...
- jmeter
- Open Source
- can be run distributed
- Heavily reliant on IDE to generate tests
- generates xml test plans that are then ran
- http://jmeter.apache.org/
- gatling
- Has a DSL based on scala
- can be run distributed
- http://gatling.io/#/
- grinder
- Open Source
- Allows test scripting in java, jython, and clojure
- can be run distributed
- No recent maintainers
- Would be great base for our own frameowork in some future project
- https://sourceforge.net/p/grinder/code/ci/master/tree/
- spf4j
- (simple performance framework for java)
- This is more of a Performance monitoring/metrics library but could be useful
- http://zolyfarkas.github.io/spf4j/
- locust.io
- Open Source
- Python for writing tests
- can be run distributed
- http://locust.io/
- tsung
- xml based
- can be run distributed
- (written in erlang–just a side note)
| Note |
|---|
| Also I think its important to mention a large reason for preference of locust is the rapid speed at which we can prototype/develop tests. The minimal investment means that down the road when we either invest in creating our own performance testing framework and/or find a suitable long term solution these can be easily ported and thrown away. |
An example of locust which I choose as prime cantidatepersonally would use: in 34 ~30 lines of code
| Code Block | ||||||
|---|---|---|---|---|---|---|
| ||||||
import locust
from locust import task
class IntrigueTasks(locust.TaskSet):
def on_start(self):
self.client.verify = False
@task
def index(self):
self.client.get('/search/catalog/')
@task
def sources(self):
self.client.get('/services/catalog/sources')
@task
def catalogid(self):
self.client.get('/search/catalog/internal/localcatalogid')
@task
def workspace(self):
self.client.get('/search/catalog/internal/enumerations/metacardtype/workspace')
class IntrigueUser(locust.HttpLocust):
task_set = IntrigueTasks
min_wait = 5000
max_wait = 10000
host = "https://example.com:8993" |
...