Eliminate Data based on a column
Hello All,
I am in very weird situation. I have to filter data based on a column. For example, my data is like :
Col1 Col2 Col3 Col4
A1 A B C
A2 A B D
A3 A B E
F G H I
J K L M
I have to filter data based on col1 which has the maximum if Col2 and Col3 have same value. So the o/p of above data will be if (A3> A2 > A1) as Col2 and Col3 have same value A and B:
Col1 Col2 Col3 Col4
A3 A B E
F G H I
J K L M
Please suggest.
Hi,
One way to do that is a Top-N Query . Since you didn't post your table, I'll use scott.emp to illustrate. Ename, deptno, job and hiredate in scott.emp correspond to col1, col2, col3 and co4l (respectively) in your table.
WITH got_r_num AS
SELECT ename, deptno, job, hiredate
, ROW_NUMBER () OVER ( PARTITION BY deptno, job
ORDER BY ename DESC
) AS r_num
FROM scott.emp
SELECT ename, deptno, job, hiredate
FROM got_r_num
WHERE r_num = 1
The query above displays only 1 row for each distinct combination of deptno and job, the row with the last ename.
Similar Messages
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How to filter the Rest Api data based on Taxanomy columns
Hi Everyone,
We are using SharePoint2010 Standard Edition.
I wanted get the library details through REST Api. I am using as below:
https://SiteUrl/_vti_bin/listdata.svc/Documents?$filter=Title eq 'SharePointDoc'
Here I am able to get the info regarding "SharePointDoc". But when I am trying to get the details from Taxonomy filter, it didn't.
Can anyone please tell me how can we filter based on Taxanomy fields.
Thanks in Advance
KrishnasandeepHi,
I understand that you wanted to filter the Rest Api data based on Taxanomy columns.
Per my knowledge, in SharePoint 2010 , not all types of column are available via REST, most annoyingly managed metadata columns are amongst this group of unsupported column types.
However, in SharePoint 2013, we can filter list items based on taxonomy (managed metadata) columns.
Taxonomy fields can be now called via REST API using CAML query in REST calls.
Here is a great blog for your reference:
http://www.cleverworkarounds.com/2013/09/23/how-to-filter-on-a-managed-metadata-column-via-rest-in-sharepoint-2013/comment-page-1/
You’d better to change the REST calls and the CAML query to check whether it works in SharePoint 2010.
More information:
http://platinumdogs.me/2013/03/14/sharepoint-adventures-with-the-rest-api-part-1/
Best Regards,
Linda Li
Linda Li
TechNet Community Support -
How to restrict a table with its set of data based on a column value in it?
Hi,
I have a scenario in which I have to show a set of data of a pivot table by restricting data based on a column value. I am creating BIP report whose source is from BIA ie.RPD. Based on a column value I want to restrict the data being displayed in the table. Since I also want the hidden data in the first table to be displayed in another table in the same report I cannot restrict the data at the query level i.e at RPD or at BIA. For this reason I used
<?xdofx:if saw3_ = 1?>
the pivot table
<?end if?>
But it does not restrict any data.
Also I tried using the if condition inside the table before the row level looping happens. But no good show even then.
How can I forgo this problem?
Regards,
The MMHi,
See : http://download.oracle.com/docs/cd/E12096_01/books/PubUser/T421739T481157.htm#4535373 regarding column and row.
Regards,
Colectionaru -
How to split the data based on one column
Dear All,
I have the table data like this.
type quantity revenue_mny count country
a 10 10 2 India
a 20 12 3 India
b 30 15 1 India
a 35 20 2 US
b 20 10 1 US
b 60 15 1 US
I woulkd like to split the date based on type column.
For each country, for Type "a" get the sum of revenue count quanity ans same for b
and all shuld come in on row for each country.
output should be like
country revenue_mny(For a) quantity(for a) count(For a) revenue_mny(for b) quantity(for b) count(For b)
India 22 30 5 15 30 1
US 20 35 2 25 80 2
I tried the below query . its not splittng the date for each country in one row.
select country,
sum(case when type='a') then revenue_mny else 0 end ) revenue_mny_a,
sum(case when type='b' then revenue_mny else 0 end ) revenue_mny_b
sum(case when type='a' then quantity else 0 end) quantity_a,
sum(case when type='b' then quantity else 0 end) quantity_b from
test
group by country
Please need your heloLike this?
with t as
select 'a' type, 10 quantity, 10 revenue_mny, 2 cnt, 'India' country from dual union all
select 'a', 20, 12, 3, 'India' from dual union all
select 'b', 30, 15, 1, 'India' from dual union all
select 'a', 35, 20, 2, 'US' from dual union all
select 'b', 20, 10, 1, 'US' from dual union all
select 'b', 60, 15, 1, 'US' from dual
select country,
sum(case when type='a' then revenue_mny else 0 end ) revenue_mny_a,
sum(case when type='a' then quantity else 0 end) quantity_a,
sum(case when type='a' then cnt else 0 end) cnt_a,
sum(case when type='b' then revenue_mny else 0 end ) revenue_mny_b,
sum(case when type='b' then quantity else 0 end) quantity_b ,
sum(case when type='b' then cnt else 0 end) cnt_b
from t
group by country;result:
COUNTRY REVENUE_MNY_A QUANTITY_A CNT_A REVENUE_MNY_B QUANTITY_B CNT_B
India 22 30 5 15 30 1
US 20 35 2 25 80 2Or you can do it with a decode instead of case. The result will be the same:
with t as
select 'a' type, 10 quantity, 10 revenue_mny, 2 cnt, 'India' country from dual union all
select 'a', 20, 12, 3, 'India' from dual union all
select 'b', 30, 15, 1, 'India' from dual union all
select 'a', 35, 20, 2, 'US' from dual union all
select 'b', 20, 10, 1, 'US' from dual union all
select 'b', 60, 15, 1, 'US' from dual
select country,
sum(decode(type,'a',revenue_mny,0)) revenue_mny_a,
sum(decode(type,'a',quantity,0)) quantity_a,
sum(decode(type,'a',cnt,0)) cnt_a,
sum(decode(type,'b',revenue_mny,0)) revenue_mny_b,
sum(decode(type,'b',quantity,0)) quantity_b,
sum(decode(type,'b',cnt,0)) cnt_b
from t
group by country;(I changed tablename from TEST to T and columnname from COUNT to CNT, because you should not use reserved words as tablename or columnname.)
Edited by: hm on 09.10.2012 06:17 -
How to display data based on two columns in Apex calendar?
I have a table for holiday details with 2 date columns...from-date and a to-date. I need to display the name of the person for the date range they have specified. For Ex if i applied for leaves from may 1 to may 4...the calendar should display my name for 4 dates i.e may1,2,3 and 4
I am new user in apex and still trying new things. Please help me achieve this.Swetha
I created an application using Apex. It is a calendar application to show events that are happening. I ran into an issue with it
If there is an event that occurs during an interval like August15 - August22, the event is shown only on August15, which is the first day of the event. I would like to show it in all days from August15-22.
