我有一个包含表格的数据库：人员、球员、教练和团队。所有表都有一个自动递增的 id 字段作为主键。人有 id、firstname、lastname。Player 和 coach 都有 id 字段，以及 person_id 和 team_id 作为外键，以将它们绑定到其他表中的 team.id 或 person.id 字段。我有一个主 csv 文件，我想从中导入 MySql 不同表中的所有值和 id。我还想检查数据库中的值。如果该值在数据库中，则不要导入该值。我使用了 CSV 解析和索引功能。但我无法做到这一点。任何人都可以在下面的我的 sql 表中帮助我吗
mysql> describe person;
+-----------+-------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-----------+-------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| firstname | varchar(30) | NO | | NULL | |
| lastname | varchar(30) | NO | | NULL | |
+-----------+-------------+------+-----+---------+----------------+
mysql> describe player;
+-----------+---------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-----------+---------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| person_id | int(11) | NO | MUL | NULL | |
| team_id | int(11) | NO | MUL | NULL | |
+-----------+---------+------+-----+---------+----------------+
mysql> describe team;
+-----------+-------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-----------+-------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| teamname | varchar(25) | NO | | NULL | |
| location | varchar(40) | NO | | NULL | |
| city | varchar(25) | NO | | NULL | |
| state | varchar(2) | NO | | NULL | |
| venue | varchar(35) | NO | | NULL | |
| league_id | int(11) | NO | MUL | NULL | |
+-----------+-------------+------+-----+---------+----------------+
我的 Csv 文件是名字姓氏团队名称位置城市状态|地点
abc cdf 印度 csv bng kar abc
导入后
我有一个包含表格的数据库：人员、球员、教练和团队。所有表都有一个自动递增的 id 字段作为主键。人有 id、firstname、lastname。Player 和 coach 都有 id 字段，以及 person_id 和 team_id 作为外键，以将它们绑定到其他表中的 team.id 或 person.id 字段。我有一个主 csv 文件，我想从中导入 MySql 不同表中的所有值和 id。我还想检查数据库中的值。如果该值在数据库中，则不要导入该值。我使用了 CSV 解析和索引功能。但我无法做到这一点。任何人都可以在下面的我的 sql 表中帮助我吗
mysql> describe person;
+-----------+-------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-----------+-------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| firstname | varchar(30) | NO | | NULL | |
| lastname | varchar(30) | NO | | NULL | |
+-----------+-------------+------+-----+---------+----------------+
mysql> describe player;
+-----------+---------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-----------+---------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| person_id | int(11) | NO | MUL | NULL | |
| team_id | int(11) | NO | MUL | NULL | |
+-----------+---------+------+-----+---------+----------------+
mysql> describe team;
+-----------+-------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-----------+-------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| teamname | varchar(25) | NO | | NULL | |
| location | varchar(40) | NO | | NULL | |
| city | varchar(25) | NO | | NULL | |
| state | varchar(2) | NO | | NULL | |
| venue | varchar(35) | NO | | NULL | |
| league_id | int(11) | NO | MUL | NULL | |
+-----------+-------------+------+-----+---------+----------------+
我的 CSV 文件是
First Name Last Name teamname Location city state |venue
abc cdf india csv bng kar abc
导入后
id First Name Last Name teamname Location city state |venue coment
1 1 1 1 1 1 1 abc abc
我正在尝试一些小代码
# initialize with empty ints and dicts
name,cities,countries,states=[],[],[],[]
with open('ind.csv','rb') as csvfile:
reader = csv.reader(csvfile, delimiter=',')
reader.next() #skip header
for row in reader:
name.append(row[0])
cities.append(row[2])
states.append(row[3])
countries.append(row[4])
cl = list(set(countries))
sl = list(set(states))
citl = list(set(cities))
inf1 = list(set(name))
with open('countries.csv','w') as cfile:
writer = csv.writer(cfile, delimiter=',')
writer.writerow(['country_id','name'])
for i,x in enumerate(cl):
writer.writerow([i,x])
with open('state.csv','w') as cfile:
writer = csv.writer(cfile, delimiter=',')
writer.writerow(['state_id','country_id','state'])
for i,x in enumerate(sl):
writer.writerow([i,x,cl.index(countries[states.index(x)])])
with open('cities.csv','w') as cfile:
writer = csv.writer(cfile,delimiter=',')
writer.writerow(['city_id','city','st_id','country_id'])
for i,x in enumerate(citl):
writer.writerow([i,x,sl.index(states[cities.index(x)]),
cl.index(countries[cities.index(x)])
])
with open('inf123.csv','w') as cfile:
writer = csv.writer(cfile,delimiter=',')
writer.writerow(['Name_id', 'Name','city_id','st_id','country_id'])
for i,x in enumerate(inf1):
writer.writerow([i,x,
citl.index(cities[name.index(x)]),
sl.index(states[name.index(x)]),
cl.index(countries[name.index(x)])
])
import MySQLdb
import csv
mydb = MySQLdb.connect(host="localhost", # The Host
user="root", # username
passwd="root", # password
db="abcm") # name of the data base
cursor = mydb.cursor()
csv_data = csv.reader(file('countries.csv'))
for row in csv_data:
cursor.execute('INSERT INTO country(id, \
name )' \
'VALUES("%s", "%s")',
row)
#close the connection to the database.
mydb.commit()
cursor.close()
print "Done"
cursor = mydb.cursor()
csv_data = csv.reader(file('state.csv'))
for row in csv_data:
cursor.execute('INSERT INTO state(id, \
country, name )' \
'VALUES("%s", "%s", "%s")',
row)
#close the connection to the database.
mydb.commit()
cursor.close()
print "Done"