SSRS2005 Is Extremely Slow
Sep 17, 2007
Hello! I have a query that join five tables and returns around 45000 rows that takes no more than a minute to execute, in management studio, on a SQL Server 2005, 2CPU 32 bit(dual core), 4GB and RAID5 disk system. The O/S is Windows 2003 sp2 Standard Edition.
When the same query is executed in SSRS2005, with some drilldown and summary of drilldown levels, it never stops to execute.
Looking at the hardware in the performance monitor reveals nothing strange except that % CPU-time is around 40 percent. Memory resources over 2 GB are available all the time.
Any suggestions is appreciated!
Any problems with SQL Server 2005 source database running on SQL Server 2000 compatibility level?
Thomas Ivarsson
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May 13, 2004
Hi guys.
I have a DTS package ON SQL 2000 which transfer data from AS400 to SQL 2000 using an ODBC Client Access 5.1 (The DSN was configured by a sysdmin on the AS400 so it is configured properly).
When i execute the package manualy (by right click and "execute package") the package runns fine and ruterns data in no time (Eproximatly 30000 rows in 15 sec).
The problem starts when a job executes the same packagee!!!
When i start the job, the DTS package is running Very Very Slow!!!!
sometime it takes Hours to return a few rows! and it seems that it is stuck.
The SQLAgent is running as a NT Account with Administrator rights, and has full access to the AS400!! so the problem is not the Agent.
by monitoring the AS400, i have noticed that the job/DTS is retreaving the first fetch quickly , and then it is in a waiting status
i have tried everything and cant seem to get this problem fixed
Does anyone know what could be the problem?
I Need Help Quick!!!
Thank You
Gil
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Apr 23, 2008
Hey Guys
I have a huge speed issue on one or two of my SQL Tables. I have included the basic design below.
Structure
Id
ParentId
Name
Group
Id
ParentId
Name
Weight
Products
Id
Name
StructureProducts
StructureId
ProductId
Imported
StructureGroups
StructureId
GroupId
GroupProducts
GroupId
ProductId
AnswerDates
Id
AssessmentDate
Scores <-- This table is the slow table
AnswerDateId
StructureId
GroupId (nullable)
ProductId (nullable)
Score >= 0 && <= 100
Ok, Structures are the start of everything. Structures, have children. If a group/product is Linked to a parent or child structure then that group/product is visible along the structure tree flow path. Groups, like structure have children. And also like structures, if a group is given a product, then that product is visible through the structure tree flow path.
Example:
Earth [Structure]
- Asia [Structure]
--- China [Structure]
--- Japan [Structure]
----- Computer Stuff [Group]
------- Desktops [Group]
------- Servers [Group]
------- Laptops [Group]
--------- HP [Product]
--------- Dell [Product]
--------- Fujitsu [Product]
- Europe [Structure]
--- Germany [Structure]
----- Berlin [Structure]
--- Italy [Structure]
----- Rome [Structure]
----- Venice [Structure]
- America [Structure]
--- United States of America [Structure]
----- New York [Structure]
------- Computer Stuff [Group]
--------- Desktops [Group]
--------- Servers [Group]
--------- Laptops [Group]
----------- HP [Product]
----------- Dell [Product]
------- Home Stuff [Group]
--------- Kitchen Stuff [Group]
--------- bedroom Stuff [Group]
----- Washington [Structure]
------- Computer Stuff [Group]
--------- Desktops [Group]
--------- Servers [Group]
--------- Laptops [Group]
----------- HP [Product]
----------- Dell [Product]
----------- Acer [Product]
------- Home Stuff [Group]
--------- Kitchen Stuff [Group]
--------- bedroom Stuff [Group]
----- Chicago [Structure]
------- Computer Stuff [Group]
--------- Desktops [Group]
--------- Servers [Group]
--------- Laptops [Group]
------- Home Stuff [Group]
--------- Kitchen Stuff [Group]
--------- bedroom Stuff [Group]
- Africa [Structure]
--- South Africa [Structure]
----- Johannesburg [Structure]
------- Computer Stuff [Group]
--------- Desktops [Group]
--------- Servers [Group]
--------- Laptops [Group]
----------- Acer [Product]
------- Home Stuff [Group]
--------- Kitchen Stuff [Group]
--------- bedroom Stuff [Group]
----- Durban [Structure]
----- Capte Town [Structure]
- Australasia [Structure]
So the initial steps that happen (with regards to Scoring) are as follows.