Here are the items coming from the page
event_id number,
employee_id number
date_from date,
date_to date,
due_date date,
act_id number,
act_loc varchar2,
reminder varchar2,
frequency varchar2,
division varchar2,
event_status varchar2
I am looking to write a process / procedure where it can show the same event on all the days it is occurring
Thanks in advance
Latha -
Ordering data based on 2 columns
Hi,
I have a table as below
Name1
Age1
Name2
Age2
a
10
a
15
a
10
a
5
c
20
b
25
e
25
c
18
f
30
d
100
I want to order the table based on both (name1 and name2) and then after on age1 and age2.
the resultant data i require is as below
Name1
Age1
Name2
Age2
null
null
a
5
a
10
null
null
a
10
null
null
null
null
a
15
null
null
b
25
null
null
c
18
c
20
null
null
null
null
d
100
e
25
null
null
f
30
null
null
I am able to get the data by performing an outer join but unable to sort in this fashion. Please suggest.Another way
with
temp as
(select 'a' name1,10 age1,'a' name2,15 age2 from dual union all
select 'a',10,'a',5 from dual union all
select 'c',20,'b',25 from dual union all
select 'e',25,'c',18 from dual union all
select 'f',30,'d',100 from dual
select *
from (select name1,age1
from temp
) x
full outer join
(select name2,age2
from temp
) y
on x.name1 = y.name2
and x.age1 = y.age2
order by coalesce(x.name1,y.name2),coalesce(x.age1,y.age2)
NAME1
AGE1
NAME2
AGE2
a
5
a
10
a
10
a
15
b
25
c
18
c
20
d
100
e
25
f
30
Regards
Etbin -
Search for columnName and Split data based on that column name
Hi All,
I have a table with one column, lets say Notes of datatype varchar(max).
Source Date:
Notes
ABC:123:XYZ Dept:IT NameID:1 Name:Tom Hummer Date:04/12/2004
456789:CDEF:ADEF
CBD:12/12/2000:ZXCV Dept:HR NameID:1 Name:Sam Dope Date:06/17/2005
I want Output should look like below. It should split data at 'Dept:' and 'Name:' I need SQl code for SQL Server 2008 R2
Output:
Notes
Dept:IT Name:Tom Hummer
Dept:HR Name:Sam Dope
Thanks,
RH
sqlHello,
Please refer to the following statements:
create table notes (note varchar(max));
insert into notes values
('ABC:123:XYZ Dept:IT NameID:1 Name:Tom Hummer Date:04/12/2004'),
('456789:CDEF:ADEF'),
('7890:RST:QWER Dept:Sales NameID:2 Name:Mike Kule'),
('CBD:12/12/2000:ZXCV Dept:HR NameID:1 Name:Sam Dope Date:06/17/2005')
select case
when charindex('Name:',note)>0 and charindex('Date:',note)>0
then SUBSTRING(note,charindex('Name:',note)-1,charindex('Date:',note)-charindex('Name:',note))
when charindex('Name:',note)>0 and charindex('Date:',note)=0
then SUBSTRING(note,charindex('Name:',note)-1,len(note)-charindex('Name:',note))
end as name
from notes
where charindex('Name:',note)>0
Regards,
Fanny Liu
Fanny Liu
TechNet Community Support -
How to achieve grouping of data based on one column
Hello PL/SQL Gurus/experts,
I am using Oracle Database 11g Enterprise Edition Release 11.2.0.1.0 - 64bit Production version
I have following table -
DROP TABLE T2;
create table T2(Manager,Employee) as select
'Nikki','Ram' from dual union all select
'Nina', 'Rita' from DUAL union all select
'Mike', 'Radha' from dual union all select
'Michael', 'Ratnam' from DUAL union all select
'Hendi', 'Ratna' from dual union all select
'Robert', 'Raman' from dual union all select
'Maria', 'Rolly' from dual union all select
'Kistrien', 'Rachna' from dual union all select
'Andrew', 'Ritvik' from dual union all select
'Emma', 'Ramesh' from dual union all select
'Andy', 'Ranpal' from dual union all select
'Brandy', 'Raunak' from dual union all select
'Nikki','Shyam' from dual union all select
'Nina', 'Sita' from DUAL union all select
'Mike', 'Sadhna' from dual union all select
'Michael', 'Satnam' from DUAL union all select
'Hendi', 'Satna' from dual union all select
'Robert', 'Samar' from dual union all select
'Maria', 'Sameer' from dual union all select
'Kistrien', 'Samrachna' from dual union all select
'Andrew', 'Satvik' from dual union all select
'Emma', 'Somesh' from dual union all select
'Andy', 'Sonpal' from dual union all select
'Brandy', 'Samar' from dual union all select
'Emma', 'Piyush' from dual union all select
'Andy', 'Pavan' from dual union all select
'Brandy', 'Paramjeet' from dual;Expected output -
Manager Employee
Nikki
Ram
Shyam
Nina Rita
Sita
Mike Radha
Sadhna
Michael Ratnam
Satnam
Hendi Ratna
Satna
Robert Raman
Samar
Maria Rolly
Sameer
Kistrien Rachna
Samrachna
Andrew Ritvik
Satvik
Emma Ramesh
Somesh
Piyush
Andy Ranpal
Sonpal
Pavan
Brandy Raunak
Samar
ParamjeetI thank to all of you in advance for your valuable time and inputsIn SQL, something like this...
SQL> ed
Wrote file afiedt.buf
1 select case when row_number() over (partition by emp.manager order by employee) = 1 then
2 mgr.manager
3 else
4 null
5 end as manager
6 ,emp.employee
7 from (select distinct manager from t2) mgr
8 join t2 emp on (mgr.manager = emp.manager)
9* order by mgr.manager, emp.employee
SQL> /
MANAGER EMPLOYEE
Andrew Ritvik
Satvik
Andy Pavan
Ranpal
Sonpal
Brandy Paramjeet
Raunak
Samar
Emma Piyush
Ramesh
Somesh
Hendi Ratna
Satna
Kistrien Rachna
Samrachna
Maria Rolly
Sameer
Michael Ratnam
Satnam
Mike Radha
Sadhna
Nikki Ram
Shyam
Nina Rita
Sita
Robert Raman
Samar
27 rows selected.If you want the managers on their own row with the employees underneath then you'll have to fudge it.
SQL> ed
Wrote file afiedt.buf
1 select case when row_number() over (partition by emp.manager order by employee nulls first) = 1 then
2 mgr.manager
3 else
4 null
5 end as manager
6 ,emp.employee
7 from (select distinct manager from t2) mgr
8 join
9 (select distinct manager, null as employee from t2
10 union all
11 select manager, employee from t2
12 ) emp on (mgr.manager = emp.manager)
13* order by mgr.manager, emp.employee nulls first
SQL> /
MANAGER EMPLOYEE
Andrew
Ritvik
Satvik
Andy
Pavan
Ranpal
Sonpal
Brandy
Paramjeet
Raunak
Samar
Emma
Piyush
Ramesh
Somesh
Hendi
Ratna
Satna
Kistrien
Rachna
Samrachna
Maria
Rolly
Sameer
Michael
Ratnam
Satnam
Mike
Radha
Sadhna
Nikki
Ram
Shyam
Nina
Rita
Sita
Robert
Raman
Samar
39 rows selected. -
When I import a text file(comma separated) into a numbers spreadsheet all the data goes into one column instead of individual columns based on the comma separators. Excel allows you to do this during the import.. Is there a way to accomplish this in numbers without opening it in Excel and the importing into Numbers.
