[ pymysql ] 三种插入方式的速度对比
Posted ponponon
tags:
篇首语:本文由小常识网(cha138.com)小编为大家整理,主要介绍了[ pymysql ] 三种插入方式的速度对比相关的知识,希望对你有一定的参考价值。
- 方案一:使用 executemany 一次 + commit 一次
- 方案二:使用 execute 10000 次 + commit 一次
- 方案三:使用 (execute + commit) 都 10000 次
生成伪数据
fake: Faker = Faker(locale=\'zh_CN\')
start = time.time()
tables = []
for i in range(10000):
row = (fake.name(), fake.text())
tables.append(row)
# print(row)
end = time.time()
print(f\'生成数据完成! pay time is {end - start} s\')
connection: Connection = pymysql.connect(
user=\'root\',
password=\'yourpassword\',
host=\'192.168.31.203\',
port=3306,
database=\'test_001\'
)
方案一
print(\'开始方案一......\')
with connection:
# 创建数据表
with connection.cursor() as cursor:
cursor: Cursor
sql = """
create table if not exists `tweet`(
`id` bigint NOT NULL AUTO_INCREMENT,
`username` varchar(255) NOT NULL,
`content` varchar(255) NOT NULL,
PRIMARY KEY (`id`)
)
"""
cursor.execute(sql)
start = time.time()
# 插入数据
with connection.cursor() as cursor:
cursor: Cursor
sql = \'insert into tweet (`username`,`content`) values (%s,%s) \'
cursor.executemany(sql, tables)
connection.commit()
end = time.time()
print(f\'方案一:插入数据完成! pay time is {end - start} s\')
# 删除数据表
with connection.cursor() as cursor:
cursor: Cursor
sql = \'drop table tweet;\'
cursor.execute(sql)
方案二
print(\'开始方案二......\')
connection: Connection = pymysql.connect(
user=\'root\',
password=\'yourpassword\',
host=\'192.168.31.203\',
port=3306,
database=\'test_001\'
)
with connection:
# 创建数据表
with connection.cursor() as cursor:
cursor: Cursor
sql = """
create table if not exists `tweet`(
`id` bigint NOT NULL AUTO_INCREMENT,
`username` varchar(255) NOT NULL,
`content` varchar(255) NOT NULL,
PRIMARY KEY (`id`)
)
"""
cursor.execute(sql)
start = time.time()
# 插入数据
with connection.cursor() as cursor:
cursor: Cursor
for row in tables:
sql = \'insert into tweet (`username`,`content`) values (%s,%s) \'
cursor.execute(sql, row)
connection.commit()
end = time.time()
print(f\'方案二:插入数据完成! pay time is {end - start} s\')
# 删除数据表
with connection.cursor() as cursor:
cursor: Cursor
sql = \'drop table tweet;\'
cursor.execute(sql)
方案三
print(\'开始方案三......\')
connection: Connection = pymysql.connect(
user=\'root\',
password=\'yourpassword\',
host=\'192.168.31.203\',
port=3306,
database=\'test_001\'
)
with connection:
# 创建数据表
with connection.cursor() as cursor:
cursor: Cursor
sql = """
create table if not exists `tweet`(
`id` bigint NOT NULL AUTO_INCREMENT,
`username` varchar(255) NOT NULL,
`content` varchar(255) NOT NULL,
PRIMARY KEY (`id`)
)
"""
cursor.execute(sql)
start = time.time()
# 插入数据
with connection.cursor() as cursor:
cursor: Cursor
for row in tables:
sql = \'insert into tweet (`username`,`content`) values (%s,%s) \'
cursor.execute(sql, row)
connection.commit()
end = time.time()
print(f\'方案三:插入数据完成! pay time is {end - start} s\')
# 删除数据表
with connection.cursor() as cursor:
cursor: Cursor
sql = \'drop table tweet;\'
cursor.execute(sql)
运行结果
生成数据完成! pay time is 1.2480072975158691 s
开始方案一......