1. Insert root score (which would be for a structure, a group, an answer date and either a product or no product
2. Score the next group up along the treeview, using the scores for the groups at the same level as the original group (0 score if no score exists).
3. Continue this till GroupTree is at root (parentid == null)
4. Using the next structure up along the treeview, repeat steps 2 & 3.
5. Continue steps 4 until Structuree is at root (parentid == null)
Example
Scoring a product for Johannesburg Acer Laptop would go as follows
1. Initial score for [Acer] product against Group [Laptop] for Johannesburg.
2. Calculate Score for all products (productid = null) against Laptop for Johannesburg
3. Calculate Score for [Acer] product against Group [Computer Stuff] for Johannesburg
4. Calculate Score for all products against Group [computer Stuff] for Johannesburg
5. Calculate score for [Acer] product against all root groups for Johannesburg
5.1. Group [Comptuer Stuff] and [Home Stuff]
6. Calculate score for all products against all root groups for Johannesburg
6.1. Group [Comptuer Stuff] and [Home Stuff]
7. Calculate score for [Acer] Product against Group Laptop for South Africa
8. Calculate Score for all products (productid = null) against Laptop for South Africa
9. Calculate Score for [Acer] product against Group [Computer Stuff] for South Africa
10. Calculate Score for all products against Group [computer Stuff] for South Africa
11. Calculate score for [Acer] product against all root groups for South Africa
11.1. Group [Comptuer Stuff] and [Home Stuff]
12. Calculate score for all products against all root groups for South Africa
12.1. Group [Comptuer Stuff] and [Home Stuff]
13. Calculate score for [Acer] Product against Group Laptop for Africa
14. Calculate Score for all products (productid = null) against Laptop for Africa
15. Calculate Score for [Acer] product against Group [Computer Stuff] for Africa
16. Calculate Score for all products against Group [computer Stuff] for Africa
17. Calculate score for [Acer] product against all root groups for Africa
17.1. Group [Comptuer Stuff] and [Home Stuff]
18. Calculate score for all products against all root groups for Africa
18.1. Group [Comptuer Stuff] and [Home Stuff]
etc. etc. etc...
This basicly coveres the concept behind the basic scoring methodology. Now the methodology splits into 2. The first Methodology 1, say it should do these calculations using the Exact same date as the original scored date. (Ie. if i do a score today, only scores on today will be used in the calculations). The other, Methodology 2, says that it should do the calculations on the latest available date. (Ie. If i do a score today, only scores from today and the latest before today will be used in the calculations).
Now to add another problem to this already complex process, is that each Group and each product within a structure can have either of the 2 scoring methodologies assigned to it. Also, products can only be scored against the structures and groups that they are assigned to. Ie, Acer exists in Laptop Group, in Johannesburg or South Africa or Africa, but doesnt exist in New York.
Ok, so now that i've explained briefly how this scoring works, let me get to the heart of the problem. Basicly its speed (can clearly see why), though the speed issue only comes
up in 1 Place. And that is where it has to look backwards for the latest available score for the required group, structure and product.
For this to happen i wrote a function
ALTER FUNCTION [dbo].[GetLatestAnswerDateId]
( @StructureId INT,
@GroupId INT,
@ProductId INT,
@AnswerDateId INT )
RETURNS INT
AS
BEGIN
DECLARE @Id INT
DECLARE @Date DATETIME
SELECT TOP 1 @Date = [Date]
FROM [dbo].[AnswerDate]
WHERE [Id] = ISNULL(@AnswerDateId, [Id])
ORDER BY [Date] DESC
SELECT TOP 1 @Id = ad.id--gs.[AnswerDateId]
FROM [dbo].[Scoring] gs
INNER JOIN [dbo].[AnswerDate] ad ON ad.Id = gs.AnswerDateId
WHERE [StructureId] = @StructureId
AND ISNULL([GroupId], -1) = ISNULL(@GroupId, -1)
AND ISNULL([ProductId], -1) = ISNULL(@ProductId, -1)
AND [Date] <= @Date
ORDER BY [Date] DESC
RETURN @Id
END
Now on small amounts of data (1000 rows or so) its quick, though that is due to the fact that the data is minimal, but on large amounts of data this function runs for along time. Specificly in the context of the following when there is 6 months of scoring data (100 000+ rows) to peruse.
