Compond Index And Key Faster/better?

Aug 31, 2005

In a situation where you have two tables in a hierarchy like this:

create table authors (authorid int identity (1,1))

create table books (
authorid int,
bookid int identity (1,1)
)

Is there any disadvantage to having the primary key and the clustered
index as a compound key, like this:

alter table books add constraint PK_books primary key clustered
(authored, bookid)

Normally, I would make bookid the key, but then I got to thinking, most
of the queries are going to be "select * from books where authorid =
@@some_authorID"

So, wouldn't a compound key and index make this a little faster?

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Difference Between Index Seek && Index Scan && Index Lookup Operations?

Oct 20, 2006

please explain the differences btween this logical & phisicall operations that we can see therir graphical icons in execution plan tab in Management Studio

thank you in advance

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Mar 28, 2007

hi all,    if i have a comma delimited string and want to insert each delimited substring into a table which of the following way is faster?pass the whole string into the a stored procedure and loop through the delimited string and pick out the substring and insert into the table orloop and pass the substring into a stored procedure and insert N times?or any other better ways someone could suggest me to do thanks! 

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Jul 27, 2001

i have a query that i can use either and get the same results. i just need to shave some time off... which is faster the LIKE or IN () ???

thanks

kim

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Jan 16, 2006

I was just wondering if this can be done any faster? code-wise that is...

Don't mind the converts, can't do without them, as the data discipline for the source table isn't always reliable, while I have to be absolutely sure the destination data ends in the required format.



UPDATE MATCH_basistabel
SET MATCH_basistabel.matchfelt = convert(varchar(50),ALL_tbl_medlemsinfo.søgenavn),
MATCH_basistabel.søgenavn = convert(varchar(50),ALL_tbl_medlemsinfo.søgenavn),
MATCH_basistabel.medlemsnavn = convert(varchar(50),ALL_tbl_medlemsinfo.medlemsnav n),
MATCH_basistabel.medlemsnavn2 = convert(varchar(50),ALL_tbl_medlemsinfo.medlemsnav n2),
MATCH_basistabel.medlemsnummer = ALL_tbl_medlemsinfo.medlemsnummer,
MATCH_basistabel.nationalitet = convert(varchar(10), ALL_tbl_medlemsinfo.nationalitet),
MATCH_basistabel.organisationsnummer = convert(varchar(10),ALL_tbl_medlemsinfo.organisati onsnummer),
MATCH_basistabel.medlemskab = convert(varchar(20), ALL_tbl_medlemsinfo.medlemskab),
MATCH_basistabel.ipdn = ALL_tbl_medlemsinfo.ipdn,
MATCH_basistabel.ipdnroll = convert(varchar(20), ALL_tbl_medlemsinfo.ipdroll),
MATCH_basistabel.franavision = 1
FROM MATCH_basistabel, ALL_tbl_medlemsinfo
WHERE isnumeric(matchfelt) = 1
AND (convert(int, MATCH_basistabel.matchfelt) = convert(int, ALL_tbl_medlemsinfo.medlemsnummer)
AND MATCH_basistabel.franavision = 0)

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Run Faster

Feb 17, 2006

Hi Guys,

I have SQL file but it run slowly when comes to huge record. How do I make it faster. I do create an index but how to make use the index? Pls help me on this...

