How to create a period over period Measurement in MDX? - mdx

I'm fairly new to MDX queries, and I'm having trouble understanding how I might compute a period over period measurement. For example say I have a metric like revenue, and I'm breaking that revenue out over time say on a Month to Month basis. How would I calculate the change from Month to Month of that revenue as a percent? Now let's say I want to calculate that generically over any period, quarter to quarter, year to year, month to month, or even compare it with identical periods from prior years. 2011 Q1 vs 2012 Q1, 2011 Q2 vs 2012 Q2, etc.
Schema definition:
<Dimension type="TimeDimension" highCardinality="false" name="Time">
<Hierarchy name="yearQuarterMonth" caption="Year/Quarter/Month" hasAll="true" primaryKey="id">
<Table name="Time"/>
<Level name="Year" column="year" type="Numeric" uniqueMembers="true" levelType="TimeYears" hideMemberIf="Never"/>
<Level name="Quarter" column="quarter" type="Numeric" uniqueMembers="false" levelType="TimeQuarters" hideMemberIf="Never"/>
<Level name="Month" column="month" type="Numeric" ordinalColumn="month" uniqueMembers="false" levelType="TimeMonths" hideMemberIf="Never"/>
<Level name="Day" column="day" type="Numeric" uniqueMembers="false" levelType="TimeDays" hideMemberIf="Never"/>
</Hierarchy>
<Hierarchy name="fiscalYearQuarterMonth" caption="Fiscal Year/Quarter/Month" hasAll="true" primaryKey="id">
<Table name="Time"/>
<Level name="Fiscal Year" column="fiscal_year" type="Numeric" uniqueMembers="true" levelType="TimeYears" hideMemberIf="Never"/>
<Level name="Quarter" column="quarter" type="Numeric" uniqueMembers="false" levelType="TimeQuarters" hideMemberIf="Never"/>
<Level name="Month" column="month" type="Numeric" ordinalColumn="month" uniqueMembers="false" levelType="TimeMonths" hideMemberIf="Never"/>
<Level name="Day" column="day" type="Numeric" uniqueMembers="false" levelType="TimeDays" hideMemberIf="Never"/>
</Hierarchy>
<Hierarchy name="yearMonth" caption="Year/Month" hasAll="true" primaryKey="id">
<Table name="Time"/>
<Level name="Year" column="year" type="Numeric" uniqueMembers="true" levelType="TimeYears" hideMemberIf="Never"/>
<Level name="Month" column="month" type="Numeric" ordinalColumn="month" uniqueMembers="false" levelType="TimeMonths" hideMemberIf="Never"/>
<Level name="Day" column="day" type="Numeric" uniqueMembers="false" levelType="TimeDays" hideMemberIf="Never"/>
</Hierarchy>
<Hierarchy name="fiscalYearMonth" caption="Fiscal Year/Month" hasAll="true" primaryKey="id">
<Table name="Time"/>
<Level name="Fiscal Year" column="fiscal_year" type="Numeric" uniqueMembers="true" levelType="TimeYears" hideMemberIf="Never"/>
<Level name="Month" column="month" type="Numeric" ordinalColumn="month" uniqueMembers="false" levelType="TimeMonths" hideMemberIf="Never"/>
<Level name="Day" column="day" type="Numeric" uniqueMembers="false" levelType="TimeDays" hideMemberIf="Never"/>
</Hierarchy>
</Dimension>

