You might be seeking for the option to profile (capturing method's execution time) your spring application. Spring provides different ways to profile the application. Profiling should be treated as a separate concern and spring AOP facilitates easy approach to separate this concern. With the help of spring AOP you can profile your methods without making any changes in actual classes.
You just need to perform pretty simple steps to configure your application for profiling using spring AOP:
- In application context file, add below tag to enable the load time weaving
<context:load-time-weaver />
With this configuration, AspectJ's Load-time weaver is registered with current class loader. All classes
(which are matched with the pattern in below aspect class) are weaved at load time as per defined
aspect class file.
- Create the aspect class for profiling
d This aspect is written to capture method's execution time. You can configure your required
classes (which need to be profiled) with @Around advice.
package com.xxx.profiling.aspect;
import org.apache.log4j.Logger;
import org.aspectj.lang.JoinPoint;
import org.aspectj.lang.ProceedingJoinPoint;
import org.aspectj.lang.annotation.Around;
import org.aspectj.lang.annotation.Aspect;
import org.aspectj.lang.annotation.Before;
import org.springframework.stereotype.Component;
/**
* Aspect class to profile the configured methods
*/
@Component
@Aspect
public class ProfilingAspect {
/** Logger instance. */
private static final Logger LOGGER = Logger.getLogger(ProfilingAspect.class);
public LoggingAspect(){
LOGGER.info("Initializing Profiling Aspect... ");
}
public void profileMethods(ProceedingJoinPoint thisJoinPoint) throws Throwable {
StringBuffer logMessage = new StringBuffer();
logMessage.append(thisJoinPoint.getSignature().getName());
logMessage.append("(");
// Collect arguments value
Object[] args = thisJoinPoint.getArgs();
for (int i = 0; i < args.length; i++) {
logMessage.append(args[i]).append(",");
}
if (args.length > 0) {
logMessage.deleteCharAt(logMessage.length() - 1);
}
logMessage.append(") ");
// Calculate method's elapsed time
logMessage.append(" [Elapsed Time: " );
long start = System.currentTimeMillis();
thisJoinPoint.proceed();
long end = System.currentTimeMillis();
logMessage.append(end - start);
logMessage.append(" ms]");
LOGGER.debug("Profiling : "+thisJoinPoint.getTarget().getClass().getName() +"."+logMessage.toString());
}
// All public methods which are in services package will be weaved for profiling
@Around("execution(public * com.xxx.services..*.*(..))")
public void profileServiceMethods(ProceedingJoinPoint thisJoinPoint) throws Throwable {
profileMethods(thisJoinPoint);
}
// All public methods which are in dao package will be weaved for profiling
@Around("execution(public * com.xxx.dao..*.*(..))")
public void profileDAOMethods(ProceedingJoinPoint thisJoinPoint) throws Throwable {
profileMethods(thisJoinPoint);
}
}
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- Scan package in application context file to initialize this aspect class
<context:component-scan base-package="com.xxx.profiling.aspect" />
- Download the spring-agent.jar file from here
- Configure JAVA VM parameter by providing spring agent jar path
-javaagent:C:/yourpath/spring-agent-2.5.6.jar
You are done with required configuration and implementation. Now it's time to see your execution statistics.
Start your application server and verify whether aspect class is initialized successfully. You should get below log message in application log file. If this log message comes, that means your aspect is initialized properly.
Initializing Profiling Aspect...
Whenever your service or data access class methods are executed you must see below logs.
Profiling :com.xxx.evolution.dao.MyDAO.getUserDetail(123) [ Elapsed Time : 246 ms ]
Profiling :com.xxx.evolution.services.MyService.getUserDetail(123) [ Elapsed Time : 247 ms ]
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Apart from this approach you can also go for other options for profiling:
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