I am writing an MDX query in which i am selecting some Measures and while selection i have a where condition in which i am doing a cross join two facts , one is date and another a unique id and i am passing around 2000 unique ids and the query is taking around 20 minutes to execute and give the result.
Please find below query for the same
SELECT {[Measures].[TOTAL1], [Measures].[TOTAL2], [Measures].[TOAL3]} ON COLUMNS,
" + " {TOPCOUNT(FILTER([ID].[Ids].MEMBERS,
[ID].CurrentMember > 0),
5,[Measures].[TOTAL])} " + "ON ROWS
FROM [CHARTS]
WHERE({[Date].&[2015-09-01 00:00:00.0]}*{[NUM].[1],[NUM].[10],"
+ "[NUM].[18],[NUM].[47],[NUM].[52],[NUM].[105],[NUM].[126],[NUM].[392],"
+ "[NUM].[588],[NUM].[656],[NUM].[995],[NUM].[1005],[NUM].[1010],[NUM].[1061]})";
The straight mdx without the string manipulation operators (+) is as follows:
SELECT
{
[Measures].[TOTAL1]
,[Measures].[TOTAL2]
,[Measures].[TOAL3]
} ON COLUMNS
,{
TopCount
(
Filter
(
[ID].[Ids].MEMBERS
,
[ID].CurrentMember > 0
)
,5
,[Measures].[TOTAL]
)
} ON ROWS
FROM [CHARTS]
WHERE
{[Date].&[2015-09-01 00:00:00.0]}
*
{
[NUM].[1]
,[NUM].[10]
,[NUM].[18]
,[NUM].[47]
,[NUM].[52]
,[NUM].[105]
,[NUM].[126]
,[NUM].[392]
,[NUM].[588]
,[NUM].[656]
,[NUM].[995]
,[NUM].[1005]
,[NUM].[1010]
,[NUM].[1061]
};
Can you please tell me the different performance optimization techniques for the same.
TopCount is slow if you use the third ordering parameter - it is better to order the data first and then feed your pre-ordered set into TopCount with just 2 parameters:
WITH
SET [S0] AS
Filter
(
[ID].[Ids].MEMBERS
,
[ID].CurrentMember > 0
)
SET [S1] AS
Order
(
[S0]
,[Measures].[TOTAL]
,BDESC
)
SET [S2] AS
TopCount
(
[S1]
,5
)
SELECT
{
[Measures].[TOTAL1]
,[Measures].[TOTAL2]
,[Measures].[TOAL3]
} ON COLUMNS
,[S2] ON ROWS
FROM [CHARTS]
WHERE
{[Date].&[2015-09-01 00:00:00.0]}
*
{
[NUM].[1]
,[NUM].[10]
,[NUM].[18]
,[NUM].[47]
,[NUM].[52]
,[NUM].[105]
,[NUM].[126]
,[NUM].[392]
,[NUM].[588]
,[NUM].[656]
,[NUM].[995]
,[NUM].[1005]
,[NUM].[1010]
,[NUM].[1061]
};
Related
I have the following tables:
Episodes:
Clients:
My DAX calculation sums up [Days_epi] unique values, from Episodes tbl, grouping them by [ProgramID_epi], [EpisodeID_epi], [ClientID_epi].
So, the SUM of [Days_epi] = 3 + 5 + 31 + 8 + 15 + 20 + 10 = 92
Here is my working code for this:
DaysSUM =
CALCULATE (
SUMX (
SUMMARIZE (
'Episodes',
'Episodes'[EpisodeID_epi],
'Episodes'[ProgramID_epi],
'Episodes'[ClientID_epi],
'Episodes'[Days_epi]
),
'Episodes'[Days_epi]
),
FILTER (
'Episodes',
'Episodes'[Category_epi] = "Homeless"
)
)
I need to add two advanced filters to the calculation above:
Filter 1 should ONLY KEEP records in Episodes, if the records in the Clients have the difference between [DischDate_clnt] and [AdmDate_clnt] >= 365.
