python多线程并发操作数据库,会存在链接数据库超时、数据库连接丢失、数据库操作超时等问题。
解决方法:使用数据库连接池,并且每次操作都从数据库连接池获取数据库操作句柄,操作完关闭连接返回数据库连接池。
*连接数据库需要设置charset = 'utf8', use_unicode = True,不然会报中文乱码问题
*网上说解决python多线程并发操作数据库问题,连接时使用self.conn.ping(True)(检查并保持长连接),但是我这边亲测无法解决,建议还是使用数据库连接池
python多线程代码:
import threading
class MyThread(threading.Thread):
def __init__(self, name, count, exec_object):
threading.Thread.__init__(self)
self.name = name
self.count = count
self.exec_object = exec_object
def run(self):
while self.count >= 0:
count = count - 1
self.exec_object.execFunc(count)
thread1 = MyThread('MyThread1', 3, ExecObject())
thread2 = MyThread('MyThread2', 5, ExecObject())
thread1.start()
thread2.start()
thread1.join() # join方法 执行完thread1的方法才继续主线程
thread2.join() # join方法 执行完thread2的方法才继续主线程
# 执行顺序 并发执行thread1 thread2,thread1和thread2执行完成才继续执行主线程
# ExecObject类是自定义数据库操作的业务逻辑类
#
########join方法详解########
thread1 = MyThread('MyThread1', 3, ExecObject())
thread2 = MyThread('MyThread2', 5, ExecObject())
thread1.start()
thread1.join() # join方法 执行完thread1的方法才继续主线程
thread2.start()
thread2.join() # join方法 执行完thread2的方法才继续主线程
# 执行顺序 先执行thread1,执行完thread1再执行thread2,执行完thread2才继续执行主线程
mysql数据库连接池代码:
import MySQLdb
from DBUtils.PooledDB import PooledDB
class MySQL:
host = 'localhost'
user = 'root'
port = 3306
pasword = ''
db = 'testDB'
charset = 'utf8'
pool = None
limit_count = 3 # 最低预启动数据库连接数量
def __init__(self):
self.pool = PooledDB(MySQLdb, self.limit_count, host = self.host, user = self.user, passwd = self.pasword, db = self.db,
port = self.port, charset = self.charset, use_unicode = True)
def select(self, sql):
conn = self.pool.connection()
cursor = conn.cursor()
cursor.execute(sql)
result = cursor.fetchall()
cursor.close()
conn.close()
return result
def insert(self, table, sql):
conn = self.pool.connection()
cursor = conn.cursor()
try:
cursor.execute(sql)
conn.commit()
return {'result':True, 'id':int(cursor.lastrowid)}
except Exception as err:
conn.rollback()
return {'result':False, 'err':err}
finally:
cursor.close()
conn.close()