Mysql快速导出导入数据的实验

一、创建测试数据库

CREATE database example;

use example;
create TABLE `user` (
  `id` int() NOT NULL,
  `last_name` varchar() DEFAULT NULL,
  `first_name` varchar() DEFAULT NULL,
  `sex` set('M','F')  DEFAULT NULL,
  `age` tinyint() DEFAULT NULL,
  `phone` varchar() DEFAULT NULL,
  `address` varchar() DEFAULT NULL,
  `password` varchar() DEFAULT NULL,
  `create_time` datetime DEFAULT NULL,
  PRIMARY KEY (`id`),
  KEY `idx_last_first_name_age` (`last_name`,`first_name`,`age`) USING BTREE,
  KEY `idx_phone` (`phone`) USING BTREE,
  KEY `idx_create_time` (`create_time`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

二、使用Python3.6产生测试数据

1、ChangePipSource.py 作用：加快PIP的安装速度，原理：使用豆瓣的镜像

import os

ini = """[global]
index-url = https://pypi.doubanio.com/simple/
[install]
trusted-host=pypi.doubanio.com
disable-pip-version-check = true
timeout =
"""
pippath = os.environ["USERPROFILE"] + "\\pip\\"

if not os.path.exists(pippath):
    os.mkdir(pippath)

with open(pippath + "pip.ini", "w+") as f:
    f.write(ini)

2、生成测试数据的脚本

（1）Util/Config.py

class InitConfig:
    DataBaseHost = '127.0.0.1'
    DataBasePort =
    DataBaseUser = 'root'
    DataBasePassword = 'dsideal'
    DataBaseName = "example"

(2)Util/MySQLHelper.py

# --encoding:utf---
# pip install pymysql
import pymysql.cursors
from Util.Config import *

class MySQLHelper:
    myVersion = 0.1

    def __init__(self, host=InitConfig.DataBaseHost, port=InitConfig.DataBasePort, user=InitConfig.DataBaseUser,
                 password=InitConfig.DataBasePassword, db=InitConfig.DataBaseName, charset="utf8"):
        self.host = host
        self.user = user
        self.port = port
        self.password = password
        self.charset = charset
        self.db = db

        try:
            self.conn = pymysql.connect(host=self.host, port=self.port, user=self.user, passwd=self.password,
                                        db=self.db, charset=self.charset, cursorclass=pymysql.cursors.DictCursor)
            self.cursor = self.conn.cursor()
        except Exception as e:
            print('MySql Error : %d %s' % (e.args[], e.args[]))

    def query(self, sql):
        try:
            self.cursor.execute(sql)
            result = self.cursor.fetchall()
            return result
        except Exception as e:
            print('MySql Error: %s SQL: %s' % (e, sql))

    def execute(self, sql):
        try:
            self.cursor.execute(sql)
            self.conn.commit()
        except Exception as e:
            print('MySql Error: %s SQL: %s' % (e, sql))

    def executemany(self, sql, data):
        try:
            self.cursor.executemany(sql, data)
            self.conn.commit()
        except Exception as e:
            print('MySql Error: %s SQL: %s' % (e, sql))

    def close(self):
        self.cursor.close()
        self.conn.close()

(3)generate_user_data.py

#!/usr/bin/python
# -*- coding: UTF- -*-
import random
import string
import time
from Util.MySQLHelper import *

#批量插的次数
loop_count =
#每次批量查的数据量
batch_size =
success_count =
fails_count =
#数据库的连接
chars = 'AaBbCcDdEeFfGgHhIiJjKkLlMmNnOoPpQqRrSsTtUuVvWwXxYyZz'
digits = ''
def random_generate_string(length):
    return ''.join(random.sample(chars, length))
def random_generate_number(length):
    if length > len(digits):
        digit_list = random.sample(digits, len(digits))
        digit_list.append(random.choice(digits))
        return ''.join(digit_list)
    return ''.join(random.sample(digits, length))
def random_generate_data(num):
    c = [num]
    phone_num_seed =
    def _random_generate_data():
        c[] +=
        return (
            c[],
            "last_name_" + str(random.randrange()),
            "first_name_" + str(random.randrange()),
            random.choice('MF'),
            random.randint(, ),
            phone_num_seed + c[],
            random_generate_string(),
            random_generate_string(),
            time.strftime("%Y-%m-%d %H:%M:%S")
        )
    return _random_generate_data
def execute_many(insert_sql, batch_data):
    db = MySQLHelper()
    db.executemany(insert_sql, batch_data)
    db.close()
try:
    #user表列的数量
    column_count = 

    #插入的SQL
    insert_sql = "replace into user(id, last_name, first_name, sex, age, phone, address, password, create_time) values (" + ",".join([ "%s" for x in range(column_count)]) + ")"
    batch_count =
    begin_time = time.time()
    for x in range(loop_count):
        batch_count =  x * batch_size
        gen_fun = random_generate_data(batch_count)
        batch_data = [gen_fun() for x in range(batch_size)]
        execute_many(insert_sql, batch_data)
        success_count=success_count+batch_size
        print("Running..."+str(success_count))
    end_time = time.time()
    total_sec = end_time - begin_time
    qps = success_count / total_sec
    print("总共生成数据： " + str(success_count))
    print("总共耗时(s): " + str(total_sec))
    print("QPS: " + str(qps))
except Exception as  e:
    print(e)
    raise
else:
    pass
finally:
    pass

3、将生成的100W条测试数据导出生成CSV

select id,last_name,first_name,sex,age,phone,address,password,create_time from user into outfile 'd://user.csv' fields terminated by ',' optionally enclosed by '"' escaped by '"'   lines terminated by '\r\n';

4、测试导入

truncate table user;

load data infile 'd://user.csv' into table `user`   fields terminated by ','  optionally enclosed by '"' escaped by '"'  lines terminated by '\r\n';

5、测试一下系统中的大表

load data infile '/usr/local/t_resource_info.csv' into table `t_resource_info`   fields terminated by ','  optionally enclosed by '"' escaped by '"'  lines terminated by '\r\n';

/*
1、导出
受影响的行: 822445
时间: 26.410s
985.91MB

2、导入
受影响的行: 822445
时间: 257.772s
*/

对比发下PSC的t_resource_info的备份时间：

6、下一步的思考 思路

http://www.cnblogs.com/obullxl/archive/2012/06/11/jdbc-mysql-load-data-infile.html