[Measures].[Unit Sales])
|
Products Down
|
Count(Filter(Descendants([Product].CurrentMember,
[Product Name])
, ([Time].CurrentMember,
[Measures].[Unit Sales])
< ([Time].CurrentMember.PrevMember,
[Measures].[Unit Sales])))
/
Count(Descendants([Product].CurrentMember,
[Product Name]))
|
Dynamic Custom Default
Member
|
Tail(Filter([Time].[Month].Members
, Not IsEmpty([Time].CurrentMember)),
1).Item(0)
|
Properties Query
|
Filter([Store].[Store
Name].Members
,
Val([Store].CurrentMember.Properties("Store Sqft")) < 21000)
|
Products Down Query
|
select
{{{[Measures].[Products Down]}
* {[Customers].DefaultMember}
* {[Product].DefaultMember}}} on
columns
,
{[Time].&[1998].&[Q1].&[1]
,
[Time].&[1998].&[Q1].&[2]
,
[Time].&[1998].&[Q1].&[3]
,
[Time].&[1998].&[Q2].&[4]
,
[Time].&[1998].&[Q2].&[5]
, [Time].&[1998].&[Q2].&[6]
,
[Time].&[1998].&[Q3].&[7]
,
[Time].&[1998].&[Q3].&[8]
,
[Time].&[1998].&[Q3].&[9]
,
[Time].&[1998].&[Q4].&[10]
,
[Time].&[1998].&[Q4].&[11]} on rows
from
[Sales_MDX2]
|
MDX Query
|
select
{[Measures].[Unit Sales]
, [Measures].[MA]} on columns
, {Descendants([Time].[Year].&[1997],
[Month])} on rows
from
[Sales_MDX2]
|
This blog contains posts related to data warehouse. All posts are used in my real time project and can be used as reusable codes and helpful to BI developers.
Labels
Apache Hadoop
(3)
ASP.NET
(2)
AWS S3
(2)
Batch Script
(3)
BigQuery
(21)
BlobStorage
(1)
C#
(3)
Cloudera
(1)
Command
(2)
Data Model
(3)
Data Science
(1)
Django
(1)
Docker
(1)
ETL
(7)
Google Cloud
(5)
GPG
(2)
Hadoop
(2)
Hive
(3)
Luigi
(1)
MDX
(21)
Mongo
(3)
MYSQL
(3)
Pandas
(1)
Pentaho Data Integration
(5)
PentahoAdmin
(13)
Polybase
(1)
Postgres
(1)
PPS 2007
(2)
Python
(13)
R Program
(1)
Redshift
(3)
SQL 2016
(2)
SQL Error Fix
(18)
SQL Performance
(1)
SQL2012
(7)
SQOOP
(1)
SSAS
(20)
SSH
(1)
SSIS
(42)
SSRS
(17)
T-SQL
(75)
Talend
(3)
Vagrant
(1)
Virtual Machine
(2)
WinSCP
(1)
Thursday, October 25, 2012
Example MDX Calculation for SSAS Cube
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment