locust+boomer+docker+prometheus+grafana性能测试(二)

请参考官网https://docs.docker.com/desktop/mac/install/

global:
scrape_interval: 15s
evaluation_interval: 15s

scrape_configs:
- job_name: prometheus
static_configs:
- targets: ['localhost:9090']
labels:
instance: prometheus

- job_name: locust
metrics_path: '/export/prometheus'
static_configs:
      - targets: ['localhost:8089']
labels:
instance: locust

docker pull bitnami/prometheus
docker run -d --name prometheus -p 9090:9090 -v $PWD/prometheus.yml:/etc/prometheus/prometheus.yml bitnami/prometheus

docker pull grafana/grafana
docker run -d --name grafana -p 3000:3000 grafana/grafana

import six
from itertools import chain


from flask import request, Response
from locust import stats as locust_stats, runners as locust_runners
from locust import User, task, events
from prometheus_client import Metric, REGISTRY, exposition




# This locustfile adds an external web endpoint to the locust master, and makes it serve as a prometheus exporter.
# Runs it as a normal locustfile, then points prometheus to it.
# locust -f prometheus_exporter.py --master
# Lots of code taken from [mbolek's locust_exporter](https://github.com/mbolek/locust_exporter), thx mbolek!
class LocustCollector(object):
registry = REGISTRY


def __init__(self, environment, runner):
self.envirOnment= environment
self.runner = runner


def collect(self):
# collect metrics only when locust runner is spawning or running.
runner = self.runner


if runner and runner.state in (locust_runners.STATE_SPAWNING, locust_runners.STATE_RUNNING):
stats = []
for s in chain(locust_stats.sort_stats(runner.stats.entries), [runner.stats.total]):
stats.append({
"method": s.method,
"name": s.name,
"num_requests": s.num_requests,
"num_failures": s.num_failures,
"avg_response_time": s.avg_response_time,
"min_response_time": s.min_response_time or 0,
"max_response_time": s.max_response_time,
"current_rps": s.current_rps,
"median_response_time": s.median_response_time,
"ninetieth_response_time": s.get_response_time_percentile(0.9),
# only total stats can use current_response_time, so sad.
# "current_response_time_percentile_95": s.get_current_response_time_percentile(0.95),
"avg_content_length": s.avg_content_length,
"current_fail_per_sec": s.current_fail_per_sec
})


# perhaps StatsError.parse_error in e.to_dict only works in python slave, take notices!
errors = [e.to_dict() for e in six.itervalues(runner.stats.errors)]


metric = Metric('locust_user_count', 'Swarmed users', 'gauge')
metric.add_sample('locust_user_count', value=runner.user_count, labels={})
yield metric


metric = Metric('locust_errors', 'Locust requests errors', 'gauge')
for err in errors:
metric.add_sample('locust_errors', value=err['occurrences'],
labels={'path': err['name'], 'method': err['method'],
'error': err['error']})
yield metric


is_distributed = isinstance(runner, locust_runners.MasterRunner)
if is_distributed:
metric = Metric('locust_slave_count', 'Locust number of slaves', 'gauge')
metric.add_sample('locust_slave_count', value=len(runner.clients.values()), labels={})
yield metric


metric = Metric('locust_fail_ratio', 'Locust failure ratio', 'gauge')
metric.add_sample('locust_fail_ratio', value=runner.stats.total.fail_ratio, labels={})
yield metric


metric = Metric('locust_state', 'State of the locust swarm', 'gauge')
metric.add_sample('locust_state', value=1, labels={'state': runner.state})
yield metric


stats_metrics = ['avg_content_length', 'avg_response_time', 'current_rps', 'current_fail_per_sec',
'max_response_time', 'ninetieth_response_time', 'median_response_time',
'min_response_time',
'num_failures', 'num_requests']


for mtr in stats_metrics:
mtype = 'gauge'
if mtr in ['num_requests', 'num_failures']:
mtype = 'counter'
metric = Metric('locust_stats_' + mtr, 'Locust stats ' + mtr, mtype)
for stat in stats:
# Aggregated stat's method label is None, so name it as Aggregated
# locust has changed name Total to Aggregated since 0.12.1
if 'Aggregated' != stat['name']:
metric.add_sample('locust_stats_' + mtr, value=stat[mtr],
labels={'path': stat['name'], 'method': stat['method']})
else:
metric.add_sample('locust_stats_' + mtr, value=stat[mtr],
labels={'path': stat['name'], 'method': 'Aggregated'})
yield metric




@events.init.add_listener
def locust_init(environment, runner, **kwargs):
print("locust init event received")
if environment.web_ui and runner:
@environment.web_ui.app.route("/export/prometheus")
def prometheus_exporter():
registry = REGISTRY
encoder, content_type = exposition.choose_encoder(request.headers.get('Accept'))
if 'name[]' in request.args:
registry = REGISTRY.restricted_registry(request.args.get('name[]'))
body = encoder(registry)
return Response(body, content_type=content_type)


REGISTRY.register(LocustCollector(environment, runner))




class Dummy(User):
@task(20)
def hello(self):
pass

locust --master -f prometheus_exporter.py
go run slave.go  --master-host=127.0.0.1 --master-port=5557 --max-rps 10000