SkyWalking-Python: The Python Agent for Apache SkyWalking, which provides the native tracing abilities for Python project.
SkyWalking: an APM(application performance monitor) system, especially designed for microservices, cloud native and container-based (Docker, Kubernetes, Mesos) architectures.
The Python agent module is published to Pypi, from where you can use pip
to install:
# Install the latest version, using the default gRPC protocol to report data to OAP
pip install "apache-skywalking"
# Install the latest version, using the http protocol to report data to OAP
pip install "apache-skywalking[http]"
# Install the latest version, using the kafka protocol to report data to OAP
pip install "apache-skywalking[kafka]"
# Install a specific version x.y.z
# pip install apache-skywalking==x.y.z
pip install apache-skywalking==0.1.0 # For example, install version 0.1.0 no matter what the latest version is
Refer to the FAQ.
SkyWalking Python SDK requires SkyWalking 8.0+ and Python 3.5+.
If you want to try out the latest features that are not released yet, please refer to the guide to build from sources.
from skywalking import agent, config
config.init(collector='127.0.0.1:11800', service='your awesome service')
agent.start()
Alternatively, you can also pass the configurations via environment variables (such as SW_AGENT_NAME
, SW_AGENT_COLLECTOR_BACKEND_SERVICES
, etc.) so that you don't need to call config.init
.
All supported environment variables can be found here
There are some built-in plugins (such as http.server
, Flask
, Django
etc.) that support automatic instrumentation of Python libraries, the complete lists can be found here
Apart from the libraries that can be instrumented automatically, we also provide some APIs to enable manual instrumentation.
The code snippet below shows how to create entry span, exit span and local span.
from skywalking import Component
from skywalking.trace.context import SpanContext, get_context
from skywalking.trace.tags import Tag
context: SpanContext = get_context() # get a tracing context
# create an entry span, by using `with` statement,
# the span automatically starts/stops when entering/exiting the context
with context.new_entry_span(op='https://github.com/apache') as span:
span.component = Component.Flask
# the span automatically stops when exiting the `with` context
with context.new_exit_span(op='https://github.com/apache', peer='localhost:8080') as span:
span.component = Component.Flask
with context.new_local_span(op='https://github.com/apache') as span:
span.tag(Tag(key='Singer', val='Nakajima'))
from time import sleep
from skywalking import Component
from skywalking.decorators import trace, runnable
from skywalking.trace.context import SpanContext, get_context
from skywalking.trace.ipc.process import SwProcess
@trace() # the operation name is the method name('some_other_method') by default
def some_other_method():
sleep(1)
@trace(op='awesome') # customize the operation name to 'awesome'
def some_method():
some_other_method()
@trace(op='async_functions_are_also_supported')
async def async_func():
return 'asynchronous'
@trace()
async def async_func2():
return await async_func()
@runnable() # cross thread propagation
def some_method():
some_other_method()
from threading import Thread
t = Thread(target=some_method)
t.start()
# When another process is started, agents will also be started in other processes,
# supporting only the process mode of spawn.
p1 = SwProcess(target=some_method)
p1.start()
p1.join()
context: SpanContext = get_context()
with context.new_entry_span(op=str('https://github.com/apache/skywalking')) as span:
span.component = Component.Flask
some_method()
Before submitting a pull request or push a commit, please read our contributing and developer guide.
Check the FAQ page or add the FAQs there.
Apache 2.0