Merge Two Tables Into A Single Table Based On The Matching Timestamp

Aug 2, 2013

Two tables:

table #1 = timestamp, servername1(never changes), value(int)
Table #2 = timestamp, servername2(never changes), value(int)

What I need to do is merge the two tables into a single table based on the matching timestamp:

timestamp, servername1, servername2 as headers then values under
"1/1/1-1:10:1" , "10" , "10" - as an example
"1/1/1-1:20:1" , "20" , "21" - as an example
"1/1/1-1:30:1" , "1" , "5" - as an example

Powershell or MSSQL 2008 queries work.

I have a powershell script atm that can create the table and then throw it back into the database but its very slow because of the amount of records.

The table is for some performance stat collection app.

Table #1 records a timestamp, the servername (which is the same over and over in the table) and the value of the performance object.
Table #2 is the same collection but for a different server.

The layout in the database is terrible but this is what I get to work with.

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Sep 3, 2014

I have data:

Ticket User Priority
A ME 1
B ME 1
C ME 2
C ME 3
D ME 2
E YOU 2
F YOU 1
G ME 3
H YOU 2
H YOU 3
I ME 1

Essentially if Ticket and User are the same I just want the min priority returned.

SO:
Ticket User Priority
A ME 1
B ME 1
C ME 2
D ME 2
E YOU 2
F YOU 1
G ME 3
H YOU 2
I ME 1

I've tried partition and rank but can't get it to return the right output.

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Apr 2, 2015

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Apr 8, 2008

I have 4 rows below in file tblTEST, and I want to be able to transfer the CODE from the MAIN location to the INT location (replacing all existing "A" codes), preceeded by an "I".

ID LOC CODE
-- ----- ------
11 MAIN B
11 INT A
22 MAIN C
22 INT A

I want the result to be:

ID LOC CODE
-- ----- ------
11 MAIN B
11 INT IB
22 MAIN C
22 INT IC

I am stumped as to how to do this - any help or advice would be appreciated.


The only thing I've come up with is:

UPDATE S
SET s.code = B.code
FROM tbltest B
LEFT OUTER JOIN tbltest S ON B.id = S.id
WHERE (S.loc = 'INT')

But when I run it, it says "0 rows affected".

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Jul 25, 2003

In my database I want to archive some rows based on the time stamp. I read that horizontal partitioning will do that. This partitioning will insert the rows from the table into some other Database - Tablename. In retrivng those rows back I need to issue separate queries and UNION the result set. Is this way is correct or there any better ways to do this? If it is I have another question. If I add a new column to the table I partitioned, what will happen to the table that I stored in other Database. Is that going to add this new column too?

If possible please give me a sample code or queries to partition the database.

Thank you.

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Let's say I have a list of IDs called EntryID and each EntryID can belong to ONE table out of a group of six, what is the best way to get a listing of these?

For example:

select r.*
from #Reminders r
left join mytable1 mt1 on (r.EntryID = mt1.EntryID)
left join mytable2 mt2 on (r.EntryID = mt2.EntryID)
left join mytable3 mt3 on (r.EntryID = mt3.EntryID)
left join mytable4 mt4 on (r.EntryID = mt4.EntryID)

As you can see, #Reminders has one field called EntryID (and many rows).

In my example above, only ONE of those tables will actually be able to join but I have no idea which one has the matching EntryID.

What is the best way for me to do this? I want to grab "ReportStatus" from the corresponding "mytable"... (each "mytable" has a ReportStatus column)

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Mar 31, 2014

I have 3 table

table_A
table_B
table_C

TABLE_A
SNO NAME ID
1 RAJU 070491
2 VAMSHI 089767
3 ARUNA 068908

TABLE_B

SNO NAME ID
2 RAJU 070491
4 JKLKJ 098766

I WANT COMPARE TWO TABLES(TABLE_A & TABLE_B) SELECT TABLE_A MATCHING VALUES COPY IN TABLE_C

EX-

SNO NAME ID
1 RAJU 070491

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I have resulting rows from a query similar to the following:

The data is coming from a single table that contains only one coverage code column and one coverage code date, but the end user wants the two coverage code types and dates combined into a single row. So the SELECT looks something like this:

SELECT
[Employee ID] = emp.employee_id,
[Coverage Code 1] = enr.coverage_code,
[Coverage Date 1] = enr.coverage_date,
[Coverage Code 2] = case when enr.product_type = 'Accident.Accident'
then enr.coverage_code else NULL end,

[Code] ....

