Merge And Sum Similar Records

Nov 20, 2012

I have the below in a table - TABLEA

Ref, Date, TIME, Code, Minutes
01117,2012-01-02, 541,BASIC,240.0
01117,2012-01-02, 541,BASIC,105.0

And I am trying to insert this into another table TABLEB but it wont allow as I am getting a duplicates error because of the unique Indexing on the table.

Ref,Date,Time,Code

Ideally if I could run a query on TABLEA so that it would merge and sum the minutes where REF,Date,TIME,CODE are the same.

i.e., the above would become

Ref , Date , TIME, Code, Minutes
01117,2012-01-02, 541,BASIC,345.0

Is this possible?

Another option that would work for me is the TIME column info isnt required to remain at 541.

If there was a count increment on the rows it would allow the import to rum.

ie if the above became

Ref, Date, TIME, Code, Minutes
01117,2012-01-02, 1,BASIC,240.0
01117,2012-01-02 ,2BASIC,105.0

It would also import correctly.

The first option is which I would prefer.

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SQL Server 2014 :: Merge Similar Records From Excel?

May 19, 2015

I am working on a project that will require me to get a flat data file (excel spreadsheet) with hundreds of thousands of records. Each record is an Owner, and specifically what they own. There will be a field for OwnerName that I want to figure out a way to pull the data into a database like;

Table(Owners) - make sure owner is listed only once

Table(Properties) - joined to owners showing all properties that person owns

Now the tricky part, the owner names might not be exactly the same. Some records might have;

Smith, John
John Smith
Smith, John T
etc.

To make matters worse, this will be a continuous process. I will receive updated excel spreadsheets from time to time and will need to import the new records, many times overwriting the old data. For the good news, there should be an OwnerID that will be unique within the excel data. So as I am merging similar records into the Owners table, I should have a list of OwnerID's that can forever be used to link to the owner.

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I have a table which contains single legs. E.g.

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1 ABC123 AAA BBB CCC 01JAN15 01JAN15 1

2 ABC123 AAA BBB CCC 07JAN15 07JAN15 1

3 ABC123 AAA BBB CCC 14JAN15 14JAN15 1

4 ABC123 XXX YYY ZZZ 21JAN15 21JAN15 1

I now want to merge those single records, which follow a pattern. For the above case this would be Row 1+2+3, so the result should be:

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From To
On DateFrom
DateTo DOW
1 ABC123
AAA BBB
CCC 01JAN15
14JAN15 1
3 ABC123
XXX YYY
ZZZ 14JAN15
14JAN15 1

The pattern is, that the legs from Row 1 and 2 have identical attributes (Leg-ID, From, To, On, DOW) and are on consecutive weeks on the same weekday. I was doing this through a while-look:

check if there is a record matching the following week (a.DateTo = dateadd(d, 7, b.DateFrom))if there is a match, then update the previous week record DateTo with the following week DateFromdelete the following week record but this is very slow, for 50T rows it runs approx. 6 hrs to shrink everything..

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Hi,


I have 4 tables :




Code Block
Create Table #Request ( [requestid] int , [stateno] nvarchar(5) , [cityno] int , Callid int, UniqueNo int);
Create Table #RequestDetail(reqdetailid int, [customername] Varchar(20), [customerage] int, requestid int);
Create Table #Call(Callid int,Calltype int,callDetailid int )
Create Table #CallDetail(callDetailId int,empid int)

Insert into #CallDetail VALUES(12123,1)
Insert into #CallDetail VALUES(53423,1)
Insert into #CallDetail VALUES(6532,1)
Insert into #CallDetail VALUES(82323,1)
Insert into #CallDetail VALUES(124235,1)

Insert Into #Call VALUES(111,1,12123)
Insert Into #Call VALUES(112,1,53423)
Insert Into #Call VALUES(114,1,6532)
Insert Into #Call VALUES(123,2,6532)
Insert Into #Call VALUES(134,1,124235)


Insert Into #request Values('324234','SA023',12,111,0);
Insert Into #request Values('223452','SA023',12,112,0);
Insert Into #request Values('456456','SA024',12,114,0);
Insert Into #request Values('22322362','SA024',44,123,0);
Insert Into #request Values('22654392','SA023',12,134,0);

