Debugging Camel K Integrations
Sometimes an Integration can fail or behave unexpectedly for unknown reasons, and a developer needs to investigate the cause of such behavior. Attaching a Java debugger to an integration is a common way to start the investigation.
Even if the Integration Pods run on a Kubernetes cluster, it’s very easy to attach a Java debugger to the remote Integration container using the CLI.
Debugging with VS Code
If you’re a VS Code user, you can watch this video.
Debugging with IntelliJ IDEA
Suppose you’ve started an Integration using the following command:
$ kamel run examples/Sample.java
An Integration named
sample should be running in the cluster. You can use the
kamel debug command to put it in debug mode:
$ kamel debug sample
A possible output that you may find is the following:
$ kamel debug sample Enabling debug mode on integration "sample"...  Monitoring pod sample-8455c8b985-5cxvc  exec java -agentlib:jdwp=transport=dt_socket,server=y,suspend=y,address=*:5005 -cp ./resources:[..omitted..] io.quarkus.runner.GeneratedMain  Listening for transport dt_socket at address: 5005 Forwarding from 127.0.0.1:5005 -> 5005 Forwarding from [::1]:5005 -> 5005
As you can see in the logs, the CLI has configured the integration in debug mode (see option
-agentlib:jdwp=transport=dt_socket,server=y,suspend=y,address=*:5005) and started forwarding the local port 5005 on the workstation machine (local port can be changed using the
--port option) to the container port 5005, where the JVM is waiting for a debugger.
The JVM is suspended and waits for a debugger to attach by default: this behavior can be turned off using the
Last thing to do is, to start a remote debugger on
localhost:5005 with the integration file (if using Java, Groovy or Kotlin), the Apache Camel project, or the Camel K Runtime project, opened on your IDE.
The following picture shows the configuration of a remote debugger in IntelliJ IDEA:
Once you configure a debugger, you can add breakpoints to various part of the code, then connect the debugger to trigger the JVM startup.
When the debugging session is done, hitting kbd:[Ctrl+c] on the terminal where the kamel CLI is running will restore the integration to its original status.
As we’ve seen in the previous section, all
Integration created in Camel K are finally bundled as a Java application, hence, the possibility to debug via JVM debugger. Any
Kamelet you will be using directly in your
Route definition or in a
KameletBinding is automatically converted in a
yaml route and injected in the Camel Context to be executed. That means that you cannot directly debug a
Kamelet as you would do with a Java or any other JVM language
However, you can troubleshoot individually each
Kamelet definition by focusing on the specification
Flow. As an example, you can create a simple
Route substituting the
kamelet:sink with any mock endpoint that can help you in debugging the single
Kamelet flow. Even using a
timer and a
log component may be enough for a basic check.
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