How To Match Grouped Rows In MS Sql

Apr 8, 2008

Hi,

Data in my table is loking like this.













InvID
ItemInputDtTime
SrNo
ItemId
Rate

Qty
GroupID

8252
07-04-2008 15:51
1
001138
9.99
1
1

8252
07-04-2008 15:51
2
000009
0.5
1
1

8252
07-04-2008 15:51
3
000016
1
1
1

8252
07-04-2008 15:52
4
000207
NULL
1
1

8252
07-04-2008 15:52
5
000203
NULL
1


1



8252


07-04-2008 15:52
6
001138
11.9
1
2

8252
07-04-2008 15:52
7
000016
1
1
2

8252
07-04-2008 15:52
8
000009
0.5
1
2

8252
07-04-2008 15:52
9
000207
NULL
1
2

8252
07-04-2008 15:52
10
000203
NULL
1
2

8252
07-04-2008 15:52
11
001138
11.9
1
3

8252
07-04-2008 15:52
12
000009
0.5
1
3

8252
07-04-2008 15:52
13
000008
0.5
1
3

8252
07-04-2008 15:53
14
001106
5
1
4

8252
07-04-2008 15:53
15
001000
10
1
5

8252
07-04-2008 15:54
16
001202
10
1
6

8252
07-04-2008 15:54
17
001117
13.9
1
7

8252
07-04-2008 15:54
18
001113
NULL
1
7

8252
07-04-2008 15:54
19
001117
13.9
1
8

8252
07-04-2008 15:54
20
001113
NULL
1
8

8252
07-04-2008 15:54
21
001117
13.9
1
9

8252
07-04-2008 15:54
22
001115
2
1
9




same colored items are grouped by GroupID. Each group contains ItemID, Qty and rate.
How can i compare IteamID, Qty and Rate of each group with other group's ItemID, Qty and rate?
OR
How can i get number of groups with same ItemID, Qty and rate?


All I need to do by T-SQL


Thanx

View 14 Replies


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Here is a sample SQL code (table and data) to work with.

USE [tempdb]

DROP TABLE [Trades]
GO

CREATE TABLE [Trades] (
[TradeId] INT,
[Quantity] INT,
[Price] DECIMAL(6,2)
)
GO

-- need to find trades that rollup to quantity 30 and average price 7.5

INSERT INTO [Trades] VALUES (1, 10, 10)
INSERT INTO [Trades] VALUES (2, 10, 5.0)
INSERT INTO [Trades] VALUES (3, 25, 7.5)
INSERT INTO [Trades] VALUES (4, 10, 10.0)
INSERT INTO [Trades] VALUES (5, 2, 2.0)
INSERT INTO [Trades] VALUES (6, 10, 7.5)

SELECT
[TradeId],
[Quantity],
[Price],
[Quantity] * [Price] AS [MarketValue]
FROM
[Trades]

-- need to find the trades that roll up to quantity 30 with an average price of $7.5
-- Trades 2, 4, and 6 are the solution

SELECT
SUM([Quantity]) AS [TotalQuantity],
SUM([Quantity] * [Price]) / SUM([Quantity]) AS [AveragePrice]
FROM
[Trades]
WHERE
[TradeId] IN (2, 4, 6)

-- what I need to get back is the SET of rows that make up the rolled trade, so I want to see

SELECT
*
FROM
[Trades]
WHERE
[TradeId] IN (2, 4, 6)


Thank you for any and all help in this.

- Jason

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Code Snippet

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Getting Order Number Into Query Grouped By Something

Apr 30, 2008

I have a table of transaction that includes student ids and dates. I need to select all records from the table and include a new value that is the sequential transaction numbered for each student with the oldest transaction for each student being numbered one, the next oldest numbered two and so on. So the result should look like student1, 10/1/2000, 1, student1, 10/15/2000, 2, student1, 2/12/2001, 3, student2, 9/1/1999, 1, student2 10/2/2000, 2, student2 , 12/15/2000, 3, student2, 11/4/2001, 4 and so on.

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Update Table - Based On Sum Of Records Grouped?

