docs, examples: show how to enable gRPC instrumentation

docs/opentelemetry-tracing.rst

@@ -55,12 +55,28 @@ Alternatively you can pass in a tracer provider into the Cloud Spanner initializ
     instance = spanner_client.instance(instance_id)
     database = instance.database(database_id)
 
-please not that the tracer being used is retrieved by invoking:
+please note that the tracer being used is retrieved by invoking:
 
 .. code:: python
 
    tracer = tracerProvider.get_tracer('cloud.google.com/python/spanner', SPANNER_LIB_VERSION)
 
+
+To get more fine-grained traces from gRPC, you can enable the gRPC instrumentation by the following
+
+.. code-block:: sh
+
+    pip install opentelemetry-instrumentation-grpc
+
+and then in your Python code, please add the following lines:
+
+.. code:: python
+
+   from opentelemetry.instrumentation.grpc import GrpcInstrumentorClient
+   grpc_client_instrumentor = GrpcInstrumentorClient()
+   grpc_client_instrumentor.instrument()
+
+
 Generated spanner traces should now be available on `Cloud Trace <https://console.cloud.google.com/traces>`_.
 
 Tracing is most effective when many libraries are instrumented to provide insight over the entire lifespan of a request.

examples/trace.py

@@ -23,6 +23,10 @@
 from opentelemetry.sdk.trace.sampling import ALWAYS_ON
 from opentelemetry import trace
 
+# Enable the gRPC instrumentation if you'd like more introspection.
+from opentelemetry.instrumentation.grpc import GrpcInstrumentorClient
+grpc_client_instrumentor = GrpcInstrumentorClient()
+grpc_client_instrumentor.instrument()
 
 def main():
     # Setup common variables that'll be used between Spanner and traces.