How to fetch the Date column(or Month column) from the file name from the specified path in ODI 11g
Hi ALL,
Can any one help us regarding How to fecth the Date column(or month column) from the file name specified in the path in a generalized way .
For example :
file name is :subscribers (Cost) Sep13.csv is specified in the below path
E:\Accounting\documents\subscribers (Cost) Sep13.csv
here I need to fetch the "Sep13" as a Date column in the ODI 11g in the generalized way.
Can any one help us in this case as early as possible.
I would suggest using a piece of Jython code for this. Something like this...
import os
import os.path
filelist = os.listdir(E:\Accounting\documents\)
for file in filelist:
datestr = file[19:-4]
You'd need to work out what to do with datestr next... perhaps write it to a table or update an ODI variable with it.
Hope this is of some help.
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How do i map from file name to the device it resides on
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i need to find a way to map from a file name to the disk device it resides on( so i can do ioctl to that device ).
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How to find the Data Type of a column
Dear All,
How to find the Data Type of a Column dynamically in oracle Form.
Thanks and Regards,
Fazil
Edited by: user11334489 on Aug 25, 2012 9:06 PMhi,
you can use get_item_property built-in
eg:
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l_item VARCHAR2(10);
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How to transpose the data records (rows) to column(lists) using apd
Hi,
how to transpose the data records (rows) to column (lists) using apd in sap bw.
I do not want to use abap routine.only use the transpose rows to list transformation .
Pls provide the step by step procedure .
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NimaiSave youe file to transpose as a csv and in the header row of your file for the columns you want to transpose you need to put some soer of a tag before the column name (ie your colum header was for a period budget will be something lie 2011001:ZFIBDD)
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2. Insert a "Read from Data File" data source object and map it file (,csv)
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How to retrieve the data type of a column of a table?
Hi,
I want to retrieve the data type of a column of a table. At the moment I am querying "OCI_ATTR_DATA_TYPE" attribute but it is returning SQLT_CHR for both varchar2 and nvarchar2 data type columns. I need to distinguish between these two data types columns separately. Is there any API through which I could get the exact data type of a column i.e. "nvarchar2"?
Thanks in advance.
HashimHi,
This is the Oracle C++ Call Interface (OCCI) forum - I'm not sure if you are using OCCI or OCI (Oracle Call Interface - the C interface) since you reference "OCI_ATTR_DATA_TYPE" which is more of an OCI focus than OCCI.
In any case, you might take a look at "OCI_ATTR_CHARSET_FORM" which takes the following values:
#define SQLCS_IMPLICIT 1 /* for CHAR, VARCHAR2, CLOB w/o a specified set */
#define SQLCS_NCHAR 2 /* for NCHAR, NCHAR VARYING, NCLOB */So, if you have a datatype of SQLT_CHR and OCI_ATTR_CHARSET_FORM is SQLCS_IMPLICIT then you have a varchar2 if it is SQLCS_NCHAR then you have an nvarchar2.
If you are using OCCI and not OCI then take a look at MetaData::ATTR_DATA_TYPE and MetaData::ATTR_CHARSET_FORM which expose OCI_ATTR_DATA_TYPE and OCI_ATTR_CHARSET_FORM respectively.
Perhaps that will get you what you want.
Regards,
Mark -
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 -
Hi how to apply Chronological sort for a month column?
Hi All,
I am struck with how to apply Chronological sort for a month column that contains values like January, February, March, April, May, June.... December. If we apply normal sorting then we can arrange the column values either in ascending order or descending order. But i want the column values to be in this format like jan, feb, mar,apr....dec. Is it possible???
If this is possible then pls tell me the way in a step wise manner for my better understanding..
