Date Difference in same column
select to_char(CREATEDON,'DD-MM-YYYY HH24:MM:SS'),LABSTATUS,REMARKS from history_paperlesstran
where hnum='797551D' order by to_char(CREATEDON,'DD-MM-YYYY HH24:MM:SS');
Rownum TO_CHAR(CREATEDON,' LABSTATUS REMARKS
1 20-10-2010 08:10:08 1 Barcode number generated and printed
2 20-10-2010 08:10:08 1 Barcode number generated and printed
3 20-10-2010 08:10:08 1 Barcode number generated and printed
4 20-10-2010 08:10:08 1 Barcode number generated and printed
5 20-10-2010 08:10:08 1 Barcode number generated and printed
6 20-10-2010 08:10:08 1 Barcode number generated and printed
7 20-10-2010 09:10:55 3 Recieved in department
8 20-10-2010 09:10:58 3 Recieved in department
9 20-10-2010 09:10:58 3 Recieved in department
10 20-10-2010 09:10:58 3 Recieved in department
11 20-10-2010 09:10:58 3 Recieved in department
12 20-10-2010 10:10:38 3 Recieved in department
13 20-10-2010 11:10:34 1 Barcode number generated and printed
14 20-10-2010 11:10:34 1 Barcode number generated and printed
15 20-10-2010 11:10:35 3 Recieved in department
16 20-10-2010 12:10:08 3 Recieved in department
17 20-10-2010 14:10:03 1 Barcode number generated and printed
18 20-10-2010 14:10:44 3 Recieved in department
18 rows selected.
Dear Friends, Now i want to get the date difference on labstatus based,i.e rownum1 - rownum7, rownum2 - rownum8, and rownum17 - rownum18
Thing is Barcode number generated and printed - Recieved in department for each & every samples.
Advance thanks for your solution...
Edited by: bharathit on Oct 21, 2010 2:18 AM
You mean something like this?
SQL> ed
Wrote file afiedt.buf
1 with t as (select 1 as rn, to_date('20-10-2010 08:10:08', 'DD-MM-YYYY HH24:MI:SS') as dt, 1 as labstatus, 'Barcode number generated and printed' as comments from dual union all
2 select 2, to_date('20-10-2010 08:10:08','DD-MM-YYYY HH24:MI:SS'), 1, 'Barcode number generated and printed' from dual union all
3 select 3, to_date('20-10-2010 08:10:08','DD-MM-YYYY HH24:MI:SS'), 1, 'Barcode number generated and printed' from dual union all
4 select 4, to_date('20-10-2010 08:10:08','DD-MM-YYYY HH24:MI:SS'), 1, 'Barcode number generated and printed' from dual union all
5 select 5, to_date('20-10-2010 08:10:08','DD-MM-YYYY HH24:MI:SS'), 1, 'Barcode number generated and printed' from dual union all
6 select 6, to_date('20-10-2010 08:10:08','DD-MM-YYYY HH24:MI:SS'), 1, 'Barcode number generated and printed' from dual union all
7 select 7, to_date('20-10-2010 09:10:55','DD-MM-YYYY HH24:MI:SS'), 3, 'Recieved in department' from dual union all
8 select 8, to_date('20-10-2010 09:10:58','DD-MM-YYYY HH24:MI:SS'), 3, 'Recieved in department' from dual union all
9 select 9, to_date('20-10-2010 09:10:58','DD-MM-YYYY HH24:MI:SS'), 3, 'Recieved in department' from dual union all
10 select 10, to_date('20-10-2010 09:10:58','DD-MM-YYYY HH24:MI:SS'), 3, 'Recieved in department' from dual union all
11 select 11, to_date('20-10-2010 09:10:58','DD-MM-YYYY HH24:MI:SS'), 3, 'Recieved in department' from dual union all
12 select 12, to_date('20-10-2010 10:10:38','DD-MM-YYYY HH24:MI:SS'), 3, 'Recieved in department' from dual union all
13 select 13, to_date('20-10-2010 11:10:34','DD-MM-YYYY HH24:MI:SS'), 1, 'Barcode number generated and printed' from dual union all
14 select 14, to_date('20-10-2010 11:10:34','DD-MM-YYYY HH24:MI:SS'), 1, 'Barcode number generated and printed' from dual union all
15 select 15, to_date('20-10-2010 11:10:35','DD-MM-YYYY HH24:MI:SS'), 3, 'Recieved in department' from dual union all
16 select 16, to_date('20-10-2010 12:10:08','DD-MM-YYYY HH24:MI:SS'), 3, 'Recieved in department' from dual union all
17 select 17, to_date('20-10-2010 14:10:03','DD-MM-YYYY HH24:MI:SS'), 1, 'Barcode number generated and printed' from dual union all
18 select 18, to_date('20-10-2010 14:10:44','DD-MM-YYYY HH24:MI:SS'), 3, 'Recieved in department' from dual)
19 --
20 -- END OF TEST DATA
21 --
22 ,x as (select rn, dt, labstatus, comments, row_number() over (partition by labstatus order by rn) as labrn from t)
23 --
24 select y.rn as rn1, y.dt as dt1, z.rn as rn2, z.dt as dt2, round((z.dt - y.dt)*24*60) as mins_diff
25 from x y join x z on (y.labrn = z.labrn)
26 where y.labstatus = 1
27* and z.labstatus = 3
SQL> /
RN1 DT1 RN2 DT2 MINS_DIFF
1 20/10/2010 08:10:08 7 20/10/2010 09:10:55 61
2 20/10/2010 08:10:08 8 20/10/2010 09:10:58 61
3 20/10/2010 08:10:08 9 20/10/2010 09:10:58 61
4 20/10/2010 08:10:08 10 20/10/2010 09:10:58 61
5 20/10/2010 08:10:08 11 20/10/2010 09:10:58 61
6 20/10/2010 08:10:08 12 20/10/2010 10:10:38 121
13 20/10/2010 11:10:34 15 20/10/2010 11:10:35 0
14 20/10/2010 11:10:34 16 20/10/2010 12:10:08 60
17 20/10/2010 14:10:03 18 20/10/2010 14:10:44 1
9 rows selected.