Many Thanks,

Regards,
Shaffiq

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Jun 18, 2007

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Jul 20, 2005

I'm sonewhat new to MS SQL Server and I'm wondering about which of thefollowing two queries would be faster:DECLARE @ResidencesBuilt intDECLARE @BarracksBuilt intDECLARE @AirBaysBuilt intDECLARE @NuclearPlantsBuilt intDECLARE @FusionPlantsBuilt intDECLARE @StarMinesBuilt intDECLARE @TrainingCampsBuilt intDECLARE @FactoriesBuilt intSELECT@ResidencesBuilt = SUM(CASE WHEN BuildingType = 0 THEN Built END),@BarracksBuilt = SUM(CASE WHEN BuildingType = 1 THEN Built END),@AirBaysBuilt = SUM(CASE WHEN BuildingType = 2 THEN Built END),@NuclearPlantsBuilt = SUM(CASE WHEN BuildingType = 3 THEN Built END),@FusionPlantsBuilt = SUM(CASE WHEN BuildingType = 4 THEN Built END),@StarMinesBuilt = SUM(CASE WHEN BuildingType = 5 THEN Built END),@TrainingCampsBuilt = SUM(CASE WHEN BuildingType = 6 THEN Built END),@FactoriesBuilt = SUM(CASE WHEN BuildingType = 7 THEN Built END)FROM BuildingsGROUP BY kdIDHAVING kdID = 2902Or:DECLARE @ResidencesBuilt intDECLARE @BarracksBuilt intDECLARE @AirBaysBuilt intDECLARE @NuclearPlantsBuilt intDECLARE @FusionPlantsBuilt intDECLARE @StarMinesBuilt intDECLARE @TrainingCampsBuilt intDECLARE @FactoriesBuilt intSET @ResidencesBuilt = (SELECT Built FROM Buildings WHERE BuildingType = 0AND kdID = 2902)SET @BarracksBuilt = (SELECT Built FROM Buildings WHERE BuildingType = 1 ANDkdID = 2902)SET @AirBaysBuilt = (SELECT Built FROM Buildings WHERE BuildingType = 2 ANDkdID = 2902)SET @NuclearPlantsBuilt = (SELECT Built FROM Buildings WHERE BuildingType =3 AND kdID = 2902)SET @FusionPlantsBuilt = (SELECT Built FROM Buildings WHERE BuildingType = 4AND kdID = 2902)SET @StarMinesBuilt = (SELECT Built FROM Buildings WHERE BuildingType = 5AND kdID = 2902)SET @TrainingCampsBuilt = (SELECT Built FROM Buildings WHERE BuildingType =6 AND kdID = 2902)SET @FactoriesBuilt = (SELECT Built FROM Buildings WHERE BuildingType = 7AND kdID = 2902)The data source is:kdID BuildingType Built2902 6 02902 7 02902 4 02902 0 802902 2 02902 1 52902 3 402902 5 10Or:CREATE TABLE [dbo].[Buildings] ([kdID] [int],[BuildingType] [tinyint],[Built] [int])INSERT INTO Buildings (kdID, BuildingType, Built) VALUES (2902, 0, 80)INSERT INTO Buildings (kdID, BuildingType, Built) VALUES (2902, 1, 5)INSERT INTO Buildings (kdID, BuildingType, Built) VALUES (2902, 2, 0)INSERT INTO Buildings (kdID, BuildingType, Built) VALUES (2902, 3, 40)INSERT INTO Buildings (kdID, BuildingType, Built) VALUES (2902, 4, 0)INSERT INTO Buildings (kdID, BuildingType, Built) VALUES (2902, 5, 10)INSERT INTO Buildings (kdID, BuildingType, Built) VALUES (2902, 6, 0)INSERT INTO Buildings (kdID, BuildingType, Built) VALUES (2902, 7, 0)Analyzer says the first would be faster, but it has a lot of SUM()'s andwhatnot so I'm not too sure about this. There are also about 1000 rows inthe actual Buildings table. This will be a part of a stored procedure.

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May 7, 2007

I want to know the # of users on our web site for each month in a given year. I'm looking for a faster way to do this--perhaps one that can leverage an index instead of reading the entire table! (My avg disk queue right now is above 7 and the query takes about 90 seconds).



Here's my current SP. Basically I'm calculating each month/year and using UNION to join them together, then pivot to rotate.



USE [TNS]

GO

/****** Object: StoredProcedure [dbo].[Unique_Login_IPs] Script Date: 05/07/2007 12:38:52 ******/

SET ANSI_NULLS ON

GO

SET QUOTED_IDENTIFIER ON

GO

-- =============================================

-- Author: <Author,,Name>

-- Create date: <Create Date,,>

-- Description: <Description,,>

-- =============================================

ALTER PROCEDURE [dbo].[Unique_Login_IPs]

(

@year1 int,

@year2 int

)

AS

BEGIN

SET NOCOUNT OFF;



-- Define the years for testing purposes

set @year1 = 2006

set @year2 = 2007



SELECT month,[2006] as y2006,[2007] as y2007

FROM

(

SELECT @year1 AS year, 1 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year1) AND (MONTH(logged) = 1)) as tmpy1_1

UNION

SELECT @year1 AS year, 2 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog AS servicelog_1

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year1) AND (MONTH(logged) = 2)) as tmpy1_2