I basically want to merge the like Employee ID's together into a single row like the following:

I know I have done this before and it is probably pretty simple.

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Oct 13, 2005

Hi,

I'm having problems with a stored procedure, that i'm hoping someone can help me with.

I have a table with 2 columns - Username (varchar), LastAllocation (datetime)

The Username column will always have values, LastAllocation may have NULL values. Example

Username | LastAllocation
------------------------
Greg | 02 October 2005 15:30
John | 02 October 2005 18:00
Mike | <NULL>

My stored procedure needs to pull back a user name with the following criteria:

If any <NULL> dates send username of first person where date is null, sorted alphabetically, otherwise send username of person with earliest date from LastAllocation

Then update the LastAllocation column with GETDate() for that username.

This SP will be called repeatedly, so all users will eventually have a date, then will be cycled through from earliest date. I wrote an SP to do this, but it seems to be killing my server - the sp works, but I then can't view the values in the table in Enterprise Manager. SP is below - can anyone see what could be causing the problem, or have a better soln?
Thanks
Greg
------------------------------------------------------------------------------
------------------------------------------------------------------------------
CREATE PROCEDURE STP_GetNextSalesPerson AS
DECLARE @NextSalesPerson varchar(100)

BEGIN TRAN

IF (SELECT COUNT(*) FROM REF_SalesTeam WHERE LeadLastAllocated IS NULL) > 0
BEGIN
SELECT TOP 1 @NextSalesPerson = eUserName FROM REF_SalesTeam WHERE LeadLastAllocated IS NULL ORDER BY eUserName ASC
END
ELSE
BEGIN
SELECT TOP 1 @NextSalesPerson = eUserName FROM REF_SalesTeam ORDER BY LeadLastAllocated ASC
END

SELECT @NextSalesPerson
UPDATE REF_SalesTeam SET LeadLastAllocated = GETDATE() WHERE eUserName = @NextSalesPerson


COMMIT TRAN
GO

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I'm trying to return records containing the next upcoming mailing for each client.
 
The closest I can get is below:
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Sel Name Order JoinKeyno UniqueID 1 yesyes Column1 0 no
...

OLE DB Source 2 (table2)
Sel Name Order JoinKeyyes ID 1 yesyes Columns 0 no
...

There is a link (arrow) between UniqueID and ID, and the join type is "Left Outer Join". When I execute the statement "SELECT * FROM Table1 LEFT JOIN TABLE2 ON TABLE1.UniqueID = Table2.ID", the data returns correctly to me. What am I missing with the properties I've set above with the merge join?

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VALUES
((select SYSTEM_ID from TABLE2 where
AUTHOR IN (select SYSTEM_ID from TABLE2 where USER_ID
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I get the following-

Msg 512, Level 16, State 1, Line 1

Subquery returned more than 1 value. This is not permitted when the subquery follows =, !=, <, <= , >, >= or when the subquery is used as an expression.

The statement has been terminated.

Do I need to use a cursor?

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%
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_
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Sep 7, 2005

