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Given that many of these components communicate over the network, there are numerous ways you could assemble them to create an Aurora cluster. The simplest way is to think in terms of three machine profiles:
Components: ZooKeeper, Aurora scheduler, Mesos master
A small number of machines (typically 3 or 5) responsible for cluster orchestration. In most cases it is fine to co-locate these components in anything but very large clusters (> 1000 machines). Beyond that point, operators will likely want to manage these services on separate machines.
In practice, 5 coordinators have been shown to reliably manage clusters with tens of thousands of machines.
Components: Aurora executor, Aurora observer, Mesos agent
The bulk of the cluster, where services will actually run.
Components: Aurora client, Aurora admin client
Any machines that users submit jobs from.
Install Mesos Skip down to install mesos, then run:
sudo start mesos-master
Install ZooKeeper
sudo apt-get install -y zookeeperd
Install the Aurora scheduler
sudo add-apt-repository -y ppa:openjdk-r/ppa
sudo apt-get update
sudo apt-get install -y openjdk-8-jre-headless wget
sudo update-alternatives --set java /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java
wget -c https://apache.bintray.com/aurora/ubuntu-trusty/aurora-scheduler_0.12.0_amd64.deb
sudo dpkg -i aurora-scheduler_0.12.0_amd64.deb
Install Mesos Skip down to install mesos, then run:
sudo systemctl start mesos-master
Install ZooKeeper
sudo rpm -Uvh https://archive.cloudera.com/cdh4/one-click-install/redhat/6/x86_64/cloudera-cdh-4-0.x86_64.rpm
sudo yum install -y java-1.8.0-openjdk-headless zookeeper-server
sudo service zookeeper-server init
sudo systemctl start zookeeper-server
Install the Aurora scheduler
sudo yum install -y wget
wget -c https://apache.bintray.com/aurora/centos-7/aurora-scheduler-0.12.0-1.el7.centos.aurora.x86_64.rpm
sudo yum install -y aurora-scheduler-0.12.0-1.el7.centos.aurora.x86_64.rpm
By default, the scheduler will start in an uninitialized mode. This is because external coordination is necessary to be certain operator error does not result in a quorum of schedulers starting up and believing their databases are empty when in fact they should be re-joining a cluster.
Because of this, a fresh install of the scheduler will need intervention to start up. First,
stop the scheduler service.
Ubuntu: sudo stop aurora-scheduler
CentOS: sudo systemctl stop aurora
Now initialize the database:
sudo -u aurora mkdir -p /var/lib/aurora/scheduler/db
sudo -u aurora mesos-log initialize --path=/var/lib/aurora/scheduler/db
Now you can start the scheduler back up.
Ubuntu: sudo start aurora-scheduler
CentOS: sudo systemctl start aurora
Install Mesos Skip down to install mesos, then run:
start mesos-slave
Install Aurora executor and observer
sudo apt-get install -y python2.7 wget
# NOTE: This appears to be a missing dependency of the mesos deb package and is needed
# for the python mesos native bindings.
sudo apt-get -y install libcurl4-nss-dev
wget -c https://apache.bintray.com/aurora/ubuntu-trusty/aurora-executor_0.12.0_amd64.deb
sudo dpkg -i aurora-executor_0.12.0_amd64.deb
Install Mesos Skip down to install mesos, then run:
sudo systemctl start mesos-slave
Install Aurora executor and observer
sudo yum install -y python2 wget
wget -c https://apache.bintray.com/aurora/centos-7/aurora-executor-0.12.0-1.el7.centos.aurora.x86_64.rpm
sudo yum install -y aurora-executor-0.12.0-1.el7.centos.aurora.x86_64.rpm
The executor typically does not require configuration. Command line arguments can be passed to the executor using a command line argument on the scheduler.
The observer needs to be configured to look at the correct mesos directory in order to find task
sandboxes. You should 1st find the Mesos working directory by looking for the Mesos slave
--work_dir flag. You should see something like:
ps -eocmd | grep "mesos-slave" | grep -v grep | tr ' ' '\n' | grep "\--work_dir"
--work_dir=/var/lib/mesos
If the flag is not set, you can view the default value like so:
mesos-slave --help
Usage: mesos-slave [options]
...
--work_dir=VALUE Directory path to place framework work directories
(default: /tmp/mesos)
...
The value you find for --work_dir, /var/lib/mesos in this example, should match the Aurora
observer value for --mesos-root. You can look for that setting in a similar way on a worker
node by grepping for thermos_observer and --mesos-root. If the flag is not set, you can view
the default value like so:
thermos_observer -h
Options:
...
--mesos-root=MESOS_ROOT
The mesos root directory to search for Thermos
executor sandboxes [default: /var/lib/mesos]
...
