其他-Hadoop流无法运行python

(其他 - Hadoop Streaming can't run python)

发布于 2020-11-29 16:33:03

我正在尝试使用python代码使用mapreduce执行hadoop流，但是，它始终会给出相同的错误结果，

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

或者

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

我在Windows 10操作系统上使用hadoop 3.1.1和python 3.8

这是我的 map减少命令行

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))

也已经尝试过使用其他命令行，例如

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

Questioner

Dary

Viewed

Original

English

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])

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

其他-Hadoop流无法运行python

(其他 - Hadoop Streaming can't run python)

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