UNION

SELECT @year1 AS year, 3 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year1) AND (MONTH(logged) = 3)) as tmpy1_3

UNION

SELECT @year1 AS year, 4 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog AS servicelog_1

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year1) AND (MONTH(logged) = 4)) as tmpy1_4

UNION

SELECT @year1 AS year, 5 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year1) AND (MONTH(logged) = 5)) as tmpy1_5

UNION

SELECT @year1 AS year, 6 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog AS servicelog_1

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year1) AND (MONTH(logged) = 6)) as tmpy1_6

UNION

SELECT @year1 AS year, 7 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year1) AND (MONTH(logged) = 7)) as tmpy1_7

UNION

SELECT @year1 AS year, 8 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog AS servicelog_1

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year1) AND (MONTH(logged) = 8)) as tmpy1_8

UNION

SELECT @year1 AS year, 9 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year1) AND (MONTH(logged) = 9)) as tmpy1_9

UNION

SELECT @year1 AS year, 10 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog AS servicelog_1

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year1) AND (MONTH(logged) = 10)) as tmpy1_10

UNION

SELECT @year1 AS year, 11 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year1) AND (MONTH(logged) = 11)) as tmpy1_11

UNION

SELECT @year1 AS year, 12 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog AS servicelog_1

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year1) AND (MONTH(logged) = 12)) as tmpy1_12

UNION

SELECT @year2 AS year, 1 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year2) AND (MONTH(logged) = 1)) as tmpy1_1

UNION

SELECT @year2 AS year, 2 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog AS servicelog_1

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year2) AND (MONTH(logged) = 2)) as tmpy2_2

UNION

SELECT @year2 AS year, 3 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year2) AND (MONTH(logged) = 3)) as tmpy2_3

UNION

SELECT @year2 AS year, 4 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog AS servicelog_1

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year2) AND (MONTH(logged) = 4)) as tmpy2_4

UNION

SELECT @year2 AS year, 5 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year2) AND (MONTH(logged) = 5)) as tmpy2_5

UNION

SELECT @year2 AS year, 6 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog AS servicelog_1

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year2) AND (MONTH(logged) = 6)) as tmpy2_6

UNION

SELECT @year2 AS year, 7 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year2) AND (MONTH(logged) = 7)) as tmpy2_7

UNION

SELECT @year2 AS year, 8 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog AS servicelog_1

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year2) AND (MONTH(logged) = 8)) as tmpy2_8

UNION

SELECT @year2 AS year, 9 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year2) AND (MONTH(logged) = 9)) as tmpy2_9

UNION

SELECT @year2 AS year, 10 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog AS servicelog_1

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year2) AND (MONTH(logged) = 10)) as tmpy2_10

UNION

SELECT @year2 AS year, 11 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year2) AND (MONTH(logged) = 11)) as tmpy2_11

UNION

SELECT @year2 AS year, 12 AS month, COUNT(*) AS cnt

FROM (SELECT DISTINCT ipaddress

FROM servicelog AS servicelog_1

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year2) AND (MONTH(logged) = 12)) as tmpy2_12

) piv

PIVOT

(

SUM(cnt)

FOR year IN

([2006],[2007])

) as child

END

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May 14, 2007

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Jun 20, 2007

Hi y'all,
I've recently run a profiler on my code and following query took 7 seconds:
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Is it possible to rewrite this so my code gets faster? It's also possible that it's due to the size of the table?
Thanks in advance! I'll let you know how long your query takes :)

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Apr 8, 2008

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 Simple Example of Code is:
DECLARE MyVARABLES 1 to X
DECLARE c1 CURSOR
FOR
SELECT MyData1, MyData2 to X
FROM MyTable
FOR UPDATE OF MyUpdateData
--Start Cursor
OPEN c1
FETCH NEXT FROM c1
INTO MyVariables
--LOOP
WHILE @@FETCH_STATUS = 0
BEGIN
-----------------------
-- Get other rows data to add to this rows data ......GUESSING THIS IS THE SLOW PART as the table is LARGESELECT MyVar1 = MyData1
FROM MyTable
WHERE MyTableColumns = MyVariables AND MyTableColumns2 <> MyVariables2  --FINDS OTHER ROW (I have three of these)   

--Calculate & Update
If MyVarable = 'this or that'
BEGIN
UPDATE MyTable
SET MyUpdateData = MyVar1 * x *y WHERE CURRENT OF c1
END
-------------------
-- NextFETCH NEXT FROM c1
INTO MyVarables 1 to xEND
CLOSE c1
DEALLOCATE c1

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Mar 31, 2004

Hi!
I M basically an application developer & use simple sql queries in my programmings. I do not have much idea abt tuning/auditing part & thatswhy i m unable to answer them properly in my interviews. Can anybody give me some tips?????