Your user info says iPad. This is the OS X Numbers forum. Assuming you are using OS X… Be sure the file is named with a .csv suffix.
(I don't have an iPad, so I don't know the iOS answer.) -
Access data from from two lists based on lookup columns and insert into another
Hi,
I am new in SharePoint and is stuck in some problem.
I want to insert data in to a list by fetching data from 2 lists.
The scenario is :
List A Columns : EmployeeName, EmployeeID, EmployeeSalary
List B Columns : DepartmentName, EmployeeID, ManagerID
EmployeeID is lookup column
I want to fetch data from these 2 lists and insert data into another list:
List C Columns: EmployeeName, EmployeeSalary, DepartmentName
Can someone please explain me all the possible approaches to do the above taskIf ListA and ListB are the lists that you created, it would be better to generate the lists data into one list not seperate lists, as they both represents the property information of one employee.
If they are existing lists, you may have following considerations:
1. if you are a programmer, it would be easier to have a lookup column at ListA, to generate the EmployeeName, EmplyeeSalary, then using ItemAdded event, to generate the DepartmentName column based on EmployeeID column.
2. have a lookup column look at ListA, use workflow, set when item is created, start the workflow automatically, then in the workflow, find ListB related item based on EmployeeID column, to set the DepartmentName column, SharePoint designer workflow
set Item Value activity can do this work, you can research to find more information about how to do this.
Thanks,
Qiao Wei <br/> My blog:http://blog.goobol.com -
How to consolidate rows of data based on a single column?
I have a large amount of data that is currently formatted like this:
18 - 2 - 0 - 0 - 0 - 0 - 0 - 0 - 0
18 - 0 - 4 - 0 - 0 - 0 - 0 - 0 - 0
18 - 0 - 0 - 5 - 0 - 0 - 0 - 0 - 0
19 - 0 - 2 - 0 - 0 - 0 - 0 - 0 - 0
19 - 0 - 0 - 0 - 5 - 0 - 0 - 0 - 0
20 - 1 - 0 - 0 - 0 - 0 - 0 - 0 - 0
20 - 0 - 0 - 0 - 0 - 0 - 3 - 0 - 0
20 - 0 - 0 - 0 - 0 - 0 - 0 - 0 - 2
I would like to sort it all based on the value in first column. Currently, each row has only 2 (non-zero)
values. The first in column A, and another in only ONE of the other columns. I want to consolidate the rows according to the value in column A. The final product should look like this:
18 - 2 - 4 - 5 - 0 - 0 - 0 - 0 - 0
19 - 0 - 2 - 0 - 5 - 0 - 0 - 0 - 0
20 - 1 - 0 - 0 - 0 - 0 - 3 - 0 - 2
How can I go about doing this?
Thanks in advanceUse advanced data filters to create a unique list based on column A in another range, then use SUMIF formulas keyed to those values to sum the other columns.
Or use a pivot table, with column A as the row field, and the others as data , each set to sum. and then drag the data button to the column field area. -
Report "Display Text (Based on LOV)" columns don't like colons - Bug?
This is a bit hard to explain in text, so I've built a sample app: http://apex.oracle.com/pls/otn/f?p=9608:1
The app has two pages, which demonstrate two related bugs in the handling of Report "Display as Text (based on LOV)" columns.
Basically, if the LOV query returns a string that contains colon characters (":") in the display column, the values are matched up correctly, but the colons are stripped from the display.
If the LOV query returns a string that contains colon characters in the return value column, then the matching fails entirely.
Removing the colon characters eliminates the problem.
We actually ran into this in a production environment, after an upgrade from Apex 3.0.0 to 3.2.1. The behavior definitely did not occur in Apex 3.0, but was added at some point between the two versions.The colon is actually part of our data (the field in question is a URN namespace).
And yes, I understand the function of the colon in Apex URL parameter passing. However, I wouldn't expect that sort of parsing to be used against the results returned from an LOV query.
Also, the LOV is fine in of itself -- a select list based on the LOV displays & returns the expected values. It's only when I use a report column based on an LOV that this behavior creeps in.
We've found a (fairly painful) workaround -- altering both the report query and the LOV query to to do something like replace(column, ':', '_') -- but that's a manual change to a large number of pages for us.
This behavior is new to version 3.2.1. It didn't happen in version 3.0. -
SSRS report with tabular model - MDX query to filter parameter data based on Tuple value.
Hello Everyone,
I am working on SSRS report in which a tabular model is being used as a backend.
I want to filter the report parameters which are dependent to other parameters. Like, country, state, and cities drop downs.
All are multi-select parameters. I am using MDX queries to filter the parameters data.
Based on selected one or more countries, the data of states needs to be filtered.
The point is the text which is being displayed in state dropdown for each state name is combination of 3 different members.
So, I created the following Tuple for the same and can see the expected display names in states dropdown.
"("+
[Location].[Code 1].CURRENTMEMBER.UNIQUENAME +","+
[Location].[Code 2].CURRENTMEMBER.UNIQUENAME +","+
[Location].[Descr].CURRENTMEMBER.UNIQUENAME +")"
Now, when I would like filter the cities data based on selected one or more states, I am unable to pass the multiple Tuples (more than one selected Tuples) as parameter for cities dropdown.
The following is my query for City parameter. It is working well when I select only one State from the dropdown.
However, when I select multiple states, it is unable to convert the Tuple into SET in ELSE part of IIF condition specified in following query.
Can anybody help me how to resolve the error that I am getting about STRTOSET function?
Or
Are there any other alternatives to achieve this requirement?
Any help would be much appreciated.
Query:
WITH MEMBER [Measures].[ParameterCaption] AS [City].[City Business].CURRENTMEMBER.MEMBER_CAPTION
MEMBER [Measures].[ParameterValue] AS [City].[City Business].CURRENTMEMBER.UNIQUENAME
MEMBER [Measures].[ParameterLevel] AS [City].[City Business].CURRENTMEMBER.LEVEL.ORDINAL
SELECT {[Measures].[ParameterCaption], [Measures].[ParameterValue], [Measures].[ParameterLevel]} ON COLUMNS ,
[City].[City Business].Children ON ROWS
FROM (
SELECT ( STRTOSET(@State, CONSTRAINED) ) ON COLUMNS FROM [Model])
WHERE ( IIF( STRTOSET(@State).Count= 1,
STRTOTUPLE(@State, CONSTRAINED),
STRTOSET("{
("+
[Location].[Code 1].CURRENTMEMBER.UNIQUENAME +","+
[Location].[Code 2].CURRENTMEMBER.UNIQUENAME +","+
[Location].[Descr].CURRENTMEMBER.UNIQUENAME
+ ")
}",CONSTRAINED )) ) CELL PROPERTIES VALUE
Thanks, Ankit Shah
Inkey Solutions, India.
