Here's an MDX query which runs against Adventureworks.
SELECT NON EMPTY {[Measures].[Internet Order Count], [Measures].[Average Unit Price]} ON COLUMNS,
NON EMPTY([Product].[Status].[Status] ,[Customer].[Country].[Country]) ON ROWS
FROM [Adventure Works]
WHERE {[Customer].[Education].&[Bachelors],[Customer].[Education].&[High School]}
The interesting thing here is the where clause.
If I execute this and get a CellSet back, it contains different metadata depending on the Where clause.
If the where clause has a single element (take out high school, leave in bachelors for example) You end up with a slicer.
If you run it as above you don't. And worse, I can't find anywhere in the cellset which indicates a where clause was applied.
Does anyone have any idea?
Related
I want alert when i am fetching two different item in the oracle query
basically i want to check what ever i am searching it should from one policy when every i any getting two different policy i should get alert or some remark in another query that more then one item got fetch
for example
when i am fetching the data from oracle using the query i want the single item in the column and if i get multiple item i should get the alert
select * from table policy_id in ('100')
By asking, "when do I get 2 different items", or "when I have two distinct values" for a given key, you must aggregate rows in order to compute an aggregate value. COUNT, SUM, MIN, MAX, AVG, STDDEV, etc... are all aggregate functions that operate on multiple rows. But for them to operate on multiple rows, you must raise the granularity of your data to a higher level, or what we call "group by". Group by the key column(s) and aggregate across your fact columns to summarize those facts within those groups.
In your case, group by the columns for which you want to see unique values in separate rows. Then count how many rows were included in each group by using the COUNT(*) function. You may then wrap the output of that in a CASE or DECODE to conditionally test that output and return something different based on that output. In my example, test for 1, otherwise if more than one, you have multiple rows sharing the same key values. DECODE arguments are (test value, comparison value, result-if-true, result-if-false). So below will show "multiple policies" if there are 2 or more rows with the same policy,claim, req values, and NULL/empty if there are not.
SELECT policy,claim,req,DECODE(COUNT(*),1,NULL,'multiple policies') alert
FROM table
WHERE policyid = 100
GROUP BY policy,claim,req
I am trying to get a total summation of both the ItemDetail.Quantity column and ItemDetail.NetPrice column. For sake of example, let's say the quantity that is listed is for each individual item is 5, 2, and 4 respectively. I am wondering if there is a way to display quantity as 11 for one single ItemGroup.ItemGroupName
The query I am using is listed below
select Location.LocationName, ItemDetail.DOB, SUM (ItemDetail.Quantity) as "Quantity",
ItemGroup.ItemGroupName, SUM (ItemDetail.NetPrice)
from ItemDetail
Join ItemGroupMember
on ItemDetail.ItemID = ItemGroupMember.ItemID
Join ItemGroup
on ItemGroupMember.ItemGroupID = ItemGroup.ItemGroupID
Join Location
on ItemDetail.LocationID = Location.LocationID
Inner Join Item
on ItemDetail.ItemID = Item.ItemID
where ItemGroup.ItemGroupID = '78' and DOB = '11/20/2019'
GROUP BY Location.LocationName, ItemDetail.DOB, Item.ItemName,
ItemDetail.NetPrice, ItemGroup.ItemGroupName
If you are using SQL Server 2012 , you can use the summation on partition to display the
details and aggregates in the same query.
SUM(SalesYTD) OVER (ORDER BY DATEPART(yy,ModifiedDate)),1)
Link :
https://learn.microsoft.com/en-us/sql/t-sql/functions/sum-transact-sql?view=sql-server-ver15
We can't be certain without seeing sample data. But I suspect you need to remove some fields from you GROUP BY clause -- probably Item.ItemName and ItemDetail.NetPrice.
Generally, you won't GROUP BY a column that you are applying an aggregate function to in the SELECT -- as in SUM(ItemDetail.NetPrice). And it is not very common, in my experience, to GROUP BY columns that aren't included in the SELECT list - as you are doing with Item.ItemName.
I think you need to go back to basics and read about what GROUP BY does.
First of all welcome to the overflow...
Second: The answer is going to be "It depends"
Any time you aggregate data you will need to Group by the other fields in the query, and you have that in the query. The gotcha is what happens when data is spread across multiple locations.
My suggestion is to rethink your problem and see if you really need these other fields in the query. This will depend on what the person using the data really wants to know.
Do they need to know how many of item X there are, or do they really need to know that item X is spread out over three sites?
You might find you are better off with two smaller queries.
I am unable to figure out how to write 'smart code' for this.
In this case I would like the end result for the first two case to be:
product_cat_name
A_SEE
A_BEE
Business is rule is such that one product_cat_name can belong to only one group but due to data quality issues we sometimes have a product_cat_name belonging to 2 different groups. As a special case in such a situation we would like to append group to the product_cat_name so that product_cat_name becomes unique.
It sounds so simple yet I am cracking my head over this.
Any help much appreciated.
Something like this:
with names as (
select prod_cat_nm , prod_cat_nm+group as new_nm from (query that joins 3 tables together) as qry
join
(Select prod_cat_nm, count(distinct group)
from (query that joins 3 tables together) as x
group by
prod_cat_nm
having count(distinct group) > 1) dups
on dups.prod_cat_nm = qry.prod_cat_nm
)
SELECT prod_cat_nm, STRING_AGG(New_nm, '') WITHIN GROUP (ORDER BY New_Nm ASC) AS new_prod_cat_nm
FROM names
GROUP BY prod_cat_nm;
I've used the 2017 STRING_AGG() here as its shortest to write - But you could easily change this to use Recursions or XML path
It is simple if you break it down into small pieces.
