python - wordcount:reduce python程序抛出ValueError

Question

每当尝试在Hadoop系统中运行Reducer python程序时，都会出现此错误。 Mapper程序可以完美运行。与我的Mapper程序具有相同的权限。是否存在语法错误？

追溯(最近一次通话):
在第13行的文件“reducer.py”中
单词，计数= line.split('\ t'，1)
ValueError:需要多个值才能解压

            #!/usr/bin/env python
            import sys

            # maps words to their counts
            word2count = {}

            # input comes from STDIN
            for line in sys.stdin:
                # remove leading and trailing whitespace
                line = line.strip()

                # parse the input we got from mapper.py
                word, count = line.split('\t', 1)
                # convert count (currently a string) to int
                try:
                    count = int(count)
                except ValueError:
                    continue

                try:
                    word2count[word] = word2count[word]+count
                except:
                    word2count[word] = count

            # write the tuples to stdout
            # Note: they are unsorted
            for word in word2count.keys():
                print '%s\t%s'% ( word, word2count[word] )

Answer 1

当您在右侧使用太少的值进行多重分配时，抛出ValueError: need more than 1 value to unpack错误。因此，看来line中没有\t，因此line.split('\t',1)产生单个值，从而导致类似word, count = ("foo",)的问题。