Microsoft Certified Business Management Solutions Professionals
http://www.inkeysolutions.com/MicrosoftDynamicsCRM.htmlHi,
I used following dynamic query in expression of dataset of parameter and it works like a charm.
"WITH MEMBER [Measures].[ParameterCaption] AS [City].[City Business].CURRENTMEMBER.MEMBER_CAPTION "&
"MEMBER [Measures].[ParameterValue] AS [City].[City Business].CURRENTMEMBER.UNIQUENAME "&
"MEMBER [Measures].[ParameterLevel] AS [City].[City Business].CURRENTMEMBER.LEVEL.ORDINAL "&
"SELECT {[Measures].[ParameterCaption], [Measures].[ParameterValue], [Measures].[ParameterLevel]} ON COLUMNS , " &
"[City].[City Business].Children ON ROWS " &
" FROM [Model] WHERE ({"& join(Parameters!Location.Value,",") &"}) CELL PROPERTIES VALUE"
Thanks, Ankit Shah
Inkey Solutions, India.
Microsoft Certified Business Management Solutions Professionals
http://www.inkeysolutions.com/MicrosoftDynamicsCRM.html -
Hi All,
I'm still struggling with the same cube and this is my 3rd post and once i fix some thing the other breaks. Please forgive me. When i process my cube i'm getting the error:
Errors in the back-end database access module. OLE DB was unable to convert a value to the data type requested for column 5.
My question is when the error says column 5 (is it the column 5 in the DSV?) or is it the column 5 in the DIMENSION list?
My next question is the DSV Query works perfectly fine , so why this error in cube? This is what i have in the query in DSV.
Please need help. In the below query both the column 5 (ArEASSIGNED TO VENDOR) in the CUBE and underlying table have the same data type and length VARCHAR(4000). Why is the process failing still?
SELECT [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[compliancejoin]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_0],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[mowingsector]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_1],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[caseclosedflag]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_2],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casehasvendorinfo]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_3],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[mowingstatus]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_4],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[assignedtovendor]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_5],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[reassignedtovendor]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_6],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[currentvendor]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_7],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[invoiced]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTSInvoiced0_8],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[invoicedstatus]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_9],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casecloseddateid]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_10],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[assignedtovendordateid] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_11],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[reassigneddateid] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_12],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[currentassigneddateid] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_13],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[mowingduedateid] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_14],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[vendormoweddateid] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_15],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[captypename] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_16],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casetype] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTSCaseType0_17],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casenumbersubgroup] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_18],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casetownship] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_19],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casestatus] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTSCaseStatus0_20],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[caseopendateid] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_21],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casereferredtolegalflag]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_22],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casemacinitiatedflag] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_23],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[caseconversionstatusdesc]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_24],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[reasonforinvestigation] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_25],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[investigationopendateid]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_26],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[receiveddateid] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_27],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[assigned_department_staff]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_28],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[caseinitiator] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_29],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[vendorinvoiceamount] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_30],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[inspection_result] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_31],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[reason_for_complaint] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_32],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[vendor_action] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_33],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[complaint_source] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_34],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[contractcompliancevendor]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_35],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[invoicedstatusdateid] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_36],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[date_of_complaint_id] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_37],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[date_of_inspection_id] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_38],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casenumber] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTSCaseNumber0_39],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[parcelnumber] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_40],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[row_index] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTSROW_INDEX0_41]
FROM (SELECT CASE Isnumeric(
accela_staging.dbo.fact_highweedsandgrassdetails.vendorinvoiceamount)
WHEN 1 THEN Cast(
