Performance bottleneck with subreports

I have an SSRS performance bottleneck on my production server that we have diagnosed as being related to the use of subreports.
Background facts:
* Our Production and Development servers are identically configured
* We've tried the basic restart/reboot activities, didn't change anything about the performance.
* The Development server was "cloned" from the Production server about a month ago, so all application settings (memory usage, logging, etc.) are identical between the two
* For the bottlenecked report the underlying stored procedure executes in 3 seconds, returning 901 rows, in both environments with the same parameters. The execution plan is identical between the two servers, and the underlying tables and indexing
is identical. Stats run regularly on both servers.
* In the development environment the report runs in 12 seconds. But on Production the report takes well over a minute to return, ranging from 1:10 up to 1:40.
* If I point the Development SSRS report to the PROD datasource I get a return time of 14 seconds (the additional two seconds due to the transfer of data over the network).
* If I point the Production SSRS report to the DEV datasource I get a return time of well over a minute.
* I have tried deleting the Production report definition and uploading it as new to see if there was a corruption issue, this didn't change the runtimes.
* Out of the hundreds of Production SSRS reports that we have, the only two that exhibit dramatically different performance between Dev and Prod are the ones that contain subreports.
* Queries against the ReportServerTempDB also confirm that these two reports are the major contributors to TempDB utilization.
* We have verified that the ReportServerTempDB is being backed up and shrunk on a regular basis.
These factors tell me that the issue is not with the database or the SQL. The tests on the Development server also prove that the reports and subreports are not an issue in themselves - it is possible to get acceptable performance from them in the
Development environment, or when they are pointed from the Dev reportserver over to the Prod database.
Based on these details, what should we check on our Prod server to resolve the performance issue with subreports on this particular server?

Hi GottaLoveSQL,
According to your description, you want to improve the performance of report with subreports. Right?
In Reporting Services, the usage of subreport will impact the report performance, because the report server processes each instance of a subreport as a separate report. So the best way is avoid using subreport by using LookUp , MultiLookUp , LookUpSet, which
will bridge different data sources. In this scenario, we suggest you cache the report with subreport. We can create a cache refresh plan for the report in Report Manager. Please refer to the link below:
http://technet.microsoft.com/en-us/library/ms155927.aspx
Reference:
Report Performance Optimization Tips (Subreports, Drilldown)
Performance, Snapshots, Caching (Reporting Services)
Performance Issue in SSRS 2008
If you have any question, please feel free to ask.
Best Regards,
Simon Hou

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Hi GottaLoveSQL,
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In Reporting Services, the usage of subreport will impact the report performance, because the report server processes each instance of a subreport as a separate report. So the best way is avoid using subreport by using LookUp , MultiLookUp , LookUpSet, which
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J.Laurence wrote:
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m0thr4 wrote:
SunFred wrote:
m0thr4 wrote:
I [...] applied the double-checked locking
Which is broken. http://www.ibm.com/developerworks/java/library/j-dcl.html
from the link:
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Array as shared memory - performance bottleneck
Hello,
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System + Parameters:
JVM-64bit JDK1.6.0_14
-Xmx3g
Why the executing of one thread is faster as executing of many threads?
As you can see I didn't use any synchronization.
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Hello,
I'm from [happy-guys|http://www.happy-guys.com] , and we developed new sorting-algorithm to sort an array on the multi-core machine.
But after the algorithm was implemented it was a little-bit slower as standard sorting-algorithm from JDK (Array.sort(...)). After searching for the reason, I created performance tests which shows that the arrays in Java don't allow to access them by many threads at the same time.
The bad news is: different threads slowdown each-other even if they use different array-objects.
I believe all array-objects are natively managed by a global manager in JVM, thus this manager builds a global-lock for all threads.
Only one thread can access any array at the same time!
I used:
Software:
1)Windows Vista 64bit,
2) java version "1.6.0_14"
Java(TM) SE Runtime Environment (build 1.6.0_14-b08)
Java HotSpot(TM) 64-Bit Server VM (build 14.0-b16, mixed mode)
Hardware:
Intel(R) Core(TM) i7 CPU 920 @ 2,67GHz 2,79 GHz, 6G RAM
Test1: initialization of array in a single thread
Test2: the array initialization in many threads on the single array
Test3: array initialization in many threads on many arrays
Results in ms:
Test1 = 5588
Test2 = 4976
Test3 = 5429
Test1:
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* @author Andreas Hollmann
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               for(int i=0; i<arrayLength; i++){
                    a1[i] = i;
               System.out.println("single thread=" + (System.currentTimeMillis()-startTime));
}Test2:
package org.happy.concurrent.sort.forum;
import java.util.ArrayList;
import java.util.List;
* simulates the array initialization in many threads on the single array
* @author Andreas Hollmann
public class ArrayManyThreads {
     public static void main(String[] args) throws InterruptedException {
          final int arrayLength = (int)2e7;
          final int threadNumber = Runtime.getRuntime().availableProcessors();
          long startTime;
          final int offset = arrayLength/threadNumber;
                * init array in many threads
               final Integer[] a = new Integer[arrayLength];
               List<Thread> threadList = new ArrayList<Thread>();
               for(int i=0; i<threadNumber; i++){
                    final int iF = i;
                    Thread t = new Thread(new Runnable(){
                         @Override
                         public void run() {
                              int end = (iF+1)*offset;
                              if(iF==(threadNumber-1))
                                   end = a.length;
                              for(int i=iF*offset; i<end; i++){
                                   a[i] = i;
                    threadList.add(t);
               startTime = System.currentTimeMillis();
               for(Thread t:threadList)
                    t.start();
               for(Thread t:threadList)
                    t.join();
               System.out.println("many threads List=" + (System.currentTimeMillis()-startTime));
}Test3:
package org.happy.concurrent.sort.forum;
import java.util.ArrayList;
import java.util.List;
* simulates the array initialization in many threads on many arrays
* @author Andreas Hollmann
public class ArrayManyThreadsManyArrays {
     public static void main(String[] args) throws InterruptedException {
          final int arrayLength = (int)2e7;
          final int threadNumber = Runtime.getRuntime().availableProcessors();
          long startTime;
          final int offset = arrayLength/threadNumber;
                * init many arrays in many threads
               final ArrayList<Integer[]> list = new ArrayList<Integer[]>();
               for(int i=0; i<threadNumber; i++){
                    int size = offset;
                    if(i<(threadNumber-1))
                         size = offset + arrayLength%threadNumber;
                    list.add(new Integer[size]);
               List<Thread> threadList = new ArrayList<Thread>();
               for(int i=0; i<threadNumber; i++){
                    final int index = i;
                    Thread t = new Thread(new Runnable(){
                         @Override
                         public void run() {
                              Integer[] a = list.get(index);
                              int value = index*offset;
                              for(int i=0; i<a.length; i++){
                                   value++;
                                   a[i] = value;
                    threadList.add(t);
               startTime = System.currentTimeMillis();
               for(Thread t:threadList)
                    t.start();
               for(Thread t:threadList)
                    t.join();
               System.out.println("many threads - many List=" + (System.currentTimeMillis()-startTime));
}

