The Java language may be the most widely used programming language to rely on garbage collection, but it is by no means the first. Garbage collection has been an integral part of many programming languages, including Lisp, Smalltalk, Eiffel, Haskell, ML, Scheme, and Modula-3, and has been in use since the early 1960s. In this installment of Java theory and practice, Brian Goetz describes the most common techniques for garbage collection. Over the next several months, he'll look at the garbage collection strategies employed by the 1.4 JVM, some performance implications of various garbage collection strategies, and how (as well as how not) to assist the garbage collector to yield better performance.
The benefits of garbage collection are indisputable -- increased reliability, decoupling of memory management from class interface design, and less developer time spent chasing memory management errors. The well-known problems of dangling pointers and memory leaks simply do not occur in Java programs. (Java programs can exhibit a form of memory leak, more accurately called unintentional object retention, but this is a different problem.) However, garbage collection is not without its costs -- among them performance impact, pauses, configuration complexity, and nondeterministic finalization.
An ideal garbage collection implementation would be totally invisible -- there would be no garbage collection pauses, no CPU time would be lost to garbage collection, the garbage collector wouldn't interact negatively with virtual memory or the cache, and the heap wouldn't need to be any larger than the residency (heap occupancy) of the application. Of course, there are no perfect garbage collectors, but garbage collectors have improved significantly over the past ten years.
The 1.3 JDK includes three different garbage collection strategies; the 1.4.1 JDK includes six, and over a dozen command-line options for configuring and tuning garbage collection. How do they differ? Why do we need so many?
The various garbage collection implementations use different strategies for identification and reclamation of unreachable objects, and they interact differently with the user program and scheduler. Different sorts of applications will have different requirements for garbage collection -- real-time applications will demand short and bounded-duration collection pauses, whereas enterprise applications may tolerate longer or less predictable pauses in favor of higher throughput.
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