SQL>
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How to Select data using same column name from 3 remote database
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Ex.
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SQL> select * from (dual, dual) d;
select * from (dual, dual) d
ERROR at line 1:
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I want to know the difference between Days column and Day1 Column
Hi All,
I used this query:
SELECT to_char(return_date_time,'dd/mon/yyyy hh24:mi:ss') Test,
DECODE ('I', 'I', DECODE (1, NULL, NULL, 0, NULL, SYSDATE + 1)) Days,
DECODE ('I', 'I', SYSDATE + 1) Day1
FROM fm_curr_locn
WHERE patient_id = 'DU00002765'
output:
Test
Days
Day1
26/oct/2013 00:00:00
26-OCT-13
10/26/2013 3:06:59 PM
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Please anyone help.....
Regards
Shagar MPleiadian wrote:
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The format of decode is:
decode(expression, search1, result1, search2, result2, searchn, resultn, default)
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I can replicate the 'issue' in Toad, and it's rectified if we cast the first returned value of the decode statement...
SELECT DECODE ('I', 'I', DECODE (1, NULL, CAST(NULL AS DATE), 0, NULL, SYSDATE + 1)) Days,
DECODE ('I', 'I', SYSDATE + 1) Day1
FROM dual -
Selecting same column twice makes query slow
Hello,
Has anybody any idea why following statement is slow when selecting the
DATA_TYPE column twice?
SELECT S.OWNER,
S.SYNONYM_NAME,
UCOL.COLUMN_NAME,
UCOL.DATA_TYPE,
UCOL.DATA_TYPE,
UCOL.DATA_LENGTH,
COLUMN_ID
FROM ALL_SYNONYMS S,
ALL_TAB_COLUMNS UCOL
WHERE S.TABLE_OWNER = UCOL.OWNER
AND S.TABLE_NAME = UCOL.TABLE_NAME
and S.owner = 'REPORTING_TEST'
and S.SYNONYM_NAME = 'OV_COMMERCIAL_ENTITY_JN'
Replace the owner and table name with one of your own.
If you take one of the DATA_TYPE's out the select is much faster.
Why, I hear you ask, do you select the same column twice?
Well, it's not me. It's BusinessObjects when it does a structure refresh it
produces a statement similar to the one above except that one of the
DATA_TYPE's is a SUBSTR + DECODE (however they in themselves
have virtually no impact on the statement). I just find it weird that repeating
a column twice can have such a dramatic impact on performance.
I'm not a tuning expert and have looked at EXPLAIN PLAN outputs but can't
make head nor tail of them.
Thanks,
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If it tells you anything, below both explain plans. The main difference that I noticed is the full table scan on USER$ for the first query. The second one (although a more elaborate execution plan) seems to use indexes more.
Don't spend too much time on this. I've found a workaround where I create temporary tables for ALL_SYNONYMS and ALL_TAB_COLUMNS and re-direct the public synonyms to point at those. After I've done what I wanted to do with BusinessObjects, I restore the original public synonyms. Next thing I'll try is rebuilding my database from scratch and see if the problem is still there.
Apologies if the listings come out in variable font (how do you paste fixed font?).
=== SQL1 ====================================================
EXPLAIN PLAN FOR
SELECT UCOL.COLUMN_NAME,
UCOL.DATA_TYPE,
UCOL.DATA_TYPE
FROM ALL_SYNONYMS S,
ALL_TAB_COLUMNS UCOL
WHERE S.TABLE_OWNER = UCOL.OWNER
AND S.TABLE_NAME = UCOL.TABLE_NAME
AND S.owner = 'REPORTING_TEST'
AND S.SYNONYM_NAME = 'OV_COMMERCIAL_ENTITY_JN'
Explained.
