Aggregated Members And Attributes

May 29, 2008

Hi,

the query below (from Adventure Works) displays the sales amount for three products and a custom member "aggregation" which is the aggregate of these three products, and it cross joins with the attribute "colour".




Code Snippet

with member [Product].[Product Categories].[Subcategory].&[31].[aggregation] as 'AGGREGATE({ [Product].[Product Categories].[Product].&[214], [Product].[Product Categories].[Product].&[215], [Product].[Product Categories].[Product].&[220] })'



SELECT { [Date].[Calendar].[All Periods] } ON COLUMNS ,



NON EMPTY { { { [Product].[Product Categories].[Product].&[214], [Product].[Product Categories].[Product].&[215], [Product].[Product Categories].[Product].&[220],[Product].[Product Categories].[Subcategory].&[31].[aggregation] } * { [Product].[Color].[All Products].CHILDREN } } } ON ROWS



FROM [Adventure Works]



WHERE ( [Measures].[Reseller Sales Amount] )


Can someone please explain me why I'm getting this result:








All Periods

Sport-100 Helmet, Red
Red
39328.1586

Sport-100 Helmet, Black
Black
12098.0788

Sport-100 Helmet, Blue
Blue
13331.5816

aggregation
Black
64757.819

aggregation
Blue
64757.819

aggregation
Red
64757.819 (note that 64757.819 is the total of the three products)


instead of something like this:









All Periods

Sport-100 Helmet, Red
Red
39328.1586

Sport-100 Helmet, Black
Black
12098.0788

Sport-100 Helmet, Blue
Blue
13331.5816

aggregation
Black
12098.0788

aggregation
Blue
13331.5816

aggregation
Red
39328.1586

and also if anyone knows of a possible way of getting the second type of result?

please note that if I create a custom member that aggregates members of any other level of the Product Category hierarchy, the problem doesn't exist (see code and results below)




Code Snippet
WITH MEMBER [Product].[Product Categories].[Category].&[4].[Aggregation] as
'AGGREGATE({ [Product].[Product Categories].[Subcategory].&[31],
[Product].[Product Categories].[Subcategory].&[32] })'
SELECT { [Date].[Calendar].DEFAULTMEMBER } ON COLUMNS ,
NON EMPTY { { { [Product].[Product Categories].[Subcategory].&[31],
[Product].[Product Categories].[Subcategory].&[32],
[Product].[Product Categories].[Category].&[4].[Aggregation]} * { [Product].[Color].[All Products].CHILDREN } } } ON ROWS
FROM [Adventure Works]
WHERE ( [Measures].[Reseller Sales Amount] )














All Periods

Helmets
Black
87915.3689

Helmets
Blue
91052.8681

Helmets
Red
79744.6953

Hydration Packs
Silver
65518.7485

aggregation
Black
87915.3689

aggregation
Blue
91052.8681

aggregation
Red
79744.6953

aggregation
Silver
65518.7485

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Code Block

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Code Block

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Code Block

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Code Block

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WHERE disabled <> '1'


My assumption is that since there's a CLUSTERED INDEX it will simply iterate through every tuple and check to see if disabled is not '1'. If my assumption is correct then these kind of boolean fields aren't a big deal if TOP queries are performed on a CLUSTERED INDEX.

So I guess what I am getting at is: Are bit attributes a sign of bad design? As tables get larger will performance degrade significantly? Would a better design be to have a seperate table of disabled items (which may result in large NOT IN subqueries)?

Any information on his would be greatly appreciated.

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History Of Changing Attributes

May 14, 2008

I have a question about storing the history of particular objects in a database. For example, if I had a table of "People" which had fields "PersonId", "Name", "PhoneNumber", "Height", "Weight", "Proffession" the data in every field stored for each person can change over time, except for the "PersonId", of course, which is why it is included.

I would like to be able to view a persons attributes at any point in time and therefore need to maintain a history. The currenct approach in place is to archive images of the whole table at certain points in time, which is unacceptable as it misses some changes, is not very accessible and also stores data which does not change.

My solution would be to created seperate tables for each changing attribute and have corresponding date for each change. For example, for phone numbers have a table "PeoplePhoneNumbers" with fields "PersonId","PhoneNumber" and "ChangeDate". A few shortcomings I can see in this approach is that firstly there will be many tables, one for each changing attribute, which can be in far greater number than those mentioned. Secondly, joins will have to created between every attribute table to get the orignal single table form, although I don't see this as a very important issue.

I am wondering; is there a more elegent way to structure for objects of this changing nature, or is having seperate tables for each changing attribute the best solution? I'm sure this is a very common issue. Thanks very much for the help,

Mike

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Attributes Other Than Types In Columns

Apr 7, 2014

What are attributes in columns that are not types?

