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读取csv文件后插入MySQl数据库?

[英]Insert into MySQl database after reading csv file?

我有这样的csv文件:

nohaelprince@uwaterloo.ca, 01-05-2014
nohaelprince@uwaterloo.ca, 01-05-2014
nohaelprince@uwaterloo.ca, 01-05-2014
nohaelprince@gmail.com, 01-05-2014

我需要阅读上面的csv文件并提取域名,还需要按域名和日期提取电子邮件地址的数量。 所有这些事情我都需要插入MySQL数据库中,但是以某种方式,我在迭代得到的列表后仍然无法插入MySQL数据库中。

查询将是这样的:

INSERT INTO domains(domain_name, cnt, date_of_entry) VALUES (%s, %s, %s);

下面是代码

#!/usr/bin/python
import fileinput
import csv
import os
import sys
import MySQLdb

from collections import defaultdict

lst = defaultdict(list)
d_lst = defaultdict(list)

# ======================== Defined Functions ======================
def get_file_path(filename):
    currentdirpath = os.getcwd()  
    # get current working directory path
    filepath = os.path.join(currentdirpath, filename)
    return filepath
# ===========================================================
def read_CSV(filepath):

   domain_list = []
   domain_date_list = []
   sorted_domain_list_bydate = defaultdict(list)

   with open(filepath, 'rb') as csvfile:
       reader = csv.reader(csvfile)

       for row in reader:
          # insert the 1st & 2nd column of the CSV file into a set called input_list
           email = row[0].strip().lower()
           date  = row[1].strip()

           domain_date_list.append([date, email[ email.find("@") : ]])
           domain_list.append(email[ email.find("@") : ])

   for k, v in domain_date_list: 
         sorted_domain_list_bydate[k].append(v)


   # remove duplicates from domain list
   domain_list = list(set(domain_list))

   return sorted_domain_list_bydate, domain_list
# ===========================================================
def update_DB(lst):

    # open a database connection
    db = MySQLdb.connect(host="localhost", # your host, usually localhost
                         user="root", # your username
                          passwd="abcdef1234", # your password
                          db="test") # name of the data base
    cur = db.cursor() 

    a = []
    for k, v in lst.items():
        # now what should I do here?
        # this is what I am confuse

    db.commit()
    db.close()
# ==========================================================

# ======================= main program =======================================
path = get_file_path('emails.csv') 
[lst, d_lst] = read_CSV(path) # read the input file
update_DB(lst) # insert data into domains table

我对update_DB方法感到困惑。

我不确定为什么您要为一个简单的任务准备这么复杂的程序。 让我们从顶部开始:

  1. 您需要首先按域,日期和计数正确地组织数据。

     import csv from collections import defuaultdict, Counter domain_counts = defaultdict(Counter) with open('somefile.csv') as f: reader = csv.reader(f) for row in reader: domain_counts[row[0].split('@')[1].strip()][row[1]] += 1 
  2. 接下来,您需要在数据库中正确插入每一

     db = MySQLdb.connect(...) cur = db.cursor() q = 'INSERT INTO domains(domain_name, cnt, date_of_entry) VALUES(%s, %s, %s)' for domain, data in domain_counts.iteritems(): for email_date, email_count in data.iteritems(): cur.execute(q, (domain, email_count, email_date)) db.commit() 

由于您的日期未正确插入,因此请尝试使用此更新的查询:

q = """INSERT INTO 
          domains(domain_name, cnt, date_of_entry)
          VALUES(%s, %s, STR_TO_DATE(%s, '%d-%m-%Y'))"""

这里的read_csv函数将返回sorteddomainlistbydate和update_db函数使用的domain_list(这是一个列表),您将在其中进行插入。

您的列表仅包含域名,而每对键值应包含的域名和数量如

google.com,2

live.com,1

for k, v in lst.items():
     cur.execute("INSERT INTO domains(domain_name, cnt, date_of_entry) VALUES ('" + str(k) + "','" + str(v) + "','" + str(time.strftime("%d/%m/%Y"))+"')")

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