Identifying CPU Bottlenecks with vmstat kthr / r

Hi,
Can someone help me with the interpretation of vmstat with CPU and multiples cores, threads ?
In short, the server is experiencing a CPU bottleneck when r is greater than the number of CPUs on the server.
But what should I use in these cases for example :
2 CPU's dual cores should mean 4 CPU's ?
2 CPU's dual cores dual threads should mean 4 CPU's or 8 CPU's ?
# vmstat 5
     kthr   memory          page             disk      faults        cpu
     r b w swap free re mf pi p fr de sr s0 s1 s2 s3 in sy cs us sy id
     12 0 0 11456 4120 1 41 19 1 3 0 2 0 4 0 0 48 112 130 4 14 82
     14 0 1 10132 4280 0   4 44 0 0 0 0 0 23 0 0 211 230 144 3 35 62
     15 0 1 10132 4616 0   0 20 0 0 0 0 0 19 0 0 150 172 146 3 33 64
     17 0 1 10132 5292 0   0 9 0 0 0 0 0 21 0 0 165 105 130 1 21 78Thanks !

Look at LAT from prstat (generally I use prstat -amL). This will give you an idea of the delay due to wait for CPU.
Looking at your vmstat:
# vmstat 5
     kthr   memory          page             disk      faults        cpu
     r b w swap free re mf pi p fr de sr s0 s1 s2 s3 in sy cs us sy id
     12 0 0 11456 4120 1 41 19 1 3 0 2 0 4 0 0 48 112 130 4 14 82
     14 0 1 10132 4280 0   4 44 0 0 0 0 0 23 0 0 211 230 144 3 35 62
     15 0 1 10132 4616 0   0 20 0 0 0 0 0 19 0 0 150 172 146 3 33 64
     17 0 1 10132 5292 0   0 9 0 0 0 0 0 21 0 0 165 105 130 1 21 78Note that there is a run queue but also much cpu idle - 62% to 82%
Use mpstat to see the load on each cpu.
If you feel that there is a performance problem with the application(s) running on this server I don't think this vmstat supports the need for more CPUs.
What is the hardware and Solaris level involved.
have a good day,
Glen
(PS I've been wrong before so don't rule out a need for more CPUs - but collect more data before reaching a conclusion.)

Is there a recommended limit on the number of custom sections and the cells per table so that there are no performance issues with the UI?

Is there a recommended limit on the number of custom sections and the cells per table so that there are no performance issues with the UI?

Thanks Kelly,
The answers would be the following:
1200 cells per custom section (NEW COUNT), and up to 30 custom sections per spec.
Assuming all will be populated, and this would apply to all final material specs in the system which could be ~25% of all material specs.
The cells will be numeric, free text, drop downs, and some calculated numeric.
Are we reaching the limits for UI performance?
Thanks

Performance bottleneck with subreports

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