Filter 1 in SQL statement is
DATEDIFF(DAY, [AdmDate_clnt], [DischDate_clnt]) >= 365)
After that, Filter 2 should ONLY KEEP records in Episodes, if the records in the Clients have
[Date_clnt] >= [AdmDate_clnt] + 12 months. (12 month after the Admission Date)
Filter 2 in SQL statement is
[Date_clnt] <= DATEADD(MONTH, 12, [[AdmDate_clnt])
So, after applying those two filters I expect the records 6 and 10 of the Episodes tbl must be excluded (filtered out), because the records 2 and 3 of the Clients tbl (highlighted in green) are not satisfied my Filter 1 / Filter 2.
Here is the final Episodes dataset I should have (without the 2 records in red):
I was starting to update my DAX code as the following (below).
But keep receiving error "Parameter is not the correct type"
enter
DaysSUM_Filters =
CALCULATE (
SUMX (
SUMMARIZE (
'Episodes',
'Episodes'[EpisodeID_epi],
'Episodes'[ProgramID_epi],
'Episodes'[ClientID_epi],
'Episodes'[Days_epi]
),
'Episodes'[Days_epi]
),
FILTER (
'Episodes',
'Episodes'[Category_epi] = "Homeless"
), TREATAS(DATEDIFF('Clients'[AdmDate_clnt],
'Clients'[DischDate_clnt], DAY)>=365,
'Clients'[Date_clnt])
)
Not exactly sure how to set those 2 filters correctly in DAX Power BI, as I
am relatively new to it.
Please help!
I can't say about all the case. But what is obvious is that you use TREATAS in a wrong way. It works like this TREATAS({"Red", "White", "Blue"}, 'Product'[Color]).
In your case
DATEDIFF('Clients'[AdmDate_clnt],
'Clients'[DischDate_clnt], DAY)>=365
will return TRUE or FALSE value. The first argument of TREATAS - is a column or set of columns not a single value.
You can use the filter like this:
FILTER(
'Clients'
,DATEDIFF(
'Clients'[AdmDate_clnt]
,'Clients'[DischDate_clnt]
,DAY
)>=365
)
This will return you a filtered table.
This may work if your tables are linked.
I have to implement a query with the following requirements.
1) I need to have multiple conditions(with AND,OR).
2) There are conditions where I need to exclude the records with a particular value.
SELECT {...} ON Columns, {...} ON ROWS
FROM
(SELECT {([Element1].[Value].&[98]&[002], [Element2].Value.&[Value1]),
([Element1].[Value].&[98]&[004], [Element2].Value.&[Value2]), ([Element1].[Value].&[98]&[005], [Element2].Value.NOTIN[value1, value2]), } ON Columns
FROM [CubeName])
I have mentioned NOTIN[value1,value2]) as I am unaware of how this can be implemented. I have to get all values except those mentioned. Please let me know if any one can provide a solution.
You would generally use the function EXCEPT to exclude some members from a set:
SELECT
{...} ON 0
, {...} ON 1
FROM
(
SELECT
EXCEPT(
[Element1].[Value].[Value].MEMBERS //<<name of the full set
,{ //<<the set to be excluded
[Element1].[Value].&[98]&[002],
[Element1].[Value].&[98]&[004],
[Element1].[Value].&[98]&[005]
} ON 0
FROM [CubeName]
);
The above could be expanded out to tuples but the first argument will need to be a cross-join:
SELECT
{...} ON 0
, {...} ON 1
FROM
(
SELECT
EXCEPT(
[Element1].[Hier1].[Hier1].MEMBERS
* [Element1].[Hier2].[Hier2].MEMBERS //<<name of the full set
,{ //<<the set to be excluded
([Element1].[Hier1].[Hier1].&[Value1],[Element1].[Hier2].[Hier2].&[Value1]),
([Element1].[Hier1].[Hier1].&[Value2],[Element1].[Hier2].[Hier2].&[Value2]),
([Element1].[Hier1].[Hier1].&[Value3],[Element1].[Hier2].[Hier2].&[Value3]),
} ON 0
FROM [CubeName]
);
I need to filter data from Cube using Date without day inclusion.
Currently I am using following MDX query, that is fetching measures data starting from 1st day of the year and ending on the last day.
But, I only want to have Month-Year in date time at rows rather than DateTime with all days. ( Here my field for date is : [Period].[TransportDate] )
Following is the MDX Query.
