Efficient JOIN Query

Mar 15, 2006

Please help me with the efficient JOIN query to bring the below result :


create table pk1(col1 int)

create table pk2(col1 int)

create table pk3(col1 int)

create table fk(col1 int, col2 int NOT NULL, col3 int, col4 int)


insert into pk1 values(1)
insert into pk1 values(2)
insert into pk1 values(3)

insert into pk2 values(1)
insert into pk2 values(2)
insert into pk2 values(3)

insert into pk3 values(1)
insert into pk3 values(2)
insert into pk3 values(3)

insert into fk values(1, 1, null, 10)
insert into fk values(null, 1, 1, 20)
insert into fk values(1, 1,null, 30)
insert into fk values(1, 1, null, 40)
insert into fk values(1, 1, 1, 70)
insert into fk values(2, 3, 1, 60)
insert into fk values(1, 1, 1, 100)
insert into fk values(2, 2, 3, 80)
insert into fk values(null, 1, 2, 50)
insert into fk values(null, 1, 4, 150)
insert into fk values(5, 1, 2, 250)
insert into fk values(6, 7, 8, 350)
insert into fk values(10, 1, null, 450)

Below query will give the result :

select fk.* from fk inner join pk1 on pk1.col1 = fk.col1 inner join pk2 on pk2.col1 = fk.col2 inner join pk3 on pk3.col1 = fk.col3

Result :
+------+------+------+------+
| col1 | col2 | col3 | col4 |
+------+------+------+------+
| 1 | 1 | 1 | 70 |
| 2 | 3 | 1 | 60 |
| 1 | 1 | 1 | 100 |
| 2 | 2 | 3 | 80 |
+------+------+------+------+

But I require also the NULL values in col1 and col3

Hence doing the below :

select distinct fk.* from fk inner join pk1 on pk1.col1 = fk.col1 or fk.col1 is null inner join pk2 on pk2.col1 = fk.col2 inner join pk3 on pk3.col1 = fk.col3 or fk.col3 is null

+------+------+------+------+
| col1 | col2 | col3 | col4 |
+------+------+------+------+
| null | 1 | 1 | 20 |
| null | 1 | 2 | 50 |
| 1 | 1 | null | 10 |
| 1 | 1 | null | 30 |
| 1 | 1 | null | 40 |
| 1 | 1 | 1 | 70 |
| 1 | 1 | 1 | 100 |
| 2 | 2 | 3 | 80 |
| 2 | 3 | 1 | 60 |
+------+------+------+------+

The above is the reqd output, but the query will be very slow if there are more NULL valued rows in col1 and col3, since I need to also use distinct if I use 'IS NULL' check in JOIN.

Please let me know if there is an aliternative to this query which can return the same result set in an efficient manner.

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Begin
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set @SQL='Delete From tblLog Where LogID Not In (Select Top ' + cast(@MaxEntries as varchar) + ' LogID from tblLog order by LogID desc)'
execute (@SQL)
End

insert into tblLog
(Message,
LogDate,
ElapsedSeconds,
LogLevel,
UserName,
ProcessName,
MachineName)
values(@Message,
@LogDate,
@ElapsedSeconds,
@LogLevel,
@UserName,
@ProcessName,
@MachineName)


I think this would be more efficient:--SQL Server
CREATEPROCEDURE spInserttblLog
@Message varchar(1024),
@LogDate datetime,
@ElapsedSeconds float,
@LogLevel varchar(50),
@UserName varchar(100),
@ProcessName varchar(100),
@MachineName varchar(100),
@MaxEntries int=0
AS

delete
fromtblLog
whereLogID < (select max(LogID) from tlbLog) - @MaxEntries - 2
and @MaxEntries > 0

insert into tblLog
(Message,
LogDate,
ElapsedSeconds,
LogLevel,
UserName,
ProcessName,
MachineName)
values(@Message,
@LogDate,
@ElapsedSeconds,
@LogLevel,
@UserName,
@ProcessName,
@MachineName)Comments, or suggestion for an even faster method? This is a relatively high-activity table, so there are a lot of inserts.

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Efficient Way Of Backing Up Data

Jan 24, 2008

We are writing an in-house backup tools. It's written in C# and the program allows me to select which records we want to archive and remove from existing database. Functionally, we can acheive what we want to do but I feel that we did not do it right. Can someone show me the right way to go? Here is what we are doing in the backup process.

1) Create an archive database (with the file name, say archive_101.mdf)
2) Move the data from orginal database to archive database using the following SQL statement
INSERT INTO [archive_database].dbo.records SELECT a, b, c, date FROM [original_database] WHERE date < CONVERT(DATETIME, '2007-10-10', 120)
3) Delete the moved data from original database.
4) Of course, step 2 and step3 are done in a transaction
5) Then, we detach the archive database and store the file "archive_101.mdf somewhere.

I felt it's wrong because the performance is very bad. If I run the select statement, it takes me 1 min to dump all the data to console. If I run the same SELECT statement together with INSERT INTO, like what I wrote in step 2, it takes me more than 1 hour to write to another database. I checked the tempdb and its size does grow a lot when I am doing step 2. I know the data I am selecting is about 500MB large but still, it should not take that long. Can somebody give me any hints?

Thanks in advance.

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Which Is More Efficient To Use: Joins Or SubQuery

Aug 28, 2007

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DELETE Query - Can't JOIN. Need Sub-query?..

Mar 30, 2007

I need to run a DELETE query based on 2 tables. I can't use JOIN with delete queries, so how do I do this?

What I initially tried to do was:

Code:

DELETE FROM tblProductState
JOIN tblProduct
ON tblProduct.id_Product = tblProductState.id_Product
WHERE tblProductState.id_State = 54 AND tblProduct.id_ProductType = 1


Basically, I need to delete FROM tblProductState, WHERE tblProductState.id_State = 54 AND tblProduct.id_ProductType = 1

How can I do this without using JOIN. Use a sub-query? How?

Thanks

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