Multiple Tables Select Performance - SQL 2005 - Should It Take 90 Seconds For A Select?

Dec 4, 2007

I have a problem where my users complain that a select statement takes too long, at 90 seconds, to read 120 records out of a database.
The select statement reads from 9 tables three of which contain 1000000 records, the others contain between 100 and 250000 records.
I have checked that each column in the joins are indexed - they are (but some of them are clustered indexes, not unclustered).
I have run the SQL Profiler trace from the run of the query through the "Database Engine Tuning Advisor". That just suggested two statistics items which I added (no benefit) and two indexes for tables that are not involved at all in the query (I didn't add these).
I also ran the query through the Query window in SSMS with "Include Actual Execution Plan" enabled. This showed that all the execution time was being taken up by searches of the clustered indexes.
I have tried running the select with just three tables involved, and it completes fast. I added a fourth and it took 7 seconds. However there was no WHERE clause for the fourth table, so I got a cartesian product which might have explained the problem.
So my question is: Is it normal for such a type of read query to take 90 seconds to complete?
Is there anything I could do to speed it up.
Any other thoughts?
Thanks

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Jul 9, 2007

Hi there,I want to select records from 3 tables. In SQL Server 2005, I'm using of "For XML" like this:Select *, (Select * From dbo.PageModules Where (PageId = 1) For Xml Auto) As Modules, (Select * From dbo.PageRoles Where (PageId = 1) For Xml Auto) As Roles From dbo.PagesThat works fine in SQL 2005 but not in SQL 2000, Because SQL 2000 does not support nested "FOR XML".Is there any way for selecting records from multiple tables by a query?Thanks in advance 

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I have three tables.

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Jul 20, 2007

Hi all! I just registred (very nice site) and have problem with getting some data from multiple tables, I would like to get result in one result set and best would be in one sql query.

I have DB for miniMessenger proggy, what i try to do is retrieve list of contacts.

Table containing user account information.

CREATE TABLE `account` (
`id_account` mediumint(8) unsigned NOT NULL auto_increment,
`userdata_id` mediumint(8) unsigned NOT NULL default '0',
`login` varchar(15) NOT NULL default '',
`pwd` varchar(15) NOT NULL default '',
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`ost_login` varchar(11) default NULL,
PRIMARY KEY (`id_account`),
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)

INSERT INTO `account` VALUES (1, 1, 'User', 'fatimah', 4118394, 0, NULL);
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Contact list, first field is contact number (like 4356789 - MESSENGER id) next to this number is its contact number, auth - if contact was authorised, ban selfexplained :) I just take every row with number 4356789 and get contact numbers next to it.
CREATE TABLE `contacts` (
`contact_id` mediumint(8) unsigned NOT NULL default '0',
`contacts` mediumint(8) unsigned NOT NULL default '0',
`auth` tinyint(1) unsigned NOT NULL default '0',
`ban` tinyint(1) unsigned NOT NULL default '0',
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)
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`status_id` tinyint(3) unsigned NOT NULL default '0',
`description` varchar(255) NOT NULL default '',
`archiwum` mediumtext NOT NULL,
PRIMARY KEY (`id_messenger`)
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`id_status` tinyint(3) unsigned NOT NULL default '0',
`stat` varchar(15) default NULL,
PRIMARY KEY (`id_status`)
)
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which is userID, contact ID, authorisation, ban, status

My query looks like this:
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WHERE account.login = 'User'
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mstaffid
staffname
teamid
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____________
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Aug 8, 2007

Basically I have 5 tables. These are...

1/ RCPCrossRef
2/ RCPPositionData

3/ RGCrossRef
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5/ RComments
------------------------------------------------------

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RGCrossRef and RGData are related by these keys:

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-----------------------------------------------------------

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----------------------------------------------------------------

Finally RComments is related to RCPCrossRef and RGCrossRef by these keys...

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---------------------------------------------------------------

So my aim is to display ALL DATA for each of these tables.

Tried the below but doesn't return any rows...