Elapsed: 00:00:00.04
SQL> @E:\Oracle\Product\10.2.0\db_1\RDBMS\ADMIN\utlxpls.sql
Plan hash value: 1692851197
| Id | Operation | Name |
| 0 | SELECT STATEMENT | |
| 1 | NESTED LOOPS | |
| 2 | NESTED LOOPS | |
| 3 | NESTED LOOPS | |
| 4 | TABLE ACCESS BY INDEX ROWID | USER$ |
|* 5 | INDEX UNIQUE SCAN | I_USER1 |
| 6 | VIEW | ALL_TAB_COLUMNS |
|* 7 | FILTER | |
| 8 | NESTED LOOPS OUTER | |
| 9 | NESTED LOOPS OUTER | |
| 10 | NESTED LOOPS OUTER | |
| 11 | NESTED LOOPS OUTER | |
| 12 | NESTED LOOPS | |
| 13 | NESTED LOOPS | |
| 14 | TABLE ACCESS FULL | USER$ |
| 15 | TABLE ACCESS BY INDEX ROWID| OBJ$ |
|* 16 | INDEX RANGE SCAN | I_OBJ2 |
|* 17 | TABLE ACCESS CLUSTER | COL$ |
|* 18 | INDEX UNIQUE SCAN | I_OBJ# |
|* 19 | TABLE ACCESS CLUSTER | COLTYPE$ |
|* 20 | INDEX RANGE SCAN | I_HH_OBJ#_INTCOL# |
|* 21 | TABLE ACCESS BY INDEX ROWID | OBJ$ |
|* 22 | INDEX RANGE SCAN | I_OBJ3 |
| 23 | TABLE ACCESS CLUSTER | USER$ |
|* 24 | INDEX UNIQUE SCAN | I_USER# |
|* 25 | TABLE ACCESS CLUSTER | TAB$ |
|* 26 | INDEX UNIQUE SCAN | I_OBJ# |
| 27 | NESTED LOOPS | |
| 28 | FIXED TABLE FULL | X$KZSRO |
|* 29 | INDEX RANGE SCAN | I_OBJAUTH2 |
|* 30 | FIXED TABLE FULL | X$KZSPR |
|* 31 | TABLE ACCESS BY INDEX ROWID | OBJ$ |
|* 32 | INDEX RANGE SCAN | I_OBJ2 |
|* 33 | TABLE ACCESS BY INDEX ROWID | SYN$ |
|* 34 | INDEX UNIQUE SCAN | I_SYN1 |
Predicate Information (identified by operation id):
5 - access("U"."NAME"='REPORTING_TEST')
7 - filter(("O"."TYPE#"=3 OR "O"."TYPE#"=4 OR "O"."TYPE#"=2 AND NOT
EXISTS (SELECT 0 FROM "SYS"."TAB$" "T" WHERE "T"."OBJ#"=:B1 AND
(BITAND("T"."PROPERTY",512)=512 OR BITAND("T"."PROPERTY",8192)=8192)))
AND ("O"."OWNER#"=USERENV('SCHEMAID') OR EXISTS (SELECT 0 FROM
"SYS"."OBJAUTH$" "OBJAUTH$",SYS."X$KZSRO" "X$KZSRO" WHERE "OBJ#"=:B2
AND "GRANTEE#"="KZSROROL") OR EXISTS (SELECT 0 FROM SYS."X$KZSPR"
"X$KZSPR" WHERE "INST_ID"=USERENV('INSTANCE') AND ((-"KZSPRPRV")=(-45)
OR (-"KZSPRPRV")=(-47) OR (-"KZSPRPRV")=(-48) OR (-"KZSPRPRV")=(-49) OR
(-"KZSPRPRV")=(-50)))))
16 - access("O"."OWNER#"="U"."USER#")
17 - filter(DECODE("C"."PROPERTY",0,'NO',DECODE(BITAND("C"."PROPERTY",
32),32,'YES','NO'))='NO')
18 - access("O"."OBJ#"="C"."OBJ#")
19 - filter("C"."INTCOL#"="AC"."INTCOL#"(+))
20 - access("C"."OBJ#"="H"."OBJ#"(+) AND
"C"."INTCOL#"="H"."INTCOL#"(+))
21 - filter("OT"."TYPE#"(+)=13)
22 - access("AC"."TOID"="OT"."OID$"(+))
24 - access("OT"."OWNER#"="UT"."USER#"(+))
25 - filter(BITAND("T"."PROPERTY",512)=512 OR
BITAND("T"."PROPERTY",8192)=8192)
26 - access("T"."OBJ#"=:B1)
29 - access("GRANTEE#"="KZSROROL" AND "OBJ#"=:B1)
30 - filter("INST_ID"=USERENV('INSTANCE') AND ((-"KZSPRPRV")=(-45) OR
(-"KZSPRPRV")=(-47) OR (-"KZSPRPRV")=(-48) OR (-"KZSPRPRV")=(-49) OR
(-"KZSPRPRV")=(-50)))
31 - filter("O"."TYPE#"=5)
32 - access("O"."OWNER#"="U"."USER#" AND
"O"."NAME"='OV_COMMERCIAL_ENTITY_JN')
33 - filter("S"."NAME"="UCOL"."TABLE_NAME" AND
"S"."OWNER"="UCOL"."OWNER")
34 - access("O"."OBJ#"="S"."OBJ#")
Note
- rule based optimizer used (consider using cbo)
=== SQL2 ====================================================
EXPLAIN PLAN FOR
SELECT UCOL.COLUMN_NAME,
UCOL.DATA_TYPE
FROM ALL_SYNONYMS S,
ALL_TAB_COLUMNS UCOL
WHERE S.TABLE_OWNER = UCOL.OWNER
AND S.TABLE_NAME = UCOL.TABLE_NAME
AND S.owner = 'REPORTING_TEST'
AND S.SYNONYM_NAME = 'OV_COMMERCIAL_ENTITY_JN'
Explained.
