I'm using Mondrian and I have this query (Let's call it [query A]):
SELECT
NON EMPTY {Hierarchize({[Games].[**Some Game Name**]})} ON COLUMNS,
NON EMPTY {Hierarchize({[Users].[User Name].Members})} ON ROWS
FROM [Games_G]
Which returns me a list of users who are fan of a game given, and within the users returned from [query A] I have to run [query B]:
SELECT
NON EMPTY {Hierarchize({[Games].[Game Name].Members})} ON COLUMNS,
NON EMPTY {Hierarchize({[Measures].[Fans]})} ON ROWS
FROM [Games_G]
WHERE {Hierarchize({{[Users].[**Some Username**], [Users].[**Some UsernameTwo**], [Users].[**Some UsernameThree**], etc}})}
How can I merge between the two queries?
Thanks in advance and sorry for being a mdx-query-noob.
How about that one using the NonEmpty function:
SELECT
NON EMPTY {Hierarchize({[Games].[Game Name].Members})} ON COLUMNS,
NON EMPTY {Hierarchize({[Measures].[Fans]})} ON ROWS
FROM ( SELECT
NonEmpty(
[Users].[User Name].Members,
( [Games].[**Some Game Name**] , [Measures].[Fans] )
) on 0
FROM [Games_G]
)
[edit] sub-query does not seem supported by Mondrian
Related
So this question goes off the one here
I've been trying to do a similar count measure and I did the suggested solution but it's still running.... and it's been more than 30 minutes with no results, while without that it runs in under a minute. So am I missing something? Any guidance would help. Here is my query:
WITH
MEMBER [Measures].[IteractionCount] AS
NONEMPTY
(
FILTER
(
([DimInteraction].[InteractionId].[ALL].Children,
[Measures].[Impression Count]),
[DimInteraction].[Interaction State].&[Enabled]
)
).count
SELECT
(
{[Measures].[IteractionCount],
[Measures].[Impression Count]}
)
ON COLUMNS,
(
([DimCampaign].[CampaignId].[CampaignId].MEMBERS,
[DimCampaign].[Campaign Name].[Campaign Name].MEMBERS,
[DimCampaign].[Owner].[Owner].MEMBERS)
,[DimDate].[date].[date].MEMBERS
)
ON ROWS
FROM
(
SELECT
(
{[DimDate].[date].&[2020-05-06T00:00:00] : [DimDate].[date].&[2020-05-27T00:00:00]}
)
ON COLUMNS
FROM [Model]
)
WHERE
(
{[DimCampaign].[EndDate].&[2020-05-27T00:00:00]:NULL},
[DimCampaign].[Campaign State].&[Active],
{[DimInteraction].[End Date].&[2020-05-27T00:00:00]:NULL}//,
//[DimInteraction].[Interaction State].&[Enabled]
)
I don't know if FILTER is affecting it in any way but I tried it with and without and it still runs forever. I do need it specifically filtered to [DimInteraction].[Interaction State].&[Enabled]. I have also tried to instead filter to that option in the WHERE clause but no luck
Any suggestions to optimize this would be greatly appreciated! thanks!
UPDATE:
I end up using this query to load data into a python dataframe. Here is my code for that. I used this script for connecting and loading the data. I had to make some edits to it though to use windows authentication.
ssas_api._load_assemblies() #this uses Windows Authentication
conn = ssas_api.set_conn_string(server='server name',db_name='db name')
df = ssas_api.get_DAX(connection_string=conn, dax_string=query))
The dax_string parameter is what accepts the dax or mdx query to pull from the cube.