Code SnippetSELECT gd.Quantity, c.Comments,
gc.GPositionID, cc.CPPositionID, cd.PositionDate
FROM ReconComments AS c
INNER JOIN
RGCrossRef AS gc
INNER JOIN
RGData AS gd
ON gc.GPositionID = gd.PositionID
ON c.GPositionID = gc.GPositionID
INNER JOIN
RCPData AS cd
INNER JOIN
RCPCrossRef AS cc
ON cd.UniquePositionID = cc.CPPositionID
ON c.CPPositionID = cc.CPPositionID
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=============
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date datetime
amount money

hourly_charges table
====================
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end_time datetime

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(
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3 | 330 | 1500
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Hi,
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The data is returned correctly from these tables.
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Code Snippet
SELECT cm.CommentImage AS ViewComment, gd.PositionID AS GPositionID, cd.UniquePositionID AS CPPositionID
FROM RGData gd
INNER JOIN
RGCrossReference g
ON g.GPositionID = gd.PositionID
INNER JOIN
RCPCrossReference c
ON c.GMatchID = g.GMatchID
INNER JOIN
RCPPositionData cd
ON cd.UniquePositionID = c.CPPositionID
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RComments cm
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FROM RComments
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OR
cd.Currency != gd.Currency)
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Hi there,



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Code Snippet



SELECT Criminal.CriminalID, Criminal.Firstname, Criminal.Lastname, Criminal.Nickname, Criminal.Gender, Criminal.DOB, Criminal.Eyes, Criminal.Complexion, Criminal.Weight, Criminal.Height, Criminal.Build, Criminal.Scars, Criminal.Occupation, Criminal.CrimeOrgID, Criminal.IQ, Criminal.Hideout, Criminal.CriminalType, Max(CrimeComitted.Date) AS Last_Crime_Comitted
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Select * from

(

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select

CASE

WHEN month(getdate()) in (1) THEN year(getdate())-1

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and

year(dm_date) = (select years from @years)

and tx.dm_billable = 1

group by u.fullname

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u.FullName

, sum(tx.Dm_Time) Billhours

, ((sum(tx.Dm_Time))

/

((day(getdate()) * ((5.0)/(7.0))) * 8)) perc

from

Dm_TimeEntry tx

join

systemuserbase u

on

(tx.owninguser = u.systemuserid)

where

tx.Dm_Billable = '1'

and

month(tx.Dm_Date) = month(GetDate())

and

year(tx.Dm_Date) = year(GetDate())

group by u.fullname) as B

on

A.Fullname = B.Fullname

Left Outer Join

(

select

u.fullname

, sum(tx.Dm_Time) TwomosagoBillhours

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join

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on

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Code Snippet
SELECT ProductID
FROM CRP.Product
WHERE ProductID NOT IN
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Execution plan:


Select (cost 0%) <--- Merge join (25%) <--- Clustered index scan (54%)
^--- Stream aggregate (1%) <--- Index seek (19%)






Code SnippetSELECT
PC.ProductID
FROM -- Product Child
CRP.Product PC
FULL JOIN -- Product Parent
(SELECT ProductFatherID ProductID
FROM CRP.Product
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WHERE
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Execution plan:

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I have read that in the in sql 6.5 that this may cause severe performance and locking behaviors in system db's and tempdb. However, in the following document on the Microsoft Knowledge Base, it indicates that SQL 7.0 may have corrected this issue.

Q153441 - FIX SELECT INTO Locking Behavior.htm

Despite the indication of being corrected, I am still not convinced. I am frequently seeing drastic performance hits, especially when several of the reports are running. (which is very common) My concern is that moving these reports/exports to a reporting server may save the users; I believe that it may be migrating the problem to another location. I will be working with the developers to optimize their code and will investigate index issues.

** To make a long story short. I would like someone who has experience with this provide me with the top 5+ reasons not to use the 'select into #' methodology in a production environment. Further, if anyone has any documentation, I would surely like the info.

