Documentation and linting improvements (#108)
* Simplifying documentation for getting started: Removed outdated information about install Golang on different platforms and instead included a link to the official Golang website which has more up to date information. Instructions for installing docker-compose have also been added. * Added documentation to all exported functions and structs. * Unexported some structures and functions that were needlessly exported. * Adding golang CI default configuration which can be useful while developing and may be turned on later in the CI. * Moving build process in CI to xenial. * Reducing line size. in some files and shadowing in some test cases.
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@ -88,12 +88,6 @@ On Ubuntu, restarting the aurora-scheduler can be achieved by running the follow
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$ sudo service aurora-scheduler restart
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```
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### Using a custom client
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Pystachio does not yet support launching tasks using custom executors. Therefore, a custom
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client must be used in order to launch tasks using a custom executor. In this case,
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we will be using [gorealis](https://github.com/paypal/gorealis) to launch a task with
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the compose executor on Aurora.
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## Using [dce-go](https://github.com/paypal/dce-go)
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Instead of manually configuring Aurora to run the docker-compose executor, one can follow the instructions provided [here](https://github.com/paypal/dce-go/blob/develop/docs/environment.md) to quickly create a DCE environment that would include mesos, aurora, golang1.7, docker, docker-compose and DCE installed.
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@ -107,80 +101,12 @@ Mesos endpoint --> http://192.168.33.8:5050
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### Installing Go
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#### Linux
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Follow the instructions at the official golang website: [golang.org/doc/install](https://golang.org/doc/install)
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##### Ubuntu
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### Installing docker-compose
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###### Adding a PPA and install via apt-get
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```
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$ sudo add-apt-repository ppa:ubuntu-lxc/lxd-stable
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$ sudo apt-get update
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$ sudo apt-get install golang
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```
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###### Configuring the GOPATH
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Configure the environment to be able to compile and run Go code.
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```
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$ mkdir $HOME/go
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$ echo export GOPATH=$HOME/go >> $HOME/.bashrc
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$ echo export GOROOT=/usr/lib/go >> $HOME/.bashrc
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$ echo export PATH=$PATH:$GOPATH/bin >> $HOME/.bashrc
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$ echo export PATH=$PATH:$GOROOT/bin >> $HOME/.bashrc
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```
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Finally we must reload the .bashrc configuration:
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```
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$ source $HOME/.bashrc
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```
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#### OS X
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One way to install go on OS X is by using [Homebrew](http://brew.sh/)
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##### Installing Homebrew
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Run the following command from the terminal to install Hombrew:
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```
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$ /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
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```
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##### Installing Go using Hombrew
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Run the following command from the terminal to install Go:
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```
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$ brew install go
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```
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##### Configuring the GOPATH
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Configure the environment to be able to compile and run Go code.
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```
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$ mkdir $HOME/go
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$ echo export GOPATH=$HOME/go >> $HOME/.profile
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$ echo export GOROOT=/usr/local/opt/go/libexec >> $HOME/.profile
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$ echo export PATH=$PATH:$GOPATH/bin >> $HOME/.profile
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$ echo export PATH=$PATH:$GOROOT/bin >> $HOME/.profile
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```
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Finally we must reload the .profile configuration:
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```
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$ source $HOME/.profile
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```
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#### Windows
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Download and run the msi installer from https://golang.org/dl/
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## Installing Docker Compose (if manually configured Aurora)
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To show Aurora's new multi executor feature, we need to use at least one custom executor.
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In this case we will be using the [docker-compose-executor](https://github.com/mesos/docker-compose-executor).
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In order to run the docker-compose executor, each agent must have docker-compose installed on it.
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This can be done using pip:
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```
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$ sudo pip install docker-compose
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```
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Agents which will run dce-go will need docker-compose in order to sucessfully run the executor.
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Instructions for installing docker-compose on various platforms may be found on Docker's webiste: [docs.docker.com/compose/install/](https://docs.docker.com/compose/install/)
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## Downloading gorealis
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Finally, we must get `gorealis` using the `go get` command:
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@ -192,7 +118,7 @@ go get github.com/paypal/gorealis
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# Creating Aurora Jobs
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## Creating a thermos job
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To demonstrate that we are able to run jobs using different executors on the
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To demonstrate that we are able to run jobs using different executors on the
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same scheduler, we'll first launch a thermos job using the default Aurora Client.
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We can use a sample job for this:
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```
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If everything went according to plan, a new job will be shown in the Aurora UI.
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We can further investigate inside the Mesos task sandbox. Inside the sandbox, under
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the sample-app folder, we can find a docker-compose.yml-generated.yml. If we inspect this file,
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We can further investigate inside the Mesos task sandbox. Inside the sandbox, under
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the sample-app folder, we can find a docker-compose.yml-generated.yml. If we inspect this file,
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we can find the port at which we can find the web server we launched.
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Under Web->Ports, we find the port Mesos allocated. We can then navigate to:
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A message from the executor should greet us.
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## Creating a Thermos job using gorealis
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It is also possible to create a thermos job using gorealis. To do this, however,
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It is also possible to create a thermos job using gorealis. To do this, however,
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a thermos payload is required. A thermos payload consists of a JSON blob that details
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the entire task as it exists inside the Aurora Scheduler. *Creating the blob is unfortunately
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out of the scope of what gorealis does*, so a thermos payload must be generated beforehand or
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out of the scope of what gorealis does*, so a thermos payload must be generated beforehand or
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retrieved from the structdump of an existing task for testing purposes.
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A sample thermos JSON payload may be found [here](../examples/thermos_payload.json) in the examples folder.
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