安裝
pip3 install pymysql
連接、執行sql、關閉(游標)

import pymysql
mysql_connect_dict={
'host':'127.0.0.1',
'port':3306,
'user':'yycenter',
'password':'qwe123',
'db':'testmysql',
'charset':'utf8'
}
# 連接數據庫
# conn = pymysql.connect(**mysql_connect_dict)
# 指定以dict形式返回,默認以元祖形式
conn = pymysql.connect(**mysql_connect_dict,cursorclass=pymysql.cursors.DictCursor)
print(conn)
# 創建游標
cursor = conn.cursor()
# 執行SQL,並返回收影響行數
effect_row = cursor.execute("select * from test1")
print(effect_row) # 6條記錄
# 關閉游標
cursor.close()
# 關閉連接
conn.close()
execute之sql注入
注意:符號--會注釋掉它之后的sql,正確的語法:--后至少有一個任意字符
根本原理:就根據程序的字符串拼接name='%s',我們輸入一個xxx' -- haha,用我們輸入的xxx加'在程序中拼接成一個判斷條件name='xxx' -- haha'
sql='select * from userinfo where name="%s" and password="%s"' %(user,pwd) #注意%s需要加引號 #1、sql注入之:用戶存在,繞過密碼 egon' -- 任意字符 #2、sql注入之:用戶不存在,繞過用戶與密碼 xxx' or 1=1 -- 任意字符

解決方法:
# 原來是我們對sql進行字符串拼接 # sql="select * from userinfo where name='%s' and password='%s'" %(user,pwd) # print(sql) # res=cursor.execute(sql) #改寫為(execute幫我們做字符串拼接,我們無需且一定不能再為%s加引號了) sql="select * from userinfo where name=%s and password=%s" #!!!注意%s需要去掉引號,因為pymysql會自動為我們加上 res=cursor.execute(sql,[user,pwd]) #pymysql模塊自動幫我們解決sql注入的問題,只要我們按照pymysql的規矩來。
增、刪、改
conn = pymysql.connect(**mysql_connect_dict,cursorclass=pymysql.cursors.DictCursor)
print(conn)
# 創建游標
cursor = conn.cursor()
# 執行SQL,並返回收影響行數
effect_row = cursor.execute("select * from test1")
print(effect_row) # 6條記錄
# #執行sql語句
# #part1
sql="insert into test1(name,grade) values('egon',99)"
res=cursor.execute(sql) # 執行sql語句,返回sql影響成功的行數
print(res) # 1
#
# #part2
sql='insert into test1(name,grade) values(%s,%s);'
res=cursor.execute(sql, ("alex",100)) # 執行sql語句,返回sql影響成功的行數
print(res)# 1
#
# # part3
sql = 'insert into test1(name,grade) values(%s,%s);'
res = cursor.executemany(sql,[('egon1',99),('egon2',88),('egon3',77)]) # 執行sql語句,返回sql影響成功的行數
print(res) # 3 執行sql語句,返回sql影響成功的行數
#
conn.commit() # 提交后才發現表中插入記錄成功
# part4
sql = 'update test1 set grade = %s where name= %s;'
res = cursor.execute(sql,(66,'egon')) # 執行sql語句,返回sql影響成功的行數
print(res) # 1 執行sql語句,返回sql影響成功的行數
conn.commit() # 提交后才發現表中插入記錄成功
# part5
sql = 'delete from test1 where name= %s;'
res = cursor.execute(sql,('egon2')) # 執行sql語句,返回sql影響成功的行數
print(res) # 1 執行sql語句,返回sql影響成功的行數
conn.commit() # 提交后才發現表中插入記錄成功
# 關閉游標
cursor.close()
# 關閉連接
conn.close()
查詢
# 指定以dict形式返回,默認以元祖形式
conn = pymysql.connect(**mysql_connect_dict,cursorclass=pymysql.cursors.DictCursor)
print(conn)
# 創建游標
cursor = conn.cursor()
# 執行SQL,並返回收影響行數
effect_row = cursor.execute("select * from test1")
print(effect_row) #
res1=cursor.fetchone() # 獲取剩余結果的第一行數據
res2=cursor.fetchmany(2) # 獲取剩余結果前n行數據
res3=cursor.fetchall() # 獲取剩余結果所有數據
print(res1)
#{'id': 1, 'name': 'aa', 'grade': 99}
print(res2)
