Given: multithreaded (~20 threads) C++ application under RHEL 5.3.
When testing under load, top shows that CPU usage jumps in range 10-40% every second.
The design mostly pretty simple - most of the threads implement active object design pattern: thread has a thread-safe queue, requests from other queues are pushed to the queue, while the thread only polling on the queue and process incomming requests. Processed request causes to a new request to be pushed to next processing thread.
The process has several TCP/UDP connection over each a data is received/sent in a high load.
I know I did not provided sufficiant data. This is pretty big application, and I'n not familiar well with all it's parts. It's now ported from Windows on Linux over ACE library (used for networking part).
Suppusing the problem is in the application and not external one, what are the techicues/tools/approaches can be used to discover the problem. For example I suspect that this maybe caused by some mutex contention.
I have faced similar problem some time back and here are the steps that helped me.
1) Start with using strace to see where the application is spending the time executing system calls.
2) Use OProfile to profile both the application and the kernel.
3) If you are using an SMP system , look at the numa settings,
In my case that caused a havoc .
/proc/appPID/numa_maps will give a quick look at how the access to the memory is happening.
numa misses can cause the jumps.
4) You have mentioned about TCP connections in your app.
Look at the MTU size and see its set to right value and
Depending upon the type of Data getting transferred use the Nagles Delay appropriately.
Nagles Delay
Related
I have an Multi threaded C++ network application which listens for UDP packets as input - this data then hops through the application/processed via various queues and threads and finally pushed out on a TCP socket.
What I am seeing is that if inputs come in slow lets say 5/sec, the total response time (in-to-out) is slow (lets say 100ms) and if the inputs come in fast e.g. 20/sec, the response time is also fast (~50ms). This observation is really weird. And also messes up the response time in the fast case because the 1st response is always slow. Just to make sure - the application is doing exactly the same amount of work in both slow and fast cases.
Things that have been tried to investigate this -
Its a dual Xeon box running Linux 2.6 kernel - disabled Turbo boost, made sure processors are in C0 states.
eliminated network causes. the root cause is within the box. ( in software or hardware )
I have a fake input going through the system from input to output on a timer to keep the application "warm" - no effect. (the application
's worker threads are busy waiting and pinned to cores).
perf points indicate that EVERY thing gets slower - which basically mean that the processors are slowing down when not under continuous load - but nothing else suggests that ( 17z/turbostat) or I am reading them incorrectly.
Does someone has color on what might be happening?
In my experience, this would be the nasty doings of Nagle's devilish device. Sounds extremeliy plausible to me that more data in the buffer fills up TCP packet which than get's sent. Without much data, tcp packet is waiting for the ack from the other side, which is, as we all know, delayed.
Solution - learn to make sure Nagle's program killer is disabled the first thing after you create any send-capable TCP socket.
I implemented a simple http server link, but the result of the test (ab -n 10000 -c 100 http://localhost:8080/status) is very bad (look through the test.png in the previous link)
I don't understand why it doesn't work correctly with multiple threads.
I believe that, by default, Netty's default thread pool is configured with as many threads as there are cores on the machine. The idea being to handle requests asynchronously and non-blocking (where possible).
Your /status test includes a database transaction which blocks because of the intrinsic design of database drivers etc. So your performance - at high level - is essentially a result of:-
a.) you are running a pretty hefty test of 10,000 requests attempting to run 100 requests in parallel
b.) you are calling into a database for each request so this is will not be quick (relatively speaking compared to some non-blocking I/O operation)
A couple of questions/considerations for you:-
Machine Spec.?
What is the spec. of the machine you are running your application and test on?
How many cores?
If you only have 8 cores available then you will only have 8 threads running in parallel at any time. That means those batches of 100 requests per time will be queueing up
Consider what is running on the machine during the test
It sound like you are running the application AND Apache Bench on the same machine so be aware that both your application and the testing tool will both be contending for those cores (this is in addition to any background processes going on also contending for those cores - such as the OS)
What will the load be?
Predicting load is difficult right. If you do think you are likely to have 100 requests into the database at any one time then you may need to think about:-
a. your production environment may need a couple of instance to handle the load
b. try changing the config. of Netty's default thread pool to increase the number of threads
c. think about your application architecture - can you cache any of those results instead of going to the database for each request
May be linked to the usage of Database access (synchronous task) within one of your handler (at least in your TrafficShappingHandler) ?
You might need to "make async" your database calls (other threads in a producer/consumer way for instance)...
If something else, I do not have enough information...
New description of the problem:
I currently run our new data acquisition software in a test environment. The software has two main threads. One contains a fast loop which communicates with the hardware and pushes the data into a dual buffer. Every few seconds, this loop freezes for 200 ms. I did several tests but none of them let me figure out what the software is waiting for. Since the software is rather complex and the test environment could interfere too with the software, I need a tool/technique to test what the recorder thread is waiting for while it is blocked for 200 ms. What tool would be useful to achieve this?
