參考 ：
hadoop window 搭建 后,由于對 py 的語法喜歡 ，一直想 把hadoop,改成jython 的
這次 在 自己電腦上 終于 完成,下面介紹過程:
測試環境：
依然的 windows + cygwin
hadoop 0.18 # C:/cygwin/home/lky/tools/java/hadoop-0.18.3
jython 2.2.1 # C:/jython2.2.1
參考:
PythonWordCount
啟動 hadoop 并到 hdoop_home 下
# 在云環境中創建 input 目錄
$>bin/hadoop dfs -mkdir input
# 在 包 hadoop 的 NOTICE.txt 拷貝到 input 目錄下
$>bin/hadoop dfs -copyFromLocal c:/cygwin/home/lky/tools/java/hadoop-0.18.3/NOTICE.txt hdfs:///user/lky/input
$>cd src/examples/python
# 創建 個 腳本 ( jy->jar->hd run ) 一步完成!
# 當然 在 linux 寫個腳本比這 好看 呵呵！
$>vim run.bat
"C:\Program Files\Java\jdk1.6.0_11\bin\java.exe" -classpath "C:\jython2.2.1\jython.jar;%CLASSPATH%" org.python.util.jython C:\jython2.2.1\Tools\jythonc\jythonc.py -p org.apache.hadoop.examples -d -j wc.jar -c %1
sh C:\cygwin\home\lky\tools\java\hadoop-0.18.3\bin\hadoop jar wc.jar %2 %3 %4 %5 %6 %7 %8 %9
# 修改 jythonc 打包 環境 。 +hadoop jar
$>vim C:\jython2.2.1\Tools\jythonc\jythonc.py
# Copyright (c) Corporation for National Research Initiatives
# Driver script for jythonc2. See module main.py for details
import sys,os,glob
for fn in glob.glob('c:/cygwin/home/lky/tools/java/hadoop-0.18.3/*.jar') :sys.path.append(fn)
for fn in glob.glob('c:/jython2.2.1/*.jar') :sys.path.append(fn)
for fn in glob.glob('c:/cygwin/home/lky/tools/java/hadoop-0.18.3/lib/*.jar') :sys.path.append(fn)
import main
main.main()
import os
os._exit(0)
# 運行
C:/cygwin/home/lky/tools/java/hadoop-0.18.3/src/examples/python>
run.bat WordCount.py hdfs:///user/lky/input file:///c:/cygwin/home/lky/tools/java/hadoop-0.18.3/tmp2
結果輸出：
cat c:/cygwin/home/lky/tools/java/hadoop-0.18.3/tmp2/part-00000
(http://www.apache.org/). 1
Apache 1
Foundation 1
Software 1
The 1
This 1
by 1
developed 1
includes 1
product 1
software 1
下面重頭來了 ：（簡潔的 jy hdoop 代碼）
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from org.apache.hadoop.fs import Path
from org.apache.hadoop.io import *
from org.apache.hadoop.mapred import *
import sys
import getopt
class WordCountMap(Mapper, MapReduceBase):
one = IntWritable(1)
def map(self, key, value, output, reporter):
for w in value.toString().split():
output.collect(Text(w), self.one)
class Summer(Reducer, MapReduceBase):
def reduce(self, key, values, output, reporter):
sum = 0
while values.hasNext():
sum += values.next().get()
output.collect(key, IntWritable(sum))
def printUsage(code):
print "wordcount [-m <maps>] [-r <reduces>] <input> <output>"
sys.exit(code)
def main(args):
conf = JobConf(WordCountMap);
conf.setJobName("wordcount");
conf.setOutputKeyClass(Text);
conf.setOutputValueClass(IntWritable);
conf.setMapperClass(WordCountMap);
conf.setCombinerClass(Summer);
conf.setReducerClass(Summer);
try:
flags, other_args = getopt.getopt(args[1:], "m:r:")
except getopt.GetoptError:
printUsage(1)
if len(other_args) != 2:
printUsage(1)
for f,v in flags:
if f == "-m":
conf.setNumMapTasks(int(v))
elif f == "-r":
conf.setNumReduceTasks(int(v))
conf.setInputPath(Path(other_args[0]))
conf.setOutputPath(Path(other_args[1]))
JobClient.runJob(conf);
if __name__ == "__main__":
main(sys.argv)
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