I have 3 tables - Folders, Documents & Versions
FolderID
Folder Name
1
Folder 1
2
Folder 2
3
Folder 3
Documents looks like this:
DocID
Doc Name
FolderID
1000
Doc 1
1
1001
Doc 2
1
1002
Doc 3
2
1003
Doc 4
2
1004
Doc 5
3
Versions looks like this:
VersionID
DocID
1
1000
2
1001
3
1001
4
1002
5
1003
6
1003
7
1004
So Doc 1, 3 & 5 have 1 version each, and Doc 2 & 4 have 2 versions.
I would like to count the documents that have more than 1 version. In this example Folder 1 & 2 both have 1 document with more than 1 version, and Folder 3 has none.
I'd like some DAX that will accomplish that. I'm managing to confuse myself because the filter is based on a count of a related table.
This is what I came up with, but I know I'm off
Count Docs =
VAR VersionsMin = 2
RETURN
CALCULATE (
COUNT ( 'Documents'[DocID] ),
FILTER ( 'Versions', COUNT ( 'Versions'[VersionID] ) >= VersionsMin )
)
Try this out:
In the first step add a new column to your Documents table
Version Count =
COUNTROWS(RELATEDTABLE(Versions))
In the second step you can use this column for filtering
Docs with multiple versions =
CALCULATE(
COUNT(Documents[DocID]),
Documents[Version Count] > 1
)
This allows you to create the following table visual:
Related
I have a table with 2 columns (DateKey and StoreCode) and I want to calculate age of each store in each day(AgeOfStore) using DAX. Actually I want to know how many days each store have worked?
For example, in 20210101, Store 1001 did its first work day and then this store in 20210102 did its second day,...
DateKey
StoreCode
AgeOfStore
20210101
1001
1
20210101
1002
1
20210102
1001
2
20210102
1002
2
20210102
1003
1
20210103
1001
3
20210103
1002
3
20210103
1003
2
20210104
1001
4
20210104
1002
4
20210104
1003
3
Thank you in advance.
DAX Measure
AgeOfStore =
RANKX (
FILTER(ALL(tbl),tbl[StoreCode]=max(tbl[StoreCode])),
CALCULATE ( MAX ( 'tbl'[DateKey] ) ),
,
ASC
)
I've got an inventory transactions table :
Product
Date
Direction
Quantity
A
Date 1
IN
3
B
Date 2
IN
55.7
A
Date 3
OUT
1
B
Date 3
OUT
8
B
Date 3
IN
2
I can easily get the stock for any date with the following query :
SELECT Product,
SUM(CASE Direction WHEN 'IN' THEN Quantity ELSE -1 * Quantity END)
FROM Transactions
WHERE Date <= '#DateValue#'
GROUP BY Product;
Now my purpose is to get stocks aged like this using the FIFO principle :
Product
Total stock
0-30 days
31-60 days
61-90 days
91+ days
A
3
3
0
0
0
B
34.2
10
14.2
7
3
C
25
20
3
1
1
D
10
2
8
0
0
E
1
0
0
1
0
I am using SQL Server 2016 & SSMS 18.
The solution should be fast as it will be working against a table with 3,000,000+ rows.
A single query is preferred since it will be integrated into an ERP system.
I have yet to find a solution based on a single query after weeks of research. Any help is appreciated. Thanks in advance.
I have a table that contains one or more records for each item. Each item can contain multiple sub-items (boards) and so the Itemid is often replicated with each record showing the division category (a number) that the Item/sub-item combo resides in:
ItemId Board# Division
142585109 0 6
142585114 0 3
142585116 0 1
142585120 0 4
142585197 0 5
142585197 2 4
142585197 3 3
142585197 5 6
142585197 8 1
142585294 0 4
142585317 0 1
I want to update the table and aggregate all of the division values (as a comma separated string) in a new field in this table, something like:
ItemId Board# AggDivisions
142585109 0 6
142585114 0 3
142585116 0 1
142585120 0 4
142585197 0 1,3,4,5,6
142585294 0 4
142585317 0 1
I used a ListAgg query to do the aggregation which works correctly but when I tried to incorporate this into an update query, I end up with multiple duplicates in the aggregated field for each record.
Here is my update attempt:
update itemtable dd
set aggregateddivisions = (SELECT Listagg(division, ',') within GROUP (ORDER BY division)
FROM itemtable ev
WHERE ev.itemid = dd.itemid
)
where exists (select 1
from itemtable ev
where ev.itemid = dd.itemid
);
How can I update the table with the aggregated list of values from the same table without ending up with duplicates?
Data:
ID PARENT_ID
1 [null]
2 1
3 1
4 2
Desired result:
ID CHILD_AT_ANY_LEVEL
1 2
1 3
1 4
2 4
I've tried SYS_CONNECT_BY_PATH, but I don't understand how to convert it result into "inline view" which I can use for JOIN with main table.
select connect_by_root(id) id, id child_at_any_level
from table
where level <> 1
connect by prior id = parent_id;
I am a beginner for Spotfire. I have a problem about the difference calculation for the some column value. A sample table could be like this:
id timestamp state
1 7/1/2016 12:00:01 AM 1
2 7/1/2016 12:00:03 AM 0
3 7/1/2016 12:00:04 AM 1
4 7/1/2016 12:00:06 AM 0
5 7/1/2016 12:00:09 AM 1
6 7/1/2016 12:00:10 AM 0
7 7/1/2016 12:00:12 AM 1
I want to calculate the time difference for the timestamp when the state is 1,
the final table I want to have is:
id timestamp state time_diffence
3 7/1/2016 12:00:04 AM 1 3
5 7/1/2016 12:00:09 AM 1 5
7 7/1/2016 12:00:12 AM 1 3
it seems that I should identify an expression for the calculation, but I have not idea for the calculation just for one parameter :(. somebody could help me ?
still one more small question: what if the timestamp column value is just number value, how can i calculate the difference, is there any related function like DateDiff() here? for example:
id times state
1 12 1
2 7 0
3 10 1
4 11 0
5 6 1
6 9 0
7 7 1
the result could be :
id times state diffence
3 10 1 -2
5 6 1 -4
7 7 1 1
after running the code: i have the error as below:
for the row if it has the same time stamp as the last previous row, the difference will keep same as before, but actually the difference for the rows which have same time stamp would be as 0
thanks for your help :)
Assuming your data is sorted in ascending order by [timestamp] before you import it, you can partition using the Previous function with Over where the [state]=1.
Insert a calculated column with this expression:
If([state]=1,DateDiff("ss",Min([timestamp]) OVER (Previous([timestamp])),[timestamp]))
You will see it populated in your table like the below:
Then if you ONLY want to see the rows that have the difference you mentioned, on your table you can...
Right Click > Properties > Data > Limit data using expression >
And insert the expression: [time_difference] > 1
This will result in this table: