在Python 2.7.6版本中
Pandas版本0.18.1
MySQL 5.7
import MySQLdb as dbapi
import sys
import csv
import os
import sys, getopt
import pandas as pd
df = pd.read_csv('test.csv')
rows = df.apply(tuple, 1).unique().tolist()
db=dbapi.connect(host=dbServer,user=dbUser,passwd=dbPass)
cur=db.cursor()
for (CLIENT_ID,PROPERTY_ID,YEAR) in rows:
INSERT_QUERY=("INSERT INTO {DATABASE}.TEST SELECT * FROM {DATABASE}_{CLIENT_ID}.TEST WHERE PROPERTY_ID = {PROPERTY_ID} AND YEAR = {YEAR};".format(
CLIENT_ID=CLIENT_ID,
PROPERTY_ID=PROPERTY_ID,
YEAR=YEAR,
DATABASE=DATABASE
))
print INSERT_QUERY
cur.execute(INSERT_QUERY)
db.query(INSERT_QUERY)
这将打印出我正在寻找的查询,但是,当我在MySQL中检查结果时没有成功返回INSERT INTO的结果
INSERT INTO test.TEST SELECT * FROM test_1.TEST WHERE PROPERTY_ID = 1 AND YEAR = 2015;
但是,如果我只是将这个MySQL查询复制并粘贴到MySQL GUI中,它将毫无问题地执行。任何一位大师能开导吗?
我也试过以下
cur.execute(INSERT_QUERY, multi=True)
返回错误
TypeError: execute() got an unexpected keyword argument 'multi'
答案 0 :(得分:0)
这里的答案是我们需要使用"来自mysql.connector"和db.commit()。这是一个很好的例子
http://www.mysqltutorial.org/python-mysql-insert/
import MySQLdb as dbapi
import mysql.connector
import sys
import csv
import os
import sys, getopt
import pandas as pd
df = pd.read_csv('test.csv')
rows = df.apply(tuple, 1).unique().tolist()
db=dbapi.connect(host=dbServer,user=dbUser,passwd=dbPass)
cur=db.cursor()
conn = mysql.connector.connect(host=dbServer,user=dbUser,port=dbPort,password=dbPass)
cursor=conn.cursor()
for (CLIENT_ID,PROPERTY_ID,YEAR) in rows:
INSERT_QUERY=("INSERT INTO {DATABASE}.TEST SELECT * FROM {DATABASE}_{CLIENT_ID}.TEST WHERE PROPERTY_ID = {PROPERTY_ID} AND YEAR = {YEAR};".format(
CLIENT_ID=CLIENT_ID,
PROPERTY_ID=PROPERTY_ID,
YEAR=YEAR,
DATABASE=DATABASE
))
print INSERT_QUERY
cursor.execute(INSERT_QUERY)
conn.commit()
只有通过提交,才会接受数据库/表的更改