Oct 18, 2014

I have the following table

Code:
10012014-09-01 00:00:00.000BH1-Z-1280180
20012014-09-01 00:00:00.000BH1-Z-9990300
30012014-09-01 00:00:00.000CHO1-Z-1280180
40012014-09-01 00:00:00.000CHO1-Z-9990306
50012014-09-01 00:00:00.000OT11-Z-99906
60012014-09-01 00:00:00.000WRK1-Z-1280180
70012014-09-01 00:00:00.000WRK1-Z-9990306
80022014-09-01 00:00:00.000BH1-Z-0800480
90022014-09-01 00:00:00.000CHO1-Z-0800480
100022014-09-01 00:00:00.000WRK1-Z-0800480
110022014-09-02 00:00:00.000BH1-Z-0800480
120022014-09-02 00:00:00.000CHO1-Z-0800600
130022014-09-02 00:00:00.000OT11-Z-0800120
140022014-09-02 00:00:00.000WRK1-Z-0800600
150012014-09-02 00:00:00.000BH1-Z-1280480
160012014-09-02 00:00:00.000CHO1-Z-1280480

What I want to do is update the table so that it populates the PERCENTAGE column on an empref/hrscode/date basis based on the sum of the WRK hours per day and empref.

EG for 2014-09-01 for empref 001 the result would be

Code:
0012014-09-01 00:00:00.000BH1-Z-12837.037180
0012014-09-01 00:00:00.000BH1-Z-99961.728300
0012014-09-01 00:00:00.000CHO1-Z-12837.037180
0012014-09-01 00:00:00.000CHO1-Z-99962.963306
0012014-09-01 00:00:00.000OT11-Z-9991.2356
0012014-09-01 00:00:00.000WRK1-Z-12837.037180
0012014-09-01 00:00:00.000WRK1-Z-99962.963306

IE Sum WRK = 486 so 180 is 37.037 percentage. Each HRSCODE hours total should total 100% (37.037 + 61.728)

I can write a query to do this individually but how can I so this as a query for the full table.

Code:
declare @@total as float
set @@total=(select SUM(hours) from tmsuser.tmswrhrs where hrscode='worked' and empref='001' and '2014-09-01 00:00:00.000'=procdate)
update tmsuser.TMSWRHRS set PTAS1=(Str(((hours/@@TOTAL*100)),12,3)) where empref='001' and '2014-09-01 00:00:00.000'=procdate

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SQL Server 2008 :: Grouping By Records That Are Already Grouped?

Jul 27, 2015

I have results from a query that have anywhere from 1-4 results. I have a subid of 1-4 which is grouped by a certain criteria. so for example...

id subid text
1 processing A records
2 1000 records processing
3 importing A records
4 1000 records processed
1 processing B records
2 500 records processing
3 importing B records
4 1000 records processed

Here is what my desired output is giving each group of subids 1-4 an id to be grouped together.

id subid text
1 1 processing A records
1 2 1000 records processing
1 3 importing A records
1 4 1000 records processed
2 1 processing B records
2 2 500 records processing
2 3 importing B records
2 4 1000 records processed

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SQL Server 2012 :: Max Count Grouped By All The Fields

Sep 15, 2015

Trying to get the max count grouped by all the fields. All the fields are the same, but trying to get the location for each physician that has the largest number of patients.

if the output for the sql below is:

101, 10, Jon, Smith, MD, Ortho, OR, 15
101, 10, Jon, Smith, MD Ortho, 1, 12
101, 10, Jon, Smith, MD, Ortho, 2, 10
24, 3, Mike, Jones, MD, Neuro, OR, 21
24, 3, Mike, Jones, MD, Neuro, 2, 43

I'd like to have the query rewritten so the results are as:

101, 10, Jon, Smith, MD, Ortho, OR, 15
24, 3, Mike, Jones, MD, Neuro, 2, 43

SELECT
a.attendingmdkey,e.[provider id],e.[first name],e.[last name],e.title,e.specialty,l.locationname,count(a.accountid) as Count
FROM accounts a
left outer join location l on l.locationid=a.locationid
left outer join providers e on e.[ProviderID]=a.attendingmdkey
where a.dischargedate>='2014-12-01' and a.dischargedate<'2015-01-01'
and a.divisioncode in ('1','2','$')

group by a.AttendingMdKey,e.[provider id],e.[first name],e.[last name],e.title,e.Specialty,l.locationname
order by a.AttendingMdKey

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Get Count Of Records Grouped By Days And User

Dec 24, 2013

If I have a table like this:

ID User Date
20 22 1-1-2013
21 22 1-1-2013
22 31 1-1-2013
23 22 1-1-2013
24 22 1-2-2013
25 22 1-2-2013
etc...

How can I get the count of records grouped by date and user?

Date 22 31
1-1-2013 3 1
1-2-2013 2 0
etc...

Is this possible?

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