1.直接拿来用
import datetime import pyMysqL from dbutils.pooled_db import PooledDB from conf.env import DATABASE_CONfig class MysqLClient(object): __pool = None def __init__(self, MysqL_config): """ :param mincached:连接池中空闲连接的初始数量 :param maxcached:连接池中空闲连接的最大数量 :param maxshared:共享连接的最大数量 :param maxconnections:创建连接池的最大数量 :param blocking:超过最大连接数量时候的表现,为True等待连接数量下降,为false直接报错处理 :param maxusage:单个连接的最大重复使用次数 :param host:数据库ip地址 :param port:数据库端口 :param database:库名 :param user:用户名 :param password:密码 :param charset:字符编码 """ mincached = 10 maxcached = 20 maxshared = 10 maxconnections = 100 blocking = True host = MysqL_config.get("HOST") port = MysqL_config.get("PORT") database = MysqL_config.get("DATABASE") user = MysqL_config.get("USERNAME") password = MysqL_config.get("PASSWORD") charset = "utf8mb4" if not self.__pool: self.__class__.__pool = PooledDB( pyMysqL, mincached, maxcached, maxshared, maxconnections, blocking, host=host, port=port, database=database, user=user, password=password, charset=charset, cursorclass=pyMysqL.cursors.DictCursor, ) self._conn = None self._cursor = None self.__get_conn() def __del__(self): if self._conn and self._cursor: self.db_close() def __get_conn(self): self._conn = self.__pool.connection() self._cursor = self._conn.cursor() def db_close(self): try: # self._cursor.close() self._conn.close() except Exception as e: raise e def __execute(self, sql, param=()): count = self._cursor.execute(sql, param) return count def __commit(self): """提交""" try: self._conn.commit() except Exception as e: print("__commit sql error:", e) self._conn.rollback() raise e @staticmethod def __dict_datetime_obj_to_str(result_dict): """把字典里面的datetime对象转成字符串,使json转换不出错""" if result_dict: result_replace = { k: v.__str__() for k, v in result_dict.items() if isinstance(v, datetime.datetime) } result_dict.update(result_replace) return result_dict def select_one(self, sql, param=()): """查询单个结果""" self.__execute(sql, param) result = self._cursor.fetchone() if not result: return dict() """:type result:dict""" result = self.__dict_datetime_obj_to_str(result) return result def select_many(self, sql, param=()): """ 查询多个结果 :param sql: qsl语句 :param param: sql参数 :return: 查询结果集 """ self.__execute(sql, param) result = self._cursor.fetchall() """:type result:list""" [self.__dict_datetime_obj_to_str(row_dict) for row_dict in result] return result def execute_count(self, sql, param=()): """返回结果的数量""" count = self.__execute(sql, param) return count def insert(self, sql, param=()): """插入行""" result = self.__execute(sql, param) self.__commit() return result def insert_dict(self, table, data): """通过 dict 插入数据""" # 获取到一个以键且为逗号分隔的字符串,返回一个字符串 keys = ",".join(data.keys()) param = list(data.values()) s_len = ",".join(["%s"] * len(data)) sql = f"""insert into {table}(%s) values(%s)""" insert_sql = sql % (keys, s_len) result = self.__execute(insert_sql, param) self.__commit() return result def update(self, sql, param=()): """更新""" result = self.__execute(sql, param) self.__commit() return result def batch_update(self, sql, param=()): """批量更新""" result = self._cursor.executemany(sql, param) self.__commit() return result def delete(self, sql, param=()): """删除""" result = self.__execute(sql, param) self.__commit() return result if __name__ == "__main__": mc = MysqLClient(DATABASE_CONfig) sql = """UPDATE `bike_ods`.`areafence` SET `enterprise_id`=%s where fence_id=%s """ result = mc.update(sql, ("113322", "809753148240433152")) print(result)View Code
版权声明:本文内容由互联网用户自发贡献,该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 dio@foxmail.com 举报,一经查实,本站将立刻删除。