Consolidating Dates From Multiple Rows

Feb 19, 2008

I am having a bit of a problem over here. I am trying to consolidate dates from multiple records into a time line that has no date overlap. I'll give you an example to make things clear.

Let's say I have 3 data records:


RowID BeginDate EndDate Price ($)
----------------------------------------------------
1 01/01/2008 01/10/2008 1.00
2 01/05/2008 01/15/2008 2.00
3 12/20/2007 02/01/2008 1.50
The result I would like to see should look like this:


12/20/2007 - 12/31/2007 the price was 1.50
01/01/2008 - 01/10/2008 the price was 2.50 because row 1 and 3 overlap.
01/05/2008 - 01/15/2008 the price was 3.50 because row 2 and 3 overlap.
01/16/2008 - 02/01/2008 the price was 1.50 because of the row 3.

Any idea on how I can automate generation of this data?

I have a lot of code written for that but I can't get the result I want.
I don't know if someone wants to see my code, I got around 500 lines of it.

I would appreciate any help with this.

Thanks!

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Consolidating Rows

Jul 31, 2006

I have a table (thanks to r937 and others) that list the 3 closest stores to each customer. I now want to take this data and 'group by' the customer so it shows only one record with the 3 closest stores in separate fields within the record. I am still new with SQL so if this is not possible or extremely easy, i apologize. Thanks in advance.

What it looks like now:


Code:

Cust# ClosestStore
customer1 508
customer1 604
customer1 414
customer2 579
customer2 987
customer2 417
customer3 751
customer3 487
customer3 113



What I want it to look like:


Code:

Cust # closestStore1 closestStore2 closestStore3
Customer1 508 604 414
Customer2 579 987 417
Customer3 751 487 113

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I'm using a query to see how many times an action was recorded on a person. The query works, it returns this:

John Smith 1
John Smith 1
John Smith 1
Jane Doh 1
Jane Doh 1
Al Johnson 1

but I need it to return totals like this

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Jane Doh 2
Al Johnson 1


This is the query I am using:


Select Player.First_Name, Player.Last_Name, COUNT(Action.Employee_ID)
from Player INNER JOIN
PlayerVisit on PlayerVisit.Player_ID = Player.Player_ID
join Treatment on Treatment.Visit_ID = PlayerVisit.Visit_ID
join Action on Treatment.Action_ID = Action.Action_ID
group by Player.First_Name, Player.Last_Name, Action.Employee_Id;

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Feb 18, 2007

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Since many of my packages use this same logic, I would like to consolidate it all into one custom transformation. I assume I can do this with a script transform, but then I'd lose all the caching built into the lookup transforms.

Should I just bite the bullet, and copy and paste the whole Rube Goldberg contraption of cascading lookup transforms into each package? Or is there a better solution I'm overlooking?

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Jan 4, 2015

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Essentially I am working out of a data warehouse and would like to eventually get all my queries in one SP or something similar and then call that query for a insert.

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Please can anyone help me for the following?

I want to merge multiple rows (eg. 3rows) into a single row with multip columns.

for eg:
data

ID Pat_ID

1 A


2 A
3 A
4 A
5 A
6 B

7 B
8 B
9 C

10 D

11 D




I want output for the above as:

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A 1 2 3
A 4 5 null
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Please help me. Thanks!

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I have two tables a stock table and a price table and I want to select the correct price for the Stock Date.

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I will post up the table and data.

SELECT a.[Company]
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,a.[ColourSize]
,a.[StockDate]
,a.[Quantity]
,b.[Ticket Price]
FROM[Stock_Ledger] a
LEFT OUTER JOIN [Product_Prices] b
ON a.[Company] = b.[Company]
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May 10, 2008



Hi,

I have a table that holds pay rate changes with a field for the rate start date and a field for the rate end date. When an employee gets given a new pay rate, the existing rate is given an end date and a new row is added with the rate start date being the day following the end date of the old pay rate.

I need to identify the staff who have had a rate change within the past month, therefore an end date on one row that is within one month of the current month, and a start date on another row that is one day after an end date on a separate row and within one month of the current month.

