How To Get A Better Disk Performance In Docker For Mac
(Submitted this via email, but since reports are happening on the forum now, I’m sharing here as well!) Expected behavior File access in volumes should be comparable to access times in non-volumes, similarly to Linux installations of docker, or docker on mac via docker-machine and VirtualBox. Actual behavior File access in volumes is many times slower than on non-volumes. Information OS X: version 10.11.4 (build: 15E65) Docker.app: version v1.10.3-beta5 Running diagnostic tests: [OK] docker-cli [OK] Moby booted [OK] driver.amd64-linux [OK] vmnetd [OK] lofs [OK] osxfs [OK] db [OK] slirp [OK] menubar [OK] environment [OK] Docker [OK] VT-x Docker logs are being collected into /tmp/20100.tar.gz. Your unique id in bugsnag is: 4D76F500-A6CA-45D2-B18A-ABFFBF17071E Please quote this in all correspondence.
Consequently, I like docker-sync in that getting back to “vanilla” Docker for Mac is as simple as tweaking the volumes in docker-compose.yml and dropping docker-sync.yml. And I do pretty much use docker-compose for everything, though I can see how docker-sync would be much less nice to use without it. Apr 11, 2016 After upgrading to beta6, this issue persists. My test suite for one of my microservices takes 100 seconds to execute under docker-machine on VirtualBox, and 238 seconds under Docker for Mac Beta. Underlying cause still seems to be CPU-bound disk access in the latter. The former does not experience this issue. The bulk of the disk usage was in /var/lib/docker/aufs. This is where the container diffs get cached. This is where the container diffs get cached. Reading through various other Github issues, it sounds like these can occasionally orphan themselves which prevents them from getting cleaned up properly.
See steps to reproduce for the simplest use case. The impact is that my team’s testing workflow involves, rather than building a new container via docker-compose for testing, simply running the node:4 container and mounting the current working directory as a volume and running tests. Executing common JS build tools like eslint, babel, and istanbul take an infeasibly long time compared to how quickly it ran using docker-machine over VirtualBox. Steps to reproduce the behavior • Get on the commandline of a lightweight docker container, and mount a volume: docker run --rm -it -v `pwd`:`pwd` -w `pwd` alpine /bin/sh • Write a few MB of data to a file on the volume, time it: time dd if=/dev/zero of=test.dat bs=1024 count=100000 • Notice the time is ~15 seconds, and during the operation the CPU usage of the docker process is 100%. For just over 7MB of data!
The core of the Docker Management Pack from Blue Medora offers access to more metrics, dashboards and reports so you have better visibility into performance across your Docker environment. The management pack adds more than 80 metrics, including container service/container CPU usage, memory usage, network throughput and filesystem disk usage.
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Pen pad driver for mac. Now cd / and run the same command. Oci jdbc driver for mac. Notice the time is 0.19 seconds with no measurable CPU spike. We are aware that file sharing is significantly slower than it needs to be to provide a native-like experience and are approaching the volume mount performance issue from multiple angles.
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