我对这个过程还比较陌生。我尝试在本地hadoop集群（hadoop版本3.2.1）上使用python3.8和csv运行一个简单的map reduce作业。我目前正在Windows10（64位）上运行它。我要做的是处理一个csv文件，在这个文件中，我将得到一个代表前10名工资的计数输出，但是它不起作用。
输入此命令时：

$ python test2.py hdfs:///sample/salary.csv -r hadoop --hadoop-streaming-jar %HADOOP_HOME%/share/hadoop/tools/lib/hadoop-streaming-3.2.1.jar

输出报告错误：

No configs found; falling back on auto-configuration
No configs specified for hadoop runner
Looking for hadoop binary in C:\hdp\hadoop\hadoop-dist\target\hadoop-3.2.1\bin...
Found hadoop binary: C:\hdp\hadoop\hadoop-dist\target\hadoop-3.2.1\bin\hadoop.CMD
Using Hadoop version 3.2.1
Creating temp directory C:\Users\Name\AppData\Local\Temp\test2.Name.20200813.003240.345552
uploading working dir files to hdfs:///user/Name/tmp/mrjob/test2.Name.20200813.003240.345552/files/wd...
Copying other local files to hdfs:///user/Name/tmp/mrjob/test2.Name.20200813.003240.345552/files/
Running step 1 of 1...
  Found 2 unexpected arguments on the command line [hdfs:///user/Name/tmp/mrjob/test2.Name.20200813.003240.345552/files/wd/setup-wrapper.sh#setup-wrapper.sh, hdfs:///user/Name/tmp/mrjob/test2.Name.20200813.003240.345552/files/wd/test2.py#test2.py]
  Try -help for more information
  Streaming Command Failed!
Attempting to fetch counters from logs...
Can't fetch history log; missing job ID
No counters found
Scanning logs for probable cause of failure...
Can't fetch history log; missing job ID
Can't fetch task logs; missing application ID
Step 1 of 1 failed: Command '['C:\\hdp\\hadoop\\hadoop-dist\\target\\hadoop-3.2.1\\bin\\hadoop.CMD', 'jar', 'C:\\hdp\\hadoop\\hadoop-dist\\target\\hadoop-3.2.1/share/hadoop/tools/lib/hadoop-streaming-3.2.1.jar', '-files', 'hdfs:///user/Name/tmp/mrjob/test2.Name.20200813.003240.345552/files/wd/mrjob.zip#mrjob.zip,hdfs:///user/Name/tmp/mrjob/test2.Name.20200813.003240.345552/files/wd/setup-wrapper.sh#setup-wrapper.sh,hdfs:///user/Name/tmp/mrjob/test2.Name.20200813.003240.345552/files/wd/test2.py#test2.py', '-input', 'hdfs:///sample/salary.csv', '-output', 'hdfs:///user/Name/tmp/mrjob/test2.Name.20200813.003240.345552/output', '-mapper', '/bin/sh -ex setup-wrapper.sh python3 test2.py --step-num=0 --mapper', '-combiner', '/bin/sh -ex setup-wrapper.sh python3 test2.py --step-num=0 --combiner', '-reducer', '/bin/sh -ex setup-wrapper.sh python3 test2.py --step-num=0 --reducer']' returned non-zero exit status 1.

下面是我从上面的输出中得到的错误：

Found 2 unexpected arguments on the command line [hdfs:///user/Name/tmp/mrjob/test2.Name.20200813.003240.345552/files/wd/setup-wrapper.sh#setup-wrapper.sh, hdfs:///user/Name/tmp/mrjob/test2.Name.20200813.003240.345552/files/wd/test2.py#test2.py]

这是python文件test2.py：

from mrjob.job import MRJob
from mrjob.step import MRStep
import csv
cols = 'Name,JobTitle,AgencyID,Agency,HireDate,AnnualSalary,GrossPay'.split(',')
class salarymax(MRJob):
    def mapper(self, _, line):
        # Convert each line into a dictionary
        row = dict(zip(cols, [a.strip() for a in csv.reader([line]).next()]))
        # Yield the salary
        yield 'salary', (float(row['AnnualSalary'][1:]), line)
        # Yield the gross pay
        try:
            yield 'gross', (float(row['GrossPay'][1:]), line)
        except ValueError:
            self.increment_counter('warn', 'missing gross', 1)
    def reducer(self, key, values):
        topten = []
        # For 'salary' and 'gross' compute the top 10
        for p in values:
            topten.append(p)
            topten.sort()
            topten = topten[-10:]
        for p in topten:
            yield key, p
    combiner = reducer
if __name__ == '__main__':
    salarymax.run()

我已经看了这个stackoverflow问题，如何使用hadoop流在本地hadoop集群中运行mrjob？但这并没有解决我的错误。
我已经查看了setup-wrapper.sh文件，因为那里突出显示了一个错误。我检查的时候好像没什么问题。
我不明白错误是什么。有办法解决吗？