You can enable Cloud Trace for Java applications
by using OpenCensus. OpenCensus is
a set of instrumentation libraries for collecting trace and metric data that
work with multiple backends. For the latest details about OpenCensus
for Java, along with additional documentation and examples, go to
census-instrumentation/opencensus-java
.
Installing the library
To collect traces, add OpenCensus tracing and the Stackdriver exporter to your application's Maven or Gradle file:
Maven
Gradle
compile 'io.opencensus:opencensus-api:0.28.3' compile 'io.opencensus:opencensus-exporter-trace-stackdriver:0.28.3' runtime 'io.opencensus:opencensus-impl:0.28.3'
Configuring the Stackdriver exporter
To export the collected Trace data, use a
StackdriverTraceExporter
object:
If you are running on Google Cloud infrastructure, then
you don't need to call setProjectID
and supply your Google Cloud
project ID. If you don't set this field, the client library for Java
automatically gathers this data from a Google Cloud metadata server.
If you aren't running on Google Cloud infrastructure, then you must supply your Google Cloud project ID to your application.
When you don't explicitly set the Google Cloud project ID,
the google-cloud
Java library
automatically determines whether the environment variable
GOOGLE_CLOUD_PROJECT
is set. If this variable is set, the
library uses the value of GOOGLE_CLOUD_PROJECT
as your Google Cloud
project ID.
For more information, go to
google-cloud-library
specifying a project id.
To set the environment variable, do the following:
Linux or macOS
export GOOGLE_CLOUD_PROJECT=your-project-id
Windows
set GOOGLE_CLOUD_PROJECT=your-project-id
PowerShell:
$env:GOOGLE_CLOUD_PROJECT="your-project-id"
Add a custom Trace span
While the OpenCensus library contains automatic integrations for several popular web frameworks and RPC frameworks, you can also create custom traces:
Configuring integration with Cloud Logging
For information on how to send Cloud Trace data to Cloud Logging, see Integrating with Cloud Logging.
Enabling full sampling
By default, out of 10,000 traces, only 1 trace is sampled.
In a developer environment, this sampling rate might be too slow to show you
trace data. To sample all traces, you can use the alwaysSample
option.
To enable full sampling, use the setSampler
method and specify the
alwaysSample
option:
Overriding automatic authentication
You can override the automatic authentication and project selection. For example, the following sample illustrates how to create an exporter whose credentials expire 60 seconds from creation time:
Configure your platform
You can use Cloud Trace on Google Cloud and other platforms.
Running on Google Cloud
When your application is running on Google Cloud, you don't need to provide authentication credentials in the form of a service account to the client library. However, you do need to ensure that your Google Cloud platform has the Cloud Trace API access scope enabled.
For a list of supported Google Cloud environments, see Environment support.
For the following configurations, the default access-scope settings enable the Cloud Trace API:
- App Engine flexible environment
App Engine standard environment
Google Kubernetes Engine (GKE)
Compute Engine
Cloud Run
If you use custom access scopes, then you must ensure that Cloud Trace API access scope is enabled:
For information about how to configure the access scopes for your environment by using the Google Cloud console, see Configuring your Google Cloud project.
For
gcloud
users, specify access scopes using the--scopes
flag and include thetrace.append
Cloud Trace API access scope. For example, to create a GKE cluster with only the Cloud Trace API enabled, do the following:gcloud container clusters create example-cluster-name --scopes=https://www.googleapis.com/auth/trace.append
Running locally and elsewhere
If your application is running outside of Google Cloud, then you must provide authentication credentials in the form of a service account to the client library. The service account must contain the Cloud Trace agent role. For instructions, see Creating a service account.
Google Cloud client libraries use Application Default Credentials (ADC) to find your application's credentials.
You can provide these credentials in one of three ways:
Run
gcloud auth application-default login
Place the service account in a default path for your operating system. The following lists the default paths for Windows and Linux:
Windows:
%APPDATA%/gcloud/application_default_credentials.json
Linux:
$HOME/.config/gcloud/application_default_credentials.json
Set the
GOOGLE_APPLICATION_CREDENTIALS
environment variable to the path to your service account:
Linux/macOS
export GOOGLE_APPLICATION_CREDENTIALS=path-to-your-service-accounts-private-key
Windows
set GOOGLE_APPLICATION_CREDENTIALS=path-to-your-service-accounts-private-key
PowerShell:
$env:GOOGLE_APPLICATION_CREDENTIALS="path-to-your-service-accounts-private-key"
Viewing the traces
After deployment, you can view the traces in the Google Cloud console Trace Viewer.
Troubleshooting
For information on troubleshooting issues with Cloud Trace, go to the Troubleshooting page.
Resources
- OpenCensus
- GitHub:
census-instrumentation/opencensus-java
- API Reference Documentation
- Source code
- GitHub issue tracker
- Stack Overflow