I've running a Docker image for browser testing setup on my gitlab runner. This is specified in a gitlab-ci. Now, when I run multiple tests, the first ones succeed and the rest fails. Normally I would specify this in a docker-compose. However I can't figure out how to do this in the gitlab-ci.
On the image key you can only specify a name and entrypoint You have to change your configuration of your gitlab runner to increase shm size. Learn more. How to mount a volume to your Docker Image on a Gitlab Runner? Asked 1 year, 2 months ago. Active 1 year, 2 months ago. Viewed times.
Martijn Imhoff Martijn Imhoff 1 1 gold badge 6 6 silver badges 15 15 bronze badges. Active Oldest Votes. Joost Evertse Joost Evertse 6 6 silver badges 7 7 bronze badges. I did that, but I dont think that does increase the available shared memory on my docker image?
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GitLab Continuous Integration (CI) & Continuous Delivery (CD)
Sign up using Email and Password. Post as a guest Name. Email Required, but never shown. The Overflow Blog. Socializing with co-workers while social distancing. Podcast Programming tutorials can be a real drag. Featured on Meta. Community and Moderator guidelines for escalating issues via new response….
Feedback on Q2 Community Roadmap. Technical site integration observational experiment live on Stack Overflow. Dark Mode Beta - help us root out low-contrast and un-converted bits. Triage needs to be fixed urgently, and users need to be notified upon…. Related Hot Network Questions. Question feed.Open sidebar Chris Hunt gitlab-runner Commits 5b2ed2dc. Commit 5b2ed2dc authored Oct 02, by Mike Walker. Provide initial support for windows in docker executor The docker executor has been updated to provide initial support for docker containers on windows.
The helper image is not compiled into the runner using bindata due to the size of Windows container. At the moment, when using the default helper, it must be present locally. If the image does not exist locally, it will try to pull from remote.
Since the current name does not point to a public repository, this will always fail. This allows someone configuring the runner to point to a different helper image it looks locally then tries to pull the specified image.
This works on both linux and windows. The intention of this is to provide a publically available helper image for windows, so that users do not need to build the image from source or pull and retag into the standard helper image name.
The behavior of this command is to look for the specified image locally and then try to pull from remote repository. The linking functionality used to enable services does not work in windows. This would enable windows to support services as well.Scio bioresonance
The files are then moved into the mapped volume. These workarounds are windows-only. Due to the way Windows output to stdout is handled for PowerShell, you see both the input commands and the output - this is very long, since it included setting all of the environement variables. There's also a potential pitfall if someone supplies a command that requires interaction i. Various fixes related to handling docker for windows have also been implemented.
The Docker executor
We have performed manual testing of the executor on both windows and linux. Unit tests for the docker executor continue to pass. Right now, due to the limitations above, this needs to be done on the runner machine which requires the gitlab runner source codewhich is not ideal. Hide whitespace changes Inline Side-by-side. View file 5b2ed2dc. When set this will mount the specified path in the key as a tmpfs volume in the main container, using the options specified as key.
When set this will mount the specified path in the key as a tmpfs volume in all the service containers, using the options specified as key. Value is expected to be a string. File added. HelperImage s. Debugln "Looking for manually specified prebuilt image"imageName" ImageInspectWithRaw s. Debugln "Manually specified prebuilt image not found, attempting to pull from repository Debugln "Looking for prebuilt image"imageName" Debugln "Prebuilt image not found, attempting to pull from repository Join s.
FullProjectDirdir Debugln "Using path"hostPath"as cache for"containerPath"GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again.
If nothing happens, download the GitHub extension for Visual Studio and try again. The module offers two way to access instances. Check the default example for an usages example. Module is available as Terraform 0.Attraction statistics
Please submit pull-requests to the develop branch. Migration from 0. To migrate the runner, execute the following steps.Ba intake manifold
Please submit pull-requests to the terraform branch. A blog post describes the original version of the the runner. See the post at code. In this scenario the runner agent is running on a single EC2 node and runners are created by docker machine using spot instances. Runners will scale automatically based on configuration. The module creates by default a S3 cache that is shared cross runners spot instances. In this scenario the multiple runner agents can be created with different configuration by instantiating the module multiple times.
The S3 cache can be shared cross runners by managing the cache outside the module. In this scenario not docker machine is used but docker to schedule the builds. Builds will run on the same EC2 instance as the agent.Netgear n300 router setup
No auto scaling is supported. Ensure you have Terraform installed the modules is based on Terraform 0. A handy tool to mange your Terraform version is tfenv. Ensure you have setup your AWS credentials. In order to be able to destroy the module, you will need to run from a host with both jq and aws installed and accessible in the environment. If disabled you must ensure the roles exist.
You can create them manually or via Terraform. By default the runner is registered on initial deployment. In previous versions of this module this was a manual process. The manual process is still supported but will be removed in future releases.
See example for more details. This token value can be found in your GitLab project, group, or global settings. For a generic runner you can find the token in the admin section. By default the runner will be locked to the target project, not run untagged.
Below is an example of the configuration map. For migration to the new setup simply add the runner token to the parameter store.GitLab Docs Choose version.