In this case the default is /var/lib/mesos and we have a match. If there is no match, you can
either adjust the mesos-master start script(s) and restart the master(s) or else adjust the
Aurora observer start scripts and restart the observers. To adjust the Aurora observer:
sudo sh -c 'echo "MESOS_ROOT=/tmp/mesos" >> /etc/default/thermos'
NB: In Aurora releases up through 0.12.0, you’ll also need to edit /etc/init/thermos.conf like so:
diff -C 1 /etc/init/thermos.conf.orig /etc/init/thermos.conf
*** /etc/init/thermos.conf.orig 2016-03-22 22:34:46.286199718 +0000
--- /etc/init/thermos.conf 2016-03-22 17:09:49.357689038 +0000
***************
*** 24,25 ****
--- 24,26 ----
--port=${OBSERVER_PORT:-1338} \
+ --mesos-root=${MESOS_ROOT:-/var/lib/mesos} \
--log_to_disk=NONE \
Make an edit to add the --mesos-root flag resulting in something like:
grep -A5 OBSERVER_ARGS /etc/sysconfig/thermos-observer
OBSERVER_ARGS=(
--port=1338
--mesos-root=/tmp/mesos
--log_to_disk=NONE
--log_to_stderr=google:INFO
)
sudo apt-get install -y python2.7 wget
wget -c https://apache.bintray.com/aurora/ubuntu-trusty/aurora-tools_0.12.0_amd64.deb
sudo dpkg -i aurora-tools_0.12.0_amd64.deb
sudo yum install -y python2 wget
wget -c https://apache.bintray.com/aurora/centos-7/aurora-tools-0.12.0-1.el7.centos.aurora.x86_64.rpm
sudo yum install -y aurora-tools-0.12.0-1.el7.centos.aurora.x86_64.rpm
brew upgrade
brew install aurora-cli
Client configuration lives in a json file that describes the clusters available and how to reach
them. By default this file is at /etc/aurora/clusters.json.
Jobs may be submitted to the scheduler using the client, and are described with
job configurations expressed in .aurora files. Typically you will
maintain a single job configuration file to describe one or more deployment environments (e.g.
dev, test, prod) for a production job.
Mesos uses a single package for the Mesos master and slave. As a result, the package dependencies are identical for both.
sudo apt-key adv --keyserver keyserver.ubuntu.com --recv E56151BF
DISTRO=$(lsb_release -is | tr '[:upper:]' '[:lower:]')
CODENAME=$(lsb_release -cs)
echo "deb http://repos.mesosphere.io/${DISTRO} ${CODENAME} main" | \
sudo tee /etc/apt/sources.list.d/mesosphere.list
sudo apt-get -y update
# Use `apt-cache showpkg mesos | grep [version]` to find the exact version.
sudo apt-get -y install mesos=0.25.0-0.2.70.ubuntu1404
sudo rpm -Uvh https://repos.mesosphere.io/el/7/noarch/RPMS/mesosphere-el-repo-7-1.noarch.rpm
sudo yum -y install mesos-0.25.0
So you’ve started your first cluster and are running into some issues? We’ve collected some common stumbling blocks and solutions here to help get you moving.
Storage is not READY I1016 16:12:27.234133 26081 replica.cpp:638] Replica in EMPTY status
received a broadcasted recover request
I1016 16:12:27.234256 26084 recover.cpp:188] Received a recover response
from a replica in EMPTY status
When you create a new cluster, you need to inform a quorum of schedulers that they are safe to consider their database to be empty by initializing the replicated log. This is done to prevent the scheduler from modifying the cluster state in the event of multiple simultaneous disk failures or, more likely, misconfiguration of the replicated log path.
Scheduler log contains
Framework has not been registered within the tolerated delay.
Double-check that the scheduler is configured correctly to reach the Mesos master. If you are registering the master in ZooKeeper, make sure command line argument to the master:
--zk=zk://$ZK_HOST:2181/mesos/master
is the same as the one on the scheduler:
-mesos_master_address=zk://$ZK_HOST:2181/mesos/master
The scheduler process commits suicide regularly. This happens under error conditions, but also on purpose in regular intervals.
Aurora is meant to be run under supervision. You have to configure a supervisor like Monit or supervisord to run the scheduler and restart it whenever it fails or exists on purpose.
Aurora supports an active health checking protocol on its admin HTTP interface - if a GET /health
times out or returns anything other than 200 OK the scheduler process is unhealthy and should be
restarted.
For example, monit can be configured with
if failed port 8081 send "GET /health HTTP/1.0\r\n" expect "OK\n" with timeout 2 seconds for 10 cycles then restart
assuming you set -http_port=8081.