Question 1:
In a stored procedure, One SELECT stmt is there & depending upon the @rowcount, it updates around 14000 records which is also written inside this stored procedure. Instead of writing this way, there is some other way which is faster than this. Can anybody tell me the correct way???

Question 2:Can anybody give me few examples like this?????? I need them desparetly.

Thanx. Bye.

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public class DataTransaction
{
private bool blnError = false;
private ArrayList arrErrorList = new ArrayList();
private SqlConnectionobjConnection = new SqlConnection(System.Configuration.ConfigurationSettings.AppSettings["ConnectionString"].ToString());
private SqlTransactionobjTransaction;

public DataTransaction()
{
objConnection.Open();
objTransaction = objConnection.BeginTransaction();
}
~DataTransaction()
{
if(objTransaction.Connection != null)
{
objTransaction = null;
objConnection.Close();
}
}

public int ExecuteNonQuery(string Query)
{
int intRowsAffected = -1;

SqlCommand objCommand = new SqlCommand(Query, objConnection, objTransaction);

try
{
intRowsAffected = objCommand.ExecuteNonQuery();
}
catch(Exception e)
{
blnError = true;
arrErrorList.Add(e.ToString());
}
finally
{
objCommand.Dispose();
}
return intRowsAffected;
}

public System.Object ExecuteScalar(string Query)
{
System.Object objToReturn = null;

SqlCommand objCommand = new SqlCommand(Query, objConnection, objTransaction);

try
{
objToReturn = objCommand.ExecuteScalar();
}
catch(Exception e)
{
blnError = true;
arrErrorList.Add(e.ToString());
}
finally
{
objCommand.Dispose();
}
return objToReturn;
}
public bool Commit()
{
if(!blnError)
{
objTransaction.Commit();
return true;
}
else
{
objTransaction.Rollback();
return false;
}
objConnection.Close();
}
}

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Dec 20, 2004

Hi,

Previosuly I was executing 2 DTS packages one afte the other manually and together they took a CONSIDERABLE time. The 1st one was pulling data from the OLPT, doing transformations and populating the tables in my Datamart and the 2nd one was doing a FULL process of all the dimensions and cubes.

However I tried scheduling the DTSs as jobs and havethen merged the 2 resulting jobs as a SINGLE job having 2 sequential steps. To my surprise the resulting job takes less than half the time (actually even lesser) as compared with my original approach i.e. running the DTSs. And I am talking about major improvement in terms of completion of the tasks here :)

Am i getting over excited here or is this natural? I assume that if this is correct then jobs much be some sort of "compiled" version as compared to DTS and maybe that's why I have this terrific improvement in terms of execution times.

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Jul 26, 2006

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If I run each query once and display the difference between start and end time, they display 0. If I run each one 100, 200, etc times I get different results each time.

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Jun 17, 2004

Hypothetically,

If I had a WHERE clause that had to compare a string to another string would it be faster one way or another if I broke it down to three different, smaller searches?

An example:


WHERE a = 'abc'
OR a = 'def'
OR a = 'ghi'

as opposed to:

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ddave

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Dec 20, 2004

Hi,

Previosuly I was executing 2 DTS packages one afte the other manually and together they took a CONSIDERABLE time. The 1st one was pulling data from the OLPT, doing transformations and populating the tables in my Datamart and the 2nd one was doing a FULL process of all the dimensions and cubes.

However I tried scheduling the DTSs as jobs and havethen merged the 2 resulting jobs as a SINGLe job having 2 sequential steps. To my surprise the resulting job takes less than half the time (actually even lesser) as compared with my original approach i.e. running the DTSs.

Am i getting over excited here or is this natural? I assume that if this is correct then jobs much be some sort of "compiled" version as compared to DTS and maybe that's why I have this terrific improvement in terms of execution times.