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Nov 27, 2007

This is tricky so please read it through


For displaying data on the report I am using the following query

SELECT ReferenceNumber, ActivityID, ActivityTimeStamp, ActivityType, ActivityPerformedBy FROM ActivityDetails
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The result set is







Issue Reference #

Activity ID

Activity Date/Time

Activity Type




100819

4521404

11/4/07 2:06 PM

INIT




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4521405

11/4/07 2:07 PM

LOG




100819

4521406

11/4/07 2:07 PM

LOG




100819

4521473

11/4/07 2:28 PM

TR




100819

4521501

11/4/07 2:33 PM

WIP




100819

4521839

11/4/07 3:25 PM

RE




100819

4521844

11/4/07 3:27 PM

RE_Method




100819

4522575

11/4/07 8:53 PM

CL




100820

4521412

11/4/07 2:10 PM

INIT




100820

4521419

11/4/07 2:13 PM

ATTACHTDOC




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4525856

11/5/07 2:49 PM

ATTACHTDOC




100820

4525859

11/5/07 2:49 PM

LOG




100820

4525869

11/5/07 2:49 PM

CL




100821

4521423

11/4/07 2:14 PM

INIT




100821

4521425

11/4/07 2:14 PM

LOG




100821

4521429

11/4/07 2:14 PM

TR




100821

4521432

11/4/07 2:14 PM

ACK




100821

4522219

11/4/07 4:58 PM

RE




100821

4522221

11/4/07 4:58 PM

RE_Method




100821

4522447

11/4/07 6:51 PM

CL




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e.g. Time difference between 4521404 and 4521405, 4521405 and 4521406, 4521406 and 4521473 etc. Please note that the difference between 4521412 and 4522575 will NOT be calculated since they are from different Reference Numbers.

Thanks,

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Sep 26, 2006

Hi all,

I have a table named Orders and this table has two relevant fields: CustomerId and OrderDate. I am trying to construct a query that will give me the difference, in days, between each customer's order so that the results would be something like: (using Northwind as the example)

...
ALFKI 25/08/1997 03/10/1997 39
ALFKI 03/10/1997 13/10/1997 10
ALFKI 13/10/1997 15/01/1998 94
ALFKI 15/01/1998 16/03/1998 60
ALFKI 16/03/1998 09/04/1998 24
...

At the moment, I have the following query that I think is on the right track:
€¦
SELECT dbo.Orders.CustomerID, dbo.Orders.OrderDate AS LowDate, Orders_1.OrderDate AS HighDate, DATEDIFF([day], dbo.Orders.OrderDate, Orders_1.OrderDate) AS Difference FROM dbo.Orders INNER JOIN dbo.Orders Orders_1 ON dbo.Orders.CustomerID = Orders_1.CustomerID AND dbo.Orders.OrderDate < Orders_1.OrderDate GROUP BY dbo.Orders.CustomerID, dbo.Orders.OrderDate, Orders_1.OrderDate, DATEDIFF([day], dbo.Orders.OrderDate, Orders_1.OrderDate) ORDER BY dbo.Orders.CustomerID, dbo.Orders.OrderDate, Orders_1.OrderDate
€¦

However, this gives me too much data:
€¦
ALFKI 25/08/1997 03/10/1997 39
ALFKI 25/08/1997 13/10/1997 49
ALFKI 25/08/1997 15/01/1998 143
ALFKI 25/08/1997 16/03/1998 203
ALFKI 25/08/1997 09/04/1998 227
ALFKI 03/10/1997 13/10/1997 10
ALFKI 03/10/1997 15/01/1998 104
ALFKI 03/10/1997 16/03/1998 164
ALFKI 03/10/1997 09/04/1998 188
ALFKI 13/10/1997 15/01/1998 94
ALFKI 13/10/1997 16/03/1998 154
ALFKI 13/10/1997 09/04/1998 178
ALFKI 15/01/1998 16/03/1998 60
ALFKI 15/01/1998 09/04/1998 84
€¦

So, do any of you have any ideas how I might achieve this? I know how to do it using a stored procedure, but I am trying to avoid that; I€™d like to do this in a single query.

Thanks for any help you have to offer,

Regards,

Stephen.

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Hello,
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I'm hoping that someone can help. This is my first time posting and fortunately I can normally find what I need but this time I am stumped.