Thanks in Advance
ThenmozhiHi Deva,
I tried with the below formula :
CASE WHEN
"Order Booked Date Calendar"."Full Month Name (Order Booked)"='January' THEN 1 WHEN
"Order Booked Date Calendar"."Full Month Name (Order Booked)"='February' THEN 2 WHEN
"Order Booked Date Calendar"."Full Month Name (Order Booked)"='March' THEN 3 WHEN
"Order Booked Date Calendar"."Full Month Name (Order Booked)"='April' THEN 4 WHEN
"Order Booked Date Calendar"."Full Month Name (Order Booked)"='May' THEN 5 WHEN
"Order Booked Date Calendar"."Full Month Name (Order Booked)"='June' THEN 6 WHEN
"Order Booked Date Calendar"."Full Month Name (Order Booked)"='July' THEN 7 WHEN
"Order Booked Date Calendar"."Full Month Name (Order Booked)"='August' THEN 8 WHEN
"Order Booked Date Calendar"."Full Month Name (Order Booked)"='September' THEN 9 WHEN
"Order Booked Date Calendar"."Full Month Name (Order Booked)"='October' THEN 10 WHEN
"Order Booked Date Calendar"."Full Month Name (Order Booked)"='November' THEN 11 WHEN
"Order Booked Date Calendar"."Full Month Name (Order Booked)"='December' THEN 12 ELSE '' END
But it is showing the error like this:
Error Details
Error Codes: OPR4ONWY:U9IM8TAC:OI2DL65P
State: HY000. Code: 10058. [NQODBC] [SQL_STATE: HY000] [nQSError: 10058] A general error has occurred. [nQSError: 43113] Message returned from OBIS. [nQSError: 43119] Query Failed: [nQSError: 17001] Oracle Error code: 604, message: ORA-00604: error occurred at recursive SQL level 1 ORA-06502: PL/SQL: numeric or value error: character string buffer too small ORA-06512: at line 8 ORA-00932: inconsistent datatypes: expected NUMBER got CHAR at OCI call OCIStmtExecute. [nQSError: 17010] SQL statement preparation failed. (HY000)
What it is problem? Please help me...
Thanks -
Dear Sir or Madam,
I have a problem when I am implementing MAC protocols by using LabVIEW and USRP2. Actually there are two problem, I will show them in a simple CSMA protocol.
The first design is that in CSMA protocol, node 1 sent a data packet to node 2, and node 2 received the packet, analyzed it, and sent back a corresponding ACK. The problem is, node 2 need to switch between receiving mode (to receive the packet) and transmitting mode (to sent ACK back), and the switching time is non-neglectable (around 7 to 10 ms). That delay significantly decreases system performance. Is that any way to reduce the switching time?
The second problem is rising after the first one. To overcome the time delay, I use two antennas in the system, therefore one can always work in Tx mode and another in Rx mode therefore no switching is needed. The block diagram is simplified as figure (if transmitter mode is set to false, then the receiving VI works by using another antenna).
The problem is, since we are using if structure, there is noway that transmitting and receiving can work concurrently. However, nodes always receive the signal it sent in the last while loop round. For example, after receiving a DATA packet from another node, this node sends a ACK back, and then the transmitter mode are switching to false then I can receive next packet. However, after sending the ACK, and switching to reception mode, I can receive the ACK I sent myself! That is my question, how does fetch Rx Data VI works?
Thank you very much!Hi HustLiliAn,
Thank you very much for you quick reply. I have to say sorry that my code is only partially belonging to me so I cannot distribute all of them, beg your understanding
To overcome the delay, I open both Tx and Rx session at the beginning of the code so I don't need to initial and abort session before and after using respectively. It could save a lot of time (I measure the same delay as you shown). I read from WBX application notes (http://files.ettus.com/uhd_docs/manual/html/dboards.html) that if the system is working in the duplex mode, then antenna TX/RX is using for transmission and RX2 is using for reception. I simply tested it and it seems true.
Since two antennas are working concurrently, the receiving antenna (RX2) can receive packet even it is sent by TX/RX. My problem is, in software level I have used the if structure to make transmission and reception work successively, RX2 can still receive signal sent by TX/RX. That is the real problem. Probably we can write some compensation VI which we can remove it by using the transmitted signal, but I still want to know is there any official solution for it.
BTW, I use the modulation toolkit. Its demodulation VI is also quite slow.
Thank you for your reading. I am not a native English speaker, so if my post make you confuse, please let me know and I would like to elaborate it again. -
Generate all the dates for given month
Hi all,
How can I generate all the dates for given month? For example If I give Feb-2008 then it should display all the dates from 01/02/2008 to 29/02/2007
Thanks,
SujnanThis question was expanded (and answered) at
Monthly Report
You can also search for "all days in month". -
How to fetch MIR4 data based on MB51 refrence number
hi Experts.
i want to fetch MIR4 data based on MB51 refrence number.
I want to fetch below fileds in MIR4 TCODE.
1. RBKP-BELNR (Invoice Document NUMBER)
2. DRSEG-MENGE ( quantity )
3. DRSEG-WRBTR ( Amount in document currency)
As mentioned above DRSEG is structure.
please help me how to fetch 3 data fileds based on my MB51 refrence.( mkpf-xblnr ).
In MIR4 , Number of External Delivery Note( DRSEG-XBLNR ) is same as my MB51 refrence ( mkpf-xblnr).
This is the only link avilable to fetch above 3 fields.
kindly give any suggestions .
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hari priyaHi ,
can anybody give me suggestions .
What is the table name for fetching above 3 fileld data .
DRSEG is structure .
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Hari priya -
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] -
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.)
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