SELECT
NON EMPTY
{
[Measures].[ConsignmentCount]
, [Measures].[CBM]
, [Measures].[LDM]
, [Measures].[Weight]
, [Measures].[Amount] } ON COLUMNS,
NON EMPTY
{ [Period].[TransportDate].Children } ON ROWS
FROM
(
SELECT
(
{ [Period].[YearAndMonth].[ConsignmentYear].&[2014]
, [Period].[YearAndMonth].[ConsignmentYear].&[2015] }
) ON COLUMNS
FROM [RebellOlap]
)
Above query fetching all records starting from 1st day till the last day of 2015. See attached image ( allRecords )
But I want somehow in following manner ( Required Data Set )
I want single column instead of Month and year. So
final data set should be
( e.g Date ( 07-2015 ), Amount,CBM, LDM, Num,. Consignments )
I know there's a way to extract only month and year from the whole date. But that works only for single date. What I want to have all dates must be filtered with the inclusion of month and Year and data should also corresponds to those dates accordingly. See above expected filtered data set.
Edit
WITH MEMBER [YearMo] AS
[Period].[ConsignmentYear].Currentmember.Name
+ "-" +
[Period].[ConsignmentMonth].Currentmember.Name
SELECT
NON EMPTY
{
[Measures].[ConsignmentCount]
, [Measures].[CBM]
, [Measures].[LDM]
, [Measures].[Weight]
, [Measures].[Amount]
} ON COLUMNS ,
NON EMPTY
(
{
[Period].[YearAndMonth].[ConsignmentMonth]
}
) ON ROWS
FROM
(
SELECT
(
{
[Period].[YearAndMonth].[ConsignmentYear].&[2014]
, [Period].[YearAndMonth].[ConsignmentYear].&[2015]
}
) ON COLUMNS
FROM [RebellOlap]
)
above produces result but without Year.
I want somehow to have year with month on the same columns.
so 01 would becomd 01-2014.
Could you help me
Results without concatenation
Either you have to create a new field as 'YYYY-mm' in the dimension view (cube design-sql view) or you can concatenate the year & month dimension attributes (Example below).
Example Code:
WITH MEMBER [YearMo] AS
[Period].[Monthly].Currentmember.Name
+ "-" + [Period].[YearAndMonth].Currentmember.Name
SELECT
NON EMPTY {[Measures].[ConsignmentCount], [Measures].[CBM], [Measures].[LDM], [Measures].[Weight], [Measures].[Amount]} ON COLUMNS
, NON EMPTY ( { [Period].[Monthly].[Year] } , { [Period].[YearAndMonth].[ConsignmentMonth] } ) ON ROWS
FROM
(
SELECT ( { [Period].[YearAndMonth].[ConsignmentYear].&[2014], [Period].[YearAndMonth].[ConsignmentYear].&[2015] } ) ON COLUMNS
FROM [RebellOlap]
)
Maybe try hosting the calculated member in a different hierarchy. I have guessed this [Forwarder].[Forwarder].[All] and you will need to adjust to a hierarchy that exists in your cube:
WITH MEMBER [Forwarder].[Forwarder].[All].[YearMo] AS
[Period].[Year].Currentmember.Name
+ "-" +
[Period].[Month].Currentmember.Name
SELECT
NON EMPTY
{
[Measures].[ConsignmentCount]
, [Measures].[CBM]
, [Measures].[LDM]
, [Measures].[Weight]
, [Measures].[Amount]
} ON COLUMNS ,
NON EMPTY
[Period].[Year].[Year]
*[Period].[Month].[Month]
*[Forwarder].[Forwarder].[All].[YearMo]
ON ROWS
FROM
(
SELECT
(
{
[Period].[YearAndMonth].[ConsignmentYear].&[2014]
, [Period].[YearAndMonth].[ConsignmentYear].&[2015]
}
) ON COLUMNS
FROM [RebellOlap]
)
Or if the above produces an error then you may need to create a measure first:
WITH
MEMBER [Measures].[YearMoString] AS
[Period].[Year].Currentmember.Name
+ "-" +
[Period].[Month].Currentmember.Name
MEMBER [Forwarder].[Forwarder].[All].[YearMo] AS
(
[Forwarder].[Forwarder].[All]
,[Measures].[YearMoString]
)
SELECT
NON EMPTY
{
[Measures].[ConsignmentCount]
, [Measures].[CBM]
, [Measures].[LDM]
, [Measures].[Weight]
, [Measures].[Amount]
} ON COLUMNS ,
NON EMPTY
[Period].[Year].[Year]
*[Period].[Month].[Month]
*[Forwarder].[Forwarder].[All].[YearMo]
ON ROWS
FROM
(
SELECT
(
{
[Period].[YearAndMonth].[ConsignmentYear].&[2014]
, [Period].[YearAndMonth].[ConsignmentYear].&[2015]
}
) ON COLUMNS
FROM [RebellOlap]
)
I wanted to do the trend analysis between the dates. For an instance current date- 30 days
30-60 days and so on.Below is the snippet of comparable sql query but same I wanted to do in MDX.
