I am stuck on something, which I have never used in my 10 years of SQL. I thought it would be useful if there was someway of doing this. Firstly I am running SQL Server Express (latest free version) on Windows. To talk to the database I am using SSMS.
There are three tables/queries.
1 table (A) has one data value I want to pull through.
2 tables (B)/(C) have multiple values.
Column common to all tables is CAMPAIGN NAME
Column common to (B)/(C) is PRODUCT NAME
This is an example of the data:
OUTPUT GOAL
I have tried the following:
UNION ALL (but this does not assist when I want to calculate AMOUNT - MARKETING - TOTAL INVESTMENT
I tried PARTITION (but I simple could now get it to work.
If I use joins, it brings through a head count / total investment and marketing cost per product, which when using SUM brings through the incorrect values for head count / total investment and marketing cost vs total amount, quantity.
I tried splitting the costs based on Quantity / Total Quantity or Amount / Total Amount, but the cost associated with the product is not correct or directly relating to the product this way.
Am I trying to do something impossible, or is there a way to do this in SQL?
The following comes pretty close to what you want:
select . . . -- select the columns you want here
from a join
b
on b.campaign_name = a.campaign_name join
c
on c.campaign_name = b.campaign_name and
c.product_name = b.product_name;
This produces a result set with a separate row for each campaign/product.
What I am trying to do is fairly simple. I just want to add a row number to a query. Since this is in Access is a bit more difficult than other SQL, but under normal circumstances is still doable using solutions such as DCount or Select Count(*), example here: How to show row number in Access query like ROW_NUMBER in SQL or Access SQL how to make an increment in SELECT query
My Issue
My issue is I'm trying to add this counter to a multi-join query that orders by fields from numerous tables.
Troubleshooting
My code is a bit ridiculous (19 fields, seven of which are long expressions, from 9 different joined tables, and ordered by fields from 5 of those tables). To make things simple, I have an simplified example query below:
Example Query
SELECT DCount("*","Requests_T","[Requests_T].[RequestID]<=" & [Requests_T].[RequestID]) AS counter, Requests_T.RequestHardDeadline AS Deadline, Requests_T.RequestOverridePriority AS Priority, Requests_T.RequestUserGroup AS [User Group], Requests_T.RequestNbrUsers AS [Nbr of Users], Requests_T.RequestSubmissionDate AS [Submitted on], Requests_T.RequestID
FROM (((((((Requests_T
INNER JOIN ENUM_UserGroups_T ON ENUM_UserGroups_T.UserGroups = Requests_T.RequestUserGroup)
INNER JOIN ENUM_RequestNbrUsers_T ON ENUM_RequestNbrUsers_T.NbrUsers = Requests_T.RequestNbrUsers)
INNER JOIN ENUM_RequestPriority_T ON ENUM_RequestPriority_T.Priority = Requests_T.RequestOverridePriority)
ORDER BY Requests_T.RequestHardDeadline, ENUM_RequestPriority_T.DisplayOrder DESC , ENUM_UserGroups_T.DisplayOrder, ENUM_RequestNbrUsers_T.DisplayOrder DESC , Requests_T.RequestSubmissionDate;
If the code above is trying to select a field from a table not included, I apologize - just trust the field comes from somewhere (lol i.e. one of the other joins I excluded to simply the query). A great example of this is the .DisplayOrder fields used in the ORDER BY expression. These are fields from a table that simply determines the "priority" of an enum. Example: Requests_T.RequestOverridePriority displays to the user as an combobox option of "Low", "Med", "High". So in a table, I assign a numerical priority to these of "1", "2", and "3" to these options, respectively. Thus when ENUM_RequestPriority_T.DisplayOrder DESC is called in order by, all "High" priority requests will display above "Medium" and "Low". Same holds true for ENUM_UserGroups_T.DisplayOrder and ENUM_RequestNbrUsers_T.DisplayOrder.
I'd also prefer to NOT use DCOUNT due to efficiency, and rather do something like:
select count(*) from Requests_T where Requests_T.RequestID>=RequestID) as counter
Due to the "Order By" expression however, my 'counter' doesn't actually count my resulting rows sequentially since both of my examples are tied to the RequestID.
Example Results
Based on my actual query results, I've made an example result of the query above.
Counter Deadline Priority User_Group Nbr_of_Users Submitted_on RequestID
5 12/01/2016 High IT 2-4 01/01/2016 5
7 01/01/2017 Low IT 2-4 05/06/2016 8
10 Med IT 2-4 07/13/2016 11
15 Low IT 10+ 01/01/2016 16
8 Low IT 2-4 01/01/2016 9
2 Low IT 2-4 05/05/2016 2
The query is displaying my results in the proper order (those with the nearest deadline at the top, then those with the highest priority, then user group, then # of users, and finally, if all else is equal, it is sorted by submission date). However, my "Counter" values are completely wrong! The counter field should simply intriment +1 for each new row. Thus if displaying a single request on a form for a user, I could say
"You are number: Counter [associated to RequestID] in the
development queue."
Meanwhile my results:
Aren't sequential (notice the first four display sequentially, but then the final two rows don't)! Even though the final two rows are lower in priority than the records above them, they ended up with a lower Counter value simply because they had the lower RequestID.
They don't start at "1" and increment +1 for each new record.