fact_highweedsandgrassdetails.vendorinvoiceamount AS
VARCHAR(
10))
END AS
Total_Dollar_Amount,
fact_highweedsandgrassdetails.casenumber,
fact_highweedsandgrassdetails.row_index,
fact_highweedsandgrassdetails.mowingsector,
fact_highweedsandgrassdetails.caseclosedflag,
fact_highweedsandgrassdetails.casecloseddateid,
fact_highweedsandgrassdetails.maccomments,
fact_highweedsandgrassdetails.lastfeeinvoicedateid,
fact_highweedsandgrassdetails.casehasvendorinfo,
fact_highweedsandgrassdetails.mowingstatus,
fact_highweedsandgrassdetails.receiveddateid,
fact_highweedsandgrassdetails.assignedtovendordateid,
fact_highweedsandgrassdetails.assignedtovendor,
fact_highweedsandgrassdetails.reassigneddateid,
fact_highweedsandgrassdetails.reassignedtovendor,
fact_highweedsandgrassdetails.currentvendor,
fact_highweedsandgrassdetails.currentassigneddateid,
fact_highweedsandgrassdetails.mowingduedateid,
fact_highweedsandgrassdetails.vendormoweddateid,
fact_highweedsandgrassdetails.invoiced,
fact_highweedsandgrassdetails.invoicedstatus,
fact_highweedsandgrassdetails.invoicedstatusdateid,
fact_highweedsandgrassdetails.vendorinvoicenumber,
fact_highweedsandgrassdetails.vendorcomments,
fact_casedetails.captypename,
fact_casedetails.casenumbersubgroup,
fact_casedetails.casetype,
fact_casedetails.township AS
CaseTownship,
fact_casedetails.casestatus,
fact_casedetails.caseopendateid,
fact_casedetails.referredtolegalflag AS
CaseReferredToLegalFlag,
fact_casedetails.macinitiatedflag AS
CaseMACInitiatedFlag,
fact_casedetails.conversionstatusdesc AS
CaseConversionStatusDesc,
fact_casedetails.assignedstaff AS
CaseAssignedStaff,
fact_casedetails.completedstaff AS
CaseCompletedStaff,
fact_casedetails.closedbystaff AS
CaseClosedByStaff,
fact_casedetails.initiator AS
CaseInitiator,
fact_casedetails.reasonforinvestigation,
fact_casedetails.primaryaddress,
fact_casedetails.parcelnumber,
Cast(Datediff([day],
fact_highweedsandgrassdetails.receiveddatetime,
COALESCE (fact_highweedsandgrassdetails.casecloseddate,
fact_highweedsandgrassdetails.vendormoweddate,
fact_highweedsandgrassdetails.recordimportdatetime)) AS
DECIMAL(6, 2))
AS
DaysOpen,
Cast(Datediff([day],
fact_highweedsandgrassdetails.receiveddatetime,
COALESCE
(fact_highweedsandgrassdetails.vendormoweddate,
fact_highweedsandgrassdetails.casecloseddate,
fact_highweedsandgrassdetails.recordimportdatetime)) AS
NUMERIC(9, 2))
* 24 AS
HoursOpenToMow,
Cast(Datediff([day],
fact_highweedsandgrassdetails.assignedtovendordate,
COALESCE
(fact_highweedsandgrassdetails.vendormoweddate,
fact_highweedsandgrassdetails.casecloseddate,
fact_highweedsandgrassdetails.recordimportdatetime)) AS
NUMERIC(9, 2))
* 24 AS
HoursAssignedToMow,
CASE
WHEN mowingstatus = 'Mowed'
OR mowingstatus = 'Closed' THEN 1
ELSE 0
END AS
NumberComplete,
fact_highweedsandgrassdetails.recordimportdatetime,
fact_casedetails.macsiebelnumber,
fact_highweedsandgrassdetails.mowingduedate,
fact_highweedsandgrassdetails.vendormoweddate,
fact_highweedsandgrassdetails.lastfeeinvoicedate,
fact_highweedsandgrassdetails.investigationopendatetime,
fact_highweedsandgrassdetails.investigationopendate,
fact_highweedsandgrassdetails.investigationopendateid,
Cast(Datediff([day],
fact_highweedsandgrassdetails.investigationopendatetime,
CASE
WHEN
( vendormoweddatetime IS NOT NULL
AND vendormoweddatetime <=
fact_highweedsandgrassdetails.casecloseddate ) THEN
fact_highweedsandgrassdetails.vendormoweddatetime
ELSE
CASE
WHEN (
fact_highweedsandgrassdetails.casecloseddate IS
NOT NULL
AND fact_highweedsandgrassdetails.casecloseddate
<=
fact_highweedsandgrassdetails.recordimportdatetime )
THEN
fact_highweedsandgrassdetails.casecloseddate
ELSE fact_highweedsandgrassdetails.recordimportdatetime
END
END) AS NUMERIC(9, 2)) * 24 AS
AbatementDurationHoursOLD,
Cast(Datediff([day],
fact_highweedsandgrassdetails.investigationopendatetime,
CASE
WHEN
COALESCE (vendormoweddatetime,
fact_highweedsandgrassdetails.casecloseddate) IS
NOT NULL THEN COALESCE (vendormoweddatetime,
fact_highweedsandgrassdetails.casecloseddate)
ELSE
CASE
WHEN ( fact_highweedsandgrassdetails.casecloseddate IS NOT NULL
AND fact_highweedsandgrassdetails.casecloseddate <=
fact_highweedsandgrassdetails.recordimportdatetime ) THEN
fact_highweedsandgrassdetails.casecloseddate
ELSE fact_highweedsandgrassdetails.recordimportdatetime
END
END) AS NUMERIC(9, 2)) * 24 AS
AbatementDurationHours,
fact_casedetails.assigneddepartment,
COALESCE (fact_casedetails.assignedstaff, '[null]')
+ '/'
+ COALESCE (fact_casedetails.assigneddepartment, '[null]') AS
Assigned_Department_Staff,
fact_highweedsandgrassdetails.casecloseddate,
fact_highweedsandgrassdetails.receiveddatetime,
fact_highweedsandgrassdetails.assignedtovendordate,
fact_highweedsandgrassdetails.vendorinvoiceamount,
fact_highweedsandgrassdetails.invoicedstatusdate,
fact_highweedsandgrassdetails.complaint_source,
fact_highweedsandgrassdetails.inspection_result,
fact_highweedsandgrassdetails.reason_for_complaint,
fact_highweedsandgrassdetails.contractcompliancevendor,
fact_highweedsandgrassdetails.vendor_action,
fact_highweedsandgrassdetails.date_of_complaint_id,
fact_highweedsandgrassdetails.date_of_inspection_id,
CONVERT(INT, Replace(Replace(fact_highweedsandgrassdetails.casenumber,
'HWG', 0)
, '-', 0)) AS compliancejoin,
fact_highweedsandgrassdetails.maccomments AS Expr1,
dbo.dim_highweedscensustracts.b1_census_tract
FROM dbo.fact_highweedsandgrassdetails
INNER JOIN dbo.fact_casedetails
ON fact_highweedsandgrassdetails.casenumber =
fact_casedetails.casenumber
INNER JOIN dbo.dim_highweedscensustracts
ON fact_highweedsandgrassdetails.casenumber =
dbo.dim_highweedscensustracts.casenumber
GROUP BY fact_highweedsandgrassdetails.casenumber,
fact_highweedsandgrassdetails.row_index,
fact_highweedsandgrassdetails.mowingsector,
fact_highweedsandgrassdetails.caseclosedflag,
fact_highweedsandgrassdetails.casecloseddateid,
fact_highweedsandgrassdetails.maccomments,
fact_highweedsandgrassdetails.lastfeeinvoicedateid,
fact_highweedsandgrassdetails.casehasvendorinfo,
fact_highweedsandgrassdetails.mowingstatus,
fact_highweedsandgrassdetails.receiveddateid,
fact_highweedsandgrassdetails.assignedtovendordateid,
fact_highweedsandgrassdetails.assignedtovendor,
fact_highweedsandgrassdetails.reassigneddateid,
fact_highweedsandgrassdetails.reassignedtovendor,
fact_highweedsandgrassdetails.currentvendor,
fact_highweedsandgrassdetails.currentassigneddateid,
fact_highweedsandgrassdetails.mowingduedateid,
fact_highweedsandgrassdetails.vendormoweddateid,
fact_highweedsandgrassdetails.invoiced,
fact_highweedsandgrassdetails.invoicedstatus,
fact_highweedsandgrassdetails.invoicedstatusdateid,
fact_highweedsandgrassdetails.vendorinvoicenumber,
fact_highweedsandgrassdetails.vendorcomments,
fact_casedetails.captypename,
fact_casedetails.casenumbersubgroup,
fact_casedetails.casetype,
fact_casedetails.township,
fact_casedetails.casestatus,
fact_casedetails.caseopendateid,
fact_casedetails.referredtolegalflag,
fact_casedetails.macinitiatedflag,
fact_casedetails.conversionstatusdesc,
fact_casedetails.assignedstaff,
fact_casedetails.completedstaff,
fact_casedetails.closedbystaff,
fact_casedetails.initiator,
fact_casedetails.reasonforinvestigation,
fact_casedetails.primaryaddress,
fact_casedetails.parcelnumber,
fact_highweedsandgrassdetails.vendormoweddatetime,