Hi,
We are building an application for online system for people to place ADs for selling various used items like Car, Electronics, Houses, Books etc.
If someone selling a car then he can fill out headline, year, make, model, mileage, transmission, condition, color, price, description, contact etc.
Similarly if someone selling a digital camera he will fillout headline, memory, zoom, megapixel, maker, model, color, batter, description etc.
Option 1: I can have a main table to hold the common attributes of all different types of ADs (headline, images, contact, price, color, condition, description)
+ 1 table to store string values of all ADs (car: maker, model, square feet (if house), memory, megapixel (camera) etc)
+ 1 table to store the droplist select values(car: transmission, door, seat etc; house: year_built)
pros: single table for all ADs. unique IDs for all ADs, easy to extend as new attributes can be dropped easily.
cons: lot of physical reads of 2nd and 3rd table from join. 10 times physical reads compared to option 2 when reading 5000 records.
Option 2: have different set of table for each AD type. Car will have its own main table + 1 table to store multiselect list box values.
Similarly housing will have its own set of tables
pros: 10% less physical read than option 1.
cons: hard to add new attributes. We have to modify the main table by adding one column.
Query will go to different table based on the category.
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I have tables in my database, tblNames1, tblNames2, tblNames3, and a main addresses table (currently empty). Once I've imported the address data I need to match the addressIDs in the names tables to the Primary ID in the address table based on the values of a field CompanyName (which is common to all the tables) My issue is that I have a huge CSV file with the master address information but obviously SQL server needs to assign foreign keys so the names tables can linked to corresponding rows in address table. It's a a many to 1 relationship as their will be one address with multiple name entries. All the names are normalized so everything can be matched up...

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Sep 10, 2007


Hi all,,

I posted the questions in sql forum and got good sql statement to work with it.. However, I want to see if there is a way to do it in SSIS..

May be this is really basic questions but I am having hard time to do it in sql server 2005 SSIS..

I have a flat file that I want to merge with table in SQL server 2005.

1> I have successfully created a data flow task to import data from flat file to Table X (new table I created for this package).

Now here is my question.
I have a Table A already in the database with the same column structure as of TableX (Both the tables have 20 columns/same Name/Same design).

I want to merge Table A and Table X and stored the data in TableA. However, I just don't want to merge blindly, I need to insert a new row in Table A only if the same row does not exist in Table A (there is no primary key, i am looking certain fields to see if the rows are same)..

Here is an example:
Table A
--------------
1 test test1 test2 test3 test4 test5
2 test test6 test7 test8 test9 test10

Table X
------------
1 test test1 test2 test99 test4 test5
2 test test98 test97 test 96 test95 test94
--------------------------------------------------------
Now, I want to only insert row 2 of Table X since there is match on 4 of the fields in row1..
The new Table A should look like

NEW Table A'
-----------------

test test1 test2 test3 test4 test5
test test6 test7 test8 test9 test10
test test98 test97 test 96 test95 test94


------------------------------------
I think, I could do this using Execute SQL task and write all the code in sql, but that will be cumbersome and time consuming.. Is there a simpler way to achieve this?

Thanks in advance.

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Sep 20, 2007



Hi,

I have 3 tables with the follwing schema
Table <Category>
{

UniqueID,
LastDate DateTime
}


Assume the follwing tables with data following the above schema

Table Cat1
{

1, D1
2, D2
3, D3
}
Table Cat2
{

2, D4
3,D5
4, D6
}
Table Cat3
{

1, D7
3,D8
5,D9
}

I have a Master and the schema is as follows
Table master
{

UniqueId,
Cat1 DateTime, -- This is same as the Table name
Cat2 DateTime, -- This is same as the Table name
Cat3 DateTime -- This is same as the Table name
}

After inserting the data from all these 3 tables, I want the my master table to look like this
Table Master
{

UniqueId cat1 cat2 Cat3
------------ --------- ------- -----------
1 D1 NULL D7
2 D2 D4 NULL
3 D3 D5 D8
4 NULL D6 NULL
5 NULL NULL D9
}


Please remember the column names will be same as that of table names

can any one pelase let me know the query t o acheive this

Thanks for your quick response
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i have this data in my audits table:




Commercial83312

2
2
2
1
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Commercial83312

4
2
2
1

 




so here the industry ID is changed
I need the stored procedure for this.
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Hello,

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Thanks

Karl

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Hi,

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Query something like:

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For example,

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------------------------
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------------------------
user1 10
user2 15
user3 20
....
user10 30
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Below is the schema structure:

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1    -   9
1    -   16
1    -   18
1    -   20
1    -   27
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Table 1
customer_no eaddress_no name address (36000 records)

Table2
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