Thanks, Dave

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I was wondering, though... Will this have a significant impact on our performance? I mean, that's a lot of e-mail addresses to process and I don't want to bog our system down unnecessarily.

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I am running SQL 2000 SP4. I have a stored procedure which calls a function in an update statement. Previously, this SP which is pretty intensive and used to build a report would run in appox 10 minutes. Now it is taking 3 hours to execute. I have tracked the performance issue to the function. The function is taking 3 to 4 seconds to execute for each row and it is updating 2,600 rows.

I am including the select statement causing problems.


SELECT TOP 1


@m_ECodeMsg = tev.BillMsg

FROM tblUsageHistoryDetail tuhd

INNER JOIN tblMeterReadEcode tmre

ON tmre.MeterReadID = tuhd.CurrentMeterREadID

INNER JOIN tblUsageHistory tuh

ON tuh.UsageHistoryID = tuhd.UsageHistoryID

INNER JOIN tblTran tt

ON tt.TranID = tuh.TranID AND tt.ServiceLocationID = tuh.ServiceLocationID

INNER JOIN tblServiceLocation tsl

ON tsl.ServiceLocationID = tt.ServiceLocationID

INNER JOIN tblRateUsage tru
ON tru.RateID = tsl.RateID

INNER JOIN tblECodeValue tev

ON tev.ECodeValueID = tmre.ECodeValueID AND tev.ECodeTypeID = tmre.ECodeTypeID

WHERE tt.StatementID = @i_StatementID AND tru.AltServiceID = tsl.ServiceID
AND tt.TranTypeID = 2 AND tev.ECodeTypeID = 6


The function has been in use for over a year and SP4 has been installed on this server for serveral months now. If I run this on an old box with SP3a it runs fine. I have rewrote the statement without the "TOP 1" and execution of the function is less than 1 sec.

Any ideas as to why my performance has taken such a hit?

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Hello -- thank you for taking the time to read this.

I have a very large table that is used both for archives and new information. To get the current information, the table is queried by many different users at various polling periods. The SELECT required includes about fifteen JOINS, and only returns about 200 rows at any given time.

So I got to thinking if it might be faster to periodically run the big query as a SELECT INTO into a smaller table and letting the polling clients query the smaller table with SELECT *. Periodically, the smaller table would be DROPPED and refereshed with another SELECT INTO.

Trouble is, the data would have to be updated once every 30 seconds, and there are inbound polls coming at the rate of about 200 per minute. It got me to thinking what might happen if a client attemtped to query the smaller table when it was in the process of being dropped and refilled.

So my question is three-part:

1) assuming a larger table of about 500,000 records and only 500 pertinent at any given time, is there any real potential of performance enhancement by switching to a SELECT INTO table?

2) if so, is there a chance of a client failing a query if the inbound query somehow collides with the DROP/SELECT INTO procedure?

3) if so, is there any way to prevent it or a better way of doing this?

Thanks again for reading, and in advance for any help you can provide. I apologize if I sound like a dummy - it's hard to fake intelligence!

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OR

Set rowcount 10000
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Nov 28, 2007

Hi.

We are now working with SQL2000sp4, planning migration to SQL2005 in few months though.

I've faced performance issues with large tables (200-500 mln rows, 50-100Gb of data+indexes)

New data are uploaded into tables once a day, around 1mln rows. Thats the only time of inserting data, during daytime tables are used for SELECTs only.

The problem that daily INSERTs are taking too much time now, because of rebuilding few indexes for the table.

