时间:2021-07-01 10:21:17 帮助过:19人阅读
虽然Hadoop是用java写的,但是Hadoop提供了Hadoop流,Hadoop流提供一个API,,允许用户使用任何语言编写map函数和reduce函数。 (推荐学习:PHP视频教程)
Hadoop流动关键是,它使用UNIX标准流作为程序与Hadoop之间的接口。因此,任何程序只要可以从标准输入流中读取数据,并且可以把数据写入标准输出流中,那么就可以通过Hadoop流使用任何语言编写MapReduce程序的map函数和reduce函数。
例如:
bin/hadoop jar contrib/streaming/hadoop-streaming-0.20.203.0.jar -mapper /usr/local/hadoop/mapper.php -reducer /usr/local/hadoop/reducer.php -input test/* -output out4
Hadoop流引入的包:hadoop-streaming-0.20.203.0.jar,Hadoop根目录下是没有hadoop-streaming.jar的,因为streaming是一个contrib,所以要去contrib下面找,以hadoop-0.20.2为例,它在这里:
-input:指明输入hdfs文件的路径
-output:指明输出hdfs文件的路径
-mapper:指明map函数
-reducer:指明reduce函数
mapper函数
mapper.php文件,写入如下代码:
#!/usr/local/php/bin/php <?php $word2count = array(); // input comes from STDIN (standard input) // You can this code :$stdin = fopen(“php://stdin”, “r”); while (($line = fgets(STDIN)) !== false) { // remove leading and trailing whitespace and lowercase $line = strtolower(trim($line)); // split the line into words while removing any empty string $words = preg_split('/\W/', $line, 0, PREG_SPLIT_NO_EMPTY); // increase counters foreach ($words as $word) { $word2count[$word] += 1; } } // write the results to STDOUT (standard output) // what we output here will be the input for the // Reduce step, i.e. the input for reducer.py foreach ($word2count as $word => $count) { // tab-delimited echo $word, chr(9), $count, PHP_EOL; } ?>
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