Programming Tools: Java Scripting Languages

What's new with Jython and a look at the latest Java scripting language, Groovy.

I recently returned from JavaOne 2005 in San Francisco. The show was impressive for a number of reasons. The attendance seemed to be about 30% larger than last year's. The same could be said for the number of tutorials, sessions and BOFs. For example, there were enough BOFs to run until 11:00pm at night. Many of the sessions were filled to capacity, with over 600 attendees each technical presentation.

Given my strong background in C++, I am used to a more amorphous attitude toward languages. Therefore, I was surprised to see that there still is a vibrancy to Java that I do not see with C++.

Among the many interesting things that I saw, two stand out: Eclipse and the scripting language called Groovy. I already have written about Eclipse, so here I simply note that Eclipse now seems to dominate the Java IDE world. Groovy, on the other hand, is new. It prompted me to look at Python-like scripting languages that run in a Java environment.

In this article, I discuss Jython and Groovy, two scripting languages that use the Java runtime environment. By the way, JavaScript has nothing to do with the Java language, so it is not considered here.

Jython

Jython is an interpreter for the Python language. It is written in Java to run under the Java VM. To handle Python built-in entities, Jython produces Java compatible structures that it passes back and forth to the JVM. The code below uses the Jython interactive shell, in which Jython takes the Python built-in list structure and converts it to a Java list structure that is then passed to the Java println function that then passes the result to the JVM.


>>> print ['a','list','of','strings']
['a', 'list', 'of', 'strings']
>>>

Here is a simple program that uses the Java Swing library to produce a trivial GUI application:


"""\
A simple demonstration of creating a swing tree widget from a
Python dictionary.
"""

import java
import javax
from pawt import swing
from pawt import awt

sampleData = {
  'PyObject': {
        'PyInteger':None,
        'PyFloat':None,
        'PyComplex':None,
        'PySequence': {
          'PyArray':None,
          'PyList':None,
          'PyTuple':None,
          'PyString':None,
        },
        'PyClass': {
          'PyJavaClass':None,
        },
  },
  'sys':None,
  'Py':None,
  'PyException':None,
  '__builtin__':None,
  'ThreadState':None,
}

Node = swing.tree.DefaultMutableTreeNode

def addNode(tree, key, value):
  node = Node(key)
  tree.add(node)
  if value is not None:
    addLeaves(node, value.items())

def addLeaves(node, items):
  items.sort()
  for key, value in items:
    addNode(node, key, value)

def makeTree(name, data):
  tree = Node("Sample Tree")
  addLeaves(tree, data.items())
  return swing.JTree(tree)

def exit(e): 
  java.lang.System.exit(0)

if __name__ == '__main__':
  tree = makeTree('Some JPython Classes', sampleData)
  button = swing.JButton('Close Me!', actionPerformed=exit)
  f = swing.JFrame("GridBag Layout Example");
  p = swing.JFrame.getContentPane(f)
  gb = awt.GridBagLayout()
  p.setLayout(gb)
  
  c = awt.GridBagConstraints();
  c.weightx = 1.0;
  c.fill = awt.GridBagConstraints.BOTH;
  
  gb.setConstraints(tree, c);
  c.gridx = 0;
  c.gridy = awt.GridBagConstraints.RELATIVE;
  gb.setConstraints(button, c);

  p.add(tree)
  p.add(button)
  f.pack();
  f.setSize(f.getPreferredSize());
  f.show();

Jython has two main advantages. First, the language is Python and has all of its strengths, including clean and consistent syntax, introspection, dynamic creation of classes, properties and attributes. Second, it runs at the speed of the JVM. On the other hand, Jython also has two chief weakness. First is its need to convert constantly between Python and Java structures. Second, Jython has not received much work in recent years. That is about to change, however; the current maintainer, Brian Zimmer, recently received three grants to continue work on Jython.

The bottom line is if you know Python, then you know Jython. The big gain is ready access to libraries such as Swing, awt and so on.

Groovy

Groovy is a new language based on features from Ruby, Python and Haskell. However, its runtime environment is any JVM. The language syntax attempts to be Java-like, while making the form of the language much simpler. Groovy is a statically typed language, so it requires a compile step before producing Java byte code. Groovy does not currently have an interpreter, although it does have a shell.

