aws-xray-sdk 1.1.1

Configuration

from aws_xray_sdk.core import xray_recorder

xray_recorder.configure(
    sampling=False,
    context_missing='LOG_ERROR',
    plugins=('EC2Plugin', 'ECSPlugin', 'ElasticBeanstalkPlugin'),
    daemon_address='127.0.0.1:3000',
    dynamic_naming='*mysite.com*'
)

Start a custom segment/subsegment

from aws_xray_sdk.core import xray_recorder

# Start a segment
segment = xray_recorder.begin_segment('segment_name')
# Start a subsegment
subsegment = xray_recorder.begin_subsegment('subsegment_name')

# Add metadata or annotation here if necessary
segment.put_metadata('key', dict, 'namespace')
subsegment.put_annotation('key', 'value')
xray_recorder.end_subsegment()

# Close the segment
xray_recorder.end_segment()

Capture

from aws_xray_sdk.core import xray_recorder

@xray_recorder.capture('subsegment_name')
def myfunc():
    # Do something here

myfunc()

from aws_xray_sdk.core import xray_recorder

@xray_recorder.capture_async('subsegment_name')
async def myfunc():
    # Do something here

async def main():
    await myfunc()

Adding annotations/metadata using recorder

from aws_xray_sdk.core import xray_recorder

# Start a segment if no segment exist
segment1 = xray_recorder.begin_segment('segment_name')

# This will add the key value pair to segment1 as it is active
xray_recorder.put_annotation('key', 'value')

# Start a subsegment so it becomes the active trace entity
subsegment1 = xray_recorder.begin_subsegment('subsegment_name')

# This will add the key value pair to subsegment1 as it is active
xray_recorder.put_metadata('key', 'value')

if xray_recorder.is_sampled():
    # some expensitve annotations/metadata generation code here
    val = compute_annotation_val()
    metadata = compute_metadata_body()
    xray_recorder.put_annotation('mykey', val)
    xray_recorder.put_metadata('mykey', metadata)

Trace AWS Lambda functions

from aws_xray_sdk.core import xray_recorder

def lambda_handler(event, context):
    # ... some code

    subsegment = xray_recorder.begin_subsegment('subsegment_name')
    # Code to record
    # Add metadata or annotation here, if necessary
    subsegment.put_metadata('key', dict, 'namespace')
    subsegment.put_annotation('key', 'value')

    xray_recorder.end_subsegment()

    # ... some other code

Trace ThreadPoolExecutor

import concurrent.futures

import requests

from aws_xray_sdk.core import xray_recorder
from aws_xray_sdk.core import patch

patch(('requests',))

URLS = ['http://www.amazon.com/',
        'http://aws.amazon.com/',
        'http://example.com/',
        'http://www.bilibili.com/',
        'http://invalid-domain.com/']

def load_url(url, trace_entity):
    # Set the parent X-Ray entity for the worker thread.
    xray_recorder.set_trace_entity(trace_entity)
    # Subsegment captured from the following HTTP GET will be
    # a child of parent entity passed from the main thread.
    resp = requests.get(url)
    # prevent thread pollution
    xray_recorder.clear_trace_entities()
    return resp

# Get the current active segment or subsegment from the main thread.
current_entity = xray_recorder.get_trace_entity()
with concurrent.futures.ThreadPoolExecutor(max_workers=5) as executor:
    # Pass the active entity from main thread to worker threads.
    future_to_url = {executor.submit(load_url, url, current_entity): url for url in URLS}
    for future in concurrent.futures.as_completed(future_to_url):
        url = future_to_url[future]
        try:
            data = future.result()
        except Exception:
            pass

Patch third-party libraries

from aws_xray_sdk.core import patch

libs_to_patch = ('boto3', 'mysql', 'requests')
patch(libs_to_patch)

Add Django middleware

In django settings.py, use the following.

INSTALLED_APPS = [
    # ... other apps
    'aws_xray_sdk.ext.django',
]

MIDDLEWARE = [
    'aws_xray_sdk.ext.django.middleware.XRayMiddleware',
    # ... other middlewares
]

Add Flask middleware

from aws_xray_sdk.core import xray_recorder
from aws_xray_sdk.ext.flask.middleware import XRayMiddleware

app = Flask(__name__)

xray_recorder.configure(service='fallback_name', dynamic_naming='*mysite.com*')
XRayMiddleware(app, xray_recorder)

Working with aiohttp

Adding aiohttp middleware. Support aiohttp >= 2.3.

from aiohttp import web

from aws_xray_sdk.ext.aiohttp.middleware import middleware
from aws_xray_sdk.core import xray_recorder
from aws_xray_sdk.core.async_context import AsyncContext

xray_recorder.configure(service='fallback_name', context=AsyncContext())

app = web.Application(middlewares=[middleware])
app.router.add_get("/", handler)

web.run_app(app)

Tracing aiohttp client. Support aiohttp >=3.

from aws_xray_sdk.ext.aiohttp.client import aws_xray_trace_config

async def foo():
    trace_config = aws_xray_trace_config()
    async with ClientSession(loop=loop, trace_configs=[trace_config]) as session:
        async with session.get(url) as resp
            await resp.read()

Use SQLAlchemy ORM

The SQLAlchemy integration requires you to override the Session and Query Classes for SQL Alchemy

SQLAlchemy integration uses subsegments so you need to have a segment started before you make a query.

from aws_xray_sdk.core import xray_recorder
from aws_xray_sdk.ext.sqlalchemy.query import XRaySessionMaker

xray_recorder.begin_segment('SQLAlchemyTest')

Session = XRaySessionMaker(bind=engine)
session = Session()

xray_recorder.end_segment()
app = Flask(__name__)

xray_recorder.configure(service='fallback_name', dynamic_naming='*mysite.com*')
XRayMiddleware(app, xray_recorder)

Add Flask-SQLAlchemy

from aws_xray_sdk.core import xray_recorder
from aws_xray_sdk.ext.flask.middleware import XRayMiddleware
from aws_xray_sdk.ext.flask_sqlalchemy.query import XRayFlaskSqlAlchemy

app = Flask(__name__)
app.config["SQLALCHEMY_DATABASE_URI"] = "sqlite:///:memory:"

XRayMiddleware(app, xray_recorder)
db = XRayFlaskSqlAlchemy(app)