INNER JOIN Using Surrogate ID, Or [Date] BETWEEN?

Jul 20, 2005

{CREATE TABLEs and INSERTs follow...}

Gents,

I have a main table that is in ONE-MANY with many other tables. For example, if
the main table is named A, there are these realtionships:

A-->B
A-->C
A-->D
A-->E

With one field in Common (Person). The tables B, C, D and E are History tables,
with Start and End dates. Each person has a Program history (table B, ie), an
Experience history (table C, ie), and so on...many differernt types of
histories, and it may grow from here....table F, G, etc.

The included CREATE TABLEs and INSERTs contain tables A, B and C.

The problem: Each tblCase (table A) record has a date. When joining all of the
history tables to tblCase on Person, obviously you get a cross-product of each
history unless you specify a WHERE clause that extracts one single record from
each of the histories (duh...that's the point...to extract a single record from
each history, because there can only be one value in effect at the time of the
Case.)

QUESTION: From a performance standpoint, would it behoove me to maintain the
surrogate ***HistoryID from each history table in tblCase, or, assuming the
indexes are set up properly, would a WHERE condition for each history be
sufficient? For example, the following select works as expected:

SELECT CasePerson, CaseDate, ProCode, ExpYear
FROM tblExperienceHistory INNER JOIN (tblCase INNER JOIN tblProgramHistory ON
tblCase.CasePerson = tblProgramHistory.ProPerson) ON tblCase.CasePerson =
tblExperienceHistory.ExpPerson
WHERE CaseDate BETWEEN ProStartDate and ProEndDate
AND CaseDate BETWEEN ExpStartDate and ExpEndDate

It extracts the single record from each history for each person for each case.
But I'm afraid of performace with such a scenario.

Instead, I could store each ***HistoryID in the table tblCase, and then just
join on that...no WHERE needed. But the trade-off is that I'd have to build
processes to maintain that. ("Hey, when you insert a record into tblCase, make
sure to go get each HistoryID from the History tables!" or "If the user changes
the date ranges in one of histories, make sure to update tblCase to match the
new historyID!")

Maybe a clustered index on each ***History table on Person/StartDate combined
with the WHERE clause should perform as well as a real JOIN on surrogate
integers.

It seems cheesey to have to resort to surrogate IDs...but the performance
increase might be worth it. Also, if I go that route, whenever I add a new
history table, I'd have to change the design of tblCase AND any SPs that
reference it. With the WHERE solution, I'd only have to change the SPs.

Comments are welcome! (tblCase grows at 250,000 records per year; the history
tables will increase about 1000 records per year)

DCMFAN

CREATE TABLE [dbo].[tblCase] (
[CaseID] [char] (5) CONSTRAINT [PK_tblCase] PRIMARY KEY CLUSTERED NOT NULL ,
[CaseDate] [smalldatetime] NOT NULL ,
[CasePerson] [char] (5) NOT NULL
) ON [PRIMARY]
GO

CREATE TABLE [dbo].[tblExperienceHistory] (
[ExperienceHistID] [int] IDENTITY (1, 1) NOT NULL ,
[ExpPerson] [char] (5) NOT NULL ,
[ExpStartDate] [smalldatetime] NOT NULL ,
[ExpEndDate] [smalldatetime] NOT NULL ,
[ExpYear] [int] NOT NULL
) ON [PRIMARY]
GO

CREATE TABLE [dbo].[tblProgramHistory] (
[ProgramHistID] [int] IDENTITY (1, 1) NOT NULL ,
[ProPerson] [char] (5) NOT NULL ,
[ProStartDate] [smalldatetime] NOT NULL ,
[ProEndDate] [smalldatetime] NOT NULL ,
[ProCode] [int] NOT NULL
) ON [PRIMARY]
GO

INSERT INTO [tblCase]([CaseID], [CaseDate], [CasePerson])
VALUES('12345', '3/1/03', '00000')

INSERT INTO [tblCase]([CaseID], [CaseDate], [CasePerson])
VALUES('A1G34', '4/23/03', '00001')

INSERT INTO [tblExperienceHistory]([ExpPerson], [ExpStartDate], [ExpEndDate],
[ExpYear])
VALUES('00000', '1/1/03', '5/19/03', 1)

INSERT INTO [tblExperienceHistory]([ExpPerson], [ExpStartDate], [ExpEndDate],
[ExpYear])
VALUES('00000', '5/20/03', '12/31/03', 2)

INSERT INTO [tblExperienceHistory]([ExpPerson], [ExpStartDate], [ExpEndDate],
[ExpYear])
VALUES('00001', '4/20/03', '11/1/03', 0)

INSERT INTO [tblProgramHistory]([ProPerson], [ProStartDate], [ProEndDate],
[ProCode])
VALUES( '00000', '2/1/03', '9/30/03', '55555')

INSERT INTO [tblProgramHistory]([ProPerson], [ProStartDate], [ProEndDate],
[ProCode])
VALUES( '00000', '10/1/03', '5/1/04', '55555')

INSERT INTO [tblProgramHistory]([ProPerson], [ProStartDate], [ProEndDate],
[ProCode])
VALUES( '00001', '1/1/03', '12/31/03', '55555')

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00001 1/1/2014 A
00001 1/5/2014 B
00001 1/9/2014 C
00001 2/1/2014 B
00001 2/20/2014 A ....