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My intial query is
select date_of_call
from call_data
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order by date_of_call

Results:
2001-09-03 00:00:00.000
2001-09-07 00:00:00.000
2001-09-10 00:00:00.000
2001-09-13 00:00:00.000
2001-09-13 00:00:00.000
2001-09-13 00:00:00.000
2001-09-13 00:00:00.000
2001-09-13 00:00:00.000
2001-09-14 00:00:00.000

When I do a group by and count it looks like this:
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from call_data
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group by date_of_call
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2001-09-03 00:00:00.0001
2001-09-07 00:00:00.0001
2001-09-10 00:00:00.0001
2001-09-13 00:00:00.0005
2001-09-14 00:00:00.0001

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2001-09-01 00:00:00.0000
2001-09-02 00:00:00.0000
2001-09-03 00:00:00.0001
2001-09-04 00:00:00.0000
2001-09-05 00:00:00.0000
2001-09-06 00:00:00.0000
2001-09-07 00:00:00.0001
2001-09-08 00:00:00.0000
2001-09-09 00:00:00.0000
2001-09-10 00:00:00.0001
2001-09-11 00:00:00.0000
2001-09-12 00:00:00.0000
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2001-09-15 00:00:00.0000

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i want output for the above as:

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1/1/20073
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I am actually having a table as following:

Table Name: PromotionList

Note that the NULL in endDate means no end date or infinite end date.

ID PromotionID StartDate EndDate Flag
1 1 2015-04-05 2015-05-28 0
2 1 2015-04-23 NULL 0
3 2 2015-03-03 2015-05-04 0
4 1 2015-04-23 2015-05-29 0
5 1 2015-01-01 2015-02-02 0

And I would like to produce the following outcome to the same table (using update statement): As what you all observe, it merge all overlapping dates based on same promotion ID by taking the minimum start date and maximum end date. Only the first row of overlapping date is updated to the desired value and the flag value change to 1. For other overlapping value, it will be set to NULL and the flag becomes 2.

Flag = 1, success merge row. Flag = 2, fail row

ID PromotionID StartDate EndDate Flag
1 1 2015-04-05 NULL 1
2 1 NULL NULL 2
3 2 2015-03-03 2015-05-04 1
4 1 NULL NULL 2
5 1 2015-01-01 2015-02-02 1

The second part that I would like to acheive is based on the first table as well. However, this time I would like to merge the date which results in the minimum start date and End Date of the last overlapping rows. Since the End date of the last overlapping rows of promotion ID 1 is row with ID 4 with End Date 2015-05-29, the table will result as follow after update.

ID PromotionID StartDate EndDate Flag
1 1 2015-04-05 2015-05-29 1
2 1 NULL NULL 2
3 2 2015-03-03 2015-05-04 1
4 1 NULL NULL 2
5 1 2015-01-01 2015-02-02 1

Note that above is just sample Data. Actual data might contain thousands of records and hopefully it can be done in single update statement.

Extending from the above question, now two extra columns has been added to the table, which is ShouldDelete and PromotionCategoryID respectively.

Original table:

ID PromotionID StartDate EndDate Flag ShouldDelete PromotionCategoryID
1 1 2015-04-05 2015-05-28 0 Y 1
2 1 2015-04-23 2015-05-29 0 NULL NULL
3 2 2015-03-03 2015-05-04 0 N NULL
4 1 2015-04-23 NULL 0 Y 1
5 1 2015-01-01 2015-02-02 0 NULL NULL

Should Delete can take Y, N and NULL
PromotionCategoryID can take any integer and NULL

Now it should be partition according with promotionid, shoulddelete and promotioncategoryID (these 3 should be same).

By taking the min date and max date of the same group, the following table should be achieve after the table is updated.

Final outcome:

ID PromotionID StartDate EndDate Flag ShouldDelete PromotionCategoryID
1 1 2015-04-05 NULL 1 Y 1
2 1 2015-04-23 2015-05-29 1 NULL NULL
3 2 2015-03-03 2015-05-04 1 N NULL
4 1 NULL NULL 2 Y 1
5 1 2015-01-01 2015-02-02 1 NULL NULL

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