Horizontal Partitioning Question

Jul 20, 2005

I recently came across a database where the data are horizonally partitioned
into 4 tables. I'm not sure if this was a poor design choice, or if it was
done for valid performance reasons. The schema of the tables are essentially
the same, it's just that they are named differenly and the columns are named
differenlty to differentiate the data from a business usage perspective. The
tables could easily be combined inot one by adding a new colum to the
clustered index that would be used to differentiate the business usage. I am
trying to evaluate whether combining the tables would improve performance or
if it would be better to leave them the way they are. Many queries that run
against these tables do not request records from more than one of the
tables, which is good. However, there are a number of processes that query
against all of the tables on the identical clustered index range. I am not
sure exactly how many rows are in the tables but I'm fairly certain the
entire database is < 50 GB.

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What Does Mean By Horizontal Partitioning ?

Mar 7, 2008

Hello frnds......what does mean by Horizontal Partitioning ?

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Jan 17, 2001

HI, I'm testing out partitioning for an upcoming project and I'm a little confused over the query plan im generating.

I have a 13 million row table I want to break in to date ranges:
tables are calljrnl,calljrnl_1999 and calljrnl_2000. The calljrnl table contains data for the last six months. one view, calljrnl_view is a union all of these three tables.

alter table calljrnl add constraint dt_constraint check (cj_created_dt >= '2000-10-01 00:00:00')

alter table calljrnl_1999 add constraint dt_constraint_1999 check (cj_created_dt <='1999-12-31 23:59:59')

alter table calljrnl_2000 add constraint dt_constraint_2000 check (cj_created_dt >='2000-01-01 00:00:000')

alter table calljrnl_2000 add constraint dt_constraint_2000_2 check (cj_created_dt <='2000-09-30 23:59:59')


The problem I'm having is that when I query on any date range outside the constraints set on the calljrnl_2000 table, It still wants to scan the calljrnl_2000 table.
I'm assuming this has something to do with how the constraints are structured, but I am not able to find the right combination.

ALL HELP IS GREATLY APPRECIATED!!!!

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If I have the raw data dumped into a big table as following:

Date P R M E Date P R M E Date P R M E Date P R M E
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...
1/1/05 1 2 3 4 1/1/05 2 3 4 5 1/1/05 3 4 5 6 1/1/05 4 5 6 7

And this table has a repeating block [D, P, R, M,E] 300 times. Is it possible to write a loop query/stored procedures/triggers (or whatever it is) to read each repeating block and stack them on top of each other to insert into another table which has the same structure as following?

Look like this?
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1/1/90 1 2 3 4
...
1/1/05 1 2 3 4
1/1/90 2 3 4 5
...
1/1/05 2 3 4 5
1/1/90 3 4 5 6
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If there is a solution would you please elaborate, example?
Thank you for the help.
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Hello all,Thinking about building a new database in the enterprise addition ofsql server and using some horizontal parititioning techniques in orderto accomaodat what will eventually be a monster huge database.Can you share some hard earned experience, gotchas, etc...with me? Wewill be setting up this server on a SAN array that will be made up ofjust one or two huge virtual RAID10 volumes and I am also wonderingabout the wisdom of this? Its simple and should work, but is thatconfig relevant in any way specifically to our plan to partition?

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Mar 7, 2008

Sorry for the earliear question as itself is wrong ?

This is a right questions and what does it mean by ?

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Apr 16, 2002

I am testing horizontal partitions to see whether it is a feasible
option for a project. IF I have a composite Primary Key and the
constraint column (a part of the Primary Key) that helps the
partitioned view is defined with DateTime Data Type, select on a restricted set of data through a partitioned view still tries to access all the tables instead of just one table that contains the data. Is this the case or am I
missing something ?

Any help on this is appreciated.


Here is what I am trying to do.

************************************************** **************

CREATE TABLE [dbo].[tst01] (
[Dt] datetime NOT NULL ,
[TID] int NOT NULL ,
[Nm] [char] (10) COLLATE SQL_Latin1_General_CP1_CI_AS NOT NULL
) ON [PRIMARY]
GO

CREATE TABLE [dbo].[tst02] (
[Dt] datetime NOT NULL ,
[TID] int NOT NULL,
[Nm] [char] (10) COLLATE SQL_Latin1_General_CP1_CI_AS NOT NULL
) ON [PRIMARY]
GO

ALTER TABLE [dbo].[tst01] ADD
CONSTRAINT [PK_tst01] PRIMARY KEY CLUSTERED
(
[Dt], [TID]
) ON [PRIMARY]
GO

ALTER TABLE [dbo].[tst02] ADD
CONSTRAINT [PK_tst02] PRIMARY KEY CLUSTERED
(
[Dt], [TID]
) ON [PRIMARY]
GO

ALTER TABLE [dbo].[tst01] ADD
CONSTRAINT [CK_tst01] CHECK (Dt between '11/1/2002' and '11/30/2002')
GO

ALTER TABLE [dbo].[tst02] ADD
CONSTRAINT [CK_tst02] CHECK (Dt between '12/1/2002' and '12/31/2002')
GO


insert into tst01 values('11/1/2002', 1, 'SS')
insert into tst01 values('11/2/2002', 2, 'KK')
insert into tst01 values('11/3/2002', 3, 'DD')
Go

insert into tst02 values('12/1/2002', 1, 'LL')
insert into tst02 values('12/2/2002', 2, 'MM')
insert into tst02 values('12/3/2002', 3, 'GG')
Go


CREATE VIEW vtst AS
SELECT * FROM tst01
UNION ALL
SELECT * FROM tst02
Go

SELECT * FROM vtst WHERE dt = '11/1/2002'

************************************************** *********

When I look at the Execution Plan, it shows that clustered index seek
would be performed on both the tables.


StmtText
---------------------------------------------------------------------------------------------------------------------------------
|--Concatenation
|--Filter(WHERE:(STARTUP EXPR(Convert([@1])<='Nov 30 2002
12:00AM' AND Convert([@1])>='Nov 1 2002 12:00AM')))
| |--Clustered Index
Seek(OBJECT:([test].[dbo].[tst01].[PK_tst01]),
SEEK:([tst01].[Dt]=Convert([@1])) ORDERED FORWARD)
|--Filter(WHERE:(STARTUP EXPR(Convert([@1])<='Dec 31 2002
12:00AM' AND Convert([@1])>='Dec 1 2002 12:00AM')))
|--Clustered Index
Seek(OBJECT:([test].[dbo].[tst02].[PK_tst02]),
SEEK:([tst02].[Dt]=Convert([@1])) ORDERED FORWARD)


Thanks,
Sathish

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