For Period over Period calculations, you will want to look into using the PrevMember function...
http://msdn.microsoft.com/en-us/library/ms144719.aspx
Below is a snippet that should give you a good start on Period over Period...
WITH
MEMBER [Measures].[WO Actual Amount PP] AS
(
[Order Date].[Calendar].CurrentMember.PrevMember
,[Measures].[WO Actual Amount]
)
,FORMAT_STRING = "Currency"
MEMBER [Measures].[Prior Period Growth %] AS
IIF(
[Measures].[WO Actual Amount PP] = 0
,'N/A'
,([Measures].[WO Actual Amount]-[Measures].[WO Actual Amount PP])/[Measures].[WO Actual Amount PP]
)
,FORMAT_STRING = "Percent"
SELECT
NON EMPTY {
[Measures].[WO Actual Amount],
[Measures].[WO Actual Amount PP],
[Measures].[Prior Period Growth %]
} ON 0,
NON EMPTY {
[Order Date].[Calendar Year].[Calendar Year].Members
} ON 1
FROM
[<<cube name>>]
For Same Period Prior Year or calculation, you'll want to look into the ParallelPeriod function...
http://msdn.microsoft.com/en-us/library/ms145500.aspx
Below is a snippet that should give you a good start on Year over Year...
WITH
MEMBER [Measures].[WO Actual Amount YoY] AS
(
ParallelPeriod(
[Order Date].[Calendar].[Calendar Year]
,1
,[Order Date].[Calendar].CurrentMember
)
,[Measures].[WO Actual Amount]
)
,FORMAT_STRING = "Currency"
MEMBER [Measures].[Prior Period Growth %] AS
IIF(
[Measures].[WO Actual Amount YoY] = 0
,'N/A'
,([Measures].[WO Actual Amount]-[Measures].[WO Actual Amount YoY])/[Measures].[WO Actual Amount YoY]
)
,FORMAT_STRING = "Percent"
SELECT
NON EMPTY {
[Measures].[WO Actual Amount],
[Measures].[WO Actual Amount YoY],
[Measures].[Prior Period Growth %]
} ON 0,
NON EMPTY {
[Order Date].[Calendar Month].[Calendar Month].Members
} ON 1
FROM
[<<cube name>>]

Related

Logical error in Mondrian cube

I am using this cube to retrieve data from my OLTP Database
<?xml version="1.0"?>
<Schema name="Test36">
<Cube name="Test36Cube">
<Table name="fact_table"/>
<Dimension name="Year Month Day" foreignKey="id_date">
<Hierarchy hasAll="false" primaryKey="id_date">
<Table name="transaction_date"/>
<Level name="Year" column="year" uniqueMembers="true" levelType="TimeYears" type="Numeric"/>
<Level name="Month" column="month" uniqueMembers="false" ordinalColumn="monthNumber" nameColumn="month" levelType="TimeMonths" type="Numeric"/>
<Level name="Day" column="day" uniqueMembers="false" levelType="TimeDays" type="Numeric"/>
</Hierarchy>
</Dimension>
<Dimension name="Txn type">
<Hierarchy hasAll="false">
<Level name="txn type" column="tx_type" uniqueMembers="true"/>
</Hierarchy>
</Dimension>
<Measure name="Amount" column="tx_amount" aggregator="sum" formatString="Standard"/>
</Cube>
</Schema>
When I add the dimension "Txn type", data for "year month day" is not loaded for each month. Data for only some months is retrived. I am not able to understand the reason behind this error. Can anybody help?

Empty cells/offset in the report: how to define a dimension and hierarchy in the cube?

