DROP Vs TRUNCATE Which Is Faster?

Drop PK And Query Runs Faster. Why?

I have a query which joins multiple tables. This query has suddenly begun to take up to 2 minutes to run (vs. 5-10 seconds previously).

No major change in number of records in the tables (currently about 220,000). When I remove the PK from one of the tables which then forces a tablescan, the query returns to running in 5-10 seconds. If I add the PK back, performance is back to 2 minutes.

Any suggestions short and/or long term?

Thanks for any help.

Temporarily Drop FOREIGN KEY Constraints To Truncate A Table After Testing

 
I am testing Insert, Update etc. and messing up my database with "dirty" data. Is there a way to temporarily drop FOREIGN KEY constraints to truncate a table after testing without dropping the whole table and rebuilding it?
Newbie

Truncate Table Vs. Drop Table

I am trying to get some information to compare and contrast theTruncate Table function and the Drop Table function. I know thatusing Truncate Table is faster and saves the structure of the tablewhile the Drop Table will delete the table totally (data andstructure). My question is whether using one function over the otherwill use up more capacity on the server?Ed

'Truncate' Command Doesn't Truncate Enough

With a database size of almost 2 GB, I run the 'truncate table eventlog command' which completes successfully, but the database size only decreases by about 10 MB so stays too large - indeed the number of rows in the eventlog table is minimal, but the otehr tables in this database don't show such an amount of tables large enough to cause the size issue either. What could be the reason and how can I reduce it (possibly truncating another table but then which one, how could I determine which is too large and needs truncating?).

Drop All Indexes In A Table, How To Drop All For User Tables In Database

Hi,I found this SQL in the news group to drop indexs in a table. I need ascript that will drop all indexes in all user tables of a givendatabase:DECLARE @indexName NVARCHAR(128)DECLARE @dropIndexSql NVARCHAR(4000)DECLARE tableIndexes CURSOR FORSELECT name FROM sysindexesWHERE id = OBJECT_ID(N'F_BI_Registration_Tracking_Summary')AND indid 0AND indid < 255AND INDEXPROPERTY(id, name, 'IsStatistics') = 0OPEN tableIndexesFETCH NEXT FROM tableIndexes INTO @indexNameWHILE @@fetch_status = 0BEGINSET @dropIndexSql = N' DROP INDEXF_BI_Registration_Tracking_Summary.' + @indexNameEXEC sp_executesql @dropIndexSqlFETCH NEXT FROM tableIndexes INTO @indexNameENDCLOSE tableIndexesDEALLOCATE tableIndexesTIARob

To Truncate Or Not To Truncate: That Is The Question..

Hi all...

Please forgive the elementary nature of my question, but could someone please explain the differences between these two database backup types:

1. Log backup
2. Log backup no truncate



From what I understand and have read, the "no truncate" backup method keeps the entire transaction log indefinitely. Using the truncation method, the transaction log is either 1) compressed or 2) cleaned up so that any completed transactions are removed from the log. Which one of these is true?


And, for the big question: is it better to run a backup of the transaction log with truncation or not? Our current backup scheme is similar to the following:


Full backup every 24 hours
transaction log backup every hour with no truncation


Should we insert a truncation backup somewhere in here? What is the danger of removing (or compressing) parts of the transaction log? Will this affect the restore process?


Thanks in advance!

Which Would Be Faster ?

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! 

Which Is Faster LIKE Or IN

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

Can This Be Done Faster?

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)

Run Faster

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

NEED TO GO FASTER

Which Is Faster?

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.

Faster Way To Do This?

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

Sqldatasource Faster Than DAL???

Hi all, I m new to this forum and this is my first question. I m having 2 pages in my web site ... page 1 query directly to db using sqldatasource, the second page query through a BLL then DAL by following the step in this tutorial (http://www.asp.net/learn/dataaccess/tutorial02vb.aspx?tabid=63)....  Page 1 is using a "Like" query search and the Page 2 is the normal displaying some product detail.... Under normal circumstances, one will expect Page 1 will be way fastest than the Page 2... however the problem is Page 1 is in thunder speed while Page 2 takes 10 secs to load... 10 seconds is really not acceptable... I really couldnt figure out what happens... both Page 1 and Page 2 are using the same connection string which connection through a DSN....  How is the connection different by using sqldatasource and DAL?? Could someone please help....  ThanksP.S. I m using a Pervasive database 

I Need A Faster Query

Hi y'all,
I've recently run a profiler on my code and following query took 7 seconds:
SELECT TOP 10 UI, COUNT(UI) AS Expr1 FROM table WHERE (UI <> 'custom_welcome') GROUP BY UI ORDER BY COUNT(UI) DESC
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 :)

Faster Than Cursor?

I have a cursor prcedure that is pretty slow because as the cursor moves through the data I have three select statement on the same table to find other rows information. Is there a better way to do this?
 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

Faster SQL Query

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.