Cast(Datediff([day],
fact_highweedsandgrassdetails.receiveddatetime,
COALESCE (
fact_highweedsandgrassdetails.casecloseddate,
fact_highweedsandgrassdetails.vendormoweddate,
fact_highweedsandgrassdetails.recordimportdatetime))
AS
NUMERIC(9, 2)),
Cast(Datediff([day],
fact_highweedsandgrassdetails.receiveddatetime,
COALESCE (
fact_highweedsandgrassdetails.vendormoweddate,
fact_highweedsandgrassdetails.casecloseddate,
fact_highweedsandgrassdetails.recordimportdatetime))
AS
NUMERIC(9, 2)),
Cast(Datediff([day],
fact_highweedsandgrassdetails.assignedtovendordate,
COALESCE (
fact_highweedsandgrassdetails.vendormoweddate,
fact_highweedsandgrassdetails.casecloseddate,
fact_highweedsandgrassdetails.recordimportdatetime))
AS
NUMERIC(9, 2)),
CASE
WHEN mowingstatus = 'Mowed'
OR mowingstatus = 'Closed' THEN 1
ELSE 0
END,
fact_highweedsandgrassdetails.recordimportdatetime,
fact_casedetails.macsiebelnumber,
fact_highweedsandgrassdetails.mowingduedate,
fact_highweedsandgrassdetails.vendormoweddate,
fact_highweedsandgrassdetails.lastfeeinvoicedate,
fact_highweedsandgrassdetails.investigationopendatetime,
fact_highweedsandgrassdetails.investigationopendate,
fact_highweedsandgrassdetails.investigationopendateid,
Cast(Datediff([day],
fact_highweedsandgrassdetails.investigationopendatetime,
CASE
WHEN
( vendormoweddatetime IS NOT NULL
AND vendormoweddatetime <=
fact_highweedsandgrassdetails.casecloseddate ) THEN
fact_highweedsandgrassdetails.vendormoweddatetime
ELSE
CASE
WHEN (
fact_highweedsandgrassdetails.casecloseddate
IS NOT NULL
AND
fact_highweedsandgrassdetails.casecloseddate <=
fact_highweedsandgrassdetails.recordimportdatetime )
THEN
fact_highweedsandgrassdetails.casecloseddate
ELSE
fact_highweedsandgrassdetails.recordimportdatetime
END
END) AS NUMERIC(9, 2)),
Cast(Datediff(ss,
fact_highweedsandgrassdetails.investigationopendatetime,
CASE
WHEN
COALESCE (vendormoweddatetime,
fact_highweedsandgrassdetails.casecloseddate) IS
NOT NULL THEN COALESCE (vendormoweddatetime,
fact_highweedsandgrassdetails.casecloseddate)
ELSE
CASE
WHEN
( fact_highweedsandgrassdetails.casecloseddate IS NOT NULL
AND fact_highweedsandgrassdetails.casecloseddate <=
fact_highweedsandgrassdetails.recordimportdatetime ) THEN
fact_highweedsandgrassdetails.casecloseddate
ELSE fact_highweedsandgrassdetails.recordimportdatetime
END
END) AS NUMERIC(18, 2)) * 60,
fact_casedetails.assigneddepartment,
COALESCE (fact_casedetails.assignedstaff, '[null]')
+ '/'
+ COALESCE (fact_casedetails.assigneddepartment, '[null]'),
fact_highweedsandgrassdetails.casecloseddate,
fact_highweedsandgrassdetails.receiveddatetime,
fact_highweedsandgrassdetails.assignedtovendordate,
fact_highweedsandgrassdetails.vendorinvoiceamount,
fact_highweedsandgrassdetails.invoicedstatusdate,
fact_highweedsandgrassdetails.complaint_source,
fact_highweedsandgrassdetails.inspection_result,
fact_highweedsandgrassdetails.reason_for_complaint,
fact_highweedsandgrassdetails.contractcompliancevendor,
fact_highweedsandgrassdetails.vendor_action,
fact_highweedsandgrassdetails.date_of_complaint_id,
fact_highweedsandgrassdetails.date_of_inspection_id,
CONVERT(INT, Replace(
Replace(fact_highweedsandgrassdetails.casenumber, 'HWG', 0)
, '-', 0)),
fact_highweedsandgrassdetails.maccomments,
dbo.dim_highweedscensustracts.b1_census_tract) AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS]
ORDER BY [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[compliancejoin]
ASC
SVI just counted the columns from the top:
1) compliancejoin, 2) mowingsector, 3) caseclosedflag, 4) casehasvendorinfo, 5) mowingstatus, 6) assignedtovendor.
I see now that your subject line talks about column 6, but you say column 5 in body of your original post.
I don't know anything about cubes, but apparently there is some mapping problem when you run it from SSAS. (I assume it is SSAS, a part of the product I'm entirely ignorant of.) I figured that if you had got tripped by the zero-based numbering, you
might be staring on the wrong column.
Erland Sommarskog, SQL Server MVP, [email protected] -
Hi All,
I'm still struggling with the same cube and this is my 3rd post and once i fix some thing the other breaks. Please forgive me. When i process my cube i'm getting the error:
Errors in the back-end database access module. OLE DB was unable to convert a value to the data type requested for column 5.
My question is when the error says column 5 (is it the column 5 in the DSV?) or is it the column 5 in the DIMENSION list?
My next question is the DSV Query works perfectly fine , so why this error in cube? This is what i have in the query in DSV.
Please need help. In the below query both the column 5 (ArEASSIGNED TO VENDOR) in the CUBE and underlying table have the same data type and length VARCHAR(4000). Why is the process failing still?
SELECT [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[compliancejoin]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_0],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[mowingsector]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_1],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[caseclosedflag]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_2],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casehasvendorinfo]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_3],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[mowingstatus]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_4],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[assignedtovendor]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_5],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[reassignedtovendor]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_6],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[currentvendor]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_7],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[invoiced]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTSInvoiced0_8],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[invoicedstatus]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_9],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casecloseddateid]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_10],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[assignedtovendordateid] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_11],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[reassigneddateid] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_12],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[currentassigneddateid] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_13],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[mowingduedateid] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_14],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[vendormoweddateid] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_15],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[captypename] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_16],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casetype] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTSCaseType0_17],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casenumbersubgroup] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_18],