Groovy documentation offers an impressive list of features:

  • Closure support

  • Native syntax for Lists and Maps

  • Groovy Markup

  • Groovy Path expression language

  • Groovlets for implementing Servlets easily in simple Groovy scripts

  • Groovy SQL for making SQL more Groovy

  • Groovy Beans for simpler syntax for working with beans

  • Groovy Template Engines which are pluggable, simple to use, integrate GPath and compile to bytecode

  • Ant scripting

  • Regex syntax for neater scripting with regular expressions

  • Operator Overloading to simplify working with datatypes Collections and Maps

  • Polymorphic iteration and autoboxing

  • Compiles straight to Java bytecode

  • Works cleanly with all existing Java objects and libraries

An interesting feature of Groovy is found its definition and use of closure:

A closure in Groovy is an anonymous chunk of code surrounded by braces that takes zero, one or more arguments, returns a value, and can reference and use variables declared in its surrounding lexical scope (i.e., the scope at its definition point). A closure is like an anonymous inner class in Java. It is often used in the same way. However, Groovy closures are more powerful and often more convenient to specify and use.

Groovy's uses Java's standard types for things such as dictionaries and lists. This means no translation is needed between Groovy code and the JVM. This may improve execution time, depending on the application.

______________________

Comments

Comment viewing options

Select your preferred way to display the comments and click "Save settings" to activate your changes.

a sign of dynamic typing is

Anonymous's picture

a sign of dynamic typing is the following (groovy code):

def foo(String s) {"String"}
def foo(Object o) {"Object"}

def obj = "obj"
assert foo(obj) == "String"

Object obj2 = "obj"
assert foo(obj2) == "String"

both, obj and obj2 have the static type java.lang.Object when viewed from Java, but for the function call the type String is used, as this is the runtime/dynamic type. So Groovy does have dynamic typing.

A compile step is not a sign of the typing mechanism.

What about BeanShell?

Paulo Marquez's picture

Sometimes I wonder whether I am the only person in the world who uses BeanShell, It's a java interpreter written in java and uses java syntax (have I written "java" too many times? ;) .)

I think there are two nice advantages when using BeanShell:
1) The programmer does not have to learn new syntax.
2) If desired, a more script-like syntax can be used.

Also BeanShell scripts can have acess to every object within the host application, can acess all of the available java classes and runs at the VM speed (it just means I like it a lot :) .)

I am not trying to make a case for BeanShell, I'm just curious to know why BeanShell has not gotten more coverage in "Java Scripting Languages" articles and learn more about the comparative advantages of using a diferent approach to java scripting.

JavaScript

Brandon Keepers's picture


By the way, JavaScript has nothing to do with the Java language, so it is not considered here.

Historically, this statement is correct, but that is about to change. Mazilla has a javascript implementation in Java called Rhino that is slated to be included in the next major release of the JVM. And we had just convinced everyone that Java and JavaScript are not the same....

NetRexx

Dennis Decker Jensen's picture

Nice Article! I couldn't help but think about NetRexx which is Rexx built for a JVM. Rexx is an old classic scripting language from mainframes, OS/2, Amiga, Unix (sic!). It would be nice to also hear about Rexx's uses in this context, i.e. JVM scripting languages!

Ciao!

Good article. About your ver

Anonymous's picture

Good article. About your very last sentence, if someone wants to actually influence development and design decisions, go with groovy. Jython isn't going to be influenced by anyone, because it is meant to be an exact clone of CPython, nothing more, nothing less (same way with IronPython for .NET).

For those comfortable with statically typed languages, scala (http://scala.epfl.ch/) and nice (http://nice.sf.net/) have some really fascinating features.

Good article; a few typos

Anonymous's picture

I enjoyed the article. I had heard of Groovy, but not seen any examples. While the examples shown here are small, they do at least provide a little bit of flavor as to what the language is like.

There are some typos, however. In the section on Closures, there is obviously some markup intermixed in the first code example. Then in the immediately following paragraph, the word "each" should have double quotes around it, but only the first one is there.

Webinar
One Click, Universal Protection: Implementing Centralized Security Policies on Linux Systems

As Linux continues to play an ever increasing role in corporate data centers and institutions, ensuring the integrity and protection of these systems must be a priority. With 60% of the world's websites and an increasing share of organization's mission-critical workloads running on Linux, failing to stop malware and other advanced threats on Linux can increasingly impact an organization's reputation and bottom line.

Learn More

Sponsored by Bit9

Webinar
Linux Backup and Recovery Webinar

Most companies incorporate backup procedures for critical data, which can be restored quickly if a loss occurs. However, fewer companies are prepared for catastrophic system failures, in which they lose all data, the entire operating system, applications, settings, patches and more, reducing their system(s) to “bare metal.” After all, before data can be restored to a system, there must be a system to restore it to.

In this one hour webinar, learn how to enhance your existing backup strategies for better disaster recovery preparedness using Storix System Backup Administrator (SBAdmin), a highly flexible bare-metal recovery solution for UNIX and Linux systems.

Learn More

Sponsored by Storix