Original question:
In our data acquisition software, we have two threads that provide the main functionality. One thread is responsible for collecting the data from the different sensors and a second thread saves the data to disc in big blocks. The data is collected in a double buffer. It typically contains 100000 bytes per item and collects up to 300 items per second. One buffer is used to write to in the data collection thread and one buffer is used to read the data and save it to disc in the second thread. If all the data has been read, the buffers are switched. The switch of the buffers seems to be a major performance problem. Each time the buffer switches, the data collection thread blocks for about 200 ms, which is far too long. However, it happens once in a while, that the switching is much faster, taking nearly no time at all. (Test PC: Windows 7 64 bit, i5-4570 CPU #3.2 GHz (4 cores), 16 GB DDR3 (800 MHz)).
My guess is, that the performance problem is linked to the data being exchanged between cores. Only if the threads run on the same core by chance, the exchange would be much faster. I thought about setting the thread affinity mask in a way to force both threads to run on the same core, but this also means, that I lose real parallelism. Another idea was to let the buffers collect more data before switching, but this dramatically reduces the update frequency of the data display, since it has to wait for the buffer to switch before it can access the new data.
My question is: Is there a technique to move data from one thread to another which does not disturb the collection thread?
Edit: The double buffer is implemented as two std::vectors which are used as ring buffers. A bool (int) variable is used to tell which buffer is the active write buffer. Each time the double buffer is accessed, the bool value is checked to know which vector should be used. Switching the buffers in the double buffer just means toggling this bool value. Of course during the toggling all reading and writing is blocked by a mutex. I don't think that this mutex could possibly be blocking for 200 ms. By the way, the 200 ms are very reproducible for each switch event.
Locking and releasing a mutex just to switch one bool variable will not take 200ms.
Main problem is probably that two threads are blocking each other in some way.
This kind of blocking is called lock contention. Basically this occurs whenever one process or thread attempts to acquire a lock held by another process or thread. Instead parallelism you have two thread waiting for each other to finish their part of work, having similar effect as in single threaded approach.
For further reading I recommend this article for a read, which describes lock contention with more detailed level.
Since you are running on windows maybe you use visual studio? if yes I would resort to VS profiler which is quite good (IMHO) in such cases, once you don't need to check data/instruction caches (then the Intel's vTune is a natural choice). From my experience VS is good enough to catch contention problems as well as CPU bottlenecks. you can run it directly from VS or as standalone tool. you don't need the VS installed on your test machine you can just copy the tool and run it locally.
VSPerfCmd.exe /start:SAMPLE /attach:12345 /output:samples - attach to process 12345 and gather CPU sampling info
VSPerfCmd.exe /detach:12345 - detach from process
VSPerfCmd.exe /shutdown - shutdown the profiler, the samples.vsp is written (see first line)
then you can open the file and inspect it in visual studio. if you don't see anything making your CPU busy switch to contention profiling - just change the "start" argument from "SAMPLE" to "CONCURRENCY"
The tool is located under %YourVSInstallDir%\Team Tools\Performance Tools\, AFAIR it is available from VS2010
Good luck
After discussing the problem in the chat, it turned out that the Windows Performance Analyser is a suitable tool to use. The software is part of the Windows SDK and can be opened using the command wprui in a command window. (Alois Kraus posted this useful link: http://geekswithblogs.net/akraus1/archive/2014/04/30/156156.aspx in the chat). The following steps revealed what the software had been waiting on:
Record information with the WPR using the default settings and load the saved file in the WPA.
Identify the relevant thread. In this case, the recording thread and the saving thread obviously had the highest CPU load. The saving thread could be easily identified. Since it saves data to disc, it is the one that with file access. (Look at Memory->Hard Faults)
Check out Computation->CPU usage (Precise) and select Utilization by Process, Thread. Select the process you are analysing. Best display the columns in the order: NewProcess, ReadyingProcess, ReadyingThreadId, NewThreadID, [yellow bar], Ready (µs) sum, Wait(µs) sum, Count...
Under ReadyingProcess, I looked for the process with the largest Wait (µs) since I expected this one to be responsible for the delays.
Under ReadyingThreadID I checked each line referring to the thread with the delays in the NewThreadId column. After a short search, I found a thread that showed frequent Waits of about 100 ms, which always showed up as a pair. In the column ReadyingThreadID, I was able to read the id of the thread the recording loop was waiting for.
According to its CPU usage, this thread did basically nothing. In our special case, this led me to the assumption that the serial port io command could cause this wait. After deactivating them, the delay was gone. The important discovery was that the 200 ms delay was in fact composed of two 100 ms delays.
