
Pypi url changed from [1] to [2] [1] https://pypi.python.org/pypi/<package> [2] https://pypi.org/project/<package> Change-Id: Ie35939b5152ce2c44f599d9a1cd11339a18c0913
5.7 KiB
Installation
Installation in Python environment
Shaker is distributed as Python package and available through PyPi (https://pypi.org/project/pyshaker/). It is recommended to be installed inside virtualenv.
$ virtualenv venv
$ . venv/bin/activate
$ pip install pyshaker
Installation on Ubuntu Cloud Image
Installation on fresh system requires additional libraries needed by some of dependencies.
$ sudo apt-add-repository "deb http://nova.clouds.archive.ubuntu.com/ubuntu/ trusty multiverse"
$ sudo apt-get update
$ sudo apt-get install python-dev libzmq-dev
$ wget -O get-pip.py https://bootstrap.pypa.io/get-pip.py && sudo python get-pip.py
$ sudo pip install pbr pyshaker
$ shaker --help
OpenStack Deployment
Requirements:
- Computer where Shaker is executed should be routable from OpenStack instances and should have open port to accept connections from agents running on instances
For full features support it is advised to run Shaker by admin user.
However with some limitations it works for non-admin user - see non_admin_mode
for
details.
Build base image
Automatic build in OpenStack
Note
This method requires Glance v.1 API; the base image is downloaded directly from Internet into Glance.
Build the master image. The process downloads Ubuntu cloud image,
installs all necessary packages and stores snapshot into Glance. This
snapshot is used by shaker
as base of instances.
$ shaker-image-builder
Manual build with disk-image-builder
Shaker image can also be built using diskimage-builder tool.
- Install disk-image-builder. Refer to diskimage-builder installation
- Clone Shaker repo:
git clone git://git.openstack.org/openstack/shaker
- Add search path for diskimage-builder elements:
export ELEMENTS_PATH=shaker/shaker/resources/image_elements
- Build the image based on Ubuntu Xenial:
disk-image-create -o shaker-image.qcow2 ubuntu vm shaker
- Upload image into Glance:
openstack image create --public --file shaker-image.qcow2 --disk-format qcow2 shaker-image
- Create flavor:
openstack flavor create --ram 512 --disk 3 --vcpus 1 shaker-flavor
Running Shaker by non-admin user
While the full feature set is available when Shaker is run by admin user, it works with some limitations for non-admin user too.
Image builder limitations
Image builder requires flavor name to be specified via command line parameter --flavor-name. Create flavor prior running Shaker, or choose one that satisfies instance template requirements. For Ubuntu-based image the requirement is 512 Mb RAM, 3 Gb disk and 1 CPU
Execution limitations
Non-admin user has no permissions to list compute nodes and to deploy instances to particular compute nodes.
When instances need to be deployed on low number of compute nodes it is possible to use server groups and specify anti-affinity policy within them. Note however that server group size is limited by quota_server_group_members parameter in nova.conf. The following is part of Heat template adds server groups.
Add to resources section:
server_group:
type: OS::Nova::ServerGroup
properties:
name: {{ unique }}_server_group
policies: [ 'anti-affinity' ]
Add attribute to server definition:
scheduler_hints:
group: { get_resource: server_group }
The similar patch is needed to implement dense scenarios. The difference is in server group policy, it should be 'affinity'.
Alternative approach is to specify number of compute nodes. Note that the number must always be specified. If Nova distributes instances evenly (or with normal random distribution) then the chances that instances are placed on unique nodes are quite high (well, there will be collisions due to https://en.wikipedia.org/wiki/Birthday_problem, so expect that number of unique pair will be lower than specified number of compute nodes).
Non-OpenStack Deployment (aka Spot mode)
To run scenarios against remote nodes (shaker-spot
command) install shaker on the local host. Make sure all necessary tools
are installed too. Refer to spot_scenarios
for more details.
Run Shaker against OpenStack deployed by Fuel-CCP on Kubernetes
Shaker can be run in Kubernetes environment and can execute scenarios against OpenStack deployed by Fuel-CCP tool.
Shaker app consists of service:
k8s/shaker-svc.yaml
and pod:
k8s/shaker-pod.yaml
You may need to change values for variables defined in config files:
- SHAKER_SERVER_ENDPOINT should point to external address of Kubernetes cluster, and OpenStack instances must have access to it
- OS_*** parameters describe connection to Keystone endpoint
- SHAKER_SCENARIO needs to be altered to run the needed scenario
- Pod is configured to write logs into /tmp on the node that hosts the pod
- port, nodePort and targetPort must be equal and not to conflict with other exposed services