#[{'id': 2, 'name': 'bb', 'grade': 55}, {'id': 3, 'name': 'cc', 'grade': 88}]
print(res3)
# [{'id': 9, 'name': 'y', 'grade': 44}, {'id': 10, 'name': 'y', 'grade': 99}, {'id': 11, 'name': 'y', 'grade': 55}]
res4=cursor.fetchall() # 獲取剩余結果所有數據
print(res4) # 空,數據已經取完
# 在fetch數據時按照順序進行,可以使用cursor.scroll(num,mode)來移動游標位置
cursor.scroll(0, mode='absolute') # 相對絕對位置移動
res5=cursor.fetchmany(2) # 獲取剩余結果前2行數據
print(res5)
# [{'id': 1, 'name': 'aa', 'grade': 99}, {'id': 2, 'name': 'bb', 'grade': 55}]
cursor.scroll(2, mode='relative') # 相對當前位置移動2條記錄,總記錄數還剩下2條
res6=cursor.fetchall() # 獲取剩余結果所有數據
print(res6)
# [{'id': 10, 'name': 'y', 'grade': 99}, {'id': 11, 'name': 'y', 'grade': 55}]
# 關閉游標
cursor.close()
# 關閉連接
conn.close()
獲取新創建數據自增ID
可以獲取到最新自增的ID,也就是最后插入的一條數據ID
# conn = pymysql.connect(**mysql_connect_dict)
# 指定以dict形式返回,默認以元祖形式
conn = pymysql.connect(**mysql_connect_dict,cursorclass=pymysql.cursors.DictCursor)
print(conn)
# 創建游標
cursor = conn.cursor()
# 執行SQL,並返回收影響行數
effect_row = cursor.execute("select * from test1")
sql = 'insert into test1(name,grade) values(%s,%s);'
res = cursor.executemany(sql,[('egon1',99),('egon2',88),('egon3',77)]) # 執行sql語句,返回sql影響成功的行數
print(res) # 3 執行sql語句,返回sql影響成功的行數
conn.commit()
#獲取自增id
new_id = cursor.lastrowid
print(new_id) #31
# 關閉游標
cursor.close()
# 關閉連接
conn.close()

調用存儲過程
調用無參存儲過程
# 指定以dict形式返回,默認以元祖形式
conn = pymysql.connect(**mysql_connect_dict,cursorclass=pymysql.cursors.DictCursor)
print(conn)
# 創建游標
cursor = conn.cursor()
# 執行SQL,並返回收影響行數
effect_row = cursor.execute("select * from test1")
# 無參數存儲過程
cursor.callproc('p1') # 等價於cursor.execute("call p1()")
# create procedure p1()
# BEGIN
# INSERT into test1(name,grade) values('egon4',100);
# commit;
# END
row_1 = cursor.fetchone()
print(row_1)
conn.commit()
# 關閉游標
cursor.close()
# 關閉連接
conn.close()
b、調用有參存儲過程
# 指定以dict形式返回,默認以元祖形式
conn = pymysql.connect(**mysql_connect_dict,cursorclass=pymysql.cursors.DictCursor)
print(conn)
# 創建游標
cursor = conn.cursor()
# 執行SQL,並返回收影響行數
effect_row = cursor.execute("select * from test1")
# 有參數存儲過程
cursor.callproc('p2',args=('egon6',99)) # 等價於cursor.execute("call p1()")
# delimiter //
# CREATE PROCEDURE p2(IN p_in1 VARCHAR(20),IN p_in2 int)
# BEGIN
# INSERT into test1(name,grade) values(p_in1,p_in2);
# commit;
# END //
# delimiter ;
# 獲取執行完存儲的參數,參數@開頭
cursor.execute("select @_p2_0,@_p2_1;") #@p2_0代表第一個參數,@p2_1代表第二個參數,即返回值
row_1 = cursor.fetchone()
print(row_1) # '@_p2_0': 'egon6', '@_p2_1': 99}
conn.commit()
# 關閉游標
cursor.close()
# 關閉連接
conn.close()
使用with簡化連接過程
每次都連接關閉很麻煩,使用上下文管理,簡化連接過程
import pymysql
import contextlib
# 定義上下文管理器,連接后自動關閉連接
@contextlib.contextmanager
def mysql():
mysql_connect_dict={
'host':'127.0.0.1',
'port':3306,
'user':'yycenter',
'password':'qwe123',
'db':'testmysql',
'charset':'utf8'
}
