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3.1 python版MapReduce基础实战

输入文件在你每次点击评测的时候,平台会为你创建,无需你自己创建,只需要启动HDFS,编写python代码即可。

第1关:成绩统计

  1. mapper.py
#! /usr/bin/python3

import sys

def main():
    for line in sys.stdin:
        line = line.strip()
        mapper(line)

# 使用name,age分别表示姓名和年龄
def mapper(line):
    ##########  begin      ############
    
    group = line.split('\\n')
    for people in group:
        if len(people.strip()) == 0:
            continue
        name, age = people.split(' ')

    ###########  End  #################

        print("%s\t%s" % (name, age))

if __name__ == '__main__':
    main()
  1. reducer.py
#! /usr/bin/python3

import sys
from operator import itemgetter
# 找出values的最大值,并按name\tmax_age的形式输出。
def reducer(k, values):
    ##### Begin #########

    print("%s\t%s" % (k,max(values)))
    #####  End  #########

############################################# 
# mapper的输出经过分区处理后,数据行按照键排序;   
# 具有相同键的行排在一起;                      
# hadoop-streaming不会合并相同键的各个值。      
# 下面的代码将相同键的各个值放到同一个列表中,     
# 并调用reducer函数实现找出每个人的最大年龄并输出;
# 输出格式为:姓名\年龄                        
#############################################

def main():
    current_name = None
    ages = []
    name, age = '', 0
    for line in sys.stdin:
        line = line.strip()
        name, age = line.split('\t', 1)
        age = int(age)

        if current_name == name:
            ages.append(age)
        else:
            if current_name:
                reducer(current_name, ages)
                ages = []
            
            ages.append(age)
            current_name = name
    # 不要忘记最后一个人
    if current_name == name:
        reducer(current_name, ages)

if __name__ == '__main__':
    main()

第2关:文件内容合并去重

  1. mapper.py
#! /usr/bin/python3
import sys

def main():
    for line in sys.stdin:
        line = line.strip()
        mapper(line)

def mapper(line):
    ########## Begin  ###############
    items = line.split('\\n') 
    
    for item in items:
        key,value = item.split() 
        print("%s\t%s" % (key,value))
   ###########  End    #############
if __name__ == '__main__':
    main()
  1. reducer.py
#! /usr/bin/python3

import sys

def reducer(k, values):
    ############  Begin   ################

    value = sorted(list(set(values)))
    for v in value:
        print("%s\t%s" % (k,v))
    ############   End    ################

def main():
    current_key = None
    values = []
    akey, avalue = None, None
    for line in sys.stdin:
        line = line.strip()
        akey, avalue = line.split('\t')
        
        if current_key == akey:
            values.append(avalue)
        else:
            if current_key:
                reducer(current_key, values)
                values = []
  
            values.append(avalue)
            current_key = akey
    
    if current_key == akey:
        reducer(current_key, values)

if __name__ == '__main__':
    main()
        

第3关:信息挖掘 - 挖掘父子关系

  1. mapper.py
#! /usr/bin/python3
  
import sys

def mapper(line):
    ###############  Begin   ############
    
    
 
    items = line.split("\\n")
    for item in items:
        child,parent = item.split()
        print("%s\t%s" % (child,"p-"+parent))
        print("%s\t%s" % (parent,"c-"+child))

    
    
    ###############   End    #############

def main():
    for line in sys.stdin:
        line = line.strip()
        if line.startswith('child'):
            pass
        else:
            mapper(line)

if __name__ == '__main__':
    main()
  1. reducer.py
#! /usr/bin/python3

import sys

def reducer(k, values):
    ##############    Begin    ################
    
    grandc = []
    grandp = []
    for value in values:
        if value[:2] == 'c-':
            grandc.append(value[2:])
        elif value[:2] == 'p-':
            grandp.append(value[2:])
    
    for c in grandc:
        for p in grandp:
            print("%s\t%s" % (c,p))

    
    
    
    
    
    ##############   End      #################

def main():
    current_key = None
    values = []
    akey, avalue = None, None
    print("grand_child\tgrand_parent")
    for line in sys.stdin:
        line = line.strip()

        try:
            akey, avalue = line.split('\t')
        except:
            continue
        if current_key == akey:
            values.append(avalue)
        else:
            if current_key:
                reducer(current_key, values)
                values = []
            values.append(avalue)
            current_key = akey
    if current_key == akey:
        reducer(current_key, values)

if __name__ == '__main__':
    main()
标签: hadoop python mapreduce

本文转载自: https://blog.csdn.net/weixin_43988390/article/details/129552016
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