I want to analyze some dynamics of the some process. For that I use Saiku analytics plugin CE for Pentaho Business Intelligence Server CE 5.0.1.
There is a table of facts and a table of dimensions that using to perform some aggregations. Dimensions represent the hierarchy "Year - Month - Day".
I built some report in two cuts - by year and months. Report looks as follows:
The data it shows is correct:
If I define an independent dimension "Month", the report is looks right:
However, the data already is not right:
I tried to add the inverse dimension "Month - Year", but did not see any data.
Is there a way to define a dimension, where the report will not include empty cells?
I found the solution - the problem was in the wrong dimension of date.
See detailed answer here: Create a date range in mysql
New Mondrian schema:
<Schema name="MondrianSchema">
<Dimension type="TimeDimension" visible="true" highCardinality="false" name="X dimension">
<Hierarchy name="X_hierarchy" visible="true" hasAll="true" primaryKey="date_key">
<Table name="tbl_declaration_date_dim" schema="dbo">
</Table>
<Level name="Year" visible="true" table="tbl_declaration_date_dim" column="Year" nameColumn="Year" type="Numeric" uniqueMembers="true" levelType="TimeYears" hideMemberIf="Never">
</Level>
<Level name="Month" visible="true" table="tbl_declaration_date_dim" column="Month" nameColumn="Month" ordinalColumn="Month" type="Numeric" uniqueMembers="false" levelType="TimeMonths" hideMemberIf="Never">
</Level>
<Level name="Day" visible="true" table="tbl_declaration_date_dim" column="Day" nameColumn="Day" ordinalColumn="Day" type="Numeric" uniqueMembers="false" levelType="TimeDays" hideMemberIf="Never">
</Level>
</Hierarchy>
</Dimension>
<Dimension type="TimeDimension" visible="true" name="Y dimension">
<Hierarchy name="Y_Hierarchy" visible="true" hasAll="true" primaryKey="date_key">
<Table name="tbl_declaration_date_dim" schema="dbo" alias="">
</Table>
<Level name="Year" visible="true" table="tbl_declaration_date_dim" column="Year" nameColumn="Year" type="Numeric" uniqueMembers="true" levelType="TimeYears" hideMemberIf="Never">
</Level>
<Level name="Month" visible="true" table="tbl_declaration_date_dim" column="Month" nameColumn="Month" ordinalColumn="Month" type="Numeric" uniqueMembers="false" levelType="TimeMonths" hideMemberIf="Never">
</Level>
<Level name="Day" visible="true" table="tbl_declaration_date_dim" column="Day" nameColumn="Day" ordinalColumn="Day" type="Numeric" uniqueMembers="false" levelType="TimeDays" hideMemberIf="Never">
</Level>
</Hierarchy>
</Dimension>
<Cube name="tbl_application_cube" caption="..." visible="true" description="..." cache="true" enabled="true">
<Table name="tbl_appl_olap_fact" schema="dbo">
</Table>
<DimensionUsage source="X dimension" name="X axis" visible="true" foreignKey="date_dim" highCardinality="false">
</DimensionUsage>
<DimensionUsage source="Y dimension" name="Y axis" visible="true" foreignKey="date_dim">
</DimensionUsage>
<Measure name="DeclarationCount" column="declaration_id" aggregator="count" visible="true">
</Measure>
</Cube>
</Schema>

