Re: java IO performance vs. perl or grep EJP Sep 12, 2007 12:17 AM ( in response to 843790 ) I think the synchronization is the exact reason you get a better performance when you read larger buffers vs. lines. For example it is probably a bit easier to use XML and some of its transforms in Java (not a lot easier but somewhat.) Re: Perl vs Java I'm a big fan of Perl-- but a bigger fan of using the right Tool for the job. Should we care? Bit of a random one coming up… I needed to get an measure of the difference in performance between Perl and Java for a simple client application, so I wrote the traditional ‘Hello World’ app in both and ran a bunch of executions averaging over the time from start to end of execution. In Java this is done with the command javac Loop.java assuming the previous Java class definition is saved in a file called Loop.java 3. The Computer Language Benchmarks Game Which programming language is fastest? Python is one of the most popular programming languages. By instrumenting the … runtime, we measure the JavaScript behavior of … web applications…Our results show that real web applications behave very differently from the benchmarks… Starting with Java 1.2, the JVMs changed to a generational collector, which has a much better defragmentation behaviour. Modern JVMs use a variety of methods that have further improved garbage collection performance.. Other optimizing methods But when you time the program by using timers built into the language, it removes some of the overhead from the timing comparisons, and Java becomes the clear winner. That is why, it is important for programmers to compare Python with JAVA, RUBY, PHP, TCL and Perl to pick the right language for their projects. Job Tractor, Feburary 2013 – January 2014. 2. The Perl … 1. Java smokes Perl. It's important to be realistic: most people don't care about program performance most of the time. Perl provides access to all of the UNIX built-in commands plus offers a more powerful programming language (A Perl function, 1998). The step-through in this post demonstrates the (unoptimized) algorithm that Java, Ruby, Perl, Python, and PHP use, which is the recursive backtracking algorithm. Initially I was using the Unix time utility to time these two, and it seemed to be close for smaller problem sizes (N=9 or smaller) - Perl would start up and run faster than Java, measured end-to-end. Awk and grep use the Thompson NFA algorithm which is in fact significantly faster in almost every way but supports a more limited set of features. Perl far exceeds Java in its ability to munge data (basically take data in one format and produce another.) Currently, each of the following six languages are being used by programmers for developing both desktop and web applications. Create a simple test which times a loop. Java however is probably better in certain limited areas with this however. O’Reilly Technical Book Sales, 2003-2005. The 1.0 and 1.1 Java virtual machines (JVMs) used a mark-sweep collector, which could fragment the heap after a garbage collection. Job design has a much bigger impact on performance than your choice of language-- so for me, the choice really centers around the environment that the jobs will run in and the expertise of the programmers that are building them. Clearly this is an important characteristic - size matters! Java was the first language to include inline sound and animation in a web page, and is used to allow user-interaction from a web page (Harold, 2004). Run the test. Compile this class. The Perl program currently takes on the order of 36 hours to run. Python 1/6 size Perl market -> Python 2/3 size Perl market. JAVA . How could we know? Some language's performance degrade faster than others so in beginning of this test Java somewhat 20 times slower than Perl5 and in the end Java is about 40 times slower (for same amount of data). 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