Hadoop Streaming 不能运行 python

Question

我正在尝试使用 python 代码通过 mapreduce 执行 hadoop 流，但是，它总是给出相同的错误结果，

File: file:/C:/py-hadoop/map.py is not readable

或

Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 1

我使用 hadoop 3.1.1 和 python 3.8，Windows 10os

这是我的 map reduce 命令行

hadoop jar C:/hadoop/share/hadoop/tools/lib/hadoop-streaming-3.1.1.jar -file C:/py-hadoop/map.py,C:/py-hadoop/reduce.py -mapper "python map.py" -reducer "python reduce.py" -input /user/input -output /user/python-output

map.py

import sys

for line in sys.stdin:
    line = line.strip()
    words = line.split()
    for word in words:
        print ("%s\t%s" % (word, 1))

reduce.py

from operator import itemgetter
import sys

current_word = None
current_count = 0
word = None
clean = '0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ '

for line in sys.stdin:
    line = line.strip()
    word, count = line.split('\t', 1)
    try:
        count = int(count)
    except ValueError:
        continue
    word = filter(lambda x: x in clean, word).lower()
    if current_word == word:
        current_count += count
    else:
        if current_word:
            print ("%s\t%s" % (current_word, current_count))
        current_count = count
        current_word = word

if current_word == word:
    print ("%s\t%s" % (current_word, current_count))

也已经尝试过不同的命令行，比如

hadoop jar C:/hadoop/share/hadoop/tools/lib/hadoop-streaming-3.1.1.jar -file C:/py-hadoop/map.py -mapper "python map.py" -file C:/py-hadoop/reduce.py -reducer "python reduce.py" -input /user/input -output /user/python-output

和

hadoop jar C:/hadoop/share/hadoop/tools/lib/hadoop-streaming-3.1.1.jar -file py-hadoop/map.py -mapper "python map.py" -file py-hadoop/reduce.py -reducer "python reduce.py" -input /user/input -output /user/python-output

但仍然给出完全相同的错误结果，

对不起，如果我的英语不好，我不是母语人士

Answer 1

已经修复了，问题是由 reduce.py 引起的，这是我的新 reduce.py

import sys
import collections

counter = collections.Counter()

for line in sys.stdin:
    word, count = line.strip().split("\t", 1)

    counter[word] += int(count)

for x in counter.most_common(9999):
    print(x[0],"\t",x[1])

这是我用来运行

的命令行

hadoop jar C:/hadoop/share/hadoop/tools/lib/hadoop-streaming-3.1.1.jar -file C:/py-hadoop/map.py -file C:/py-hadoop/reduce.py -mapper "python map.py" -reducer "python reduce.py" -input /user/input -output /user/python-output

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