MDX query takes forever to run in jPivot

I am working on a BI project. I am using mondian olap server and jPivot. I am using star model in schema file. The mdx query takes forever to run when I click on the last plus button for drilldown (coming from the right). In the DB there are only around 5000 records. I am using oracle database. The first mdx query is
SELECT NON EMPTY {[Measures].[Revenue]} ON COLUMNS,
NON EMPTY ({([Stream].[All Stream],[Portfolio].[All Portfolio],[Serviceline].[All Serviceline], [Year].[All Year], [Month].[All Month], [Department].[All Department])}) ON ROWS
FROM [RevenueBudget]
WHERE ([Time].[201404] : [Time].[201508])
I have tried executing the query(fourth level) in schema work bench. It hardly takes 40 sec. to execute. I have also checked the background sql queries using java profiler. But its well around one min. So why it is taking so long for jpivot to display the records, if I am right its the problem of jpivot. Any help is highly expected.
The fourth level MDX query got from JPivot MDX editor is below
select NON EMPTY {[Measures].[Revenue]} ON COLUMNS,
NON EMPTY Hierarchize(Crossjoin({[Stream].[All Stream]}, Union(Crossjoin({[Portfolio].[All Portfolio]}, Union(Crossjoin({[Serviceline].[All Serviceline]}, Union(Crossjoin({[Year].[All Year]}, Union(Crossjoin({[Month].[All Month]}, {[Department].[All Department]}), Crossjoin({[Month].[All Month]}, [Department].[All Department].Children))), Crossjoin({[Year].[All Year]}, Union(Crossjoin([Month].[All Month].Children, {[Department].[All Department]}), Crossjoin([Month].[All Month].Children, [Department].[All Department].Children))))), Crossjoin({[Serviceline].[All Serviceline]}, Union(Crossjoin([Year].[All Year].Children, Union(Crossjoin({[Month].[All Month]}, {[Department].[All Department]}), Crossjoin({[Month].[All Month]}, [Department].[All Department].Children))), Crossjoin([Year].[All Year].Children, Union(Crossjoin([Month].[All Month].Children, {[Department].[All Department]}), Crossjoin([Month].[All Month].Children, [Department].[All Department].Children))))))), Crossjoin({[Portfolio].[All Portfolio]}, Union(Crossjoin([Serviceline].[All Serviceline].Children, Union(Crossjoin({[Year].[All Year]}, Union(Crossjoin({[Month].[All Month]}, {[Department].[All Department]}), Crossjoin({[Month].[All Month]}, [Department].[All Department].Children))), Crossjoin({[Year].[All Year]}, Union(Crossjoin([Month].[All Month].Children, {[Department].[All Department]}), Crossjoin([Month].[All Month].Children, [Department].[All Department].Children))))), Crossjoin([Serviceline].[All Serviceline].Children, Union(Crossjoin([Year].[All Year].Children, Union(Crossjoin({[Month].[All Month]}, {[Department].[All Department]}), Crossjoin({[Month].[All Month]}, [Department].[All Department].Children))), Crossjoin([Year].[All Year].Children, Union(Crossjoin([Month].[All Month].Children, {[Department].[All Department]}), Crossjoin([Month].[All Month].Children, [Department].[All Department].Children)))))))))) ON ROWS
from [RevenueBudget]
where ([Time].[201304] : [Time].[201508])
The schema XML file is
<Schema name="RevenueBudget">
<Cube name="RevenueBudget" cache="true" enabled="true">
<Table name="MVW_DIMENSION_TRANSACTIONS"> </Table>
<Dimension name="Time" type="TimeDimension" foreignKey="DIMENSION_TRANSACTION_ID">
<Hierarchy hasAll="false" primaryKey="DIMENSION_TRANSACTION_ID">