I want to create query the output should be:

EmpID TransDate Group
00001 1/1/2014 A
00001 1/2/2014 A
00001 1/3/2104 A
00001 1/4/2014 A
00001 1/5/2014 B
00001 1/6/2014 B
00001 1/15/2014 C
00001 2/1/2014 B
00001 2/2/2014 B
00001 2/20/2004 A

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Transact SQL :: Filtering Join Tables By Date

Sep 14, 2015

I need to Filter Employees by Available Date and grab their Basic contact information

I used Join to Join both tables  but I can't seem to find a way to only get data from employees where DateAv > SelectedDate.

I'm using this in a SqlCommand with C#. 

SELECT " EmployeeNameTable.ID, EmployeeNameTable.FullName, EmployeeNameTable.DateAV,ContactTable.HomePhone, ContactTable.MobilePhone, ContactTable.Email FROM EmployeeNameTable INNER JOIN ContactTable On EmployeeNameTable.ID = ContactTable.ID OrderBy EmployeeNameTable.FullName"

This code loads all employees Successfully but it doesn't filter them by the DateAV Column which is in Date Format.

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Jun 21, 2015

So, I have some questions about best practice in SQL Server.

1.) I have PK like this (company TINYINT, store TINYINT, action TINYINT, invoice INT, sn SMALLINT). I know JOINS will work faster with surrogate key but I have only couple of JOINS on that table. I use members of PK in WHERE clause mainly, alone and combined for reporting purpose. Is it always better to have surrogate key because they don't have any meaning and context of data laying in current PK.

2.) In my PK from above I have two candidates for using Sequence object. Invoice start with 1 for every (company,store,action) combination. Sn start with 1 for every (company,store,action,invoice) combination. I would like to know can I implement Sequence object here knowing that Sequence don't support PARTITION BY in OVER clause. From what I red it cannot be done via Sequence but I have to ask.Here is data sample for this PK

company store action invoice sn
----------- ----------- ----------- ----------- -----------
1 1 1 2017 1
1 1 1 2018 1
1 1 1 2019 1
1 1 1 2019 2
1 1 1 2019 3
1 1 2 1 1
1 1 2 2 1
1 1 2 2 2
1 1 2 2 3
1 1 2 3 1
1 1 2 3 2
1 1 2 3 3
1 1 2 3 4
1 1 2 3 5

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Populating A Surrogate Key Inside Data Flow Task

Jul 19, 2007

Hi,



I have tables like the one below for my Stage and dimension tables:



Stage Table

accountid

name

address





Dimension Table

accountkey ---- surrogate key (DW key)

accountid ---- business key (transaction's primary key)

name

address



I used slowly changing dimension to detect the changes for the records inside my Dimension table. But I had a problem when a new record exists in the stage table. The accountkey is set as the primary key and it gets its value from a different table which stores the last account key that was created. I cannot load all the changes unless i have a business key. Is there a way that i can get the "last key" from a different table in the data flow area and then supply it together with the other fields in the new output branch of the slowly changing dimension?



cherriesh



thanks!

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Apr 30, 2015

I want to create an import table for daily rows with an integer column like 20150430 for the date, called DayKey. This table would do one date per day. It would then be imported into a STAGE table which would have the same columns and would have all of the import rows for every day.My question would be this: I want to be able to have an integer Primary Key unless there is a better idea. I could make the STAGE table use an auto-incremented value for the key. Then, when I load the import table which is truncated every day, I could take the NEXT value of the key from the STAGE table and increment by 1.

Let's say the last value in STAGE is 1000, then the next value that would be in IMPORT would be 1001 and incrementing up. Then these would be added to the STAGE table with the associated keys. There is no chance of anyone or anything else adding to the STAGE table any other way.

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Sep 16, 2013

I have built a sample table, query, and results for this question. I am using SQL server.

declare @TableX Table
(
Date Date not null,
ID int not null,
Tick varchar(6) not null
)
INSERT @tableX

[Code] ....

Expected results:
DATE(No column name)count
2013-09-02LON1
2013-09-03LON1
2013-09-04LON1
2013-09-05LON1
2013-09-06LON1
2013-09-02USA2
2013-09-03USA2
2013-09-04USA2
2013-09-05USA2
2013-09-06USA2

I want to select unique country - date pairs. It is not even necessary to have the count of each one, just the list of unique country/dates.

My query here uses 'group by' to accomplish this task, but there may be a way to do this with a self join. I believe using a self join would make the query faster.

1) Is this possible to do with a self join?

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Sep 11, 2015

How do I correctly populate a fact table with the surrogate key from the dimension table?

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