Generate Single Record That Shows Status Of Accounting Period For Multiple Groups?

Mar 26, 2015

I'm trying to generate a single record that shows the status of an accounting period for multiple groups. For a single accounting period they could all be the same, or all be different (open, closed, hold, etc)

What I want to do is select the accounting period with a group by that says if all the groups are in the same status, then that's the status. But if there are different status' for the period, I just want to have a single line that says 'Mixed' The query below returns 3 records, but I only want 2. I tried a CASE WHEN Having COUNT > 1 but it blew up with an aggregate subquery in a group by error.

DECLARE @AccountingPeriod Table
(AccountingPeriod varchar(10), Status char(1), GroupNum int)
Insert into @AccountingPeriod
Values('2015-03','O',1),
('2015-03','O',2),
('2015-03','O',3),
('2015-02','O',1),
('2015-02','O',2),
('2015-02','C',3)
Select AccountingPeriod, Status from @AccountingPeriod
GROUP BY AccountingPeriod, Status

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Dear all,

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Regards,

Pedro Martins

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Hello:

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ID1
ID2
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@record_date datetime, /*This is the date that we want to run this for.*/
@RWPY decimal(18,2), /*This is the required wins per year.*/
@OCPW decimal(18,2), /*This is the opportunities closed per week.*/
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@OCW decimal(18,2), /*This is the opportunities created per week.*/
@TOA decimal(18,2) /*This is the total number of opportunities in approach.*/

SET @login = 'GREP'
SET @record_date = '12/18/2007'
SET @RWPY = (SELECT ((SELECT annual_quota FROM #pipelinehist WHERE loginname = @login AND record_date = @record_date)/(SELECT target_deal FROM #pipelinehist WHERE loginname = @login AND record_date = @record_date)))
SET @OCPW = (SELECT @RWPY/weeks FROM #pipelinehist WHERE loginname = @login AND record_date = @record_date)
SET @OACW = (SELECT @OCPW/cls_perc_adv FROM #pipelinehist WHERE loginname = @login AND record_date = @record_date)
SET @TOC = (SELECT @OACW*(cls_time/7) FROM #pipelinehist WHERE loginname = @login AND record_date = @record_date)
SET @OANW = (SELECT @OACW/neg_perc_adv FROM #pipelinehist WHERE loginname = @login AND record_date = @record_date)
SET @TON = (SELECT @OANW*(neg_time/7) FROM #pipelinehist WHERE loginname = @login AND record_date = @record_date)
SET @OADW = (SELECT @OANW/dem_perc_adv FROM #pipelinehist WHERE loginname = @login AND record_date = @record_date)
SET @TOD = (SELECT @OADW*(dem_time/7) FROM #pipelinehist WHERE loginname = @login AND record_date = @record_date)
SET @OAIW = (SELECT @OADW/int_perc_adv FROM #pipelinehist WHERE loginname = @login AND record_date = @record_date)
SET @TOI = (SELECT @OAIW*(int_time/7) FROM #pipelinehist WHERE loginname = @login AND record_date = @record_date)
SET @OCW = (SELECT @OAIW/app_perc_adv FROM #pipelinehist WHERE loginname = @login AND record_date = @record_date)
SET @TOA = (SELECT @OCW*(app_time/7) FROM #pipelinehist WHERE loginname = @login AND record_date = @record_date)

SELECT loginname,
CAST(@TOA AS decimal(18,1)) AS [Opps in Approach],
app_time AS [Approach Average Time],
app_perc_adv AS [Approach Perc Adv],
CAST(@TOI AS decimal(18,1)) AS [Opps in Interview],
int_time AS [Interview Average Time],
int_perc_adv AS [Interview Perc Adv],
CAST(@TOD AS decimal(18,1)) AS [Opps in Demonstrate],
dem_time AS [Demonstrate Average Time],
dem_perc_adv AS [Demonstrate Perc Adv],
CAST(@TON AS decimal(18,1)) AS [Opps in Negotiate],
neg_time AS [Negotiate Average Time],
neg_perc_adv AS [Negotiate Perc Adv],
CAST(@TOC AS decimal(18,1)) AS [Opps In Close],
cls_time AS [Close Average Time],
cls_perc_adv AS [Close Perc Adv]
FROM #pipelinehist
WHERE loginname = @login AND record_date = @record_date

Here is some sample data to use with this. With this sample data what I want to get back is a total of 30 records in the result set each with its data specific to the login and record_date of that returned record.