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casetownship] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_19],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casestatus] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTSCaseStatus0_20],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[caseopendateid] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_21],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casereferredtolegalflag]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_22],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casemacinitiatedflag] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_23],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[caseconversionstatusdesc]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_24],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[reasonforinvestigation] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_25],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[investigationopendateid]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_26],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[receiveddateid] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_27],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[assigned_department_staff]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_28],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[caseinitiator] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_29],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[vendorinvoiceamount] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_30],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[inspection_result] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_31],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[reason_for_complaint] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_32],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[vendor_action] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_33],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[complaint_source] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_34],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[contractcompliancevendor]
AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_35],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[invoicedstatusdateid] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_36],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[date_of_complaint_id] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_37],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[date_of_inspection_id] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_38],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casenumber] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTSCaseNumber0_39],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[parcelnumber] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_40],
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[row_index] AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTSROW_INDEX0_41]
FROM (SELECT CASE Isnumeric(
accela_staging.dbo.fact_highweedsandgrassdetails.vendorinvoiceamount)
WHEN 1 THEN Cast(
fact_highweedsandgrassdetails.vendorinvoiceamount AS
VARCHAR(
10))
END AS
Total_Dollar_Amount,
fact_highweedsandgrassdetails.casenumber,
fact_highweedsandgrassdetails.row_index,
fact_highweedsandgrassdetails.mowingsector,
fact_highweedsandgrassdetails.caseclosedflag,
fact_highweedsandgrassdetails.casecloseddateid,
fact_highweedsandgrassdetails.maccomments,
fact_highweedsandgrassdetails.lastfeeinvoicedateid,
fact_highweedsandgrassdetails.casehasvendorinfo,
fact_highweedsandgrassdetails.mowingstatus,
fact_highweedsandgrassdetails.receiveddateid,
fact_highweedsandgrassdetails.assignedtovendordateid,
fact_highweedsandgrassdetails.assignedtovendor,
fact_highweedsandgrassdetails.reassigneddateid,
fact_highweedsandgrassdetails.reassignedtovendor,
fact_highweedsandgrassdetails.currentvendor,
fact_highweedsandgrassdetails.currentassigneddateid,
fact_highweedsandgrassdetails.mowingduedateid,
fact_highweedsandgrassdetails.vendormoweddateid,
fact_highweedsandgrassdetails.invoiced,
fact_highweedsandgrassdetails.invoicedstatus,
fact_highweedsandgrassdetails.invoicedstatusdateid,
fact_highweedsandgrassdetails.vendorinvoicenumber,
fact_highweedsandgrassdetails.vendorcomments,
fact_casedetails.captypename,
fact_casedetails.casenumbersubgroup,
fact_casedetails.casetype,
fact_casedetails.township AS
CaseTownship,
fact_casedetails.casestatus,
fact_casedetails.caseopendateid,
fact_casedetails.referredtolegalflag AS
CaseReferredToLegalFlag,
fact_casedetails.macinitiatedflag AS
CaseMACInitiatedFlag,
fact_casedetails.conversionstatusdesc AS
CaseConversionStatusDesc,
fact_casedetails.assignedstaff AS
CaseAssignedStaff,
fact_casedetails.completedstaff AS
CaseCompletedStaff,
fact_casedetails.closedbystaff AS
CaseClosedByStaff,
fact_casedetails.initiator AS
CaseInitiator,
fact_casedetails.reasonforinvestigation,
fact_casedetails.primaryaddress,
fact_casedetails.parcelnumber,
Cast(Datediff([day],
fact_highweedsandgrassdetails.receiveddatetime,
COALESCE (fact_highweedsandgrassdetails.casecloseddate,
fact_highweedsandgrassdetails.vendormoweddate,
fact_highweedsandgrassdetails.recordimportdatetime)) AS
DECIMAL(6, 2))
AS
DaysOpen,
Cast(Datediff([day],
fact_highweedsandgrassdetails.receiveddatetime,
COALESCE
(fact_highweedsandgrassdetails.vendormoweddate,
fact_highweedsandgrassdetails.casecloseddate,
fact_highweedsandgrassdetails.recordimportdatetime)) AS
NUMERIC(9, 2))
* 24 AS
HoursOpenToMow,
Cast(Datediff([day],
fact_highweedsandgrassdetails.assignedtovendordate,
COALESCE
(fact_highweedsandgrassdetails.vendormoweddate,
fact_highweedsandgrassdetails.casecloseddate,
fact_highweedsandgrassdetails.recordimportdatetime)) AS
NUMERIC(9, 2))
* 24 AS
HoursAssignedToMow,
CASE
WHEN mowingstatus = 'Mowed'
OR mowingstatus = 'Closed' THEN 1
ELSE 0
END AS
NumberComplete,
fact_highweedsandgrassdetails.recordimportdatetime,
fact_casedetails.macsiebelnumber,
fact_highweedsandgrassdetails.mowingduedate,
fact_highweedsandgrassdetails.vendormoweddate,
fact_highweedsandgrassdetails.lastfeeinvoicedate,
fact_highweedsandgrassdetails.investigationopendatetime,
fact_highweedsandgrassdetails.investigationopendate,
fact_highweedsandgrassdetails.investigationopendateid,
Cast(Datediff([day],
fact_highweedsandgrassdetails.investigationopendatetime,
CASE
WHEN
( vendormoweddatetime IS NOT NULL
AND vendormoweddatetime <=
fact_highweedsandgrassdetails.casecloseddate ) THEN
fact_highweedsandgrassdetails.vendormoweddatetime
ELSE
CASE
WHEN (
fact_highweedsandgrassdetails.casecloseddate IS
NOT NULL
AND fact_highweedsandgrassdetails.casecloseddate
<=
fact_highweedsandgrassdetails.recordimportdatetime )
THEN
fact_highweedsandgrassdetails.casecloseddate
ELSE fact_highweedsandgrassdetails.recordimportdatetime
END
END) AS NUMERIC(9, 2)) * 24 AS
AbatementDurationHoursOLD,
Cast(Datediff([day],
fact_highweedsandgrassdetails.investigationopendatetime,
CASE
WHEN
COALESCE (vendormoweddatetime,
fact_highweedsandgrassdetails.casecloseddate) IS
NOT NULL THEN COALESCE (vendormoweddatetime,
fact_highweedsandgrassdetails.casecloseddate)
ELSE
CASE
WHEN ( fact_highweedsandgrassdetails.casecloseddate IS NOT NULL
AND fact_highweedsandgrassdetails.casecloseddate <=