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Mar 3, 2008

We have an entity such as a documentSearchKey that contains attribtes about a particular document. This document can have 1-N number of search keys or attributes. The classic Employee Table is a good example for a horizontal listing of attributes (fname, lname, SS#, address, etc.) because the employee entity has a "fixed" number of attributes so we can add columns across.

For the documentSearchKey entity attributes can be considered search keys or where clause values.
The documentSearchKey entity has variable number of attributes (docType A has 5 keys, docType B has 15 keys, etc) For this example each docType lives inside its on table so there is not a problem with mixing a variable number attributes inside the same table i.e. we will assume this table has 20 keys vertical or 20 columns horizontal as defined below.

The problem is whether or not to add 20 columns across or to add 3 columns and create a non-normalized DB so additional keys can be added at will.

The proposed table now contains 3 columns (docID, KeyID, KeyValue). Of course, 10 keys for 1 million records create 10 million rows Versus the traditional table with 1 million records always has 1 million records(keys are cols) where some columns contain blanks or nulls.

Which design is better in terms of searching and performance?
Also, books and links are welcome as well. This is a specific question to a production issue.

Thank You Very Much !

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Aug 24, 2005

I apologize ahead of time for the long post...Background:Working on a CRM type custom application. The application is for anevent management company. The company will provide the application forother organizations to manage their own events. The events includeconferences, corp meetings, sales meetings, etc...An event planner will define what information is needed for an attendeeto register for an event. We will be providing a standard list ofattributes for the event planner to select from. This list includespersonal information (name, address, phone numbers), air travelinformation (preferred carriers, departure airports, etc...), hotelinformation, etc...we've included all of the information available tous from the business's previous experience. As far as the databasegoes, all of the standard information given to use will be normalized.The problem is each event may have unique information that needs to becollected that is not part of the standard list of attributes. Forexample, if McBurgers is planning an event, the event planner may wantto collect an attendee's McBurger employee code.Depending on the uniqueness of the event, there may be up to 200 uniqueattributes defined for it. This number comes from researching eventsplanned in the last 5 years. The number of attendees for an event rangefrom 100 to 10,000. The company expects about 3000 events per year.Database DesignI've done a fair amount of research and found a couple of options tomeet our requirements, more specifically the need for event planners todefine custom attributes for an event.1-)DynamicColumns:Add an Event specific custom attributes table. The table would looksomething like this:Event_McBurger05AttendeeID | McBurgerEmployeeCode | HiredDate | SomeOtherAttribute-Join Bytes! | AxEt356 | 01/01/2004 | Other val 22-)EAV:Add an EAV (entity, attribute, value) table. The table would looksomething like this:Event_AttributesEventCode | AttendeeID | Attribute | Value-McBurger05 | Join Bytes! | McBurgerEmployeeCode | AxEt356McBurger05 | Join Bytes! | HiredDate | 01/01/2004McBurger05 | Join Bytes! | SomeOtherAttribute | Other val 2The Value attribute would be a character (probably varchar) datatype.3-)Stronger Typed EAVHave an EAV table for each data type. The tables would look somethinglike this:Event_CharAttributesEventCode | AttendeeID | Attribute | CharValue-McBurger05 | Join Bytes! | McBurgerEmployeeCode | AxEt356McBurger05 | Join Bytes! | SomeOtherAttribute | Other val 2Event_DateAttributesEventCode | AttendeeID | Attribute | CharValue-McBurger05 | Join Bytes! | HiredDate | 01/01/2004There would be one Event_[DataType]Attribute table for each of thedatatypes allowed.Pros/Cons1-)DynamicColumnsPros:-Data integrity can be enforced-Simpler queries for reporting-Clearer data model for understanding data storedCons:-Row size limitation of 8k must be managed (probably need to addanother table if run out of room.-Stored procedures for CRUD operations would need to dynamicallycreated ORNeed to use dynamic SQL on the database or application.-Adding/Removing columns on the fly can be very error prone2-)EAVPros-Static CRUD stored procsCons-No data integrity-Complex queries for reporting-Worse performance than option 1.-Table can get BIG...fast.3-)Stronger Typed EAVPros-Static CRUD stored procs-Better data type integrity than EAVCons-Complex queries for reporting-Worse performance than option 1-Table can get BIG...fast.If you are still reading this...thank you!The Questions:-Are there other options other than the 3 described above? Or are thesepretty much it with slight variants.-Does anyone see any missing Pros/Cons for any of the options thatshould be considered?-Is there a "preferred" method for what I am trying to do?I suspect this will come down to the lesser of three devils. Justtrying to figure out which of the three it is.We have prototyped the three options and are leaning towards option 1and 3.Any comments/suggestions are appreciated.Thx

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Dec 6, 2006

Hi, all here,

Thank you very much for your kind attention.