方案一:插入数据完成! pay time is 2.1816399097442627 s
开始方案二......
方案二:插入数据完成! pay time is 27.0793399810791 s
开始方案三......
方案三:插入数据完成! pay time is 247.8990249633789 s
可以看到
速度:方案一 > 方案二 > 方案三
完整代码
import pymysql
from pymysql.connections import Connection
from pymysql.cursors import Cursor
from faker import Faker
import time
fake: Faker = Faker(locale=\'zh_CN\')
start = time.time()
tables = []
for i in range(10000):
row = (fake.name(), fake.text())
tables.append(row)
# print(row)
end = time.time()
print(f\'生成数据完成! pay time is {end - start} s\')
connection: Connection = pymysql.connect(
user=\'root\',
password=\'yourpassword\',
host=\'192.168.31.203\',
port=3306,
database=\'test_001\'
)
print(\'开始方案一......\')
with connection:
# 创建数据表
with connection.cursor() as cursor:
cursor: Cursor
sql = """
create table if not exists `tweet`(
`id` bigint NOT NULL AUTO_INCREMENT,
`username` varchar(255) NOT NULL,
`content` varchar(255) NOT NULL,
PRIMARY KEY (`id`)
)
"""
cursor.execute(sql)
start = time.time()
# 插入数据
with connection.cursor() as cursor:
cursor: Cursor
sql = \'insert into tweet (`username`,`content`) values (%s,%s) \'
cursor.executemany(sql, tables)
connection.commit()
end = time.time()
print(f\'方案一:插入数据完成! pay time is {end - start} s\')
# 删除数据表
with connection.cursor() as cursor:
cursor: Cursor
sql = \'drop table tweet;\'
cursor.execute(sql)
# --------------------------------------------------------------------
print(\'开始方案二......\')
connection: Connection = pymysql.connect(
user=\'root\',
password=\'yourpassword\',
host=\'192.168.31.203\',
port=3306,
database=\'test_001\'
)
with connection:
# 创建数据表
with connection.cursor() as cursor:
cursor: Cursor
sql = """
create table if not exists `tweet`(
`id` bigint NOT NULL AUTO_INCREMENT,
`username` varchar(255) NOT NULL,
`content` varchar(255) NOT NULL,
PRIMARY KEY (`id`)
)
"""
cursor.execute(sql)
start = time.time()
# 插入数据
with connection.cursor() as cursor:
cursor: Cursor
for row in tables:
sql = \'insert into tweet (`username`,`content`) values (%s,%s) \'
cursor.execute(sql, row)
connection.commit()
end = time.time()
print(f\'方案二:插入数据完成! pay time is {end - start} s\')
# 删除数据表
with connection.cursor() as cursor:
cursor: Cursor
sql = \'drop table tweet;\'
cursor.execute(sql)
# --------------------------------------------------------------------
print(\'开始方案三......\')
connection: Connection = pymysql.connect(
user=\'root\',
password=\'yourpassword\',
host=\'192.168.31.203\',
port=3306,
database=\'test_001\'
)
with connection:
# 创建数据表
with connection.cursor() as cursor:
cursor: Cursor
sql = """
create table if not exists `tweet`(
`id` bigint NOT NULL AUTO_INCREMENT,
`username` varchar(255) NOT NULL,
`content` varchar(255) NOT NULL,
PRIMARY KEY (`id`)
)
"""
cursor.execute(sql)
start = time.time()
# 插入数据
with connection.cursor() as cursor:
cursor: Cursor
for row in tables:
sql = \'insert into tweet (`username`,`content`) values (%s,%s) \'
cursor.execute(sql, row)
connection.commit()
end = time.time()
print(f\'方案三:插入数据完成! pay time is {end - start} s\')
# 删除数据表
with connection.cursor() as cursor:
cursor: Cursor
sql = \'drop table tweet;\'
cursor.execute(sql)
以上是关于[ pymysql ] 三种插入方式的速度对比的主要内容,如果未能解决你的问题,请参考以下文章