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# Overview | ||
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This example shows how to use the [`opentelemetry-ext-opentracing-shim` | ||
package](https://github.com/open-telemetry/opentelemetry-python/tree/master/ext/opentelemetry-ext-opentracing-shim) | ||
to interact with libraries instrumented with | ||
[`opentracing-python`](https://github.com/opentracing/opentracing-python). | ||
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The included `rediscache` library creates spans via the OpenTelemetry Redis | ||
integration, | ||
[`redis_opentracing`](https://github.com/opentracing-contrib/python-redis). | ||
Spans are exported via the Jaeger exporter, which is attached to the | ||
OpenTelemetry tracer. | ||
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## Installation | ||
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### Jaeger | ||
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Install and run | ||
[Jaeger](https://www.jaegertracing.io/docs/latest/getting-started/#all-in-one). | ||
See the [basic tracer | ||
example](https://github.com/open-telemetry/opentelemetry-python/tree/master/examples/basic-tracer) | ||
for more detail. | ||
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### Redis | ||
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Install Redis following the [instructions](https://redis.io/topics/quickstart). | ||
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### Python Dependencies | ||
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Install the Python dependencies in [`requirements.txt`](requirements.txt): | ||
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```sh | ||
$ pip install -r requirements.txt | ||
``` | ||
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Alternatively, you can install the Python dependencies separately: | ||
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```sh | ||
$ pip install \ | ||
opentelemetry-api \ | ||
opentelemetry-opentracing-shim \ | ||
redis \ | ||
redis_opentracing | ||
``` | ||
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## Run the Application | ||
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The example script calculates a few Fibonacci numbers and stores the results in | ||
Redis. The script, the `rediscache` library, and the OpenTracing Redis | ||
integration all contribute spans to the trace. | ||
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To run the script: | ||
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```sh | ||
$ python main.py | ||
``` | ||
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After running, you can view the generated trace in the Jaeger UI. | ||
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#### Jaeger UI | ||
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Open the Jaeger UI in your browser at | ||
[http://localhost:16686](http://localhost:16686) and view traces for the | ||
"OpenTracing Shim Example" service. | ||
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Each `main.py` run should generate a trace, and each trace should include | ||
multiple spans that represent calls to Redis. | ||
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<p align="center"><img src="images/jaeger-trace-full.png?raw=true"/></p> | ||
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Note that tags and logs (OpenTracing) and attributes and events (OpenTelemetry) | ||
from both tracing systems appear in the exported trace. | ||
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<p align="center"><img src="./images/jaeger-span-expanded.png?raw=true"/></p> | ||
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## Useful links | ||
- For more information on OpenTelemetry, visit: <https://opentelemetry.io/> | ||
- For more information on tracing in Python, visit: <https://github.com/open-telemetry/opentelemetry-python> | ||
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## LICENSE | ||
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Apache License 2.0 |
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#!/usr/bin/env python | ||
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from opentelemetry import trace as trace_api | ||
from opentelemetry.ext import opentracing_shim | ||
from opentelemetry.ext.jaeger import JaegerSpanExporter | ||
from opentelemetry.sdk.trace import Tracer | ||
from opentelemetry.sdk.trace.export import BatchExportSpanProcessor | ||
from rediscache import RedisCache | ||
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# Configure the tracer using the default implementation | ||
trace_api.set_preferred_tracer_implementation(lambda T: Tracer()) | ||
tracer = trace_api.tracer() | ||
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# Configure the tracer to export traces to Jaeger | ||
jaeger_exporter = JaegerSpanExporter( | ||
service_name="OpenTracing Shim Example", | ||
agent_host_name="localhost", | ||
agent_port=6831, | ||
) | ||
span_processor = BatchExportSpanProcessor(jaeger_exporter) | ||
tracer.add_span_processor(span_processor) | ||
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# Create an OpenTracing shim. This implements the OpenTracing tracer API, but | ||
# forwards calls to the underlying OpenTelemetry tracer. | ||
opentracing_tracer = opentracing_shim.create_tracer(tracer) | ||
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# Our example caching library expects an OpenTracing-compliant tracer. | ||
redis_cache = RedisCache(opentracing_tracer) | ||
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@redis_cache | ||
def fib(n): | ||
"""Get the Nth Fibonacci number, cache intermediate results in Redis.""" | ||
if n < 0: | ||
raise ValueError | ||
if n == 0 or n == 1: | ||
return 1 | ||
return fib(n - 1) + fib(n - 2) | ||
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with tracer.start_as_current_span("Fibonacci") as span: | ||
span.set_attribute("is_example", "yes :)") | ||
fib(4) | ||
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# Export the remaining span before exiting | ||
span_processor.shutdown() |
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""" | ||
This is an example of a library written to work with opentracing-python. It | ||
provides a simple caching decorator backed by Redis, and uses the OpenTracing | ||
Redis integartion to automatically generate spans for each call to Redis. | ||
""" | ||
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import json | ||
import pickle | ||
from functools import wraps | ||
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import redis | ||
import redis_opentracing | ||
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class RedisCache: | ||
"""Redis-backed caching decorator, using OpenTracing! | ||
Args: | ||
tracer: an opentracing.tracer.Tracer | ||
""" | ||
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def __init__(self, tracer): | ||
redis_opentracing.init_tracing(tracer) | ||
self.tracer = tracer | ||
self.client = redis.StrictRedis() | ||
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def __call__(self, func): | ||
@wraps(func) | ||
def inner(*args, **kwargs): | ||
with self.tracer.start_active_span("Caching decorator") as scope1: | ||
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# Pickle the call args to get a canonical key. Don't do this in | ||
# prod! | ||
key = pickle.dumps((func.__qualname__, args, kwargs)) | ||
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pval = self.client.get(key) | ||
if pval is not None: | ||
val = pickle.loads(pval) | ||
scope1.span.log_kv( | ||
{"msg": "Found cached value", "val": val} | ||
) | ||
return val | ||
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scope1.span.log_kv({"msg": "Cache miss, calling function"}) | ||
with self.tracer.start_active_span( | ||
'Call "{}"'.format(func.__name__) | ||
) as scope2: | ||
scope2.span.set_tag("func", func.__name__) | ||
scope2.span.set_tag("args", str(args)) | ||
scope2.span.set_tag("kwargs", str(kwargs)) | ||
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val = func(*args, **kwargs) | ||
scope2.span.set_tag("val", str(val)) | ||
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# Let keys expire after 10 seconds | ||
self.client.setex(key, 10, pickle.dumps(val)) | ||
return val | ||
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return inner |
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opentelemetry-api | ||
opentelemetry-opentracing-shim | ||
redis | ||
redis_opentracing |