I noticed that partitioning solution looks like solving this problem well. So i splitted master data table into 4 tables:

old master table:
CREATE TABLE [dbo].[DTB] (
[report_date] [smalldatetime] NOT NULL ,
[param] [char] (10) COLLATE Cyrillic_General_CI_AS NOT NULL ,
[param_value1] [decimal](18, 2) NULL ,
[param_value2] [decimal](18, 2) NULL ,
[param_value3] [smallint] NULL
)
CREATE INDEX [IX_DTB_DT_ACC] ON [dbo].[DTB]([report_date], [param])

new partition1:
CREATE TABLE [dbo].[be_data_DTB_part_2007_q1] (
[report_date] [smalldatetime] NOT NULL ,
[param] [char] (10) COLLATE Cyrillic_General_CI_AS NOT NULL ,
[param_value1] [decimal](18, 2) NULL ,
[param_value2] [decimal](18, 2) NULL ,
[param_value3] [smallint] NULL ,
CONSTRAINT [CK_be_data_DTB_part_2007_q1_report_date] CHECK ([report_date] >= '2007-Jan-01' and [report_date] <= '2007-Mar-31')
)
CREATE CLUSTERED INDEX [idc_be_data_DTB_part_2007_q1_report_date_param] ON [dbo].[be_data_DTB_part_2007_q1]([report_date], [param])

Similar are definitons for other partitions - q2, q3 and q4.

And here is partitioned view itself:
create view dbo.data_DTB
as
select * from dbo.be_data_DTB_part_2007_q1
union all
select * from dbo.be_data_DTB_part_2007_q2
union all
select * from dbo.be_data_DTB_part_2007_q3
union all
select * from dbo.be_data_DTB_part_2007_q4

I want users to access data SELECTing from view data_DTB, while I perform daily inserts right into be_data_DTB_part_2007_q4.

In general, this solution works well. For example:




Code Block
set statistics profile on
go
select * from data_DTB where report_date = '2007-Apr-16'
go
set statistics profile off
go

1290674 1 SELECT * FROM [data_DTB] WHERE [report_date]=@1
1290674 1 |--Concatenation
0 1 |--Filter(WHERE:(STARTUP EXPR(Convert([@1])<='Mar 31 2007 12:00AM' AND Convert([@1])>='Jan 1 2007 12:00AM')))
0 0 | |--Clustered Index Seek(OBJECT:([MYDB].[dbo].[be_data_DTB_part_2007_q1].[idc_be_data_DTB_part_2007_q1_report_date_param]), SEEK:([be_data_DTB_part_2007_q1].[report_date]=Convert([@1])) ORDERED FORWARD)
1290674 1 |--Filter(WHERE:(STARTUP EXPR(Convert([@1])<='Jun 30 2007 12:00AM' AND Convert([@1])>='Apr 1 2007 12:00AM')))
1290674 1 | |--Clustered Index Seek(OBJECT:([MYDB].[dbo].[be_data_DTB_part_2007_q2].[idc_be_data_DTB_part_2007_q2_report_date_param]), SEEK:([be_data_DTB_part_2007_q2].[report_date]=Convert([@1])) ORDERED FORWARD)
0 1 |--Filter(WHERE:(STARTUP EXPR(Convert([@1])<='Sep 30 2007 12:00AM' AND Convert([@1])>='Jul 1 2007 12:00AM')))
0 0 | |--Clustered Index Seek(OBJECT:([MYDB].[dbo].[be_data_DTB_part_2007_q3].[idc_be_data_DTB_part_2007_q3_report_date_param]), SEEK:([be_data_DTB_part_2007_q3].[report_date]=Convert([@1])) ORDERED FORWARD)
0 1 |--Filter(WHERE:(STARTUP EXPR(Convert([@1])<='Dec 31 2007 12:00AM' AND Convert([@1])>='Oct 1 2007 12:00AM')))
0 0 |--Clustered Index Seek(OBJECT:([MYDB].[dbo].[be_data_DTB_part_2007_q4].[idc_be_data_DTB_part_2007_q4_report_date_param]), SEEK:([be_data_DTB_part_2007_q4].[report_date]=Convert([@1])) ORDERED FORWARD)


As far as i see it checks filter parameter fitting CHECK constraint for each partition. Then it peforms clustered index seek for partition actually containing data and avoids using 3 other partitions. Thats great! This example just illustraits that partitioning actually works for me.

