Performance Test: Groovy 2.0 vs. Java
Performance Test: Groovy 2.0 vs. Java
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The only performance measurement I could find on the Internet was this little benchmark measurment on jlabgroovy. The measurement only consists of calculating Fibonacci numbers with and without the @CompileStatic annotation. That's it; i.e., it's certainly not very meaningful in striving to get an overall impression. I was only interested in obtaining some rough estimate of how Groovy compares to Java as far as performance is concerned.
Java performance measurement included
We can see that the performance improvements due to static typing have made quite a difference. This little comparison does little justice, though. To me, the impression that static typing in Groovy has had in conjunction with type inference has led to significant performance improvements—and in the same way it has led to Groovy++ becoming very strong. With the @CompileStatic, the performance of Groovy is about 1-2 times slower than Java, and without Groovy, it's about 3-5 times slower. Unhappily, the measurements of "instance ternary" and "instance if" are the slowest. Unless we want to create masterpieces in programming with static functions, the measurements for "static ternary" and "static if" are not that relevant for most of the code with the ambition to be object-oriented (based on instances).
When Groovy was about 10-20 times slower than Java (see benchmark table almost at the end of this article) it is questionable whether the @CompileStatic was used or not. This means to me that Groovy is ready for applications where performance has to be somewhat comparable to Java. Earlier, Groovy (or Ruby, Closure, etc.) could only serve as a plus on your CV because of the performance impediment (at least here in Europe).
New JVM kid on the block: Kotlin
I added the figures for Kotlin as well ( here is the code). Kotlin is a relatively new statically typed JVM-based Java-compatible programming language. Kotlin is more concise than Java by supporting variable type inferences, higher-order functions (closures), extension functions, mixins and first-class delegation, etc. Contrary to Groovy, it is more geared towards Scala, but also integrates well with Java. Kotlin is still under development and has yet to be officially released. So the figures have to be taken with caution as the guys at JetBrains are still working on the code optimization. Ideally, Kotlin should be as fast as Java. The measurements were done with the current "official" release 0.1.2580.
And what about future performance improvements?
At the time when JDK1.3 was the most recent JDK, I still earned my pay with Smalltalk development. At that time the performance of VisualWorks Smalltalk (now Cincom Smalltalk) and IBM VA for Smalltalk (now owned by Instantiations) was very good comparable to Java. And Smalltalk is a dynamically typed language, like pre-Goovy 2.0 and Ruby, where the compiler cannot make use of type inference to do optimizations. Because of this, it always appeared strange to me that Groovy, Ruby and other JVM-based dynamic languages had such a big performance penalty compared to Java when Smalltalk had not. From that point of view I think there's still room for Groovy performance improvements beyond @CompileStatic.
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