<Table name="MVW_DIMENSION_TRANSACTIONS"/>
<Level name="YEAR_MONTH" column="YEAR_MONTH" type="Numeric" uniqueMembers="false"
levelType="TimeYears"/>
</Hierarchy>
</Dimension>
<Dimension type="StandardDimension" foreignKey="STREAM_MASTER_ID" name="Stream">
<Hierarchy allMemberName="All Stream" defaultMember="All Stream" hasAll="true" primaryKey="STREAM_MASTER_ID">
<Table name="MVW_STREAM_MASTERS">
</Table>
<Level name="StrName" column="STREAM_DESCRIPTION" keyColumn="STREAM_MASTER_ID" nameColumn="STREAM_DESCRIPTION" type="String" uniqueMembers="false" levelType="Regular" hideMemberIf="Never">
</Level>
</Hierarchy>
</Dimension>
<Dimension type="StandardDimension" foreignKey="PORTFOLIO_MASTER_ID" name="Portfolio">
<Hierarchy allMemberName="All Portfolio" defaultMember="All Portfolio" hasAll="true" primaryKey="PORTFOLIO_MASTER_ID">
<Table name="MVW_PORTFOLIO_MASTERS">
</Table>
<Level name="PortfolioName" column="PORTFOLIO_DESCRIPTION" keyColumn="PORTFOLIO_MASTER_ID" nameColumn="PORTFOLIO_DESCRIPTION" type="String" uniqueMembers="false" levelType="Regular" hideMemberIf="Never">
</Level>
</Hierarchy>
</Dimension>
<Dimension type="StandardDimension" foreignKey="SERVICELINE_MASTER_ID" name="Serviceline">
<Hierarchy allMemberName="All Serviceline" defaultMember="All Serviceline" hasAll="true" primaryKey="SERVICELINE_MASTER_ID">
<Table name="MVW_SERVICELINE_MASTERS">
</Table>
<Level name="ServicelineName" column="SERVICELINE_DESCRIPTION" keyColumn="SERVICELINE_MASTER_ID" nameColumn="SERVICELINE_DESCRIPTION" type="String" uniqueMembers="false" levelType="Regular" hideMemberIf="Never">
</Level>
</Hierarchy>
</Dimension>
<Dimension type="StandardDimension" foreignKey="YEAR_ID" name="Year">
<Hierarchy allMemberName="All Year" defaultMember="All Year" hasAll="true" primaryKey="YEAR_ID">
<Table name="MVW_YEAR"></Table>
<Level name="YearId" column="YEAR" keyColumn="YEAR_ID" nameColumn="YEAR" type="String" uniqueMembers="false" levelType="Regular" hideMemberIf="Never">
</Level>
</Hierarchy>
</Dimension>
<Dimension type="StandardDimension" foreignKey="MONTH_ID" name="Month">
<Hierarchy allMemberName="All Month" defaultMember="All Month" hasAll="true" primaryKey="MONTH_ID">
<Table name="MVW_MONTH">
</Table>
<Level name="MonthName" column="MONTH" keyColumn="MONTH_ID" nameColumn="MONTH" type="String" uniqueMembers="false" levelType="Regular" hideMemberIf="Never">
</Level>
</Hierarchy>
</Dimension>
<Dimension type="StandardDimension" foreignKey="DEPARTMENT_MASTER_ID" name="Department">
<Hierarchy allMemberName="All Department" defaultMember="All Department" hasAll="true" primaryKey="DEPARTMENT_MASTER_ID">
<Table name="MVW_DEPARTMENT_MASTERS">
</Table>
<Level name="DepartmentName" column="DEPARTMENT_DESCRIPTION" keyColumn="DEPARTMENT_MASTER_ID" nameColumn="DEPARTMENT_DESCRIPTION" type="String" uniqueMembers="false" levelType="Regular" hideMemberIf="Never">
</Level>
</Hierarchy>
</Dimension>
<Measure name="Revenue" column="REVENUE_AMOUNT" datatype="Numeric" aggregator="sum" visible="true"></Measure>
</Cube>
</Schema>
I wonder if moving the set to the WITH clause helps?
WITH
SET [TargetSet] AS
[Stream].[All Stream]*
[Portfolio].[All Portfolio]*
[Serviceline].[All Serviceline]*
[Year].[All Year]*
[Month].[All Month]*
[Department].[All Department]
SELECT
NON EMPTY
{[Measures].[Revenue]} ON COLUMNS
,NON EMPTY
[TargetSet] ON ROWS
FROM [RevenueBudget]
WHERE
[Time].[201404] : [Time].[201508];