I am having a question about Microsoft Clustering algorithm here. When we train the clustering model, we gain the clusters based on the model training. So what are the relationship among all attributes within each cluster? When we sumarize the characteristics for each cluster, for example, based on criteria attribute A=X, we got the darker cluster for this criteria, along with this characteristics (A=X), we also got other characteristics, so what is the exact relationship among all these chracteristics? It seemed they dont have any relationship to each other at all? (A=X dose not mean most likely B=Y if A=X?, what it means only is within this cluster, most likely A=X and B=Y etc. and A=X has the largest population within this cluster). I therefore cant see these chracteristics really interested.

Looking forward to any guidance and advices for that.

With best regards,

Yours sincerely,

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Aug 23, 2006

Is there a way to change the password or encryption settings with SQL or do I need to use Compact from code to do so?

I'm trying to work around the issue that USE does not accept a password.

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Nov 28, 2007

hi
i have a problem
i am writing a stored procedure which contains "EXECUTE" statment which excutes the query and retrieves the attributes what i want.
by using that procedure it is working fine and i am able to get the result

but i am not able to build the report why because this dataset not listing the attributes.


my procedure is like this :
--------------------------------------------
USE [HOST_BPM_COVLTCP]
GO

SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO


ALTER PROC [dbo].[PB_Report_GetProjectAttributes]
@intProjectId INT
AS
BEGIN

DECLARE @STR_ATTRIBUTES VARCHAR(8000), @SRC_ATTRIBUTE_COLUMNS VARCHAR(8000), @SRC_ATRIBUTE_NAMES VARCHAR(8000)

SELECT
@STR_ATTRIBUTES = COALESCE(@STR_ATTRIBUTES + ',', '') + 'dbo.FindAndReplace(MAX(CASE WHEN ATTRIBUTE_ID = ' + CONVERT(VARCHAR, IDX) + ' THEN ISNULL(ATTRIBUTE_VALUE, '''') ELSE '''' END)) [' + CONVERT(VARCHAR, LABEL) + ']',
@SRC_ATTRIBUTE_COLUMNS = COALESCE(@SRC_ATTRIBUTE_COLUMNS + ',', '') + 'SRC.[' + CONVERT(VARCHAR, LABEL) + ']',
CONVERT(VARCHAR, IDX)
@SRC_ATRIBUTE_NAMES = COALESCE(@SRC_ATRIBUTE_NAMES + ',', '') + '''' + LABEL + ''' ATTR_' + CONVERT(VARCHAR, IDX)
FROM
PB_ATTRIBUTE

SELECT
@SRC_ATTRIBUTE_COLUMNS = (CASE WHEN @SRC_ATTRIBUTE_COLUMNS IS NULL THEN '' ELSE ',' + @SRC_ATTRIBUTE_COLUMNS END),
@STR_ATTRIBUTES = ISNULL(@STR_ATTRIBUTES, ''''' DUMMY_COL'),
@SRC_ATRIBUTE_NAMES = ISNULL(@SRC_ATRIBUTE_NAMES, ' '''' WHERE 1 <> 1')

EXEC
(
'
SELECT
DP.IDX PROJECT_ID, dbo.FindAndReplace(DP.CODE) [Project Code], dbo.FindAndReplace(DP.NAME) [Project Name], dbo.FindAndReplace(DP.LABEL) [Project] ' + @SRC_ATTRIBUTE_COLUMNS + ',
ISNULL(DP.CREATED_BY,'''') AS CREATED_BY, ISNULL(DP.MODIFIED_BY,'''') AS MODIFIED_BY,
DP.CREATED_DATE, DP.MODIFIED_DATE
FROM
DIM_PROJECT DP,
(
SELECT
' + @STR_ATTRIBUTES + ', PROJECT_ID
FROM
PB_PROJECT_ATTRIBUTE_VALUE
WHERE
PROJECT_ID = ' + @intProjectId + '
GROUP BY
PROJECT_ID
) SRC
WHERE
DP.IDX = ' + @intProjectId + ' AND
DP.IDX *= SRC.PROJECT_ID
ORDER BY DP.LABEL
'
)
----------
actually this procedure should result the following attributes

PROJECT_ID,
[Project Code],
[Project Name],
[Project],
[Nature of Change],
[Department Priority #],
[Project Start Date],
[Project End Date],
[Project Status],
[Project Justification],
[Project Request Sub-Type],
[Project Request Type],
[Project Request 2nd Sub-Type],
[Requesting Department],
[Capital Fund Number],


but i am not getting the attribute list in the dataset

anyone help me out

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