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  • Installing
  • macOS troubleshooting

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GitLab Runner can be installed and updated on macOS.

Installing

There are two methods for installing GitLab Runner on macOS:

  • Manual installation. This method is officially supported and recommended by GitLab.
  • Homebrew installation. Install with Homebrew as an alternative to manual installation.

Manual installation (official)

For documentation on GitLab Runner 9 and earlier, visit this documentation.
  1. Download the binary for your system:

    You can download a binary for every available version as described inBleeding Edge - download any other tagged release.

  2. Give it permissions to execute:

The rest of the commands should execute as the user who will run the runners.

  1. When you build iOS or macOS applications on macOS, use the shell executor.The build and tests run as the identity of the logged-in user, directly on the build host.It does not run in a container. This is less secure than using container executors. For more information, see thesecurity implications documentationfor additional detail on what to keep in mind in this scenario.
  2. Open a terminal and switch to the current user.

  3. Install GitLab Runner as a service and start it:

GitLab Runner is installed and will be run after a system reboot.

Homebrew installation (alternative)

A Homebrew formula is available to install GitLab.

To install GitLab Runner using Homebrew:

  1. Install GitLab Runner.

  2. Install GitLab Runner as a service and start it.

GitLab Runner is installed and running.

Limitations on macOS

The service needs to be installed from a Terminal window logged inas your current user. Only then will you be able to manage the service.

To sign in as your current user, run the command su - <username> in the terminal. You can obtain your username by running the command ls /users.

Currently, the only proven way for it to work in macOS is by running the service in user-mode.

Since the service will be running only when the user is logged in, you shouldenable auto-login on your macOS machine.

The service will be launched as a LaunchAgent. By using LaunchAgents,the builds will be able to perform UI interactions, making it possible to run andtest in the iOS simulator.

It’s worth noting that macOS also has LaunchDaemons, services runningcompletely in background. LaunchDaemons are run on system startup, but theydon’t have the same access to UI interactions as LaunchAgents. You can try torun the Runner’s service as a LaunchDaemon, but this mode of operation is notcurrently supported.

You can verify that GitLab Runner created the service configuration file afterexecuting the install command, by checking the~/Library/LaunchAgents/gitlab-runner.plist file.

If Homebrew was used to install git, it may have added a /usr/local/etc/gitconfig filecontaining:

Ssh

This tells Git to cache user credentials in the keychain, which may not be what you wantand can cause fetches to hang. You can remove the line from the system gitconfigwith:

Alternatively, you can just disable credential.helper for the GitLab user:

For

You can check the status of the credential.helper with:

Manual update

  1. Stop the service:

  2. Download the binary to replace the GitLab Runner executable:

    You can download a binary for every available version as described inBleeding Edge - download any other tagged release.

  3. Give it permissions to execute:

  4. Start the service:

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Make sure that you read the FAQ section which describessome of the most common problems with GitLab Runner.

Upgrade the service file

In order to upgrade the LaunchAgent configuration, you need to uninstall andinstall the service:

Using codesign with the GitLab Runner Service

If you installed gitlab-runner on macOS with homebrew and your build callscodesign, you may need to set <key>SessionCreate</key><true/> to haveaccess to the user keychains. In the following example we run the builds as the gitlabuser and want access to the signing certificates installed by that user for codesigning:

macOS troubleshooting

The following relate to troubleshooting on macOS.

'launchctl' failed: exit status 112, Could not find domain for

This message may occur when you try to install GitLab Runner on macOS. Make surethat you manage GitLab Runner service from the GUI Terminal application, notthe SSH connection.

Failed to authorize rights (0x1) with status: -60007.

If GitLab Runner is stuck on the above message when using macOS, there are twocauses to why this happens:

  1. Make sure that your user can perform UI interactions:

    The first command enables access to developer tools for your user.The second command allows the user who is member of the developer group todo UI interactions, e.g., run the iOS simulator.

  2. Make sure that your GitLab Runner service doesn’t use SessionCreate = true.Previously, when running GitLab Runner as a service, we were creatingLaunchAgents with SessionCreate. At that point (Mavericks), this wasthe only solution to make Code Signing work. That changed recently withOS X El Capitan which introduced a lot of new security features thataltered this behavior.Since GitLab Runner 1.1, when creating a LaunchAgent, we don’t setSessionCreate. However, in order to upgrade, you need to manuallyreinstall the LaunchAgent script:

    Then you can verify that ~/Library/LaunchAgents/gitlab-runner.plist hasSessionCreate set to false.

fatal: unable to access 'https://path:3000/user/repo.git/': Failed to connect to path port 3000: Operation timed out error in the job

If one of the jobs fails with this error, make sure the runner can connect to your GitLab instance. The connection could be blocked by things like:

  • firewalls
  • proxies
  • permissions
  • routing configurations

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Get Help

If you didn't find what you were looking for,search the docs.

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For problems setting up or using this feature (depending on your GitLabsubscription).

Request supportPlease enable JavaScript to view thecomments powered by Disqus.12 October 2015 -- BusyBox 1.24.0 (unstable)

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BusyBox 1.24.0. (git, patches, how to add a patch)

Sizes of busybox-1.23.2 and busybox-1.24.0 (with equivalent config, static uclibc build):

I would like to feature some less-known useful tools in Busybox. Let me talk about 'nmeter' applet. I find myself using it surprisingly often. For example, it helped me to correctly parallelize a very large multiple kernel build job (~30000 kernel builds) so that all CPUs are loaded, but machine isn't evicting file cache because it has too many jobs for installed RAM.

When dealing with a machine which seems to be sluggish, it takes some time to pinpoint the cause. It can be lack of free memory. It can be excessive CPU load. It can be misbehaving (slow) storage or network. nmeter allows to monitor many such parameters and presents them in a compact one-line form. This lets you see the time evolution as well. Here is an example:

If CPU load is high, the CPU bar will immediately show this. %x column shows context switches per second, allowing to detect cases where processes are waking and waiting on each other excessively. %[mf] is free memory, and it is smart enough to show actual usable memory: unlike many other tools, it considers buffer cache as free memory. %p and %[pn] columns show forks and number of processes, they let you detect a case where a daemon is respawning continuously. Two %b numbers are block IO read and write rates. %[neth0] is network IO rate on the specified interface. More specifiers exist - please read 'nmeter --help' output.

With -d MSEC option and small values of MSEC, this tool allows to see a detailed view of bursty activity. Sometimes you can literally see every network packet arriving. To make this possible, this tool is written so that it reads the minimum of informaion it needs from /proc. In this example, we can see how a packet arrived to eth0, complete with its IRQ#30 firing:

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As you see, each update takes about 0.2 millisecond of processing time. You can run even -d1, if you want. -d0 also works, it is a mode where updates are continuous.

On the other hand, with large update interval, you can run this tool continuously on a server machine and save its output, to be able to investigate mysterious drops in performance at a time when there was no operator present. If you have an oopsing server, it is useful to have another nmeter instance's output to be constantly printed to its console, if you want to see what was going on just before oops. 'Is my server occasionally dies in an IRQ storm?' situation.

Changes since previous release: