I have a table that contains a series of related records (batches). Each batch has a unique id and can contain customer payments. I want to find if a batch is duplicate even if it is submitted on different days.
A batch can have 1 or more records. Here is sample data set:
BatchId InputAmount CustomerName BatchDate
------- ----------- ------------ ----------
182944 $475.00 Barry Smith 16-Mar-2019
182944 $260.00 John Smith 16-Mar-2019
182944 $265.00 Jane Smith 16-Mar-2019
182944 $400.00 Sara Smith 16-Mar-2019
182944 $175.00 Andy Smith 16-Mar-2019
182945 $475.00 Barry Smith 16-Mar-2019
182945 $260.00 John Smith 16-Mar-2019
182945 $265.00 Jane Smith 16-Mar-2019
182945 $400.00 Sara Smith 16-Mar-2019
182945 $175.00 Andy Smith 16-Mar-2019
183194 $100.00 Paul Green 21-Mar-2019
183195 $100.00 Nancy Green 21-Mar-2019
183197 $150.00 John Brown 20-Mar-2019
183197 $210.00 Sarah Brown 20-Mar-2019
183198 $150.00 John Brown 21-Mar-2019
183198 $210.00 Sarah Brown 21-Mar-2019
183200 $125.00 John Doe 20-Mar-2019
183200 $110.00 Sarah Doe 20-Mar-2019
183202 $125.00 John Doe 21-Mar-2019
183202 $110.00 Sarah Doe 21-Mar-2019
183202 $115.00 Paul Rudd 21-Mar-2019
Batches (182944, 182945) and (183197,183198) are duplicate while the other batches are not.
I thought maybe I could create a summary table with counts and sums and get close but I'm having trouble finding the true duplicates by including the names as well.
DECLARE #Summaries TABLE(
BatchId INT,
BatchDate DATETIME,
BatchCount INT,
BatchAmount MONEY)
-- Summarize the Data so we can look for duplicates
INSERT INTO #Summaries
SELECT a.BatchId, a.BatchDate, COUNT(*) AS RecordCount, SUM(a.InputAmount) AS BatchAmount
FROM Batches a
WHERE a.BatchDate BETWEEN '20190316' and '20190321'
GROUP BY a.BatchId, a.BatchDate
ORDER BY a.BatchId DESC
-- find the potential duplicate batches based on the Counts and Sums
SELECT A.* FROM #Summaries A
INNER JOIN (SELECT BatchCount, BatchAmount, BatchDate FROM #Summaries
GROUP BY BatchCount, BatchAmount, BatchDate
HAVING COUNT(*) > 1) B
ON A.BatchCount = B.BatchCount
AND A.BatchAmount = B.BatchAmount
WHERE DATEDIFF(DAY, a.BatchDate, b.BatchDate) BETWEEN -1 AND 1
Thank you for the help. I'm using a SQL Server 2012 database.
you can try like below
with cte as
(select BatchId from table_name
group by BatchId
having count(*)>1
) select * from table_name a where a.BatchId in (select BatchId from cte)
Related
I have data like below:
Employer_ID Gender First_Name Last_Name Keywords
----------- ------ ---------- ---------- ---------
101 M Ian SMITH Environment
101 M Ian SMITH Global warmimg
101 M Ian SMITH Earth
101 M Ian SMITH Air
101 M Ian SMITH Sound pollution
102 M Scott Tiger Heart attack
102 M Scott Tiger Medical
102 M Scott Tiger Heart surgery
I would like to have output as below. Group by Employer_Id, Gender, First_Name and Last_Name. All relevant Keywords should be merged to produce one row per Employer_Id, Gender, First_Name and Last_Name:-
Employer_ID Gender First_Name Last_Name Keywords
----------- ------ ---------- --------- ---------
101 M Ian SMITH Environment Global warmimg Earth Air Sound pollution
102 M Scott Tiger Heart attack Medical Heart surgery
You can achieve it using String AGG as suggested by #Zhorov,
SELECT Employer_ID,Gender,First_Name,Last_Name,STRING_AGG(Keywords ,' ') AS Keywords
FROM #Temp
GROUP BY Employer_ID,Gender,First_Name,Last_Name
I am not too advanced with SSRS/SQL queries, and need to write a report that pulls out % allocations by person to then compare to a wage table to allocate the wages. These allocations change quarterly, but all allocations continue to be stored in the table. If a persons allocation did not change, they do NOT get a new entry in the table. Here is a sample table called Allocations.
First Name
Last Name
Date
Area
Percent
Smith
Bob
01/01/20
A
50.00
Smith
Bob
01/01/20
B
50.00
Doe
Jane
01/01/20
A
25.00
Doe
Jane
01/01/20
B
25.00
Doe
Jane
01/01/20
C
50.00
Doe
Jane
04/01/20
A
35.00
Doe
Jane
04/01/20
C
65.00
Wayne
Bruce
01/01/20
A
100.00
Wayne
Bruce
04/01/20
B
100.00
The results that I would want to have from this sample table when querying it are:
First Name
Last Name
Date
Area
Percent
Smith
Bob
01/01/20
A
50.00
Smith
Bob
01/01/20
B
50.00
Doe
Jane
04/01/20
A
35.00
Doe
Jane
04/01/20
C
65.00
Wayne
Bruce
04/01/20
B
100.00
However, I would also like to pull this by comparing it to a date that the user inputs, so that they could run this report at any point in time and get the correct "max" dates. So, for example, if there were also 7/1/20 dates in here, but the user input date was 6/30/20, I would NOT want to pull the 7/1/20 data. In other words, I would like to pull the rows with the maximum date by name w/o going over the user's input date.