Please try this optimization:
WITH
MEMBER [Measures].[IteractionCount] AS
SUM
(
[DimInteraction].[InteractionId].[InteractionId].Members
* [DimInteraction].[Interaction State].&[Enabled],
IIF(
IsEmpty([Measures].[Impression Count]),
Null,
1
)
)
SELECT
(
{[Measures].[IteractionCount],
[Measures].[Impression Count]}
)
ON COLUMNS,
(
([DimCampaign].[CampaignId].[CampaignId].MEMBERS,
[DimCampaign].[Campaign Name].[Campaign Name].MEMBERS,
[DimCampaign].[Owner].[Owner].MEMBERS)
,[DimDate].[date].[date].MEMBERS
)
PROPERTIES MEMBER_CAPTION
ON ROWS
FROM
(
SELECT
(
{[DimDate].[date].&[2020-05-06T00:00:00] : [DimDate].[date].&[2020-05-27T00:00:00]}
)
ON COLUMNS
FROM [Model]
)
WHERE
(
{[DimCampaign].[EndDate].&[2020-05-27T00:00:00]:NULL},
[DimCampaign].[Campaign State].&[Active],
{[DimInteraction].[End Date].&[2020-05-27T00:00:00]:NULL}//,
//[DimInteraction].[Interaction State].&[Enabled]
)
CELL PROPERTIES VALUE
If that doesn’t perform well the please describe the number of rows returned by your query when you comment out IteractionCount (sic) from the columns axis. And please describe how many unique InteractionId values you have.
I would like to order a set of results in an MDX query which also includes a crossjoin.
I have the following measures and dimensions:
[Measures].[Starts]
[Framework].[Framework Name]
[Framework].[Pathway Name]
I would like to create a list of the (corresponding) Framework and Pathway names that correspond to the top 25 numbers of [Measures].[Starts].
I have managed to output a FULL list of results using:
select [Measures].[Starts] on COLUMNS,
NON EMPTY CrossJoin(
Hierarchize({DrilldownLevel({[Framework].[Pathway Name].Children})}),
Hierarchize({DrilldownLevel({[Framework].[Framework Name].Children})})
) on ROWS
from [DataCube]
to create the following example output:
However, I need it to be sorted by the starts in descending order (and preferably only keep the top 25 results). I have tried almost everything and have failed. A google search didn't find any results.
Did you stumble across the TopCount function?
select [Measures].[Starts] on COLUMNS,
NON EMPTY
TopCount
(
CrossJoin
(
Hierarchize({DrilldownLevel({[Framework].[Pathway Name].Children})}),
Hierarchize({DrilldownLevel({[Framework].[Framework Name].Children})})
),
25,
[Measures].[Starts]
) on ROWS
from [DataCube]
Here's the msdn link.
H2H
For efficiency it is better to order the set before using the TopCount function:
WITH
SET [SetOrdered] AS
ORDER(
{DrilldownLevel([Framework].[Pathway Name].Children)}
*{DrilldownLevel([Framework].[Framework Name].Children)}
,[Measures].[Starts]
,BDESC
)
SET [Set25] AS
TOPCOUNT(
[SetOrdered]
,25
)
SELECT
[Measures].[Starts] on 0,
NON EMPTY
[Set25] on 1
FROM [DataCube];
Right now I'm dealing with a program that can generate and return SQL or MDX queries (depending on the source database of the queries). I'm working on adding a feature that counts all the rows returned by a given query.
Now, I have some small background with SQL, so I was able to parse table names and generate a rowcount. However, MDX is a completely new beast for me.
In SQL, I'm creating:
SELECT
COUNT(SUM)
AS ROWS
FROM
(
COUNT(*) AS COUNT FROM TABLE1
UNION ALL
COUNT(*) AS COUNT FROM TABLE2
UNION ALL
COUNT(*) AS COUNT FROM TABLE3
ETC...
