hadoop大作业

 1.用Hive对爬虫大作业产生的文本文件（或者英文词频统计下载的英文长篇小说）词频统计。

1.启动hadoop

2.Hdfs上创建文件夹并查看

 

3.上传英文词频统计文本至hdfs

1、把英文文章的每个单词放到列表里，并统计列表长度； 
2、遍历列表，对每个单词出现的次数进行统计，并将结果存储在字典中； 
3、利用步骤1中获得的列表长度，求出每个单词出现的频率，并将结果存储在频率字典中； 
3、以字典键值对的“值”为标准，对字典进行排序，输出结果（也可利用切片输出频率最大或最小的特定几个，因为经过排序sorted()函数处理后，单词及其频率信息已经存储在元组中，所有元组再组成列表。）

fin = open('The_Magic_Skin _Honore_de_Balzac.txt') #the txt is up
#to you 
lines=fin.readlines()
fin.close()

'''transform the article into word list

'''
def words_list():
    chardigit='ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789 '
    all_lines = ''
    for line in lines:
        one_line=''
        for ch in line:
            if ch in chardigit:
                one_line = one_line + ch
        all_lines = all_lines + one_line

    return all_lines.split()

'''calculate the total number of article list

s is the article list
'''
def total_num(s):
    return len(s)

'''calculate the occurrence times of every word

t is the article list
'''
def word_dic(t):
    fre_dic = dict()
    for i in range(len(t)):
        fre_dic[t[i]] = fre_dic.get(t[i],0) + 1
    return fre_dic

'''calculate the occurrence times of every word

w is dictionary of the occurrence times of every word
'''
def word_fre(w):
    for key in w:
        w[key] = w[key] / total
    return w

'''sort the dictionary 

v is the frequency of words
'''
def word_sort(v):
    sort_dic = sorted(v.items(), key = lambda e:e[1])
    return sort_dic

'''This is entrance of functions

output is the ten words with the largest frequency
'''
total = total_num(words_list())   
print(word_sort(word_fre(word_dic(words_list())))[-10:])

    英文长篇小说TXT如下

　

词频截图如下

2.用Hive对爬虫大作业产生的csv文件进行数据分析，写一篇博客描述你的分析过程和分析结果。

csv文件，通过 Numbers 打开

"Header1","Header2","Header3"
"Data1","Data2","Data3"
"Data1","Data2","Data3"

　　

所有的数据都读到了 datas 数组中

def main(input_file_path):
  input_file = open(input_file_path);

  # skip header
  input_file.readline();

  datas = [];

  key_index_table = {
  "Header1": 0,
  "Header2": 1,
  "Header3": 2};

  count = 0;
  max_count = 10000;
  while count < max_count:
    count += 1;
    line = input_file.readline();
    if not line:
      break;

    values = line.split(",");

    data = {};
    for key in key_index_table:
      value = values[key_index_table[key]];
      value = value[1:-1]; # remove quotation mark
      data[key] = int(value);

    datas.append(data);

  drawTable(datas);

　　分析截图如下

这样就可以对自己感兴趣的方向分析。