SQL>
SQL> @E:\Oracle\Product\10.2.0\db_1\RDBMS\ADMIN\utlxpls.sql
Plan hash value: 3285788911
| Id | Operation | Name |
| 0 | SELECT STATEMENT | |
| 1 | TABLE ACCESS BY INDEX ROWID | OBJ$ |
|* 2 | INDEX UNIQUE SCAN | I_OBJ1 |
| 3 | TABLE ACCESS BY INDEX ROWID | OBJ$ |
|* 4 | INDEX UNIQUE SCAN | I_OBJ1 |
| 5 | TABLE ACCESS BY INDEX ROWID | OBJ$ |
|* 6 | INDEX UNIQUE SCAN | I_OBJ1 |
| 7 | TABLE ACCESS BY INDEX ROWID | OBJ$ |
|* 8 | INDEX UNIQUE SCAN | I_OBJ1 |
| 9 | TABLE ACCESS BY INDEX ROWID | OBJ$ |
|* 10 | INDEX UNIQUE SCAN | I_OBJ1 |
|* 11 | FILTER | |
| 12 | NESTED LOOPS OUTER | |
| 13 | NESTED LOOPS OUTER | |
| 14 | NESTED LOOPS OUTER | |
| 15 | NESTED LOOPS OUTER | |
| 16 | NESTED LOOPS | |
| 17 | NESTED LOOPS | |
| 18 | NESTED LOOPS | |
| 19 | NESTED LOOPS | |
| 20 | NESTED LOOPS | |
| 21 | TABLE ACCESS BY INDEX ROWID| USER$ |
|* 22 | INDEX UNIQUE SCAN | I_USER1 |
|* 23 | TABLE ACCESS BY INDEX ROWID| OBJ$ |
|* 24 | INDEX RANGE SCAN | I_OBJ2 |
| 25 | TABLE ACCESS BY INDEX ROWID | SYN$ |
|* 26 | INDEX UNIQUE SCAN | I_SYN1 |
| 27 | TABLE ACCESS BY INDEX ROWID | USER$ |
|* 28 | INDEX UNIQUE SCAN | I_USER1 |
| 29 | TABLE ACCESS BY INDEX ROWID | OBJ$ |
|* 30 | INDEX RANGE SCAN | I_OBJ2 |
|* 31 | TABLE ACCESS CLUSTER | COL$ |
|* 32 | INDEX UNIQUE SCAN | I_OBJ# |
|* 33 | TABLE ACCESS CLUSTER | COLTYPE$ |
|* 34 | INDEX RANGE SCAN | I_HH_OBJ#_INTCOL# |
|* 35 | TABLE ACCESS BY INDEX ROWID | OBJ$ |
|* 36 | INDEX RANGE SCAN | I_OBJ3 |
| 37 | TABLE ACCESS CLUSTER | USER$ |
|* 38 | INDEX UNIQUE SCAN | I_USER# |
|* 39 | TABLE ACCESS CLUSTER | TAB$ |
|* 40 | INDEX UNIQUE SCAN | I_OBJ# |
| 41 | NESTED LOOPS | |
| 42 | FIXED TABLE FULL | X$KZSRO |
|* 43 | INDEX RANGE SCAN | I_OBJAUTH2 |
|* 44 | FIXED TABLE FULL | X$KZSPR |
Predicate Information (identified by operation id):
2 - access("O"."OBJ#"=:B1)
4 - access("O"."OBJ#"=:B1)
6 - access("O"."OBJ#"=:B1)
8 - access("O"."OBJ#"=:B1)
10 - access("O"."OBJ#"=:B1)
11 - filter(("O"."TYPE#"=3 OR "O"."TYPE#"=4 OR "O"."TYPE#"=2 AND NOT
EXISTS (SELECT 0 FROM "SYS"."TAB$" "T" WHERE "T"."OBJ#"=:B1 AND
(BITAND("T"."PROPERTY",512)=512 OR BITAND("T"."PROPERTY",8192)=8192)))
AND ("O"."OWNER#"=USERENV('SCHEMAID') OR EXISTS (SELECT 0 FROM
"SYS"."OBJAUTH$" "OBJAUTH$",SYS."X$KZSRO" "X$KZSRO" WHERE "OBJ#"=:B2
AND "GRANTEE#"="KZSROROL") OR EXISTS (SELECT 0 FROM SYS."X$KZSPR"
"X$KZSPR" WHERE "INST_ID"=USERENV('INSTANCE') AND ((-"KZSPRPRV")=(-45)
OR (-"KZSPRPRV")=(-47) OR (-"KZSPRPRV")=(-48) OR (-"KZSPRPRV")=(-49) OR
(-"KZSPRPRV")=(-50)))))
22 - access("U"."NAME"='REPORTING_TEST')
23 - filter("O"."TYPE#"=5)
24 - access("O"."OWNER#"="U"."USER#" AND