Unfortunately, there is another query with just awful performance on partitions comparing to single table. Lets try to get few rows entered last day:




Code Block
set showplan_text on
go
select top 10 * from DTB order by report_date desc
go
set showplan_text off
go

|--Top(10)
|--Bookmark Lookup(BOOKMARK:([Bmk1000]), OBJECT:([MYDB].[dbo].[DTB]))
|--Index Scan(OBJECT:([MYDB].[dbo].[DTB].[IX_DTB_DT_ACC]), ORDERED BACKWARD)


Excellent! It runs just for only few seconds. But using partitions:




Code Block
set showplan_text on
go
select top 10 * from data_DTB order by report_date
go
set showplan_text off
go

|--Top(10)
|--Merge Join(Concatenation)
|--Merge Join(Concatenation)
| |--Merge Join(Concatenation)
| | |--Sort(ORDER BY:([be_data_ DTB_part_2007_q1].[report_date] ASC, [be_data_ DTB_part_2007_q1].[param] ASC, [be_data_DTB_part_2007_q1].[param_value1] ASC, [be_data_ DTB_part_2007_q1].[param_value2] ASC, [be_
| | | |--Clustered Index Scan(OBJECT:([MYDB].[dbo].[be_data_DTB_part_2007_q1].[idc_be_data_DTB_part_2007_q1_report_date_param]))
| | |--Sort(ORDER BY:([be_data_DTB_part_2007_q2].[report_date] ASC, [be_data_ DTB_part_2007_q2].[param] ASC, [be_data_DTB_part_2007_q2].[prama_value1] ASC, [be_data_DTB_part_2007_q2].[param_value2] ASC, [be_
| | |--Clustered Index Scan(OBJECT:([MYDB].[dbo].[be_data_DTB_part_2007_q2].[idc_be_data_DTB_part_2007_q2_report_date_param]))
| |--Sort(ORDER BY:([be_data_DTB_part_2007_q3].[report_date] ASC, [be_data_DTB_part_2007_q3].[param] ASC, [be_data_DTB_part_2007_q3].[param_value1] ASC, [be_data_DTB_part_2007_q3].[param_value2] ASC, [be_data_
| |--Clustered Index Scan(OBJECT:([MYDB].[dbo].[be_data_DTB_part_2007_q3].[idc_be_data_DTB_part_2007_q3_report_date_param]))
|--Sort(ORDER BY:([be_data_DTB_part_2007_q4].[report_date] ASC, [be_data_DTB_part_2007_q4].[param] ASC, [be_data_DTB_part_2007_q4].[param_value1] ASC, [be_data_DTB_part_2007_q4].[param_value2] ASC, [be_data_
|--Clustered Index Scan(OBJECT:([MYDB].[dbo].[be_data_DTB_part_2007_q4].[idc_be_data_DTB_part_2007_q4_report_date_param]))


As one can see that€™s just awful . When I make graphical execution plan with Ctrl+L it says costs for Sort operations are thousands. I didn€™t run this query to check statistics profile, because on our server it will run for hours.

I found a topic regarding this problem: http://forums.microsoft.com/TechNet/ShowPost.aspx?PostID=1270479&SiteID=17

Mostafa Elhemali describes exactly my problem in the last post. I also though that getting top 10 * from partitioned view shouldn€™t be a problem €“ it€™s quite obvious just to grab top 10 from each partition and then find top 10 amongst them. Looks like it doesn€™t work this way though.

So the question is. Is there any new workarounds for this problem? Or maybe it is already solved in latest patches for SQL2005? I know that SQL2005 introduces new way of partitioning tables, maybe the problem will go if using SQL2005 partitioned tables instead of oldstyle partitioned views?

Thank you.


p.s. Upon reviewing my post i noticed that issued ORDER BY report_date DESC against unpartitioned table, and ORDER BY report_date against partitioned view. Well, specifying ORDER BY report_date DESC for partitioned view gives similar results, except for few ASCs are replaced with DESCs.

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FOR
select --TOP 1000000

[code]....

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