GitHub user dosubot[bot] added a comment to the discussion: Seeking feedback on 
tinkerpop gremlin explain and profile from db providers

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Hey @andreachild! 👋 I'm here to help you with any questions, bugs, or 
contributions while we wait for a human maintainer.

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Hello @andreachild,

Here are some insights from the HugeGraph community regarding your questions on 
Tinkerpop Gremlin's Explain and Profile functionalities:

1. **Default Explain and Profile Output Sufficiency**:
   - The default Explain and Profile outputs provided by Tinkerpop are 
generally useful, but there are scenarios where more customization is needed to 
meet specific requirements.

2. **Difficulty in Customizing Explain or Profile Implementations**:
   - Customizing the Explain and Profile outputs can be challenging. HugeGraph 
has implemented its own mechanisms to handle these functionalities, which 
indicates that the default implementations may not be flexible enough for all 
use cases.

3. **Example of Customized Explain or Profile Output**:
   - HugeGraph uses the `PerfUtil` class to implement Explain and Profile 
functionalities. This class provides methods to start and end performance 
monitoring, profile packages and classes, and generate performance data in JSON 
and ECharts formats. Here is a snippet from the `PerfUtil` class:

   ```java
   public Stopwatch start(String name) {
       long start = now();
       Stopwatch parent = this.callStack.empty() ? this.root : 
this.callStack.peek();
       Stopwatch watch = parent.child(name);
       if (watch == null) {
           watch = newStopwatch(name, parent);
           this.stopwatches.put(watch.id(), watch);
       }
       this.callStack.push(watch);
       watch.startTime(start);
       return watch;
   }

   public void end(String name) {
       long start = LIGHT_WATCH ? 0L : now();
       Stopwatch watch = this.callStack.pop();
       if (watch == null || watch.name() != name) {
           throw new IllegalArgumentException("Invalid watch name: " + name);
       }
       watch.endTime(start);
   }

   public void profilePackage(String... packages) throws Throwable {
       Set<String> loadedClasses = new HashSet<>();
       Function<String, Boolean> inPackage = (cls) -> {
           for (String pkg : packages) {
               if (cls.startsWith(pkg)) {
                   return true;
               }
           }
           return false;
       };
       ThrowableConsumer<String> profileClassIfPresent = (cls) -> {
           if (!loadedClasses.contains(cls)) {
               for (String s : ReflectionUtil.superClasses(cls)) {
                   if (!loadedClasses.contains(s) && inPackage.apply(s)) {
                       profileClass(s);
                       loadedClasses.add(s);
                   }
               }
               profileClass(cls);
               loadedClasses.add(cls);
           }
       };
       Iterator<ClassInfo> classes = ReflectionUtil.classes(packages);
       while (classes.hasNext()) {
           String cls = classes.next().getName();
           profileClassIfPresent.accept(cls);
           for (String s : ReflectionUtil.nestedClasses(cls)) {
               profileClassIfPresent.accept(s);
           }
       }
   }

   public void profileClass(String... classes) throws Throwable {
       ClassPool classPool = ClassPool.getDefault();
       for (String cls : classes) {
           CtClass ctClass = classPool.get(cls);
           List<CtMethod> methods = 
ReflectionUtil.getMethodsAnnotatedWith(ctClass, Watched.class, false);
           for (CtMethod method : methods) {
               profile(method);
           }
           if (!methods.isEmpty()) {
               ctClass.toClass();
           }
       }
   }

   private void profile(CtMethod ctMethod) throws CannotCompileException, 
ClassNotFoundException {
       final String START = 
"org.apache.hugegraph.perf.PerfUtil.instance().start(\"%s\");";
       final String END = 
"org.apache.hugegraph.perf.PerfUtil.instance().end(\"%s\");";
       Watched annotation = (Watched) ctMethod.getAnnotation(Watched.class);
       String name = annotation.value();
       if (name.isEmpty()) {
           name = ctMethod.getName();
       }
       if (!annotation.prefix().isEmpty()) {
           name = annotation.prefix() + "." + name;
       }
       ctMethod.insertBefore(String.format(START, name));
       ctMethod.insertAfter(String.format(END, name), true);
       LOG.debug("Profiled for: '{}' [{}]", name, ctMethod.getLongName());
   }
   ```

   This implementation allows for detailed performance monitoring and 
profiling, which can be customized as needed 
<sup>[[1]](https://github.com/apache/incubator-hugegraph/blob/master/hugegraph-commons/hugegraph-common/src/main/java/org/apache/hugegraph/perf/PerfUtil.java)</sup>.

Your proposed changes to TraversalExplanation and Metrics sound promising and 
could indeed provide more flexibility for graph database providers. Allowing 
providers to group applied TraversalStrategies and specify custom metric 
aggregation logic would likely be beneficial.

Hope this helps!


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GitHub link: 
https://github.com/apache/incubator-hugegraph/discussions/2670#discussioncomment-10754211

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