"O"."NAME"='OV_COMMERCIAL_ENTITY_JN')
26 - access("O"."OBJ#"="S"."OBJ#")
28 - access("S"."OWNER"="U"."NAME")
30 - access("O"."OWNER#"="U"."USER#" AND "S"."NAME"="O"."NAME")
31 - filter(DECODE("C"."PROPERTY",0,'NO',DECODE(BITAND("C"."PROPERTY",
32),32,'YES','NO'))='NO')
32 - access("O"."OBJ#"="C"."OBJ#")
33 - filter("C"."INTCOL#"="AC"."INTCOL#"(+))
34 - access("C"."OBJ#"="H"."OBJ#"(+) AND
"C"."INTCOL#"="H"."INTCOL#"(+))
35 - filter("OT"."TYPE#"(+)=13)
36 - access("AC"."TOID"="OT"."OID$"(+))
38 - access("OT"."OWNER#"="UT"."USER#"(+))
39 - filter(BITAND("T"."PROPERTY",512)=512 OR
BITAND("T"."PROPERTY",8192)=8192)
40 - access("T"."OBJ#"=:B1)
43 - access("GRANTEE#"="KZSROROL" AND "OBJ#"=:B1)
44 - filter("INST_ID"=USERENV('INSTANCE') AND ((-"KZSPRPRV")=(-45) OR
(-"KZSPRPRV")=(-47) OR (-"KZSPRPRV")=(-48) OR (-"KZSPRPRV")=(-49) OR
(-"KZSPRPRV")=(-50)))
Note
- rule based optimizer used (consider using cbo) -
How to find the difference of two columns in deski
Hi Everyone,
I have a deski report which is build from a single query. The report contains two tables.
Table-1:MTK Loc
MTKnet
Table-2:WTK Loc
WTKnet
Now i need to find the difference of the columns WTKnet and MTKnet.
These two are report level variables.Their definitins are as below:
MTKnet:=Sum((<Fees Collected by Per Collected>) In Body) ForEach <vMTKLocation>
WTKnet:=Sum((<Fees Collected by Per Collected>) In Body) ForEach <vWTKLocation>
Where <Fees Collected by Per Collected> is universe variable.
Please help...
Thanks in Advance......Hi Bol,
As I understand you are taking MTK_Loc and WTK_Loc together in the report which have common values under Fees Collected by Per Collected column.
Please follow the steps mentioned below:
1. Calculate the Variables MTK_Net as
=Sum(<Fees>) IN <MTK_Loc>
2. Calculate the Variables WTK_Net as
=Sum(<Fees>) IN <WTK_Loc>
3. You will get the values based on the Locations MTK_Loc and WTK_Loc .
You are using combination of values for MTK_Loc and WTK_Loc hence you will get the variable values in combination.
Insert new column right to the WTK_Net and write the formula name it Variance.
=<MTK_Net>- <WTK_Net>
The values look like :
MTK_Loc WTK_Loc MTK_Net WTK_Net Variance
Chicago Chicago 16,696,274.43 157,168.26 16,539,106.17
Chicago Madison 16,696,274.43 274,396.12 16,421,878.31
Chicago Milvaki 16,696,274.43 16,622,870.97 73,403.46
Chicago Pennsylvania 16,696,274.43 4,299.35 16,691,975.08
Chicago Waukesha 16,696,274.43 22,067.08 16,674,207.35
Here you will see values for MTK_Net are repeated because these are based on the MTK_Loc which is same for all rows i.e. Chicago , same is the case with remaining values of MTK_Loc.