I'll appreciate comments. Thanks

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Feb 23, 2006

A little background on my database structure:

I have a live database and an archive database. I update the archive tables once a day from the live tables using:

INSERT INTO arc_table
SELECT * FROM cur_table AS cur
WHERE NOT EXISTS
(SELECT * FROM arc_table AS arc
WHERE arc.key = cur.key)

GO


This inserts newer records into the archive tables from the live tables.


I have two different methods to clean the live tables once a week but keep data from the previous week. Both methods have been verified to delete the same rows.


DELETE cur_table
WHERE EXISTS
(SELECT key FROM arc_table AS arc
WHERE arc.key = cur_table.key)
AND date_time < GetDate() - 7

GO


Second method modified from BOL - deletes identical rows


DELETE cur_table
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GO


I read that "WHERE [NOT] EXISTS" is faster than "WHERE [NOT] IN" but this is the first time I have seen DELETE xx FROM (SELECT ----)

I'd like to know which procedure will be faster and/or better.

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I see hte following negative: I can not easily batch multiple inserts. Parameters have to be unique per batch. So, if I want to batch two inserts, I need two sets of parameters.

Alternative:

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What Is Faster, BCP, DTS, Bulk Insert?

Dec 9, 1998

We intend to import up to 20+ GB of data into a database that will be a snapshot of month end data. The database tables must be dropped and then recreated just prior to importing the data. We are investigating BCP, DTS, and Bulk Insert. What is the fastest method for importing data given our approach?

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Faster Restoration Of Backup.

Dec 16, 2005

Hello friends,

Kindly guide, if you are aware of any mechanism for restoring the differential backup only.

This can save a lot of time other than restoring complete database.

Thanks in advance.

Shrirang

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Clearing Out Tempdb Faster?

Feb 21, 1999

Hello:

We have been testing a new vendor_purchased application and are now
running some month-end processes/jobs now. One of the processes that we
kicked off stopped when a 2gb tempdb filled up with only 5mb or so remaini
g. In reviewing what happened, I noticed that tempdb is in the process of
clearing itself out slowly when we restarted the process. The database has
80% of its disk space remaining and the transaction log has also 75%
remaining.

My questions are:

1) Although I don't think so, is there nay way of speeding up the process
of tempdb clearing out the data in it?

2) We will need to examine what sql code the vendor has used that caused
this to happen. Aside from group by and order by, if there are a lot of
'select into' code, what alternatives do we have?

Any information that can be provided will be fine. THanks in advance.


DAvid Spaisman

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Help Make Query Run Better (faster)

Mar 20, 2007

I need help makeing the following query run more efficently.


Code:


SELECT t1.ID,t1.firstName,t1.lastName,t1.address,t1.city,t1.state, t1.zip,t1.locationAddress,t1.locationCity,t1.locationState,t1.locationZip
FROM Landlord_tbl t1
left outer join Mail_tbl t2
ON t2.potentialSitesID = t1.potentialSitesID
WHERE t2.mailed_out_date is null and NOT(t1.firstName+t1.lastName) is Null
GROUP BY t1.ID,t1.firstName,t1.lastName,t1.address,t1.city,t1.state, t1.zip,t1.locationAddress,t1.locationCity,t1.locationState,t1.locationZip
ORDER BY t1.firstName, t1.lastName, t1.city, t1.state

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SQL 2012 :: Faster Disk For MDF Or LDF?

Jul 31, 2014

We have a couple of 200GB databases that are recreated each night on a SQL2012 server connected to a disk array. The SQL disk is an auto-tiered combo of 10k and 7k drives in a RAID1 lun, and both data and log files are there.

Recently, some room has opened up on an older array that contains smaller, but many, 15k drives that I could use in a RAID1 config. Being that I'd like to split up the mdf and ldf files, which would you put onto the new (faster) disk?

EDIT: Add'l info: the only current performance issues I see in the SQL Log are FlushCache messages occuring throughout the night, when all activity happens for this DB. Things like this: "FlushCache: cleaned up 388690 bufs with 23474 writes in 409743 ms (avoided 179747 new dirty bufs) for db 47:0"

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Is SQL 2005 Faster Then SQL2000?

Oct 2, 2007

We have a financial accounting system that has been certified for SQL 2005. Before I upgrade, I'm wondering if I should expect better/faster performance from SQL 2005 vs. SQL 2000?

Anything I should lookout for when upgrading to SQL 2005?

Thanks, Al

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