Cleaned up the README and added new information to Getting_Started.
Made client point to new location of docker-compose-executor release
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4 changed files with 60 additions and 33 deletions
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@ -3,7 +3,7 @@
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Go library for communicating with Apache Aurora.
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Named after the northern lights (Aurora Borealis).
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### Aurora compatible version
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### Aurora version compatibility
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Please see [AURORA.VER](./AURORA.VER) to see the latest Aurora version against which this
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library has been tested. Vendoring a working version of this library is highly recommended.
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@ -1,7 +1,13 @@
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# Running custom executors on Aurora
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In this instance we will be using the docker-compose executor to demonstrate
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how Aurora can use multiple executors on a single Scheduler.
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In this document, we will be using the docker-compose executor to demonstrate
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how Aurora can use multiple executors on a single Scheduler. For this guide,
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we will be using a vagrant instance to demonstrate the setup process. Many of the same
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steps also apply to an Aurora installation made via a package manager. Differences in how to configure
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the cluster between the vagrant image and the package manager will be clarified when necessary.
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## Spinning up an Aurora instance with Vagrant
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Follow the [guide](https://github.com/apache/aurora/blob/master/docs/operations/configuration.md) at the Aurora repository in order to spin up a local cluster.
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## Configuring Scheduler to use Docker-Compose executor
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In order use the docker compose executor with Aurora, we must first give the scheduler
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@ -10,20 +16,23 @@ a configuration file that contains information on how to run the executor.
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### Configuration file
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The configuration is a JSON file that contains where to find the executor and how to run it.
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More information about how an executor may be configured for consumption by Aurora can be found [here](https://github.com/apache/aurora/blob/master/docs/operations/configuration.md)
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under the custom executors section.
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A sample config file for the docker-compose executor looks like this:
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```
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[
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{
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"executor":{
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"command":{
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"value":"java -jar docker-compose-executor_0.0.1.jar",
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"value":"java -jar docker-compose-executor_0.1.0.jar",
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"shell":"true",
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"uris":[
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{
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"cache":false,
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"executable":true,
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"extract":false,
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"value":"https://dl.bintray.com/rdelvalle/mesos-compose-executor/docker-compose-executor_0.0.1.jar"
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"value":"https://github.com/mesos/docker-compose-executor/releases/download/0.1.0/docker-compose-executor_0.1.0.jar"
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}
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]
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},
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### Configuring Scheduler to run custom executor
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#### Setting the proper flags `-custom_executor_config` flag and enabling mesos fetcher on jobs
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Some flags need to be set on the Aurora scheduler in order for custom executors to work properly.
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The `--custom_executor_config` flag must point to the location of the JSON blob.
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The `--enable_mesos_fetcher` flag must be set to true in order to allow jobs to fetch resources.
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#### On vagrant
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Modify the file `/etc/init/aurora-scheduler.conf` to include:
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* Log into the vagrant image by going to the folder at which the Aurora repository
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was cloned and running:
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```
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$ vagrant ssh
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```
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* Write the sample JSON blob provided above to a file inside the vagrant image.
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* Inside the vagrant image, modify the file `/etc/init/aurora-scheduler.conf` to include:
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```
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--custom_executor_config=<Location of JSON blob> \
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--enable_mesos_fetcher=true
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```
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#### On a scheduler installed via package manager
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Modify the file `/etc/default/aurora-scheduler.conf` to include:
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* Write the sample JSON blob provided above to a file on the same machine where the scheduler is running.
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* Modify the file `/etc/default/aurora-scheduler.conf` to include:
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```
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AURORA_EXTRA_ARGS="--custom_executor_config=<Location of JSON blob> \
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--enable_mesos_fetcher=true"
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@ -72,42 +93,47 @@ the compose executor on Aurora.
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#### Ubuntu
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##### Add PPA and install via apt-get
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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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##### Set GOPATH
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##### Setting 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 PATH=$PATH:$GOPATH/bin >> $HOME/.profile
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$ echo export PATH=$PATH:$GOROOT/bin >> $HOME/.profile
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$ echo export GOPATH=$HOME/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 $HOME/.bashrc
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```
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### OS X
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One way to install go on OS X is by using [Homebrew](http://brew.sh/)
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#### Install Homebrew
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#### Installing Homebrew
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Run the following command from the terminal to install Hombrew:
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```
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$ /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
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```
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#### Install Go using Hombrew
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#### Installing Go using Hombrew
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Run the following command from the terminal to install Go:
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```
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$ brew install go
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```
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#### Set the GOPATH
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#### Setting the GOPATH
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Configure the environment to be able to compile and run Go code.
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Download and run the msi installer from https://golang.org/dl/
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## Installing Docker Compose
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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
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installed on it.
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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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Now that we have a thermos job running, it's time to launch a docker-compose job.
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We'll be using the gorealis library sample client to send a create job request
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to the scheduler, specifiying that we would like to use the docker-compose executor.
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to the scheduler, specifying that we would like to use the docker-compose executor.
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Furthermore, we will be specifying what resources we need to download in order to
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successfully run a docker compose job.
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@ -186,19 +213,19 @@ successfully run a docker compose job.
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The job configuration in the sample client looks like this:
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```
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job = realis.NewJob().
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Environment("prod").
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Role("vagrant").
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Name("docker-compose").
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ExecutorName("docker-compose-executor").
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ExecutorData("{}").
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CPU(1).
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Ram(64).
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Disk(100).
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IsService(false).
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InstanceCount(1).
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AddPorts(1).
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AddLabel("fileName", "sample-app/sample-app.yml").
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AddURI("https://dl.bintray.com/rdelvalle/mesos-compose-executor/sample-app.tar.gz", true, true)
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Environment("prod").
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Role("vagrant").
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Name("docker-compose").
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ExecutorName("docker-compose-executor").
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ExecutorData("{}").
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CPU(1).
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RAM(64).
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Disk(100).
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IsService(false).
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InstanceCount(1).
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AddPorts(1).
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AddLabel("fileName", "sample-app/docker-compose.yml").
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AddURI("https://dl.bintray.com/rdelvalle/mesos-compose-executor/sample-app.tar.gz", true, true)
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```
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Now we run the client sending the create job command to Aurora:
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IsService(false).
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InstanceCount(1).
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AddPorts(1).
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AddLabel("fileName", "sample-app/sample-app.yml").
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AddLabel("fileName", "sample-app/docker-compose.yml").
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AddURI("https://dl.bintray.com/rdelvalle/mesos-compose-executor/sample-app.tar.gz", true, true)
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break
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default:
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"ephemeral": false,
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"max_failures": 1,
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"min_duration": 5,
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"cmdline": "\n while true; do\n echo hello world from GoRealis\n sleep 10\n done\n ",
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"cmdline": "\n while true; do\n echo hello world from gorealis\n sleep 10\n done\n ",
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"final": false
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}
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],
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