Any idea on the best way to accomplish this?
Thanks in advance for any advice you can provide.
In SQL, ROW_NUMBER can be used to order records in groups by a particular field.
SELECT * FROM (
SELECT *, ROW_NUMBER()OVER(PARTITION BY Last_Name, First_Name ORDER BY DATE DESC) as ROW_NUM
FROM TABLE
) AS T
WHERE ROW_NUM = 1
Then you filter for ROW_NUM = 1.
However, I noticed that there are a couple with the same date and you want both. In this caseyou'd want to use RANK - which allows for ties so there may be multiple records with the same date that you want to capture.
SELECT * FROM (
SELECT *, RANK()OVER(PARTITION BY Last_Name, First_Name ORDER BY DATE DESC) as ROW_NUM
FROM TABLE
) AS T
WHERE ROW_NUM = 1
I have two tables, table A and B, and I am counting the number of occurences of a data type from table A,
ENAME SALES
---------- ----------
Wilson 0
Fox 1
Wang 2
Green 1
Fox 0
Phillips 2
Loftus 0
Smith 2
Smith 3
Wolf 2
Jones 1
Liu 0
Where when the sales count is 0, the ename does not exist in table B at all.
How would I go about removing the 0 count? I'm trying to get the return to look like this:
ENAME SALES
---------- ----------
Wilson
Fox 1
Wang 2
Green 1
Fox
Phillips 2
Loftus
Smith 2
Smith 3
Wolf 2
Jones 1
Liu
One method uses case, another nullif():
select ename, nullif(sales, 0) as sales
from t;
If this is an aggregation query:
select ename, nullif(count(*), 0) as sales
from t
group by ename;
My first time reading a question on here.
I am working at a university and I have a table of student IDs and their supervisors, some of the students have one supervisor and some have two or three depending on their subject.
The table looks like this
ID Supervisor
1 John Doe
2 Peter Jones
2 Sarah Jones
3 Peter Jones
3 Sarah Jones
4 Stephen Davies
4 Peter Jones
4 Sarah Jones
5 John Doe
I want to create a view that turns that into this:
ID Supervisor 1 Supervisor 2 Supervisor 3
1 John Doe
2 Peter Jones Sarah Jones
3 Peter Jones Sarah Jones
4 Stephen Davies Peter Jones Sarah Jones
5 John Doe
I have looked at PIVOT functions, but don't think it matches my needs.
Any help is greatly appreciated.
PIVOT was the right clue, it only needs a little 'extra' :)
DECLARE #tt TABLE (ID INT,Supervisor VARCHAR(128));
INSERT INTO #tt(ID,Supervisor)
VALUES
(1,'John Doe'),
(2,'Peter Jones'),
(2,'Sarah Jones'),
(3,'Peter Jones'),
(3,'Sarah Jones'),
(4,'Stephen Davies'),
(4,'Peter Jones'),
(4,'Sarah Jones'),
(5,'John Doe');
SELECT
*
FROM
(
SELECT
ID,
'Supervisor ' + CAST(ROW_NUMBER() OVER(PARTITION BY ID ORDER BY Supervisor) AS VARCHAR(128)) AS supervisor_id,
Supervisor
FROM
#tt
) AS tt
PIVOT(
MAX(Supervisor) FOR
supervisor_id IN ([Supervisor 1],[Supervisor 2],[Supervisor 3])
) AS piv;
Result:
ID Supervisor 1 Supervisor 2 Supervisor 3
1 John Doe NULL NULL
2 Peter Jones Sarah Jones NULL
3 Peter Jones Sarah Jones NULL
4 Peter Jones Sarah Jones Stephen Davies
5 John Doe NULL NULL
You will notice that the assignment to Supervisor X is done by ordering by the Supervisor-VARCHAR. If you want the ordering done differently, you might want to include an [Ordering] column; then change to ROW_NUMBER() OVER(PARTITION BY ID ORDER BY [Ordering]). Eg an [Ordering] column could be an INT IDENTITY(1,1). I'll leave that as an excercise to you if that's what's really needed.
Current situation
date (nvarchar(9))
sku (nvarchar(5))
smith (decimal)
jones (decimal)
jonson (decimal)
nguyen (decimal)
date sku smith jones johnson nguyen
-----------------------------------------------------------
11/4/2007 X2271 2404 9055,33 7055,22 0
11/4/2007 B1112 108,99 0 244,92 1001.01
Requested result:
date sku salesperson sales
------------------------------------------
11/4/2007 X2271 Smith 2404
11/4/2007 X2271 Jones 9055,33
11/4/2007 X2271 Johnson 7055,22
11/4/2007 B1112 Smith 108,99
11/4/2007 B1112 Johnson 244,92
11/4/2007 B1112 Nguyen 1001,01
Gonna need some help to solve this problem. This task is related to a BI task.
You can use the UNPIVOT command to accomplish this.
SELECT
date,
sku,
salesperson,
sales
FROM (
SELECT
date,
sku,
smith,
jones,
johnson,
nguyen
FROM
YourTable
) q
UNPIVOT
(sales FOR salesperson in (smith, jones, johnson, nguyen)) AS YourUnpivot