Insert into #requestdetail values(1, 'Bill',23,'324234')
Insert into #requestdetail values(2, 'Tom',25,'223452')
Insert into #requestdetail values(3, 'Bobby',27,'456456')
Insert into #requestdetail values(4, 'Guck',29,'22322362')
Insert into #requestdetail values(5, 'Bobby',33,'22654392')



1. My stored proc will take the CallDetailID.

2. I have to find out the requests made on this calldetail.

3. After getting the request, i want to take the Customername, cityno of the request/requestdetail and pass it again to #request table to search for any duplicates within the request.

4. If found return the details of the original record :

[A similar requirement was solved earlier, but the structure has changed. This is a seperate requirement with different table strucure. Hence a new post. ]


thanks

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Good afternoon,

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Thank you,
Phil.

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Hello,
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Oct 21, 2014

Im trying to delete duplicate records from the output of the query below, if they also meet certain conditions ie 'different address type' then I would merge the records. From the following query how do I go about achieving one and/or the other from either the output, or as an extension of the query itself?

SELECT
a1z103acno AccountNumber
, a1z103frnm FirstName
, a1z103lanm LastName
, a1z103ornm OrgName
, a3z103adr1 AddressLine1
, A3z103city City

[Code] ....

Delete and merge duplicate records from joined tables? I am trying to delete duplicate records from the output of the query below, if they also meet certain conditions ie 'different address type' then I would merge the records. From the following query how do I go about achieving one and/or the other from either the output, or as an extension of the query itself?

Select a1z103acno AccountNumber, a1z103frnm FirstName, a1z103lanm LastName, a1z103ornm OrgName, a3z103adr1 AddressLine1, A3z103city City, A3z103st State, A3z103zip Zip, a6z103area AreaCode, a6z103phon PhoneNumber, a8z103mail Email from proddta.fz103a1 with (nolock) inner join proddta.fz103a2 with (nolock) ON a1z103acno = a2z103acno INNER JOIN proddta.fz103a3 with (nolock) ON a2z103adid = a3z103adid and a2z103actv = 'Y' and a2z103prim = 'Y' LEFT OUTER JOIN proddta.fz103a5 with (nolock) ON a1z103acno = a5z103acno and a5z103actv = 'y' and a5z103prim = 'Y' INNER JOIN proddta.fz103a6 with (nolock) ON a5z103phid = a6z103phid LEFT OUTER JOIN proddta.fz103a8 with (nolock) ON a1z103acno = a8z103acno and a8z103actv = 'Y' and a8z103prim = 'Y'

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Hi,

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Does anyone have any suggestions as to why this might be happening?  Any help would be greatly appreciated.

Cheers, James

P.S. I should add this problem only occurs when the edits are made at the publisher.  If new records are added at the subscriber everything is fine.

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I have a source table #source with columns 'source', 'patientcode' ,'patientdesc'  and it has 4 records as below

source patientcode  patientdesc
canada abc                patient1
canada efg                patient2
canada hij                 patient3
canada klm               patient4

I have a target table and it has 2 records as below.

source prefix  tgt_patientcode  tgt_patientdesc
canada cn         abc patient1
canada cn          efg patient2

Now, I want to merge the source data with target table -that means, if the records are already avaible in target, then ignore and if it does not available then INSERT.

This is the query i used but new records are not getting inserted.

MERGE #target T
USING #source  S
ON S.SOURCE=T.Source 
WHEN NOT MATCHED BY TARGET  THEN
INSERT (  Source, Prefix ,tgt_patientcode ,tgt_patientdesc)
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I want the output as below

source prefix  tgt_patientcode   tgt_patientdesc 
canada   cn      abc                  patient1
canada cn         efg                   patient2
canada cn        hij               patient3
canada cn         klm patient4

DDL as below :

create table #target (source varchar(100),prefix varchar(2),tgt_patientcode varchar(100),tgt_patientdesc varchar(100))
insert into #target values ('canada','cn','abc','patient1')
insert into #target values ('canada','cn','efg','patient2')

[Code] ....

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SELECT
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[code]...

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556872 1999-02-01 2000-08-31
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