nashorn/samples/array_mapreduce.js
author mullan
Thu, 18 Sep 2014 15:37:40 -0400
changeset 26639 a58e059dc53e
parent 26067 b32ccc3a76c9
permissions -rw-r--r--
Merge

/*
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 *
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 * modification, are permitted provided that the following conditions
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 *     notice, this list of conditions and the following disclaimer.
 *
 *   - Redistributions in binary form must reproduce the above copyright
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 *
 *   - Neither the name of Oracle nor the names of its
 *     contributors may be used to endorse or promote products derived
 *     from this software without specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
 * IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
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 * PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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 */

// Usage: jjs array_mapreduce.js

// Many Array.prototype functions such as map,
// filter, reduce, reduceRight, every, some are generic.
// These functions accept ECMAScript array as well as
// many array-like objects including java arrays.
// So, you can do map/filter/reduce with Java streams or
// you can also use Array.prototype functions as below.
// See also http://en.wikipedia.org/wiki/MapReduce

var DoubleArray = Java.type("double[]");
var StringArray = Java.type("java.lang.String[]");

var map = Array.prototype.map;
var filter = Array.prototype.filter;
var reduce = Array.prototype.reduce;

var jarr = new StringArray(5);
jarr[0] = "nashorn";
jarr[1] = "ecmascript";
jarr[2] = "javascript";
jarr[3] = "js";
jarr[4] = "scheme";

// sum of word lengths
print("Sum word length:",
    reduce.call(
        map.call(jarr, function(x) x.length),
        function(x, y) x + y)
);

// another array example involving numbers
jarr = new DoubleArray(10);
// make random array of numbers
for (var i = 0; i < jarr.length; i++)
    jarr[i] = Math.random();

var forEach = Array.prototype.forEach;
// print numbers in the array
forEach.call(jarr, function(x) print(x));

// print sum of squares of the random numbers
print("Square sum:",
    reduce.call(
        map.call(jarr, function(x) x*x),
        function(x, y) x + y)
);