You need to UPDATE the table obviously, and change the value of product_cat_name. That's easy.
The new value should be group + product_cat_name. That's easy.
You only want to do this when a product_cat_name is associated with more than one group. That's probably the tricky part, but it can also be broken down into small pieces that are easy.
You need to identify which product_cat_names have more than one group. That's easy. GROUP BY product_cat_name HAVING COUNT(DISTINCT Group) > 1.
Now you need to use that to limit your UPDATE to only those product_cat_names. That's easy. WHERE product_cat_name IN (Subquery using above logic to get PCNs that have more than one Group).
All easy steps. Put them together and you've got your solution.
The Problem
I'm building an SSRS report which requires regular group headings on certain rows. The data returned from the database query includes a column with a bit flag indicating which rows need to be treated as group subheadings.
Here's a snippet of the source data:
Note the IsGroupHeading column, where the flag is set to 1 on the first row ("0401").
I want to produce output which looks like this Excel mockup:
So every time the report encounters a row where IsGroupHeading equals 1, it generates a bold group heading row followed by a row with column headings.
What's Happening
I've tried creating a row group in SSRS with the expression =Fields!IsGroupHeading.Value = 1 but I get unexpected results: (1) Only the first group heading is treated specially, and (2) the group heading row is repeated underneath the heading. The result looks like this:
Notice that the "0401" row is repeated under the group heading. In addition, only the first group heading ever gets this special treatment. The report simply ignores subsequent group headings and renders them as normal data rows.
The Question
I've spent hours trying to get this right and this is the closest I've been able to get it and my googling on row groups turns up pages mostly about creating subtotals, so I'm throwing this one out to the community hoping some SSRS experts can help me with this.
I'm going to assume that you're doing this in SQL and that all tariff numbers start with the group header tariff number (in this case, 0401).
Let's say your SQL currently looks like this:
SELECT TariffNumber, RowDescription, TariffRate, IsGroupHeading
FROM Tariffs
What we want to do is join this table on itself to give the group TariffNumber and RowDescription columns on each row to enable us to group on it. We also want to exclude the GroupHeader Tariff from the Details rows. So we get something like this:
SELECT TariffGroup.TariffNumber AS GroupNumber, TariffGroup.RowDescription AS GroupDescription,
TariffDetail.TariffNumber, TariffDetail.RowDescription, TariffDetail.TariffRate
FROM Tariffs AS TariffDetail
INNER JOIN Tariffs AS TariffGroup ON TariffGroup.TariffNumber = Left(TariffDetail.TariffNumber, CharIndex(TariffDetail.TariffNumber, '.')-1) AND TariffDetail.IsGroupHeader = 0
Now you just need to group on GroupNumber and you're done.
from some reasons I need to insert an artificial(dummy) column into a mdx expression. (the reason is that i need to obtain a query with specific number of columns )
to ilustrate, this is my sample query:
SELECT {[Measures].[AFR],[Measures].[IB],[Measures].[IC All],[Measures].[IC_without_material],[Measures].[Nonconformance_PO],[Measures].[Nonconformance_GPT],[Measures].[PM_GPT_Weighted_Targets],[Measures].[PM_PO_Weighted_Targets], [Measures].[AVG_LC_Costs],[Measures].[AVG_MC_Costs]} ON COLUMNS,
([dim_ProductModel].[PLA].&[SME])
* ORDER( {([dim_ProductModel].[Warranty Group].children)} , ([Measures].[Nonconformance_GPT],[Dim_Date].[Date Full].&[2014-01-01]) ,desc)
* ([dim_ProductModel].[PLA Text].members - [dim_ProductModel].[PLA Text].[All])
* {[Dim_Date].[Date Full].&[2013-01-01]:[Dim_Date].[Date Full].&[2014-01-01]} ON ROWS
FROM [cub_dashboard_spares]
it is not very important, just some measures and crossjoined dimensions. Now I would need to add f.e. 2 extra columns, I don't care whether this would be a measure with null/0 values or another crossjoined dimension. Can I do this in some easy way without inserting any data into my cube?
In sql I can just write Select 0 or select "dummy1", but here it is not possible neither in ON ROWS nor in ON COLUMNS part of the query.
Thank you very much for your help,
Regards,
Peter
ps: so far I could just insert some measure more times, but I am interested whether there is a possibility to insert really "dummy" column
Your query just has the measures dimension on columns. The easiest way to extend it by some columns would be to repeat the last measure as many times that you get the correct number of columns.
Another possibility, which may be more efficient in case the last measure is complex to calculate would be to use
WITH member Measures.dummy as NULL
SELECT {[Measures].[AFR],[Measures].[IB],[Measures].[IC All],[Measures].[IC_without_material],[Measures].[Nonconformance_PO],[Measures].[Nonconformance_GPT],[Measures].[PM_GPT_Weighted_Targets],[Measures].[PM_PO_Weighted_Targets], [Measures].[AVG_LC_Costs],[Measures].[AVG_MC_Costs],
Measures.dummy, Measures.dummy, Measures.dummy
}
ON COLUMNS,
([dim_ProductModel].[PLA].&[SME])
* ORDER( {([dim_ProductModel].[Warranty Group].children)} , ([Measures].[Nonconformance_GPT],[Dim_Date].[Date Full].&[2014-01-01]) ,desc)
* ([dim_ProductModel].[PLA Text].members - [dim_ProductModel].[PLA Text].[All])
* {[Dim_Date].[Date Full].&[2013-01-01]:[Dim_Date].[Date Full].&[2014-01-01]}
ON ROWS
FROM [cub_dashboard_spares]
i. e. adding a dummy measure that should not need much computation as many times as you need it to the end of the columns.