GitLab Omnibus Runner Charts. This is possible with the use of Docker executor. The Docker executor when used with GitLab CI, connects to Docker Engine and runs each build in a separate and isolated container using the predefined image that is set up in.
That way you can have a simple and reproducible build environment that can also run on your workstation. The added benefit is that you can test all the commands that we will explore later from your shell, rather than having to test them on a dedicated CI server.
The following table lists what combinations of containers, executors, and OS are supported. This means the minimum supported version of Docker is 1.Engine diagram for mercedes benz diagram base website
For more details check Note: The image you choose to run your build in via image directive must have a working shell in its operating system PATH. Supported shells are sh or bash for Linux, cmd or PowerShell for Windows. GitLab Runner cannot execute a command using the underlying OS system calls like exec. Note: Linked containers will share their environment variables. Introduced in GitLab Runner Note: Unlike legacy container links used in other network modes, Docker environment variables will Not be shared across the containers.
Note: Docker networks may conflict with other networks on the host, including other Docker networks, if the CIDR ranges are already in use. The default Docker address pool can be configured via default-address-pool in dockerd. Note: The example above uses the array of tables syntax. Defining services with the array of strings syntax is deprecated and will be removed in a future version. Note : All variables will be passed to all services containers. Secure variables are only passed to the build container.
DevOps Stack Exchange is a question and answer site for software engineers working on automated testing, continuous delivery, service integration and monitoring, and building SDLC infrastructure. It only takes a minute to sign up. Gitlab-runner is choking on my build jobs for a day now and I can't find a way to solve the problem. Sign up to join this community. The best answers are voted up and rise to the top. Home Questions Tags Users Unanswered.
No space left on device when running job on photon-os Ask Question. Asked 1 year ago. Active 7 months ago.
Viewed times. I'm using gitlab and gitlab-ci along with gitlab-runner.Gitlab CI/CD #9 - Docker Executor
Armel Larcier Armel Larcier 4 4 bronze badges. How can I know? Wow I just saw that docker was keeping a whole lot of dangling volumes. Thanks anyway for the input! Active Oldest Votes. Well this seems to be a docker issue.
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The Overflow Blog. Socializing with co-workers while social distancing. Podcast Programming tutorials can be a real drag. Featured on Meta. Community and Moderator guidelines for escalating issues via new response…. Feedback on Q2 Community Roadmap.I am using the docker executor to run tests of a PHP Symfony project. While executing the tests, cache and log files are written to the file system. This works fine in terms of build performance - however, when running multiple build jobs of the same project at the same time e.
For the sake of completeness, I also tried setting the privileged flag to true. Unfortunately right now gitlab ci do not provide any option to override it :. I managed to get the build working by explicitely creating a new tmpfs inside the container:.
My impression is that the gitlab ci runner does not handle tmpfs properly when spinning up a new container - maybe I should create a new issue for that? Not sure that slow performance in docker is gitlab issue. Google for docker issues.
Well, I have slow performance when running a gitlab ci job. I am not interacting with docker directly, so it is primarily a gitlab issue for me. GitLab CI. Thanks for the hint!
Hm, so your docker runner is running in privileged mode? I tried both, with and without privileged mode.When you build tons of kernels every day like my team does, you look for speed improvements anywhere you can.
Caching repositories, artifacts, and compiled objects makes kernel builds faster and it reduces infrastructure costs. We use GitLab CI in plenty of places, and that means we have a lot of gitlab-runner configurations for OpenShift using the kubernetes executor and AWS using the docker-machine executor.
Running gitlab-runner with multiple docker daemons
Not familiar with tmpfs? Arch Linux has a great wiki page for tmpfs and James Coyle has a well-written blog post about what makes it unique from the older ramfs.
It also has incredibly low latency relative to most storage media. Go drag the slider and be amazed. See the warnings at the end of this post. This configuration is buried in the middle of the docker executor documentation. You will need to add some extra configuration to your [runners. By default, this directory will be mounted with noexecbut if you need to execute scripts from that directory, change noexec to exec :.
In our case, compiling kernels requires executing scripts, so we use exec for our tmpfs mounts. You must be specific for exec! As an example, this tmpfs volume will be mounted with noexec since that is the default:.
For even more speed, we moved the objects generated by ccache to the ramdisk. The seek times are much lower and this allows ccache to look for its cached objects much more quickly. Git repositories are also great things to stash on tmpfs.
Big kernel repositories are usually 1. All of the containers on the machine will share the same amount of RAM for their tmpfs volumes. Be sure to account for how much each container will use and how many containers could be present on the same machine. Be aware of how much memory your tests will use when they run. In our case, kernel compiles can consume GB of RAM, depending on configuration, so we try our best to leave some memory free.
These volumes also have no limits on how much data can go into the volume. However, if you put too much data into the tmpfs volume and your system runs critically low on available RAM, you could see a huge drop in performance, system instability, or even a crash. Photo credit. Need for speed We use GitLab CI in plenty of places, and that means we have a lot of gitlab-runner configurations for OpenShift using the kubernetes executor and AWS using the docker-machine executor.
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