MONDRIAN MDX query for period of time

I need to create an OLAP View just from one table in MySQL.
I need to get information from the following columns in my table: Date, Machine, Level, Item, Code, Comment, Downtime.
So I created this Mondrian Schema:
<Schema name="ExampleSchema">
<Cube name="ExampleCube">
<Table name="example_table"/>
<Dimension name="Date">
<Hierarchy hasAll="true" allMemberName="All Date">
<Level name="Date" column="date" uniqueMembers="true"/>
</Hierarchy>
</Dimension>
<Dimension name="Machine">
<Hierarchy hasAll="true" allMemberName="All Machine">
<Level name="Machine" column="machine" uniqueMembers="true"/>
</Hierarchy>
</Dimension>
<Dimension name="Level">
<Hierarchy hasAll="true" allMemberName="All Level">
<Level name="Level" column="level" uniqueMembers="true"/>
</Hierarchy>
</Dimension>
<Dimension name="Item">
<Hierarchy hasAll="true" allMemberName="All Item">
<Level name="Item" column="item" uniqueMembers="true"/>
</Hierarchy>
</Dimension>
<Dimension name="Code">
<Hierarchy hasAll="true" allMemberName="All Code">
<Level name="Code" column="code" uniqueMembers="true"/>
</Hierarchy>
</Dimension>
<Dimension name="Comment">
<Hierarchy hasAll="true" allMemberName="All">
<Level name="Comment" column="comment" uniqueMembers="true"/>
</Hierarchy>
</Dimension>
<Measure name="Downtime" column="downtime" aggregator="sum" formatString="Standard" visible="true"/>
</Cube>
</Schema>
My query looks like follows:
{[Item].[All Item]} * {[Measures].[Downtime]}
ON columns,
{[Code].[All Code]} * {[Comment].[All Comment]}
ON rows
from [ExampleCube]
WHERE
{([Date].[2011-11-31], [Machine].[1500], [Level].[AB])}
It works, but I want to have measures not for a single date, but for a period of time (from the start date till the end date).
Try using the range operator :
{[Item].[All Item]} * {[Measures].[Downtime]}
ON columns,
{[Code].[All Code]} * {[Comment].[All Comment]}
ON rows
from [ExampleCube]
WHERE
(
{[Date].[2011-11-31]:[Date].[2015-06-25]}
, [Machine].[1500], [Level].[AB]
)
Both dates [Date].[2011-11-31]:[Date].[2015-06-25] must exist within your cube.

How to add level to column to result MDX in mondrian

I have the following table created by the following MDX
SELECT
{
[Measures].numTickets
}ON COLUMNS,
{
Descendants(DateCreacion.Children, DateCreacion.Month)
}ON ROWS
FROM tickets
The thing is that i want to add another column to the numTickets but every time i add a dimension to the column, i get an empty column.
select {[Clinica].Children} ON COLUMNS,
{Descendants([DateCreacion].Children, [DateCreacion.YQMD].[Month])} ON ROWS
from [tickets]
How would i show the same data as the first picture but in the second format?
<Schema name="New Schema1">
<Cube name="tickets" visible="true" cache="true" enabled="true">
<Table name="fact">
</Table>
<Dimension type="TimeDimension" visible="true" foreignKey="fecha_tickets_id" name="DateCreacion">
<Hierarchy name="YQMD" visible="true" hasAll="true">
<Table name="dim_fecha_creacion_tickets" alias="">
</Table>
<Level name="Year" visible="true" column="año" type="Numeric" uniqueMembers="false" levelType="TimeYears">
</Level>
<Level name="Quarter" visible="true" column="cuarto" type="Numeric" uniqueMembers="false" levelType="TimeQuarters">
</Level>
<Level name="Month" visible="true" column="mes" type="Numeric" uniqueMembers="false" levelType="TimeMonths">
</Level>
<Level name="Day" visible="true" column="dia" type="Numeric" uniqueMembers="false" levelType="TimeDays">
<Property name="date_iso" column="date_iso" type="Numeric">
</Property>
</Level>
</Hierarchy>
</Dimension>
<Dimension type="StandardDimension" visible="true" foreignKey="clinica_id" name="Clinica">
<Hierarchy name="New Hierarchy 0" visible="true" hasAll="true">
<Table name="dim_posicion" alias="">
</Table>
<Level name="Posicion" visible="true" column="sigla" type="String" uniqueMembers="false">
</Level>
</Hierarchy>
</Dimension>
<Measure name="numTickets" column="idTicket" datatype="Numeric" aggregator="count" visible="true">
</Measure>
</Cube>
</Schema>
When adding the [Clinica].Children to the columns, you removed the measures.
You probably want to keep them, using a cross join, which can be stated using the * operator in MDX: Either
select {[Clinica].Children}
*
{ [Measures].numTickets }
ON COLUMNS,
...
or
select { [Measures].numTickets }
*
{[Clinica].Children}
ON COLUMNS,
...
depending on the order of columns you want to see.