We can not calculate variabnce based on the values like Canada,Pennsylvania for all values as these values come in combination of each other and as these are all connected columns WEBI groups Measure data based on the Dimension and variable columns associated with it.
MTK_Loc WTK_Loc MTK_Net WTK_Net Variance.
Chicago Chicago 16696274.43 157168.26 16539106.17
However you can compare the values based on the values as :
1. Drag and Drop MTK_Loc and MTK_Loc separately on the report.
2. Drag and Drop WTK_Loc and WTK_Loc separately and put it on the report, Connect it to the columns MTK_Loc and MTK_Loc columns already dragged. Then you can compare the values
MTK_Loc MTK_Net WTK_LOC WTK_Net
Chicago 16,696,274.43 Chicago 157,168.26
Madison 315,705.91 Madison 274,396.12
Manitowoc 362,632.50 Manitowoc 359,978.50
Milvaki 54,172.84 Milvaki 16,622,870.97
Pennsylvania 2,966.56 Pennsylvania 4,299.35
Waukesha 9,028.03 Waukesha 22,067.08
Here I unchecked the option avoid duplicate row aggregation (select table-> format table) thatu2019s why it is showing all values as a sum of all MTK_Net and WTK_Net values corresponding to Location values..
Here we are using MTK_Loc and WTK_Loc separately and not connected because though values seems same but they are used in combination ( Chicago, Pennsylvania) in 2 separate tables in DB hence we canu2019t synchronize them by liking these 2 location columns using 2 data providers.
I Hope this is what you want....
Thanks....
Pratik -
Hi,
I am calculating the date difference with the Formula variables.
My requirement is to find the rocords, where date difference is 0.
, Means same date.
But I am facing one problem while testing the query.
If for the two date , if both the columns are not having any value,
it contains # , and if I calculate the diffence of this,
This is also coming as 0 in the Date difference column.
Can somebody let me know how to rectify/avoid this situation?
Thanks , JeetuHi Jeetu,
According to your requirement, if record is there, there should be at leaset one date value say "Starting Date".
If "ending date" value is blank, the formula returns a junk/garbage value.
If both the date values are available, the formula returns the number of days corectly.
But, both the date values are blank, there should not be any record in such case. If you see this case in your data base,
that can be either wrong data record or you need to exclude such condition from your query.
Thanks,
Kiran. -
How to get two date difference in Day/hour/min/secs pl
First of all,
Hello to All, i am new to Oracle DB, but i have little experience in Other Database such as Sybase, sql server etc
please kindly help me
in DoctorChart table i have DocName,Id#,Citcotype,Medtype,AdmitDate,DischargeDate(both admitdate & Discharge date is date formatted columns)
so how can i get the below differenceTime (which means Dischargedate-Admit Date in below format i.e, Day,Hours,Minutes,Seconds...)
DoctorName, ID #, Citco type, MEDtype, DifferenceTime
========= === ======= ======= ===========
Dr. KindaEmesko, 20045, Replace OutCard, ICH, 0 day 9 hours 11 minutes
Dr. KindaEmesko, 20098, Replace OutCard, ICH, 1 day 2 hours 34 minutes
Dr. KindaEmesko, 20678, Replace OutCard, ICH, 2 day 23 hours 52 minutes
Dr. KindaEmesko, 20212, Replace OutCard, ICH, 4 day 1 hours 00 minutes
Dr. KindaEmesko, 20345, Replace OutCard, BED, 3 days 14 hours 15 minutes
Dr. KindaEmesko, 20678, Replace OutCard, BED, 9 days 21 hours 52 minutes
Dr. KindaEmesko, 20015, Signature Overlay, Rest, 0 days 3 hours 29 minutes
Dr. KindaEmesko, 45678, Signature Overlay, Rest, 0 days 1 hours 29 minutes
Same way how can i get the Average Time for the above result (without ID columns)
DoctorName, Citco type, MEDtype, Avg DifferenceTime
========= === ======= ======= ===========
Dr. KindaEmesko, Replace OutCard, ICH, 2 day 1 hours 00 minutes
Dr. KindaEmesko, Replace OutCard, BED, 6 days 17 hours 15 minutes
Dr. KindaEmesko, Signature Overlay, Rest, 0 days 2 hours 29 minutes
Please just tell me how to get the two dates difference as day/hour/minute format
as well as how to get avg ( two dates difference as day/hour/minute format)
Please Help me
Thanks in advanceWell, instead of all these suggested manipulations you can simply use intervals. Oracle uses day as a unit in date arithmetic, so Dischargedate-Admit Date is number od days between two dates. Built-in function numtodsinterval can be used to convert it into interval. For example:
SQL> with t as (
2 select trunc(sysdate) - 2 Admit_Date,
3 sysdate Discharge_Date
4 from dual
5 )
6 select numtodsinterval(Discharge_Date - Admit_Date,'DAY') Hospital_Stay
7 from t
8 /
HOSPITAL_STAY
+000000002 00:01:08.000000000
SQL> SY. -
I have a large number of photos imported into iPhoto with the dates wrong. How can I adjust multiple photos (with varying dates) to the same, correct, date?