SELECT [StructureId], [GroupId], [AnswerDateId], [ProductId], [Score]
FROM [Scoring]
WHERE AnswerDateId = GetLatestAnswerDateId([Structure], [GroupId], [ProductId], null)
AND [StructureId] = South Africa
AND [GroupId] = Computer Stuff
AND [ProductId] = Acer
Any idea's on how to make this quick? or quicker?
My Current runtime for calculating the 2500 base scores (totals 100 000+- rows) takes 15 hours. Though this is an initial calculation and is only supposed to be done once.
Also, this calculations are all correct, so my only issue itself is the speed of the entire process.
Thanks In Adance
Jonathan
WARNING: Running on cold coffee!
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best regards
-flyall-
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hi,
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Hi,
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Hi,
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====== ===== === =====
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Hi,
I've created a dataset with 27 measures and 20 query parameters. When attempting to load the report containing this dataset I'm shown the message;
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Environment;
VS2005 v8.0.507
MSSQL 2005 9.00.1399.06 Build 3790 SP2
Windows Server 2003 SP2
Many thanks.
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I have been having issues with our SQL server for awhile now. It seems to run out of memory every few days and when I look at the memory dump, the MEMORYCLERK_SQLOPTIMIZER seem to take over memory and eventually cause the server to crash.
Here is the SQL verison we are using: Microsoft SQL Server 2012 (SP1) - 11.0.3460.0 (X64) Jul 22 2014 15:22:00 Copyright (c) Microsoft Corporation Enterprise Edition (64-bit) on Windows NT 6.2 (Build 9200: ) (Hypervisor)..It is on a VM on Windows 2012 server. It has 20gb of RAM allocated to it and the MAX Server Memory is set to 16.5gb.
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Mar 27, 2008
Hello everyone,
In reports ,My customer requirement is to display column based on selected criteria in UI .
The columns which are not selected by him will hide.
for that we kept an expression in Visibility --> Hide
Code Snippet
= NOT Parameters!Parameters.Value.ToString().Contains("Name")
then coming to HTML Report
It is working fine,but white space coming at end of the Table.
can't we supress the white space?
The white space width is exactly the width of the column which is hidden.
My designing in layout is wrong?
Else is that Problem with the SSRS?
Experts Please let me Know!!!!
Give me Solution!!!
Customer is strictly focusing on that requirement.
***Note: white Space is Some what Acceptable.But My Reports are very big like 45 columns around.When he selects 10 out of 45 then you can assume how much space is coming????????****
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Small amount of items selected:
More items selected:
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Jun 23, 2006
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Nov 13, 2003
I am writing a data access web page, but I find that the excution speed is too slow.
My data base is just a data table which have five columns: id, code, quantity, price and Date. The data base has about 45000 rows. When I use OSQL or Query function, speed is just fine.
Here is the main code which I think cause the speed slow:
string conn = ConfigurationSettings.AppSettings["connectionstring"];
SqlDataAdapter adapter_2 = new SqlDataAdapter("select * from table",conn);
DataSet ds = new DataSet();
adapter_2.Fill (ds,"table");
DataTable YahooOrders = ds.Tables["YahooOrders"];
DataRow[] product = new DataRow[20000];
.......
foreach (string s in split) // actually the split here has only one string in it
{
product = table.Select ("code like '"+s+"%' and Date >='"+minDate+"' and Date <='"+table.Select("Date = Max(Date)")[0][1].ToString()+"'");
foreach(DataRow myRow in product)
{
int count = Convert.ToInt32(myRow[2]);
itemQuantity = count + itemQuantity;
revenue = Convert.ToDouble(myRow[3]) * count + revenue;
// get product code, ignore repeated code
int myIndex=code.BinarySearch( myRow[1] );
if ( myIndex < 0 )
code.Add(myRow[1]);
}
orderQuantity = product.Length + orderQuantity;
}
The first foreach actually excutes just one time, so it won' t cause any speed problem.
The second foreach' s job is to sum each column of specified rows which is product here.
So, any ideas about this?
Thanks!
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Mar 8, 2001
All,
Actually from the application the developers are using count(column) to know the no. of rows resulted by a statement which joins many tables but its taking lot of time.
Is there an easy way to get the count of records(result set) of the output.
I cant use sysindexes b'z i need the count of the output genereted by the SQl Statement which joins many tables and retrieves many rows.
Thanks,
Sajai
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