Transactions A Little Bit Faster

I´ve created a class to make some standard transaction development a little bit faster. The destructor seem to run, but something makes this object slow down the database, if SqlTransaction and/or SqlConnection isnt manualy handled with the method Commit(). Any ideas on how to handle the SqlTransaction and SqlConnection better?

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();
}
}

Does A Job Execute MUCH Faster???

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.

I'll appreciate comments. Thanks

How To Tell If One Query Is Faster Than Another

I have rewritten a stored procedure that consists of a single select that selects from a view. Essentially I combined the select in the view and the select in the sp into one select. I am now trying to determine if the new version is faster.

The estimated execution plan gives a ratio of 96% : 4% in favour of the new version when I run them together from a query window but when I try to time them I can't get a satisfactory result.

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.

Is there anything I can do?

Which WHERE Clause Would Be Faster?

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:

WHERE a = 'abcdefghi'



ddave

Does A Job Execute MUCH Faster???

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

Which DELETE Will Be Faster?

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

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.

Select Into Really Faster

HelloI need this really faster in mS SQL 2000Usernumber (int)reportid (FK)reportreportid (PK)Category (int)SELECT A, B, C, D INTO UserCopy FROM UserWHERE User.reportid IN (SELECT MAX(report.reportID) AS maxReport FROM Report GROUP BY report.Category) AND user.number NOT IN (120,144,206,345,221,789,548,666,1204,4875,22,135, 777,444)can return a more than 1000 rows (an the table = 10.000 rows): SELECT MAX(report.reportID) AS maxReport FROM Report GROUP BY report.Categoryand the table user has a few millions rowsReport.ReportId is a Primary key for User.reportid (FK) for the moment it takes up to 3 minutes, i need to do that in 30 seconds maximumthank you for helping

How Can I Make It Faster?

I recently installed SQL2005 Express on a Dell Precision workstation to be accessed by 6 users. The PC has XP Pro, 2GB memory, and 2.0GHz core2due CPU. This PC is dedicated for the database only.
I also set XP Performance options in System Properties to Background services and System cache.
Now, the users are experiencing slow response from the database.
How can I make the database response faster?
Thanks for your input.

Faster Query Results

Can anyone give me the basics of speeding up reports that use queries or views or nested views?
Current reports are now taking over 2 minutes to show.We have thousands and sometimes even millions of records to report against.Queries have 4 and 5 table joins etc.
We are using ASP.NET 2.0 in Visual Studio 2005 and Crystal Reports.
Thanks
 

What Is Faster: Dynamic Sql WITH Or WITHOUT Parameters?

Here is he issue.

* We have a DAL that generates all SQL dynamically out of a nobject model. Standard very powerfull O/R mapper.
* In the DAL, for CRUD operations, we generate the statements dynamically. As an example, let's take INSERT.
* The insert is generated ONCE, with parameters, and cached. For every reuse, the parameters are replaced (in value), and the whole thing commited.

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:

Instead of generating the SQL with parameters, we generate the SQL as a string ready to be inserted for / with a String.Format, and then I encode the parameters and make one SQL String out of this. Now, please - don't say "sql injection", we are not that stupid, the layer handles this already, properly encoding all dangerous values.

With this approach, the SQL statement would be a string and not use any parameter. As a result, I could batch them up as much as I want (ok, up to a certain string size). I need to keep parameters around anyway (for blobs etc.), but most objects do not have blobs, and the SQL is prettty small. This small SQL could be batched significantly (100 statements per batch, propably mode) and be submitted to the database. As a result, the round trips to the databae would go down.

Now, my question is - which of the two approaches is more advisable, from a performance point of view? Again, stuff like SQL injection and ease of handling are totally irrelevant - the SQL never leaves the DAL and is generated in there, and we will go through a lot of complexitiy for higher performance.

Normally I would say batching should be better. SQL Server can auto-parameterize the statements (reusing the query plan), and / but the network round trips are the larger issue here.

Any comments on this?

What Is Faster... INSERT Or UPDATE?

I have a situation where currently, I check to see if a record exists and I do an update if it does, I do an INSERT if it does not. This happens about 200k times each night.

I'm trying to speed the application up that is doing this and I was wondering if it would be a better idea to just delete the records I'm about to recreate, before I start, then do an unconditional insert.

It would eliminate my IF EXISTS check but if an update is faster than an insert, it might even out.

Also, will SQL deal with the big delete and the data being recreated each night without too much bloating or fragmentation?

Which Is Faster And Less Server-intensive?

File I/O or SQL Database calls?Note that my SQL Server is on a separate server, so that cuts down on the web server resources needed per query, but it increases the time necessary for the query to happen.

VarChar Or Char Faster?

Does using varchar or varchar(max) affect the system performance?
Should I use fixed size coloumns to increase speed?

How To Make Insert Faster

Hi.We have stored procedure update specific table
Each time it run it delete 5000- 6000 rows
from table then insert 5000- 6000 rows with different information.
It take up to 1 1/2 min execute.

1.Can force Sql server do not make entry for each insert and if yes would it increase speed of procedure ?
2. Is any other way increase speed of insert?

What Is Faster, BCP, DTS, Bulk Insert?

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?