If changes to the mount source directory are present on the host file system, those changes may be lost when the delegated mount synchronizes with the host source directory.How do I diagnose the cause of Docker on MacOS, specifically com.docker.hyperkit using 100% of CPU?Docker For Mac Delegated. Docker for Mac documentation for bind-mounts performance tuning says the following regarding delegated bind mounts. Just PM me if you need help (We work. We tweaked already the fck out of docker because the filesystem sync is very slow on symfony with 20k+ files. After 2 weeks of slow (er) development on symfony/docker/mac I finally found my problem regarding the speed of my local application. Docker / PHP / XDebug / Mac (High Sierra) / Firewall / sloooooow.If I make a change to a single, non-dependent file (for example. Dockerignore is setup to ignore busy directories, but altering a single file seems to have a huge impact on the run performance. Especially given the likes of :delegated and :cached have been removed, I need to figure out.Docker for Mac Extremely slow request times. Docker stats shows all the running containers have low CPU, memory, net IO and block IO.Im confused about how Docker for Mac works with gRPC FUSE.
Docker Delegated Mac Documentation ForPsynch_cvsignal(0x7F9946002408, 0x4EA701004EA70200, 0x4EA70100) = 257 0Psynch_mutexdrop(0x7F9946002318, 0x5554700, 0x5554700) = 0 0Psynch_mutexwait(0x7F9946002318, 0x5554702, 0x5554600) = 89474819 0Psynch_cvsignal(0x10BF7B470, 0x4C8095004C809600, 0x4C809300) = 257 0Psynch_cvwait(0x10BF7B470, 0x4C8095014C809600, 0x4C809300) = 0 0Psynch_cvwait(0x10BF7B470, 0x4C8096014C809700, 0x4C809600) = -1 Err#316Psynch_cvsignal(0x7F9946002408, 0x4EA702004EA70300, 0x4EA70200) = 257 0Psynch_cvwait(0x7F9946002408, 0x4EA702014EA70300, 0x4EA70200) = 0 0Psynch_cvsignal(0x10BF7B470, 0x4C8097004C809800, 0x4C809600) = 257 0Psynch_cvwait(0x10BF7B470, 0x4C8097014C809800, 0x4C809600) = 0 0Psynch_cvwait(0x10BF7B470, 0x4C8098014C809900, 0x4C809800) = -1 Err#316From : docker run -it -rm -pid host busybox topThe CPU usage on docker embedded host is ~3%. The physical size matches the logical size.Dtruss sudo dtruss -p $DOCKER_PID shows a large number of psynch_cvsignal and psynch_cvwait calls. According to What is Docker.qcow2?, Docker.qcow2 is a sparse file that’s the persistent storage for all Docker containers.In my case the file isn’t that sparse. Iosnoop shows that com.docker.hyperkit performs about 50 writes per second totaling 500KB per second to the file Docker.qcow2. If you have either Docker for Mac or Docker for Windows installed then it already comes bundled with docker-compose, if however, you are using Linux. One comment suggests adding volume caching described here. Com.docker.hyperkit`0x000000010cbd20db+0x19f9Com.docker.hyperkit`0x000000010cbdb98c+0x157Com.docker.hyperkit`0x000000010cbf6c2d+0x4bdLibsystem_pthread.dylib`_pthread_body+0x7eLibsystem_pthread.dylib`_pthread_start+0x42Com.docker.hyperkit`0x000000010cbd4c4f+0x2aCom.docker.hyperkit`0x000000010cbd20db+0x174aCom.docker.hyperkit`0x000000010cbd878d+0x36Com.docker.hyperkit`0x000000010cbd20db+0x42fCom.docker.hyperkit`0x000000010cbd20db+0x6b6Github – docker/for-mac: com.docker.hyperkit 100% cpu usage is back again #3499. There 1365 stack traces in 17 seconds in which com.docker.hyperkit created threads which averages to 80 threads per second. AppleIntelLpssGspi`AppleIntelLpssGspi::regRead(unsigned int)+0x1fAppleIntelLpssGspi`AppleIntelLpssGspi::transferMmioDuplexMulti(void*, void*, unsigned long long, unsigned int)+0x91AppleIntelLpssSpiController`AppleIntelLpssSpiController::transferDataMmioDuplexMulti(void*, void*, unsigned int, unsigned int)+0xb2AppleIntelLpssSpiController`AppleIntelLpssSpiController::_transferDataSubr(AppleInfoLpssSpiControllerTransferDataRequest*)+0x5bcAppleIntelLpssSpiController`AppleIntelLpssSpiController::_transferData(AppleInfoLpssSpiControllerTransferDataRequest*)+0x24fKernel`IOCommandGate::runAction(int (*)(OSObject*, void*, void*, void*, void*), void*, void*, void*, void*)+0x138AppleIntelLpssSpiController`AppleIntelLpssSpiDevice::transferData(IOMemoryDescriptor*, void*, unsigned long long, unsigned long long, IOMemoryDescriptor*, void*, unsigned long long, unsigned long long, unsigned int, AppleIntelSPICompletion*)+0x151AppleHSSPISupport`AppleHSSPIController::transferData(IOMemoryDescriptor*, void*, unsigned long long, unsigned long long, IOMemoryDescriptor*, void*, unsigned long long, unsigned long long, unsigned int, AppleIntelSPICompletion*)+0xccAppleHSSPISupport`AppleHSSPIController::doSPITransfer(bool, AppleHSSPITransferRetryReason*)+0x97AppleHSSPISupport`AppleHSSPIController::InterruptOccurred(IOInterruptEventSource*, int)+0xf8Kernel`IOInterruptEventSource::checkForWork()+0x13cKernel`IOWorkLoop::runEventSources()+0x1e2The most common stack traces in user space over 17 seconds clearly implicate com.docker.hyperkit. These kernel stack traces look innocuous. So, the docker embedded host isn’t causing the CPU usage spike.Stack traces from the dtrace scripts in the answer below. Excel 2011 for mac recalulation2:My suspicion is that the issue is IO related. Right now I’m just being careful about the amount of volumes I use and closing Docker desktop when not in use. Docker system prune -volumesI also manually removed some named volumes: docker volume rm NameOfVolumeHereThat doesn’t solve the overall issue of not being able to use volumes with Docker for mac. My CPU % went back down to normal after I removed all my volumes. 1:I have the same problem. How to solve this problem? Solution no. That may or may not be informative.This script will do the same for user-space stack traces: #!/usr/sbin/dtrace ustack() ] = count() Run it similarly. If you need more (or less) stack frames from the default with stack( 15 ) ] = count() That will show a stack frame 15 calls deep.The last few stack traces will be where your kernel is spending most of its time. It will emit all the kernel stack traces it encountered, the most common last. /kernelhotspots.d > /tmp/kernel_hot_spots.txtLet it run for a decent amount of time while you’re having CPU issues, then hit CTRL-C to break the script.
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