I have a view with Columns:
WeekNo, MerchantId, Transactions
With a Select Query let's say that we have the following results:
TrnWeek AgencyId WeeklyTrn
1 110008 1
2 110008 2
3 110008 2
1 110045 4
3 110065 4
3 110124 1
1 110153 1
1 110155 3
2 110163 1
2 110165 1
making a pivot (stored procedure which creates dynamically the columns) i get the TrnWeek as Columns and as a result the following:
[1] [2] [3]
1 1 1
1 0 0
1 0 0
1 0 0
0 1 1
0 1 0
0 0 1
what I want to get is a "matrix" as follows:
TrnWeek 1 2 3
1 4 1 1
2 0 2 1
3 0 0 1
ih which i calculate how many merchants performed a transaction in the first week (position: 1,1), how many of them performed a transaction in the second one (position: 1,2), how many performed their first transaction in 2nd week (position: 2,2) etc.
Related
I have table with data needs to unpivot and get aggregated counts.
Source table:
primary_id sys_1 sys_2 sys3_ sy5 sys100
newa889 0 1 0 1 0
den7899 1 1 1 1 0
geo8988 1 1 1 1 0
atla8766 0 1 0 1 1
chic7898 0 1 0 0 1
Desired output:
sys_name count(primary_key) flag_0_or_1
sys_1 129999 0
sys_1 544545 1
sys_2 23333 0
sys2 23322323 1
sys3_ 332233 0
sys3_ 323232 1
sy5 32332 0
sy5 32323 1
Looking to get the data transpose get 0's and 1's counts from each sys_ column.
For each row, I need to calculate the integer part from dividing by 4. For each subsequent row, we add the remainder of the division by 4 previous and current lines and look at the whole part and the remainders from dividing by 4. Consider the example below:
id val
1 22
2 1
3 1
4 2
5 1
6 6
7 1
After dividing by 4, we look at the whole part and the remainders. For each id we add up the accumulated points until they are divided by 4:
id val wh1 rem1 wh2 rem2 RESULT(wh1+wh2)
1 22 5 2 0 2 5
2 1 0 1 (3/4=0) 3%4=3 0
3 1 0 1 (4/4=1) 4%4=0 1
4 2 0 2 (2/4=0) 2%4=2 0
5 1 0 1 (3/4=0) 3%4=3 0
6 7 1 2 (5/4=1) 5%4=1 2
7 1 0 1 (2/4=0) 2%4=1 0
How can I get the next RESULT column with sql?
Data of project:
http://sqlfiddle.com/#!18/9e18f/2
The whole part from the division into 4 is easy, the problem is to calculate the accumulated remains for each id, and to calculate which of them will also be divided into 4
I'd like to update approximately the first X number of rows in a table but I want to always update all rows with a matching column at the same time. So if my table has:
MyID Transaction Amount Date Status
1 1 2 02/08/2016 0
1 1 4 02/08/2016 0
2 4 1 02/08/2016 0
2 3 2 02/08/2016 0
3 10 1 02/08/2016 0
3 6 4 02/08/2016 0
I want to update Status to 1 on approximately the first 5 rows, but I don't want to split up matching MyID values, how can I do that? I could update the first 4 or 6 in this example.
Here is one method:
update t
set status = 1
where myId in (select top 5 MyId from t order by MyId);
I have 1 Virtual cube consists of 2 cubes.
Example of fact table of 1st cube.
id object_id time_id date_id state
1 10 2 1 0
2 11 5 1 0
3 10 7 1 1
4 10 3 1 0
5 11 4 1 0
6 11 7 1 1
7 10 8 1 0
8 11 5 1 0
9 10 7 1 1
10 10 9 1 2
Where State: 0 - Ok, 1 - Down, 2 - Unknown
For this cube I have one measure StateCount it should count States for each object_id.
Here for example we have such result:
for 10 : 3 times Ok , 2 times Down, 1 time Unknown
for 11 : 3 times Ok , 1 time Down
Second cube looks like this:
id object_id time_id date_id status
1 10 2 1 0
2 11 5 1 0
3 10 7 1 1
4 10 3 1 1
5 11 4 1 1
Where Status: 0 - out, 1 - in. I keep this in StatusDim.
In this table I keep records that should not be count. If object have status 1 that means that I have exclude it from count.
If we intersect these tables and use StateCount we will receive this result:
for 10 : 2 times Ok , 1 times Down, 1 time Unknown
for 11 : 2 times Ok , 1 time Down
As far as i know, i must use calculated member with IIF condition. Currently I'm trying something like this.
WITH MEMBER [Measures].[StateTimeCountDown] AS(
iif(
[StatusDimDown.DowntimeHierarchy].[DowntimeStatus].CurrentMember.MemberValue
<> "in"
, [Measures].[StateTimeCount]
, null )
)
The multidimensional way to do this would be to make attributes from your state and status columns (hopefully with user understandable members, i. e. using "Ok" and not "0"). Then, you can just use a normal count measure on the fact tables, and slice by these attributes. No need for complex calculation definitions.
So I have data like this:
Date EMPLOYEE_ID HEADCOUNT TERMINATIONS
1/31/2011 1 1 0
2/28/2011 1 1 0
3/31/2011 1 1 0
4/30/2011 1 1 0
...
1/31/2012 1 1 0
2/28/2012 1 1 0
3/31/2012 1 1 0
1/31/2012 2 1 0
2/28/2011 2 1 0
3/31/2011 2 1 0
4/30/2011 2 0 1
1/31/2012 3 1 0
2/28/2011 3 1 0
3/31/2011 3 1 0
4/30/2011 3 1 0
...
1/31/2012 3 1 0
2/28/2012 3 1 0
3/31/2012 3 1 0
And I want to sum up the headcount, but I need to remove the duplicate entries from the sum by the employee_id. From the data you can see employee_id 1 occurs many times in the table, but I only want to add its headcount column once. For example if I rolled up on year I might get a report using this query:
with member [Measures].[Distinct HeadCount] as
??? how do I define this???
select { [Date].[YEAR].children } on ROWS,
{ [Measures].[Distinct HeadCount] } on COLUMNS
from [someCube]
It would product this output:
YEAR Distinct HeadCount
2011 3
2012 2
Any ideas how to do this with MDX? Is there a way to control which row is used in the sum for each employee?
You can use an expression like this:
WITH MEMBER [Measures].[Distinct HeadCount] AS
Sum(NonEmpty('the set of the employee ids', 'all the dates of the current year (ie [Date].[YEAR].CurrentMember)'), [Measures].[HeadCount])
If you want a more generic expression you can use this:
WITH MEMBER [Measures].[Distinct HeadCount] AS
Sum(NonEmpty('the set of the employee ids',
Descendants(Axis(0).Item(0).Item(0).Hierarchy.CurrentMember, Axis(0).Item(0).Item(0).Hierarchy.CurrentMember.Level, LEAVES)),
IIf(IsLeaf(Axis(0).Item(0).Item(0).Hierarchy.CurrentMember),
[Measures].[HeadCount],
NULL))