Further analysis showed that the fetch data command via the virtual serial port pair gets sometimes lost. This might be linked to very high CPU load in the data saving and compression loop. If the fetch command gets lost, no data is received and the first as well as the second attempt to receive the data timed out with their 100 ms timeout time.
I have a time-critical application which processes a sequence of images coming from camera. It is written in C++ and it uses Qt, OpenCV and boost libraries. It is going to run on a dedicated PC.
Currently, the gui functions in main thread and i open a new thread for image processing. I didn't bother to divide the process section into threads because i think OpenCV is already doing that. However, i am having trouble maintaining the maximum tolerable delay.
My question is, how can i learn if my application using all the cores in the maximum level ?
When i look at the performance monitor, the pattern i see is really strange. The CPU usage is likely %35-40, all the cores are working but not at a full throttle.
Am i doing something wrong ?
You are not doing anything wrong, however you could change your code to take full use of the cpu cores by:
1 - setting the core affinity so that the thread does not change from one core to another, this could improve the cache usage (L1 and maybe L2)
2 - setting the scheduling of threads to FIFO so it does not get context-switched before finishing its processing
3 - run that thread on a higher priority process (this would require root privilege for the process)
Cheers
I have a data acquisition application running on Windows 7, using VC2010 in C++. One thread is a heartbeat which sends out a change every .2 seconds to keep-alive some hardware which has a timeout of about .9 seconds. Typically the heartbeat call takes 10-20ms and the thread spends the rest of the time sleeping.
Occasionally however there will be a delay of 1-2 seconds and the hardware will shut down momentarily. The heartbeat thread is running at THREAD_PRIORITY_TIME_CRITICAL which is 15 for a normal priority process. My other threads are running at normal priority, although I use a DLL to control some other hardware and have noticed with Process Explorer that it starts several threads running at level 15.
I can't track down the source of the slow down but other theads in my application are seeing the same kind of delays when this happens. I have made several optimizations to the heartbeat code even though it is quite simple, but the occasional failures are still happening. Now I wonder if I can increase the priority of this thread beyond 15 without specifying REALTIME_PRIORITY_CLASS for the entire process. If not, are there any downsides I should be aware of to using REALTIME_PRIORITY_CLASS? (Other than this heartbeat thread, the rest of the application doesn't have real-time timing needs.)
(Or does anyone have any ideas about how to track down these slowdowns...not sure if the source could be in my app or somewhere else on the system).
Update: So I hadn't actually tried passing 31 into my AfxBeginThread call and turns out it ignores that value and sets the thread to normal priority instead of the 15 that I get with THREAD_PRIORITY_TIME_CRITICAL.
Update: Turns out running the Disk Defragmenter is a good way to cause lots of thread delays. Even running the process at REALTIME_PRIORITY_CLASS and the heartbeat thread at THREAD_PRIORITY_TIME_CRITICAL (level 31) doesn't seem to help. Next thing to try is calling AvSetMmThreadCharacteristics("Pro Audio")
Update: Scheduling heartbeat thread as "Pro Audio" does work to increase the thread's priority beyond 15 (Base=1, Dynamic=24) but it doesn't seem to make any real difference when defrag is running. I've been able to correlate many of the slowdowns with the disk defragmenter so turned off the weekly scan. Still can't explain some delays so we're going to increase to a 5-10 second watchdog timeout.
Even if you could, increasing the priority will not help. The highest priority runnable thread gets the processor at all times.
Most likely there is some extended interrupt processing occurring while interrupts are disabled. Interrupts effectively work at a higher priority than any thread.
It could be video, network, disk, serial, USB, etc., etc. It will take some insight to selectively disable or use an alternate driver to see if the problem system hesitation is affected. Once you find that, then figuring out a way to prevent it might range from trivial to impossible depending on what it is.
Without more knowledge about the system, it is hard to say. Have you tried running it on a different PC?
Officially you can't use REALTIME threads in a process which does not have the REALTIME_PRIORITY_CLASS.
Unoficially you could play with the undocumented NtSetInformationThread
see:
http://undocumented.ntinternals.net/UserMode/Undocumented%20Functions/NT%20Objects/Thread/NtSetInformationThread.html
But since I have not tried it, I don't have any more info about this.
On the other hand, as it was said before, you can never be sure that the OS will not take its time when your thread's quantum will expire. Certain poorly written drivers are often the cause of such latency.
Otherwise there is a software which can tell you if you have misbehaving kernel parts:
http://www.thesycon.de/deu/latency_check.shtml
I would try using CreateWaitableTimer() & SetWaitableTimer() and see if they are subject to the same preemption problems.