)
Now, what I'm wondering is, how would I do something similar with MDX? I've done some reading on MDX, and from what I gathered the basic notation is
[Dimension].[Hierarchy].[Level]
Now with SQL, I parsed the table names out of a larger generated query and simply inserted them into a new programmatically generated query. What would I have to grab from a larger MDX query to generate my own rowcounting query and sending it off to run? A simpler example of the MDX I'm dealing with would be:
WITH
MEMBER [BUSINESS1].[XQE_RS_CM1] AS '([BUSINESS1].[COMPANY_H].[all])', SOLVE_ORDER = 8
MEMBER [BUSINESS2].[XQE_RS_CM0] AS '([BUSINESS2].[all])', SOLVE_ORDER = 4
SELECT
NON EMPTY {[BUSINESS2].[ALL_TIME_H].[CALENDAR_YEAR_L].MEMBERS AS [XQE_SA1] , HEAD({[BUSINESS2].[XQE_RS_CM0]}, COUNT(HEAD([XQE_SA1]), INCLUDEEMPTY))} DIMENSION PROPERTIES PARENT_LEVEL, PARENT_UNIQUE_NAME ON AXIS(0),
NON EMPTY {[BUSINESS1].[COMPANY_H].[COMPANY_CD__L].MEMBERS AS [XQE_SA0] , HEAD({[BUSINESS1].[XQE_RS_CM1]}, COUNT(HEAD([XQE_SA0]), INCLUDEEMPTY))} DIMENSION PROPERTIES PARENT_LEVEL, PARENT_UNIQUE_NAME ON AXIS(1),
NON EMPTY {[Measures].[Measures].[BUSINESS3]} DIMENSION PROPERTIES PARENT_LEVEL, PARENT_UNIQUE_NAME ON AXIS(2)
FROM
[SOURCE] CELL PROPERTIES CELL_ORDINAL, FORMAT_STRING, VALUE
Any insight would be awesome, thanks.
At first glance your script looks reasonable then after unravelling it becomes a bit(!) more complex.
The main difference between this and other scripts is its use of axis(2). In a sub-select extra dimensions are often used but this is a little odd as most clients can't handle 3 dimensional cellsets - so I'm intrigued by what is consuming this info?
Also the member [BUSINESS1].[XQE_RS_CM1] is a single member as is [BUSINESS2].[XQE_RS_CM0] so what is the point of the sections HEAD... ?
WITH
MEMBER [BUSINESS1].[XQE_RS_CM1] AS
([BUSINESS1].[COMPANY_H].[all]), SOLVE_ORDER = 8
MEMBER [BUSINESS2].[XQE_RS_CM0] AS
([BUSINESS2].[all]), SOLVE_ORDER = 4
SELECT
NON EMPTY
{[BUSINESS2].[ALL_TIME_H].[CALENDAR_YEAR_L].MEMBERS AS [XQE_SA1]
,HEAD(
{[BUSINESS2].[XQE_RS_CM0]},
COUNT(
HEAD([XQE_SA1])
,INCLUDEEMPTY
)
)}
ON AXIS(0),
NON EMPTY
{[BUSINESS1].[COMPANY_H].[COMPANY_CD__L].MEMBERS AS [XQE_SA0]
,HEAD(
{[BUSINESS1].[XQE_RS_CM1]},
COUNT(
HEAD([XQE_SA0])
,INCLUDEEMPTY
)
)}
ON AXIS(1),
NON EMPTY
{
[Measures].[Measures].[BUSINESS3]
}
ON AXIS(2)
FROM
[SOURCE]
Does the following return the same data as the original script?
SELECT
NON EMPTY
{
[BUSINESS2].[ALL_TIME_H].[CALENDAR_YEAR_L].MEMBERS
,[BUSINESS2].[all]
}
ON 0,
NON EMPTY
{
[BUSINESS1].[COMPANY_H].[COMPANY_CD__L].MEMBERS
,[BUSINESS1].[COMPANY_H].[all]
}
ON 1
FROM [SOURCE]
WHERE [Measures].[Measures].[BUSINESS3];
All you need to calculate then is the count of members returned in the following set on the rows:
{
[BUSINESS1].[COMPANY_H].[COMPANY_CD__L].MEMBERS
,[BUSINESS1].[COMPANY_H].[all]
}
When I run this mdx query, works fine (get the children members from a hierarchy level):
select {} on columns,
[Dimension].[hierarchy].[level].children on rows
from [Cube]
But, when I add some tuple on rows, doesn't filter filter the children members (shows all the members) :S
select {} on columns,
[Dimension].[hierarchy].[level].children
* [Dimension2].[hierarchy2].[level2].allmembers on rows
from [Cube]
* is a cross join - you will get the Cartesian product of [Dimension].[hierarchy].[level].children and [Dimension2].[hierarchy2].[level2].allmembers because they are different dimensions.