Ideal Results
Thus my ideal result from above would be:
Counter Deadline Priority User_Group Nbr_of_Users Submitted_on RequestID
1 12/01/2016 High IT 2-4 01/01/2016 5
2 01/01/2017 Low IT 2-4 05/06/2016 8
3 Med IT 2-4 07/13/2016 11
4 Low IT 10+ 01/01/2016 16
5 Low IT 2-4 01/01/2016 9
6 Low IT 2-4 05/05/2016 2
I'm spoiled by PLSQL and other software where this would be automatic lol. This is driving me crazy! Any help would be greatly appreciated.
FYI - I'd prefer an SQL option over VBA if possible. VBA is very much welcomed and will definitely get an up vote and my huge thanks if it works, but I'd like to mark an SQL option as the answer.
Unfortuantely, MS Access doesn't have the very useful ROW_NUMBER() function like other clients do. So we are left to improvise.
Because your query is so complicated and MS Access does not support common table expressions, I recommend you follow a two step process. First, name that query you already wrote IntermediateQuery. Then, write a second query called FinalQuery that does the following:
SELECT i1.field_primarykey, i1.field2, ... , i1.field_x,
(SELECT field_primarykey FROM IntermediateQuery i2
WHERE t2.field_primarykey <= t1.field_primarykey) AS Counter
FROM IntermediateQuery i1
ORDER BY Counter
The unfortunate side effect of this is the more data your table returns, the longer it will take for the inline subquery to calculate. However, this is the only way you'll get your row numbers. It does depend on having a primary key in the table. In this particular case, it doesn't have to be an explicitly defined primary key, it just needs to be a field or combination of fields that is completely unique for each record.
I want the equivalent SUM and Group By as in t-SQL. But I haven't found the answer on the web.
My MDX return has some records that have the same name. I want to show the distinct name with the measure summed up just like Group by feature in SQL.
It seems like it's a common feature. Thanks.
When you define a measure in AS you can set it several different ways including count and sum.
Let's assume you have a product dimension and a fact of sales. A simple query to get the total sales by product would look like the following.
SELECT {[Measures].[ItemCount], [Measures].[SalesDollars]} ON 0,
[Products].[Products].children ON 1
FROM [CUBE]
This would give you sample output like
Product Item Count Sales Dollars
Bike 10 1000
Tire 3 650
Anyone have advice on how to build an average measure that is dynamic -- it doesn't specify a particular slice but instead uses your current view? I'm working within a front-end OLAP viewer (Strategy Companion) and I need a "dynamic" implementation based on the dimensions that are currently filtered in the data view.
My fact table looks something like this:
Key AmountA IndicatorA AmountB Other Data
1 5 1 null 25
2 6 1 null 52
3 7 1 2 106
4 null 0 4 108
Now I can specify a simple average for "[Measures].[AmountA]" with "[Measures].[AmountA] / [Measures].[IndicatorA]" which works great - "[IndicatorA]" sums up to the number of non-null values of "[AmountA]". And this also works great no matter what dimensions are selected in the view - it always divides by the count of rows that have been filtered in.
But what about [AmountB]? I don't have a null indicator column. I want to get an average value of [AmountB] for whatever rows have been filtered in for my current view. If I try to use the count of rows as a simple formula (psuedo-code "[Measures].[AmountB] / Count([Measures].[Key])") I get the wrong result, because it is counting all the null rows in the average.
So, I need a way to use the AVG function to specify the average of [AmountB] over the set of "whatever rows I'm currently filtering in, based on whatever dimensions I'm currently using". How do I specify this dynamic set?
I've tried several different uses of the AVG function and they have either returned null or summed up to huge numbers, clearly not the average I'm looking for.
Thanks-
Matt
Sorry, my first suggestion was wrong. If you don't have access to OLAP cube you can't write any mdx-query for this purpose (IMHO). Because, you don't have any detailed data (from your fact table) in this access level and you can use only aggregated data and dimensions from your cube.
Otherwise (if you have access to olap db), you can create this metric (count of not NULL rows) in your measure group and after that use it for AVG calculation (as calculated member in your cube or in section "WITH" in your mdx-query).
I have the following fact table:
response_history_id client_id question_id answer
1 1 2 24
2 1 2 27
3 1 3 12
4 1 2 43
5 2 2 39
It holds history of client answers to some questions. The largest response_history_id for each client_id,question_id combination is the latest answer for that question and client.
What I want to do is to count the number of clients whose latest answer falls within a specific range
I have some dimensions:
question associated with question_id
client associated with client_id
response_history_id associated with response_history_id
range associated with answer. 0-20 low, 20-40 = medium, >40 is high
and some measures:
max_history_id as max(response_history_id)
clients_count as disticnt count(client_id)
Now, I want to group only the latest answers by range:
select
[ranges].members on 0,
{[Measures].[clients_count]} on 1
from (select [question].[All].[2] on 1 from [Cube])
What I get is:
Measures All low medium high
clients_count 2 0 2 1
But what I wanted (and I can't get) is the calculation based on the latest answer:
Measures All low medium high
clients_count 2 0 1 1
I understand why my query doesn't give me the desired result, it's more for demonstration purpose. But I have tried a lot of more complex MDX queries and still couldn't get any good result.
Also, I can't generate a static view from my fact table because later on I would like to limit the search by another column in fact table which is timestamp, my queries must eventually be able to get _the number of clients whose latest answer to a question before a given timestamp falls within a specific range.
Can anyone help me with this please?
I can define other dimensions and measures and I am using iccube.