I've a db containing two tables which every item in table one is
linked to 1--200 items in table 2.
I want to generate a report like this:

Item in table 1
---------------------------------------
1st-related Item in table2
2nd related Item in table2
3rd related Item in table2
....
Nth related Item in table2
----------------------------------------


to do, I've generated a third table with a text-column to hold the
report text. Using an small procedure, I'v generated reports for all
items in table 1 and stored the text in the respective column.

Now, querying the third table take 100 times longer than joining
first and second tables.
the third table contains a single ID field which is a unique index.
the query for two table scenario and single table scenario are:


q1: select table2.* from table1 inner join table2 on table1.Id=
table2.Id where table2.id = <anid>

q2: select table3.* from table3 where Id = <anid>

Any Idea about the poor performance of the second query ?

To have a better idea for the comparison of the queries, it would be
nice to have some information on the index structures of table1 and
table2. I assume they are also indexed based on their id columns. This
gives the query engine the option to construct the result set at the
same time when it uses the indexes to join and filter the id columns.
It's like a covering index and sql server takes good advantage of this
index combining feature.
When it comes to table3, there are two cons:
1. table3 is much more wider, because of the second column. Especially
if it exceeds 8K (which is the size of each page), then extended
reads occur to return the value from the second column.
2. And because the second column is not part of the index, it should
be read from the disk, while when two narrow tables were joined, as
mentioned above, the list of related items to form the second column
of the result set is likely to be already in the cache, when running
the query.

If the intenion is having a outline-style report which shows 1-200
items from table2 for each single item from table1, it would be worth
to consider this kind of outlining on the client side (e.e. using
reporting services) instead of creating table3.

To have a better idea for the comparison of the queries, it would be
nice to have some information on the index structures of table1 and
table2. I assume they are also indexed based on their id columns.
This
gives the query engine the option to construct the result set at the
same time when it uses the indexes to join and filter the id columns.
It's like a covering index and sql server takes good advantage of
this
index combining feature.

When it comes to table3, there are two cons:
1. table3 is much more wider, because of the text-column to hold the
report text. Especially if it exceeds 8K (which is the size of each
page), then extended
reads occur to return the value from that column.

2. And because the text-column to hold the
report text is not part of the index, it should
be read from the disk, while when two narrow tables were joined, as
mentioned above, the list of related items to form the report text
column
of the result set is likely to be already in the cache, while running
the query.

If the intention is having an outlined-style report which shows 1-200
items from table2 for each single item from table1, it would be worth
to consider this kind of outlining at middle tier or client side (e.g.
using
reporting services) instead of creating table3.

mansoorm (muharram@gmail.com) writes:

I've a db containing two tables which every item in table one is
linked to 1--200 items in table 2.
I want to generate a report like this:
>
Item in table 1
---------------------------------------
1st-related Item in table2
2nd related Item in table2
3rd related Item in table2
...
Nth related Item in table2
----------------------------------------
>
>
to do, I've generated a third table with a text-column to hold the
report text. Using an small procedure, I'v generated reports for all
items in table 1 and stored the text in the respective column.
>
Now, querying the third table take 100 times longer than joining
first and second tables.
the third table contains a single ID field which is a unique index.
the query for two table scenario and single table scenario are:
>
>
q1: select table2.* from table1 inner join table2 on table1.Id=
table2.Id where table2.id = <anid>
>
q2: select table3.* from table3 where Id = <anid>
>
Any Idea about the poor performance of the second query ?

First of all, it's not obvious why you should have this third table
in the first place.

Second, did you define any primary key for table3 that includes the id?



--
Erland Sommarskog, SQL Server MVP, esquel@sommarskog.se

Links for SQL Server Books Online:
SQL 2008: http://msdn.microsoft.com/en-us/sqlserver/cc514207.aspx
SQL 2005: http://msdn.microsoft.com/en-us/sqlserver/bb895970.aspx
SQL 2000: http://www.microsoft.com/sql/prodinf...ons/books.mspx

1- I thought that generating the report text and storing it may speed
up the report generation upon request.
2-Yes ; all the tables have their id column defined as primary key.

Thanks for the comments. then the disk I/O is the problem ?

mansoorm (muharram@gmail.com) writes:

1- I thought that generating the report text and storing it may speed
up the report generation upon request.

It does not seem like it did.

2-Yes ; all the tables have their id column defined as primary key.

I think you need to post the CREATE TABLE statements and your queries.
Else we will just keep on guessing.
--
Erland Sommarskog, SQL Server MVP, esquel@sommarskog.se

Links for SQL Server Books Online:
SQL 2008: http://msdn.microsoft.com/en-us/sqlserver/cc514207.aspx
SQL 2005: http://msdn.microsoft.com/en-us/sqlserver/bb895970.aspx
SQL 2000: http://www.microsoft.com/sql/prodinf...ons/books.mspx

Mansoorm,

1- I thought that generating the report text and storing it may speed up the report generation upon request. <

The downside is that you always have to populate this third table and
if the underlying data in table one and two changed, your report is
outdated.

Report creators such as microsoft report viewer or crystal reports can
easily work without such an intermediate table. You would usually pass
something like

Table1Value | DependingTable2Value

Then a grouping can be done in the front end (i. e. the report
creator).

brgds

Philipp Post

>I've a db containing two tables which every item in table one is linked [sic] to 1--200 items in table 2. <<

In RDBMS we have references; links is a concept from older network
databases.

Item in table 1
---------------------------------------
1st-related Item in table2
2nd related Item in table2 <<

Another conceptual error! Tables have no ordering, so ordinal
numbering makes no sense. That is from file systems or network
databases.

The purpose of SQL is to return data. Period. It is not for
formatting it for display. You are still writing COBOL programs in
RDBMS. This is why we have report writers and front end
applications.

An index is not exposed to the user; did you mimic a sequential file
by using some silly auto-numbering scheme? There is no such thing as
a magical, universal "id" data element in a correct data model; each
identifier is for a *particular* kind of entity.

Please stop writing 1950's COBOL in SQL. What you have done is take
an automobile and hitched your old horse to it.

> 2-Yes ; all the tables have their id column defined as primary key. <<

Yep, you have no idea what RDBMS is and are still writing file systems
in SQL. Please stop coding until you can read a book or take a class
on the basics.

And if this magical, universal "id" is an IDENTITY it is not a column;
it is a physical table property, which you should call "physical
sequential insertion attempt count" instead.