Byteman is a byte code manipulation tool for fault injection, testing and tracing. The Byteman agent allows to inject the rules into the existing java application with out changing the source code. You can inject the rules during the JVM startup time or into running application with out build and redeploy. We can inject the rules for custom java classes, private methods and the JRE libraries as well. Below are the Byteman use cases.
- Add logging statements for the legacy application
- Inject fault scenarios to the application via Junit or TestNG unit test cases
Now, we will see simple java application for which we will add debug statements via Byteman.
Let us write a simple Java application.
package org.smarttechie;
/**
* Class will demonstrate the Byteman
* @author Siva
*
*/
public class BytemanDemonstration {
public static void main(String[] args) {
System.out.println("With this class we are demonstrating the byteman");
}
}
Download the latest Byteman distribution.
Write Byteman script to inject the debug statements for the above class.
RULE trace main entry
CLASS BytemanDemonstration
METHOD main
AT ENTRY
IF true
DO traceln("entering into main method")
ENDRULE
RULE trace main exit
CLASS BytemanDemonstration
METHOD main
AT EXIT
IF true
DO traceln("exiting the main method")
ENDRULE
Launch the JVM by passing the Byteman agent and the script file path.
java -javaagent:${Byteman_Home}\lib\byteman.jar=script:${SCRIPT_FILE_PATH}\logrules.btm <class_name>
After launching the JVM, you will able to see the log messages coming from the script file.
entering into main method With this class we are demonstrating the byteman exiting the main method
For further exploration, follow the below links.
https://developer.jboss.org/wiki/ABytemanTutorial#top
https://developer.jboss.org/wiki/BMUnitUsingBytemanWithJUnitOrTestNGFromMavenAndAnt#top
Siva Janapati is an Architect with experience in building Cloud Native Microservices architectures, Reactive Systems, Large scale distributed systems, and Serverless Systems. Siva has hands-on in architecture, design, and implementation of scalable systems using Cloud, Java, Go lang, Apache Kafka, Apache Solr, Spring, Spring Boot, Lightbend reactive tech stack, APIGEE edge & on-premise and other open-source, proprietary technologies. Expertise working with and building RESTful, GraphQL APIs. He has successfully delivered multiple applications in retail, telco, and financial services domains. He manages the GitHub(https://github.com/2013techsmarts) where he put the source code of his work related to his blog posts.
Smart Techie 
Leave a comment