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rally-openstack/doc/source/plugins/implementation/sla_plugin.rst
Boris Pavlovic 2f4555be27 Rephrase docs call things properly
In a lot of placeses we are using word "benchmark" which
can mean workload, subtask, or test case which is very confusing.

This patch partially address wrong usage of "benchamrk" word

Change-Id: Id3b2b7ae841a5243684c12cc51c96f005dbe7544
2017-08-03 18:39:10 +00:00

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2.9 KiB
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..
Copyright 2016 Mirantis Inc. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may
not use this file except in compliance with the License. You may obtain
a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
License for the specific language governing permissions and limitations
under the License.
.. _plugins_sla_plugin:
SLA as a plugin
===============
Let's create an SLA (success criterion) plugin that checks whether the
range of the observed performance measurements does not exceed the
allowed maximum value.
Creation
^^^^^^^^
Inherit a class for your plugin from the base *SLA* class and implement its API
(the *add_iteration(iteration)*, the *details()* method):
.. code-block:: python
from rally.task import sla
from rally.common.i18n import _
@sla.configure(name="max_duration_range")
class MaxDurationRange(sla.SLA):
"""Maximum allowed duration range in seconds."""
CONFIG_SCHEMA = {
"type": "number",
"minimum": 0.0,
}
def __init__(self, criterion_value):
super(MaxDurationRange, self).__init__(criterion_value)
self._min = 0
self._max = 0
def add_iteration(self, iteration):
# Skipping failed iterations (that raised exceptions)
if iteration.get("error"):
return self.success # This field is defined in base class
# Updating _min and _max values
self._max = max(self._max, iteration["duration"])
self._min = min(self._min, iteration["duration"])
# Updating successfulness based on new max and min values
self.success = self._max - self._min <= self.criterion_value
return self.success
def details(self):
return (_("%s - Maximum allowed duration range: %.2f%% <= %.2f%%") %
(self.status(), self._max - self._min, self.criterion_value))
Usage
^^^^^
The new plugin can be used by specifying it in SLA section. Like below:
.. code-block:: json
{
"Dummy.dummy": [
{
"args": {
"sleep": 0.01
},
"runner": {
"type": "constant",
"times": 5,
"concurrency": 1
},
"context": {
"users": {
"tenants": 1,
"users_per_tenant": 1
}
},
"sla": {
"max_duration_range": 2.5
}
}
]
}