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.
Related
I am using Tibco Jaspersoft to generate the report.
Expected result:-
Created Schema File:
<Schema name="Telemetry Count Schema">
<Cube name="Telemetry Count Cube" cache="true" enabled="true">
<Table name="device_telementry">
</Table>
<Dimension type="StandardDimension" foreignKey="companyId" name="Tenant">
<Hierarchy hasAll="true" allMemberName="All Tenant" primaryKey="id">
<Table name="device">
</Table>
<Level name="Tenant Level " column="name" type="String" uniqueMembers="true" levelType="Regular" hideMemberIf="Never">
</Level>
</Hierarchy>
</Dimension>
<Dimension type="StandardDimension" foreignKey="subscriptionId" name="Subscription">
<Hierarchy hasAll="true" allMemberName="All Subscription" primaryKey="id">
<Table name="subscription">
</Table>
<Level name="Subscription Level" column="name" type="String" uniqueMembers="true" levelType="Regular" hideMemberIf="Never">
</Level>
</Hierarchy>
</Dimension>
<Dimension type="StandardDimension" foreignKey="applicationId" name="Application">
<Hierarchy hasAll="true" allMemberName="All Application" primaryKey="id">
<Table name="application">
</Table>
<Level name="Application Level" column="name" type="String" uniqueMembers="true" levelType="Regular" hideMemberIf="Never">
</Level>
</Hierarchy>
</Dimension>
<Dimension type="StandardDimension" foreignKey="gatewayId" name="Gateway">
<Hierarchy hasAll="true" allMemberName="All Gateway" primaryKey="id">
<Table name="gateway">
</Table>
<Level name="Gateway Level" column="name" type="String" uniqueMembers="true" levelType="Regular" hideMemberIf="Never">
</Level>
</Hierarchy>
</Dimension>
<Dimension type="StandardDimension" foreignKey="deviceId" name="Device">
<Hierarchy hasAll="true" allMemberName="All Device" primaryKey="id">
<Table name="device">
</Table>
<Level name="Device Level" column="name" type="String" uniqueMembers="true" levelType="Regular" hideMemberIf="Never">
</Level>
</Hierarchy>
</Dimension>
<Measure name="Telemetry Count" column="telemetry_count" aggregator="sum" visible="true">
</Measure>
<Measure name="Telemetry Item Count" column="telemetry_item_count" aggregator="count" visible="true">
</Measure>
</Cube>
</Schema>
MDX Query:-
select {[Measures].[Telemetry Count], [Measures].[Telemetry Item Count]} ON COLUMNS,
{[Gateway].[All Gateway], [Gateway].[All Gateway].Children, [Device].[All Device], [Device].[All Device].Children} ON ROWS
from [Telemetry Count Cube]
Error Message:
Mondrian Error: All arguments to function '{}' must have same
hierarchy.
What am I doing wrong here?
Resultant MDX Query:-
select {[Measures].[Telemetry Count], [Measures].[Telemetry Item Count]} ON COLUMNS,
NON EMPTY
{ CrossJoin ( {([Application].members)}, {CrossJoin ( {([Gateway].members)}, {([Device].members)} ) }) }
ON ROWS
from [Telemetry Count 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?
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>
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.
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:
loginNote
logoutNote
timestamp
userFirstName
So I created this Mondrian Schema:
<Schema name="Login">
<Cube name="Login" visible="true" cache="true" enabled="true">
<Table name="event_log">
</Table>
<Dimension visible="true" highCardinality="false" name="UserFirstName">
<Hierarchy visible="true" hasAll="true" allMemberName="All UserFirstName">
<Level name="UserFirstName" visible="true" column="userFirstName" type="String" uniqueMembers="true" levelType="Regular" hideMemberIf="Never">
</Level>
</Hierarchy>
</Dimension>
<Dimension visible="true" highCardinality="false" name="LoginNote">
<Hierarchy visible="true" hasAll="true" allMemberName="All LoginNote">
<Level name="LoginNote" visible="true" column="loginNote" type="String" uniqueMembers="true" levelType="Regular" hideMemberIf="Never">
</Level>
</Hierarchy>
</Dimension>
<Dimension visible="true" highCardinality="false" name="LogoutNote">
<Hierarchy visible="true" hasAll="true" allMemberName="All UserFirstName">
<Level name="LogoutNote" visible="true" column="logoutNote" type="String" uniqueMembers="true" levelType="Regular" hideMemberIf="Never">
</Level>
</Hierarchy>
</Dimension>
<Measure name="Users" column="userFirstName" aggregator="count" description="Users">
</Measure>
I would like to know how can I run a MDX query to be able to show on the rows the LoginNote and LogoutNote information, and in the columns, the UserFirstName.
I was able to run
Select
UserFirstName.Children ON COLUMNS,
LogoutNote.Children ON ROWS
FROM Login
or
Select
UserFirstName.Children ON COLUMNS,
LoginNote.Children ON ROWS
FROM Login
but I cannot run
Select
UserFirstName.Children ON COLUMNS,
{LogoutNote.Children,LoginNote.Children} ON ROWS
FROM Login
because an error is returned:
All arguments to function '{}' must have same hierarchy.
Any help will be appreciated!
Thanks!
The {...} notation is shorthand for Union(...), which combines two sets of members together. Those members must come from the same hierarchy (as the error message says), but you are including members from LogoutNote and LoginNote which are different dimensions/hierarchies.
If you want to combine hierarchies, you need to Crossjoin() them, creating a cartesian product of the two sets.
SELECT
UserFirstName.Children ON COLUMNS,
Crossjoin(LogoutNote.Children, LoginNote.Children) ON ROWS
FROM Login
I'm not sure if this is exactly what you expect as the results from your query, and you might want to add a NON EMPTY before that Crossjoin() to eliminate all the combinations of LoginNote and LogoutNote that have no values.
Hope that sets you on the right track.