SQL
SELECT
ROUND
(
(
(
(
SELECT
SUM(del_pri_impr)
FROM
reporting.so_sli_calc_val a,
reporting.user_group_tenant b,
reporting.salesorder c
WHERE
created_on BETWEEN DATE(now()-30) AND DATE(now())
)
-
(
SELECT
SUM(del_pri_impr)
FROM
reporting.so_sli_calc_val a,
reporting.user_group_tenant b,
reporting.salesorder c
WHERE
created_on BETWEEN DATE(now()-60) AND DATE(now()-30)
)
)
/
(
SELECT
SUM(del_pri_impr)
FROM
reporting.so_sli_calc_val a,
reporting.user_group_tenant b,
reporting.salesorder c
WHERE
created_on BETWEEN DATE(now()-60) AND DATE(now()-30)
) *100
)
,
0
) AS trend
MDX:
WITH
SET [~FILTER] AS
{[Created_Date.Created_Hir].[Created_On].[2014-04-01]:[Created_Date.Created_Hir].[Created_On].[2014-04-30]}
SET [~ROWS] AS
{[Sales Order Attributes SO.Sales_order].[Sales Order ID].Members}
SELECT
NON EMPTY {[Measures].[CONT_AMT_GROSS], [Measures].[CONT_AMT_NET]} ON COLUMNS,
NON EMPTY [~ROWS] ON ROWS
FROM [SALES_ORDER]
WHERE [~FILTER]
As of now I have hard coded the dates, that will come from parameters.
I am facing difficulty in creating the second set and how to do subtraction between two sets in MDX.
You already have the logic on how to obtain sets of date corresponding to "last 30 days from now" and "last 60 to last 30 days from now". So, I am going to skip that part.
NOTE - You would have to use the parameter values while building these sets.
What you want to do here is first find the values corresponding to these sets of dates and then perform operations on them.
You can proceed like this -
WITH
SET [~FILTER] AS
{[Created_Date.Created_Hir].[Created_On].[2014-04-01]:[Created_Date.Created_Hir].[Created_On].[2014-04-30]}
SET [~ROWS] AS
{[Sales Order Attributes SO.Sales_order].[Sales Order ID].Members}
SET [Last30Days] AS
...
SET [Last60ToLast30Days] AS
...
MEMBER [~Last30Days - Now] AS
Aggregate
(
[Last30Days],
[Measures].[SomeMeasure]
)
MEMBER [~Last60Days - Last30Days] AS
Aggregate
(
[Last60ToLast30Days],
[Measures].[SomeMeasure]
)
MEMBER [~Measure] AS
([~Last30Days - Now]-[~Last60Days - Last30Days] )/([~Last60Days - Last30Days] * 100), format_string = '#,##0'
SELECT
NON EMPTY {
[Measures].[CONT_AMT_GROSS],
[Measures].[CONT_AMT_NET],
[~Measure]
} ON COLUMNS,
NON EMPTY [~ROWS] ON ROWS
FROM [SALES_ORDER]
Format_String takes care of rounding.
Not sure if I totally agree with Sourav's answer as I think some form of aggregation will be needed; creating tuples with sets in them may raise an exception.