If I understand you correctly, when you enter a date in the Adjust Date and Time window, the picture does not update with the date you enter. If that is the case then something is wrong with iPhoto or your perhaps your library.
How large a date change are you putting in? iPhoto currently has an issue with date changes beyond about 60 years at a time. If the difference between the current date on the image and the date you are entering is beyond that range that may explain why this is not working.
If that is not the case:
Remove the following to the trash and restart the computer and try again:
Home > Library > Caches > com.apple.iphoto
Home > Library > Preferences > com.apple.iPhoto (There may be more than one. Remove them all.)
---NOTE: to get to the "home > library" hold down option on the keyboard and click on "Go" > "Library" while in the Finder.
Let me know the results. -
How to display more than one data on the same page?
Hello all,
I have a question that is if I want to choose more one data on the same page and the data is selected from the same column.
I.E I want to tick more than one boxes in the page but the data is selected from the same column.Select all the item to burn... right click...
Or
Place all items into a folder and burn the folder to the disc.
Or
Make a Burn Folder in the Finder (place items into the folder) and burn from there to a disc. -
Is there a way to Insert Data into a Lookup Column Type on a SharePoint List Destination in SSIS?
Greetings.
I have successfully worked out inserting SQL data (2008 R2) into my 2010 SharePoint list (New, Update, Delete) by creating an SSIS Data Flow Task as outlined here:
http://fsugeiger.blogspot.com/2010/01/synchronise-sql-table-with-sharepoint.html
However, the problem I am running into is inserting data into the SharePoint Columns that are "Lookup" column types. I verified that all of the values I am copying from SQL into the SharePoint lookup column exist in the customn list it is pointing to. It
is important to have this column be a lookup column as it links to another custom list that has many more columns of related information.
I have read and re-read the SharePoint SSIS Adapters 2011.docx from
http://sqlsrvintegrationsrv.codeplex.com/ and the only section that seems to apply is this:
"Looking Up Values in a SharePoint List
If you have to look up a value in a SharePoint list, you can use the Lookup transformation in your data flow, and use the SharePoint List source to load the lookup table. You may have to add a Derived Column transformation or a Script component that splits
data in the lookup column on the ";#" delimiter to separate the ID value from the description.
If you are replacing values in your data with the values that you look up in the list, then loading the changed data back into SharePoint, you only have to include the ID from the lookup column. SharePoint ignores the description if you include it."
I am not sure if the above statement means that I should be passing the assocaited ID's other than the actual data into the SharePoint List destination. If that is the case, that will not really work as the lookup contains hundreds of rows. Not too mention
I have several of these lookup column types pointing to several different lists.
Any guidance in how I can put data into a SharePoint Lookup column type via Data Flow Task would be so much appreaciated.
Thank you.
My errors are:
Error: 0x0 at Data Flow Task, SharePoint List Destination: Error on row ID="1": 0x1 - Unspecified error, such as too many items being updated at once (batch), or an invalid core field value.
Error: 0xC0047062 at Data Flow Task, SharePoint List Destination [1903]: Microsoft.Samples.SqlServer.SSIS.SharePointListAdapters.PipelineProcessException: Errors detected in this component - see SSIS Errors at Microsoft.Samples.SqlServer.SSIS.SharePointListAdapters.SharePointListDestination.ProcessInput(Int32
inputID, PipelineBuffer buffer) at Microsoft.SqlServer.Dts.Pipeline.ManagedComponentHost.HostProcessInput(IDTSManagedComponentWrapper100 wrapper, Int32 inputID, IDTSBuffer100 pDTSBuffer, IntPtr bufferWirePacket)
Error: 0xC0047022 at Data Flow Task, SSIS.Pipeline: SSIS Error Code DTS_E_PROCESSINPUTFAILED. The ProcessInput method on component "SharePoint List Destination" (1903) failed with error code 0x80131500 while processing input "Component Input" (1912). The identified
component returned an error from the ProcessInput method. The error is specific to the component, but the error is fatal and willI have found a solution to my problem and thought I would share it here in case there are others who are struggling with the above scenario. If you have a better way, I would love to hear about it since my way is a bit tedious.
In a nutshell, in order to have an SSIS package put data from an OLE DB Source into a SharePoint List Destination Lookup Column, you need to pass the ID of the value that is being looked up, not the value that is in the “master” OLE DB source.
Rough explanation, OLE DB Source value for column “Approp” is “4005” --> SQL matches “4005” with the ID in the new lookup table (“4005” = ID “5” as defined in the SharePoint lookup list) --> “5” gets passed into SharePoint List destination lookup
column --> SharePoint displays “4005” and successfully links to the lookup list.