CREATE TABLE #pipelinehist (
glusftboid int IDENTITY(1,1) NOT NULL,
record_date datetime NOT NULL,
loginname char(20) NOT NULL,
app_new float NOT NULL,
app_time float NOT NULL,
app_perc_adv float NOT NULL,
int_time float NOT NULL,
int_perc_adv float NOT NULL,
dem_time float NOT NULL,
dem_perc_adv float NOT NULL,
neg_time float NOT NULL,
neg_perc_adv float NOT NULL,
cls_time float NOT NULL,
cls_perc_adv float NOT NULL,
target_deal money NOT NULL,
annual_quota money NOT NULL,
weeks int NOT NULL
) ON [PRIMARY]

INSERT into #pipelinehist VALUES ('12/17/2007 0:00', 'AREP', 56.8, 26.9, 0.57, 29.5, 0.47, 20, 0.67, 80.7, 0.53, 2.1, 0.97, 2194.93, 575000, 50)
INSERT into #pipelinehist VALUES ('12/17/2007 0:00', 'BREP', 33.2, 0.5, 0.9, 7.7, 0.77, 8, 0.77, 9.2, 0.6, 7.7, 0.64, 971.1, 330000, 50)
INSERT into #pipelinehist VALUES ('12/17/2007 0:00', 'CREP', 210.2, 0.3, 0.87, 6.6, 0.5, 13.7, 0.4, 16.3, 0.43, 1.5, 0.91, 461.25, 330000, 50)
INSERT into #pipelinehist VALUES ('12/17/2007 0:00', 'DREP', 47.6, 5, 0.53, 33.3, 0.6, 57.5, 0.53, 50, 0.7, 1.5, 1, 2045.7, 575000, 50)
INSERT into #pipelinehist VALUES ('12/17/2007 0:00', 'EREP', 75.3, 110.9, 0.47, 36, 0.5, 17.4, 0.87, 20.3, 0.6, 7.2, 0.83, 2021.74, 775000, 50)
INSERT into #pipelinehist VALUES ('12/17/2007 0:00', 'FREP', 17.2, 23.3, 0.73, 6.8, 0.8, 6.3, 0.93, 29.7, 0.67, 15.5, 0.83, 2218.95, 575000, 50)
INSERT into #pipelinehist VALUES ('12/17/2007 0:00', 'GREP', 105.4, 67, 0.2, 32.9, 0.43, 18.5, 0.67, 8.9, 0.77, 3.5, 0.93, 1838.91, 400000, 50)
INSERT into #pipelinehist VALUES ('12/17/2007 0:00', 'HREP', 116.4, 118.5, 0.33, 30.9, 0.77, 46.3, 0.77, 46.3, 0.6, 0.9, 0.97, 1735.13, 1150000, 50)
INSERT into #pipelinehist VALUES ('12/17/2007 0:00', 'IREP', 143.3, 9, 0.77, 96, 0.17, 21.6, 0.77, 39.9, 0.43, 0.9, 0.93, 1385.43, 400000, 50)
INSERT into #pipelinehist VALUES ('12/17/2007 0:00', 'JREP', 179.4, 66.7, 0.7, 67.6, 0.1, 41.4, 0.6, 20.2, 0.8, 14, 0.7, 1563.76, 330000, 50)
INSERT into #pipelinehist VALUES ('12/17/2007 0:00', 'KREP', 107.6, 38.2, 0.23, 47.5, 0.47, 21.3, 0.77, 9.6, 0.73, 2.1, 0.83, 2120, 575000, 50)
INSERT into #pipelinehist VALUES ('12/17/2007 0:00', 'LREP', 18.6, 8.3, 0.87, 23.2, 0.57, 2.6, 0.87, 12.2, 0.67, 1, 1, 1229.02, 330000, 50)
INSERT into #pipelinehist VALUES ('12/17/2007 0:00', 'MREP', 4, 46.2, 0.6, 26.7, 0.57, 8.1, 0.87, 1.7, 0.9, 1.4, 1, 1091.22, 350000, 50)
INSERT into #pipelinehist VALUES ('12/17/2007 0:00', 'NREP', 54, 21.6, 0.57, 1.7, 0.77, 11, 0.8, 7.4, 0.9, 49, 0.47, 3240.68, 1300000, 50)
INSERT into #pipelinehist VALUES ('12/17/2007 0:00', 'OREP', 37.6, 24.4, 0.57, 50.1, 0.43, 6.7, 0.87, 15.6, 0.73, 0.9, 0.97, 1163.48, 330000, 50)
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INSERT into #pipelinehist VALUES ('12/18/2007 0:00', 'EREP', 61, 92.1, 0.5, 31, 0.53, 16.9, 0.83, 17.7, 0.6, 7.3, 0.83, 2318.04, 775000, 50)
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02-MAR-08 3 761.760

i want output for the above as:

Date Shift1 Shift2 Shift3
01-MAR-08 879.880 854.858 833.836
02-MAR-08 809.810 785.784 761.760
Please help me.

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I have a table with single row like below

 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
Column0 | Column1 | Column2 | Column3 | Column4|
 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Value0    | Value1    | Value2    | Value3    |  Value4  |

Am looking for a query to convert above table data to multiple rows having column name and its value in each row as shown below

_ _ _ _ _ _ _ _
Column0 | Value0
 _ _ _ _ _ _ _ _
Column1 | Value1
 _ _ _ _ _ _ _ _
Column2 | Value2
 _ _ _ _ _ _ _ _
Column3 | Value3
 _ _ _ _ _ _ _ _
Column4 | Value4
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So far we have not found anyway to accomplish this setup.

I would appreciate any ideas/thoughts on this matter.

Thanks,

Tracy Young

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Feb 19, 2013

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CustNo Mailing
Tim 1
Tim 3
Dan 1
Dan 3
Jane 1
Max 1
Max 2
Max 3
Lauren 2
Lauren 3

Results:

All 3 - 1
1&2 only - 0
1&3 only - 2
2&3 only - 1

I have tried doing some funky table joining and EXISTS, but the query runs and runs because of how much data it has to sift through. Here is the code I am using to find Mailing 1&2 only customers, but I am not even sure it is getting me the right numbers. There are 2 different types of customers as well which is why I have custtype in there.

Code:
select a.custtype,count(distinct a.custno)
from myTable a
inner join (select distinct custno from mytable where [mailing]=2) b
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Hi,

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col1 (identity PK)
col2 (varchar(max))
col3 (varchar(max))

I have created a single FULLTEXT on col2 & col3.
suppose i want to search col2='engine' and col3='toyota' i write query as

SELECT

TBL.col2,TBL.col3
FROM

TBL
INNER JOIN

CONTAINSTABLE(TBL,col2,'engine') TBL1
ON

TBL.col1=TBL1.[key]
INNER JOIN

CONTAINSTABLE(TBL,col3,'toyota') TBL2
ON

TBL.col1=TBL2.[key]

Every thing works well if database is small. But now i have 20 million records in my database. Taking an exmaple there are 5million record with col2='engine' and only 1 record with col3='toyota', it take substantial time to find 1 record.

I was thinking this i can address this issue if i merge both columns in a Single column, but i cannot figure out what format i save it in single column that i can use query to extract correct information.
for e.g.;
i was thinking to concatinate both fields like
col4= ABengineBA + ABBToyotaBBA
and in search i use
SELECT

TBL.col4
FROM

TBL
INNER JOIN

CONTAINSTABLE(TBL,col4,' "ABengineBA" AND "ABBToyotaBBA"') TBL1
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TBL.col1=TBL1.[key]
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But it don't work in following scenario
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SELECT

TBL.col4
FROM

TBL
INNER JOIN

CONTAINSTABLE(TBL,col4,' "ABengineBA" AND "ABB*ToyotaBBA"') TBL1
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TBL.col1=TBL1.[key]

Result=0 Row
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Here is some data that will explain what I want to do:

Input Data:
Part ColorCode
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A100 456
A100 789
B100 456
C100 123
C100 456

Output Data:
Part ColorCode
A100 123;456;789
B100 456
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Can you have three SQL Server 2012 instances, each with one primary replica database and have all three secondary replica databases on one SQL Server 2012 instance? So instead of, as above, going from 1 primary server to 3 secondary servers, this time we're going from 3 primary servers to 1 secondary server? The one secondary server would then contain all three secondary replicas for each of the 3 separate primary replicas.

This would mean that the single server (where all three secondary replicas reside) was part of three separate Windows Server Failover Clustering clusters.

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thanks.

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