Python Agent for Apache SkyWalking
Project description
SkyWalking Python Agent
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.
Install
From Pypi
The Python agent module is published to Pypi, from where you can use pip
to install:
# Install the latest version pip install apache-skywalking # 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
From Source Codes
Refer to the FAQ.
Set up Python Agent
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
Supported Libraries
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
API
Apart from the libraries that can be instrumented automatically, we also provide some APIs to enable manual instrumentation.
Create Spans
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'))
Decorators
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() @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()
Contributing
Before submitting a pull request or push a commit, please read our contributing and developer guide.
FAQs
Check the FAQ page or add the FAQs there.
License
Apache 2.0
Project details
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