Funny thing (not really), the error(s) outlined in my original post are not related in getting data into a SharePoint Lookup column as I am now successful in getting data into the system but I am still getting the same above error(s). I think it has to do
with the ID column in the SharePoint list destination. What I can’t seem to figure out is why since I am not linking any data to that ID column (at least on new records). I am however linking it on Update and Delete and the errors mentioned above disappear
and things work well.
There are three tasks that need to get done in order to get data from SQL into a SharePoint lookup column assuming you have already set up your SharePoint lookup lists:
1. Create new lookup table(s) in SQL that has the IDs from the SharePoint Lookup list and the values coming from the “master” OLD DB Source. You can see the ID column in SharePoint by toggling it on in a view.
2. Create a SQL command that JOINs all the databases and tables so that the ID is passed and not the value into the SharePoint lookup column
3. Change the “Data access mode” to “SQL Command” instead of the “Table or view” in the OLE DB Source and paste your command into the “SQL command text:” area.
Other helpful info is that you may also need to add additional columns in the new lookup tables in SQL for the scenarios when the data is not unique. You can see this two times in my SQL command example for Units and JobTitles:
SELECT
pps.SSNm,
pps.file_updated,
pps.Employee_id,
/* pps.CheckDistNm,*/
Check_Distribution_id = COALESCE( d.ID, 0 ),
pps.Job_nbr,
pps.SeqNm,
pps.action_eff_dt,
Fund_id = COALESCE( f.id, 0 ),
Appropriation_id = COALESCE( ap.id, 0 ),
ActionCode_id = COALESCE( ac.id, 0 ),
SpecNumber_id = COALESCE( jt.ID, 0 ),
pps.Employee_id,
/* pps.Fund,
pps.Approp,
pps.Unit,*/
Unit_id = COALESCE( u.ID, 0 ),
PosNm,
PosCode,
pps.LastName,
pps.FirstName,
pps.MI
FROM
x_PPS.aReportVw.pps_screens_active AS pps
LEFT OUTER JOIN dbo.DistributionNumbers AS d ON
pps.CheckDistNm = d.Check_Distribution
LEFT OUTER JOIN dbo.Units AS u ON
pps.Fund = u.Fund AND
pps.Approp = u.Approp AND
pps.Unit = u.Unit
LEFT OUTER JOIN dbo.Appropriations AS ap ON
pps.Approp = ap.Approp
LEFT OUTER JOIN dbo.Funds AS f ON
pps.Fund = f.Fund
LEFT OUTER JOIN dbo.ActionCodes AS ac ON
pps.ActionCode = ac.ActionCode
LEFT OUTER JOIN dbo.JobTitles AS jt ON
pps.SpecNm = jt.SpecNumber AND
pps.JurisClass = jt.JurisClass -
SSRS 2008 R2 - Dynamic header data stays the same when exporting
Background:
I have a SSRS 2008 R2 report with a single Tablix.
The data is grouped by InvoiceID, with each appearing on a separate page.
I'm displaying some of the detail data in the group header row using Expressions similar to the following:
="Invoice # " & ReportItems!InvoiceID.Value"
The data referred to by my ReportItems statements are all hidden in the detail row (Advanced Mode, the Hidden Value for the Static Row Group is set to false).
Problem:
When I Preview the report in Visual Studio, everything looks as it should - the dynamic header data changes correctly with each group.
However, whenever I export the results (I've tried all the formats), the header data is the same for every group - its taking the values from the first group and using it in all the groups.
I've copied the same expressions into my Totals row, and the data is correct when exported; its only happening in my header rows.
Any help in resolving this is greatly appreciated, thank you.Hi Alex,
According to your description, you have a header with expression contains ReportItems. Now you find it shows incorrect result when exporting to a file. Right?
In Reporting Services, it has reported some similar issue that the ReportItem returns unexpected result when exporting. In this scenario, since you just want to show the group name in each page as a header for detail rows. So you can make the
detail rows group on the Group. Then delete the Group column but still keep the group. After that add a row above detail row (Out side of group) and put in "=Fields!InvoiceID.Value". Now it will show the corresponding Group name
when you set page break between each group instance. We have tested this case in our local environment. Here are screenshots for your reference:
Reference:
SSRS
field expressions using ReportItem refrences have unexpected results when exporting
If you have any question, please feel free to ask.
Best Regards,
Simon Hou -
Hi
I have two date columns and I want one logical column which contains difference of those two DATE columns.
But I found that we dont have any Date difference or Date Add functions in OBIEE Answers.
Can anyone tell me any work around for the Date ADD/DIFF functions?
Thanks
RadhaOr if you want database specific date functions, use EVALUATE and then specify the database functions. Check my blog entry here http://oraclebizint.wordpress.com/2007/09/10/oracle-bi-ee-10133-support-for-native-database-functions-and-aggregates/
Thanks,
Venkat
http://oraclebizint.wordpress.com -
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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