fact_highweedsandgrassdetails.recordimportdatetime ) THEN
fact_highweedsandgrassdetails.casecloseddate
ELSE fact_highweedsandgrassdetails.recordimportdatetime
END
END) AS NUMERIC(9, 2)) * 24 AS
AbatementDurationHours,
fact_casedetails.assigneddepartment,
COALESCE (fact_casedetails.assignedstaff, '[null]')
+ '/'
+ COALESCE (fact_casedetails.assigneddepartment, '[null]') AS
Assigned_Department_Staff,
fact_highweedsandgrassdetails.casecloseddate,
fact_highweedsandgrassdetails.receiveddatetime,
fact_highweedsandgrassdetails.assignedtovendordate,
fact_highweedsandgrassdetails.vendorinvoiceamount,
fact_highweedsandgrassdetails.invoicedstatusdate,
fact_highweedsandgrassdetails.complaint_source,
fact_highweedsandgrassdetails.inspection_result,
fact_highweedsandgrassdetails.reason_for_complaint,
fact_highweedsandgrassdetails.contractcompliancevendor,
fact_highweedsandgrassdetails.vendor_action,
fact_highweedsandgrassdetails.date_of_complaint_id,
fact_highweedsandgrassdetails.date_of_inspection_id,
CONVERT(INT, Replace(Replace(fact_highweedsandgrassdetails.casenumber,
'HWG', 0)
, '-', 0)) AS compliancejoin,
fact_highweedsandgrassdetails.maccomments AS Expr1,
dbo.dim_highweedscensustracts.b1_census_tract
FROM dbo.fact_highweedsandgrassdetails
INNER JOIN dbo.fact_casedetails
ON fact_highweedsandgrassdetails.casenumber =
fact_casedetails.casenumber
INNER JOIN dbo.dim_highweedscensustracts
ON fact_highweedsandgrassdetails.casenumber =
dbo.dim_highweedscensustracts.casenumber
GROUP BY fact_highweedsandgrassdetails.casenumber,
fact_highweedsandgrassdetails.row_index,
fact_highweedsandgrassdetails.mowingsector,
fact_highweedsandgrassdetails.caseclosedflag,
fact_highweedsandgrassdetails.casecloseddateid,
fact_highweedsandgrassdetails.maccomments,
fact_highweedsandgrassdetails.lastfeeinvoicedateid,
fact_highweedsandgrassdetails.casehasvendorinfo,
fact_highweedsandgrassdetails.mowingstatus,
fact_highweedsandgrassdetails.receiveddateid,
fact_highweedsandgrassdetails.assignedtovendordateid,
fact_highweedsandgrassdetails.assignedtovendor,
fact_highweedsandgrassdetails.reassigneddateid,
fact_highweedsandgrassdetails.reassignedtovendor,
fact_highweedsandgrassdetails.currentvendor,
fact_highweedsandgrassdetails.currentassigneddateid,
fact_highweedsandgrassdetails.mowingduedateid,
fact_highweedsandgrassdetails.vendormoweddateid,
fact_highweedsandgrassdetails.invoiced,
fact_highweedsandgrassdetails.invoicedstatus,
fact_highweedsandgrassdetails.invoicedstatusdateid,
fact_highweedsandgrassdetails.vendorinvoicenumber,
fact_highweedsandgrassdetails.vendorcomments,
fact_casedetails.captypename,
fact_casedetails.casenumbersubgroup,
fact_casedetails.casetype,
fact_casedetails.township,
fact_casedetails.casestatus,
fact_casedetails.caseopendateid,
fact_casedetails.referredtolegalflag,
fact_casedetails.macinitiatedflag,
fact_casedetails.conversionstatusdesc,
fact_casedetails.assignedstaff,
fact_casedetails.completedstaff,
fact_casedetails.closedbystaff,
fact_casedetails.initiator,
fact_casedetails.reasonforinvestigation,
fact_casedetails.primaryaddress,
fact_casedetails.parcelnumber,
fact_highweedsandgrassdetails.vendormoweddatetime,
Cast(Datediff([day],
fact_highweedsandgrassdetails.receiveddatetime,
COALESCE (
fact_highweedsandgrassdetails.casecloseddate,
fact_highweedsandgrassdetails.vendormoweddate,
fact_highweedsandgrassdetails.recordimportdatetime))
AS
NUMERIC(9, 2)),
Cast(Datediff([day],
fact_highweedsandgrassdetails.receiveddatetime,
COALESCE (
fact_highweedsandgrassdetails.vendormoweddate,
fact_highweedsandgrassdetails.casecloseddate,
fact_highweedsandgrassdetails.recordimportdatetime))
AS
NUMERIC(9, 2)),
Cast(Datediff([day],
fact_highweedsandgrassdetails.assignedtovendordate,
COALESCE (
fact_highweedsandgrassdetails.vendormoweddate,
fact_highweedsandgrassdetails.casecloseddate,
fact_highweedsandgrassdetails.recordimportdatetime))
AS
NUMERIC(9, 2)),
CASE
WHEN mowingstatus = 'Mowed'
OR mowingstatus = 'Closed' THEN 1
ELSE 0
END,
fact_highweedsandgrassdetails.recordimportdatetime,
fact_casedetails.macsiebelnumber,
fact_highweedsandgrassdetails.mowingduedate,
fact_highweedsandgrassdetails.vendormoweddate,
fact_highweedsandgrassdetails.lastfeeinvoicedate,
fact_highweedsandgrassdetails.investigationopendatetime,
fact_highweedsandgrassdetails.investigationopendate,
fact_highweedsandgrassdetails.investigationopendateid,
Cast(Datediff([day],
fact_highweedsandgrassdetails.investigationopendatetime,
CASE
WHEN
( vendormoweddatetime IS NOT NULL
AND vendormoweddatetime <=
fact_highweedsandgrassdetails.casecloseddate ) THEN
fact_highweedsandgrassdetails.vendormoweddatetime
ELSE
CASE
WHEN (
fact_highweedsandgrassdetails.casecloseddate
IS NOT NULL
AND
fact_highweedsandgrassdetails.casecloseddate <=
fact_highweedsandgrassdetails.recordimportdatetime )
THEN
fact_highweedsandgrassdetails.casecloseddate
ELSE
fact_highweedsandgrassdetails.recordimportdatetime
END
END) AS NUMERIC(9, 2)),
Cast(Datediff(ss,
fact_highweedsandgrassdetails.investigationopendatetime,
CASE
WHEN
COALESCE (vendormoweddatetime,
fact_highweedsandgrassdetails.casecloseddate) IS
NOT NULL THEN COALESCE (vendormoweddatetime,
fact_highweedsandgrassdetails.casecloseddate)
ELSE
CASE
WHEN
( fact_highweedsandgrassdetails.casecloseddate IS NOT NULL
AND fact_highweedsandgrassdetails.casecloseddate <=
fact_highweedsandgrassdetails.recordimportdatetime ) THEN
fact_highweedsandgrassdetails.casecloseddate
ELSE fact_highweedsandgrassdetails.recordimportdatetime
END
END) AS NUMERIC(18, 2)) * 60,
fact_casedetails.assigneddepartment,
COALESCE (fact_casedetails.assignedstaff, '[null]')
+ '/'
+ COALESCE (fact_casedetails.assigneddepartment, '[null]'),
fact_highweedsandgrassdetails.casecloseddate,
fact_highweedsandgrassdetails.receiveddatetime,
fact_highweedsandgrassdetails.assignedtovendordate,
fact_highweedsandgrassdetails.vendorinvoiceamount,
fact_highweedsandgrassdetails.invoicedstatusdate,
fact_highweedsandgrassdetails.complaint_source,
fact_highweedsandgrassdetails.inspection_result,
fact_highweedsandgrassdetails.reason_for_complaint,
fact_highweedsandgrassdetails.contractcompliancevendor,
fact_highweedsandgrassdetails.vendor_action,
fact_highweedsandgrassdetails.date_of_complaint_id,
fact_highweedsandgrassdetails.date_of_inspection_id,
CONVERT(INT, Replace(
Replace(fact_highweedsandgrassdetails.casenumber, 'HWG', 0)
, '-', 0)),
fact_highweedsandgrassdetails.maccomments,
dbo.dim_highweedscensustracts.b1_census_tract) AS
[High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS]
ORDER BY [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[compliancejoin]
ASC
SVI just counted the columns from the top:
1) compliancejoin, 2) mowingsector, 3) caseclosedflag, 4) casehasvendorinfo, 5) mowingstatus, 6) assignedtovendor.
I see now that your subject line talks about column 6, but you say column 5 in body of your original post.
I don't know anything about cubes, but apparently there is some mapping problem when you run it from SSAS. (I assume it is SSAS, a part of the product I'm entirely ignorant of.) I figured that if you had got tripped by the zero-based numbering, you
might be staring on the wrong column.
Erland Sommarskog, SQL Server MVP, [email protected]
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