In the C++ code above, we still had to explicitly say when we want to have memory management to be taken care of. But what if we could make all the objects behave this way? That would be very handy, since the developers no longer have to think about cleaning up after themselves. The runtime will automatically understand that some memory is no longer used and frees it. In other words, it automatically collects the garbage. The first garbage collector was created in 1959 for Lisp and the technology has only advanced since then.
The idea that we have demonstrated with the shared pointers of C++ can be applied to all objects. Many languages such as Perl, Python or PHP take this approach. This is best illustrated with a picture:
The green clouds indicate that the object that they point to is still in use by the programmer. Technically, these may be things like a local variable in the currently executing method or a static variable or something else. It may vary from programming language to programming language so we will not focus on it here.
The blue circles are the live objects in memory, with the numbers inside denoting their reference counts. Finally, the grey circles are objects that are not referenced from any object that is still explicitly in use (these are directly referenced to by the green clouds). The grey objects are thus garbage and could be cleaned by the Garbage Collector.
This all looks really good, does it not? Well, it does, but the whole method has a huge drawback. It is quite easy to end up with a detached cycle of objects none of which are in scope yet due to cyclic references the count of their reference is not zero. Here’s an illustration:
See? The red objects are in fact garbage that the application does not use. But due to the limitations of reference counting there is still a memory leak.
There are some ways to overcome this, such as using special ‘weak’ references or applying a separate algorithm for collecting cycles. The aforementioned languages – Perl, Python and PHP – all handle cycles in one way or another, but this is outside the scope of this handbook. Instead, we will start investigating the approach taken by the JVM in more details.
Mark and Sweep
First of all, the JVM is more specific about what constitutes reachability of an object. Instead of the vaguely defined green clouds that we saw on earlier chapters, we have a very specific and explicit set of objects that are called the Garbage Collection Roots:
- Local variables
- Active threads
- Static fields
- JNI references
The method used by JVM to track down all the reachable (live) objects and to make sure the memory claimed by non-reachable objects can be reused is called the Mark and Sweep algorithm. It consists of two steps:
- Marking is walking through all reachable objects, starting from GC roots and keeping a ledger in native memory about all such objects
- Sweeping is making sure the memory addresses occupied by non-reachable objects can be reused by the next allocations.
Different GC algorithms within the JVM, such as Parallel Scavenge, Parallel Mark+Copy or CMS, are implementing those phases slightly differently, but at the conceptual level the process remains similar to the two steps described above.
A crucially important thing about this approach is that the cycles are no longer leaked:
The not-so-good thing is that the application threads need to be stopped for the collection to happen, as you cannot really count references if they keep changing all the time. Such a situation when the application is temporarily stopped so that the JVM can indulge in housekeeping activities is called a Stop The World pause. They may happen for many reasons, but garbage collection is by far the most popular one.