Spark pipe + PHP wordcount implementation

php’s job is to turn each word into an RDD

<code><span><span><?php</span><span>$in</span> = fopen(<span>'php://stdin'</span>,<span>'r'</span>);
<span>while</span>(!feof(<span>$in</span>))
{
  <span>$temp</span> = explode(<span>" "</span>,fgets(<span>$in</span>));
  <span>for</span> (<span>$i</span>=<span>0</span>;<span>$i</span><count(<span>$temp</span>);<span>$i</span>++){
     printf(<span>"%s\n"</span>,<span>$temp</span>[<span>$i</span>]);  
  } 
}
<span>?></span></span></code>

<code>package test

import org<span>.apache</span><span>.spark</span><span>.SparkConf</span>
import org<span>.apache</span><span>.spark</span><span>.SparkContext</span>object PipeTest {

  def main(args: Array[String]) {
    val sparkConf = new SparkConf()<span>.setAppName</span>(<span>"pipe Test"</span>)
    val sc = new SparkContext(sparkConf)
    val a = sc<span>.textFile</span>(<span>"/home/gt/wordcount.txt"</span>, <span>3</span>)
    val result = a<span>.pipe</span>(<span>"php /home/gt/spark/bin/test.php"</span>)<span>.map</span>(<span>x</span> => (<span>x</span>, <span>1</span>))<span>.reduceByKey</span>(_ + _)
    result<span>.foreach</span> { <span>x</span> => println(<span>"!!!!! "</span> + <span>x</span>) }
    sc<span>.stop</span>()
  }

}</code>

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The above introduces the wordcount implementation of Spark pipe + PHP, including the relevant aspects. I hope it will be helpful to friends who are interested in PHP tutorials.