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Benchmarking MySQL drivers (Python 3.4)
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from __future__ import print_function | |
import time | |
def query_10k(cur): | |
t = time.time() | |
for _ in range(10000): | |
cur.execute("SELECT 1,2,3,4,5") | |
res = cur.fetchall() | |
assert len(res) == 1 | |
assert res[0] == (1,2,3,4,5) | |
return time.time() - t | |
def mysql_connector_python(): | |
import mysql.connector | |
conn = mysql.connector.connect(user='root', host='localhost') | |
print("MySQL Connector/Python:", query_10k(conn.cursor()), "[sec]") | |
def mysqlclient(): | |
import MySQLdb | |
conn = MySQLdb.connect(user='root', host='localhost') | |
print("mysqlclient:", query_10k(conn.cursor()), "[sec]") | |
def pymysql(): | |
import pymysql | |
conn = pymysql.connect(user='root', host='localhost') | |
print("PyMySQL:", query_10k(conn.cursor()), "[sec]") | |
for _ in range(10): # for PyPy warmup | |
mysql_connector_python() | |
mysqlclient() | |
pymysql() |
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MySQL Connector/Python: 4.554934978485107 [sec] | |
mysqlclient: 0.8555710315704346 [sec] | |
PyMySQL: 5.129631996154785 [sec] |
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MySQL Connector/Python: 2.88878798485 [sec] | |
mysqlclient: 3.7735979557 [sec] | |
PyMySQL: 2.70332789421 [sec] | |
MySQL Connector/Python: 1.64176392555 [sec] | |
mysqlclient: 3.87362599373 [sec] | |
PyMySQL: 1.43844795227 [sec] | |
MySQL Connector/Python: 2.09882998466 [sec] | |
mysqlclient: 3.89048695564 [sec] | |
PyMySQL: 1.41811800003 [sec] | |
MySQL Connector/Python: 2.10359406471 [sec] | |
mysqlclient: 3.88971209526 [sec] | |
PyMySQL: 1.43477678299 [sec] | |
MySQL Connector/Python: 1.74524617195 [sec] | |
mysqlclient: 3.88212299347 [sec] | |
PyMySQL: 1.43231987953 [sec] | |
MySQL Connector/Python: 1.61375522614 [sec] | |
mysqlclient: 3.86587405205 [sec] | |
PyMySQL: 1.39657282829 [sec] | |
MySQL Connector/Python: 1.55139803886 [sec] | |
mysqlclient: 3.87236499786 [sec] | |
PyMySQL: 1.41039204597 [sec] | |
MySQL Connector/Python: 1.6928999424 [sec] | |
mysqlclient: 3.94669413567 [sec] | |
PyMySQL: 1.40507411957 [sec] | |
MySQL Connector/Python: 1.91752696037 [sec] | |
mysqlclient: 4.04861402512 [sec] | |
PyMySQL: 1.46230983734 [sec] | |
MySQL Connector/Python: 1.87104988098 [sec] | |
mysqlclient: 4.25610113144 [sec] | |
PyMySQL: 1.37460494041 [sec] |
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Yes, caching occurs when we repeat the same queries multiple times; that is why I should have committed the connection after execution or set
autocommit=True
.