If they were two hierarchies from the same dimension then auto exist behaviour would limit the results e.g. Year2014 crossed with month should just show the months in 2014.
Try using DESCENDANTS function + you might not require NULLs so try the NON EMPTY
SELECT
{} ON COLUMNS,
NON EMPTY
DESCENDANTS(
[Dimension].[hierarchy].[level].[PickAHigherUpMember],
[Dimension].[hierarchy].[PickTheLevelYouWantToDrillTo]
)
*
[Dimension2].[hierarchy2].[level2].allmembers ON ROWS
FROM [Cube]
if you look at the mdx language reference for children, you will also find another example of how to use the function with a hierarchy in stead of a member_expression.
http://msdn.microsoft.com/en-us/library/ms146018.aspx
but it won't work with a hierarchy level.
Maybe the row expression was initialy a hierarchy that you've have changed into a level expression.
in the following a similar working mdx with a hierarchy on rows:
select {} on 0,
[Product].[Model Name].children
*
[Geography].[Country].[All Geographies]
on 1
FROM [Adventure Works
Philip,
I guess you want only those rows where the children have a value on the default measure. In that case you could try the following:
select {} on columns,
Nonempty([Dimension].[hierarchy].[level].children
* [Dimension2].[hierarchy2].[level2].allmembers) on rows
from [Cube]
Now if, for the children, you'd need all the members from Dimension2 then you could try:
select {} on columns,
Nonempty([Dimension].[hierarchy].[level].children, [Dimension2].[hierarchy2].[level2].allmembers)
* [Dimension2].[hierarchy2].[level2].allmembers) on rows
from [Cube]
In the second case the Nonempty function takes a second parameter and the cross join is done with the result of the Nonempty function. For the documentation on Nonempty including the usage of the second parameter see https://learn.microsoft.com/en-us/sql/mdx/nonempty-mdx
I have an MDX query:
SELECT
NON EMPTY {Hierarchize({[Measures].[Rating]})} ON COLUMNS,
NON EMPTY {Hierarchize({[Response].[Response Name].Members})} ON ROWS
FROM [Ratings]
That returns a table of Response Names to Response count. This query returns a row for ALL responses, though, and I just want the most recent 10 responses.
I tried to do this using HEAD like so:
SELECT
NON EMPTY {Hierarchize({[Measures].[Rating]})} ON COLUMNS,
HEAD(NON EMPTY {Hierarchize({[Response].[Response Name].Members})}, 10) ON ROWS
FROM [Ratings]
but it gives an error "Syntax error at line 3, column 18, token 'NON'"
If I remove the NON EMPTY, then it works as I would expect (returns only 10 members), but then it includes the empty Ratings.
How can I use NON EMPTY and HEAD together? (Or accomplish the same thing another way)
I believe it is already a bit late for the answer, but here's the solution I used (I was having the same problem):
select {[Measures].[Percentage Present]} ON COLUMNS,
Head(Filter([Student].[Student].AllMembers, not isEmpty([Measures].[Percentage Present])),10) ON ROWS
from [Attendance]
Head + Filter(, not isEmpty([measure])) did the trick!
Not sure to understand what you mean by 'last' but here is a statement using the NonEmpty function instead of the NON EMPTY keywords:
SELECT
NON EMPTY [Measures].[Rating] ON COLUMNS,
HEAD( NonEmpty(
[Response].[Response Name].Members,
[Measures].[Rating]
),
10
) ON ROWS
FROM [Ratings]