Here is a simple model, against AdvWrks, that is tested and will do a subtraction for you:
WITH
SET [Set1] AS
[Date].[Calendar].[Date].&[20060301]
:
[Date].[Calendar].[Date].&[20070308]
SET [Set2] AS
[Date].[Calendar].[Date].&[20070308]
:
[Date].[Calendar].[Date].&[20080315]
MEMBER [Date].[Calendar].[All].[Set1Agg] AS
aggregate([Set1])
MEMBER [Date].[Calendar].[All].[Set2Agg] AS
aggregate([Set2])
MEMBER [Date].[Calendar].[All].[x] AS
(
[Date].[Calendar].[All].[Set1Agg]
,[Measures].[Internet Sales Amount]
)
MEMBER [Date].[Calendar].[All].[y] AS
(
[Date].[Calendar].[All].[Set2Agg]
,[Measures].[Internet Sales Amount]
)
MEMBER [Date].[Calendar].[All].[x-y] AS
[Date].[Calendar].[All].[x] - [Date].[Calendar].[All].[y]
SELECT
{
[Date].[Calendar].[All].[x]
,[Date].[Calendar].[All].[y]
,[Date].[Calendar].[All].[x-y]
} ON 0
,[Product].[Category].[Category] ON 1
FROM [Adventure Works];
Reflecting against your code maybe something like the following:
WITH
SET [Set1] AS
[Created_Date.Created_Hir].[Created_On].[2014-04-01]
:
[Created_Date.Created_Hir].[Created_On].[2014-04-30]
SET [Set2] AS
[Created_Date.Created_Hir].[Created_On].[2014-03-01]
:
[Created_Date.Created_Hir].[Created_On].[2014-03-31]
MEMBER [Created_Date.Created_Hir].[All].[Set1Agg] AS
Aggregate([Set1])
MEMBER [Created_Date.Created_Hir].[All].[Set2Agg] AS
Aggregate([Set2])
MEMBER [Measures].[~Last30Days - Now] AS
(
[Created_Date.Created_Hir].[All].[Set1Agg]
,[Measures].[SomeMeasure]
)
MEMBER [Measures].[~Last60Days - Last30Days] AS
(
[Created_Date.Created_Hir].[All].[Set2Agg]
,[Measures].[SomeMeasure]
)
MEMBER [Measures].[~Measure] AS
([Measures].[~Last30Days - Now] - [Measures].[~Last60Days - Last30Days])
/
[Measures].[~Last60Days - Last30Days]
* 100
,format_string = '#,##0'
SET [~ROWS] AS
{
[Sales Order Attributes SO.Sales_order].[Sales Order ID].MEMBERS
}
SELECT
NON EMPTY
{
[Measures].[CONT_AMT_GROSS]
,[Measures].[CONT_AMT_NET]
,[Measures].[~Measure]
} ON COLUMNS
,NON EMPTY
[~ROWS] ON ROWS
FROM [SALES_ORDER]
WHERE
[~FILTER];
i want values of dimension with like clause.. i tried this
WITH
SET CITY
AS
FILTER(
[CITY].[CITY].CHILDREN,
vbamdx!INSTR([CITY].[CITY].CURRENTMEMBER.Name,'In',1 >= 1 )
)
MEMBER [Measures].[Label] AS [CITY].[CITY].CURRENTMEMBER.MEMBER_CAPTION
SELECT {[Measures].[Label]
} ON COLUMNS ,
[CITY].[CITY].ALLMEMBERS ON ROWS
FROM [TEST_Cube]
want All Cities with name containing "In".
You're not using the filtered set you made.
Also, you're naming your set the same as the dimension which might give you trouble.
Try:
WITH
SET FilteredCities AS
FILTER
(
[CITY].[CITY].CHILDREN,
vbamdx!INSTR([CITY].[CITY].CURRENTMEMBER.Name,'In',1 >= 1 )
)
MEMBER [Measures].[Label] AS
[CITY].[CITY].CURRENTMEMBER.MEMBER_CAPTION
SELECT
{
[Measures].[Label]
}
ON COLUMNS ,
FilteredCities //Use the set
ON ROWS
FROM [TEST_Cube]