# 連接數據庫
# conn = pymysql.connect(**mysql_connect_dict)
# 指定以dict形式返回,默認以元祖形式
conn = pymysql.connect(**mysql_connect_dict,cursorclass=pymysql.cursors.DictCursor)
print(conn)
cursor = conn.cursor(cursor=pymysql.cursors.DictCursor)
try:
yield cursor
finally:
conn.commit()
cursor.close()
conn.close()
# 執行sql
with mysql() as cursor:
print(cursor)
row_count = cursor.execute("select * from test1")
row_1 = cursor.fetchone()
print (row_count, row_1) # 8 {'id': 1, 'name': 'aa', 'grade': 99}
使用POOLDB連接mysql
import pymysql
from DBUtils.PooledDB import PooledDB
from utils.mylog_set import mylog
from utils.time_tool import run_time
from conf import settings
def escape_quotes(val):
'轉換單引號和雙引號'
if isinstance(val, str):
return val.replace("'", "\\\'")
return val
def stitch_sequence(seq=None, is_field=True, suf=None):
'''
序列拼接方法, 用於將序列拼接成字符串
- :seq: 拼接序列
- :suf: 拼接后綴(默認使用 ",")
- :is_field: 是否為數據庫字段序列
'''
if seq is None:
raise Exception("Parameter seq is None")
suf = suf or ","
res = str()
for item in seq:
res += '`%s`%s' % (item, suf) if is_field else '%s%s' % (item, suf)
return res[:-len(suf)]
class MysqlUtil(object):
"""
簡便的數據庫操作
初始化參數如下:
- :creator: 創建連接對象(默認: pymysql)
- :host: 連接數據庫主機地址(默認: localhost)
- :port: 連接數據庫端口(默認: 3306)
- :user: 連接數據庫用戶名(默認: None), 如果為空,則會拋異常
- :password: 連接數據庫密碼(默認: None), 如果為空,則會拋異常
- :database: 連接數據庫(默認: None), 如果為空,則會拋異常
- :chatset: 編碼(默認: utf8)
初始化該數據庫下所有表的信息
"""
def __init__(self, creator=pymysql, host=settings.mysqldb.get("host"), port=3306, user=settings.mysqldb.get("user"), password=settings.mysqldb.get("password"),
database=settings.mysqldb.get("database"), charset="utf8"):
if host is None:
raise ValueError("Parameter [host] is None.")
if port is None:
raise ValueError("Parameter [port] is None.")
if user is None:
raise ValueError("Parameter [user] is None.")
if password is None:
raise ValueError("Parameter [password] is None.")
if database is None:
raise ValueError("Parameter [database] is None.")
self.logger = mylog
# 執行初始化
self._config = dict({
"creator": creator, "charset": charset, "host": host, "port": port,
"user": user, "password": password, "database": database
})
self._database = database
self._table = None
self._pool = None
self._init_connect()
self._init_params()
def __del__(self):
'重寫類被清除時調用的方法'
if self._cursor:
self._cursor.close()
if self._conn:
self._conn.close()
def commit(self):
# 提交
self._conn.commit()
def rollback(self):
# 回滾
self._conn.rollback()
def _init_connect(self):
'初始化連接'
try:
if self._pool is None:
self._pool = PooledDB(
**self._config,
mincached=5, # 啟動時開啟的閑置連接數量(缺省值 0 以為着開始時不創建連接)
maxcached=20, # 連接池中允許的閑置的最多連接數量(缺省值 0 代表不閑置連接池大小)
maxshared=20, # 共享連接數允許的最大數量(缺省值 0 代表所有連接都是專用的)如果達到了最大數量,被請求為共享的連接將會被共享使用
maxusage=100) # 單個連接的最大允許復用次數(缺省值 0 或 False 代表不限制的復用).當達到最大數時,連接會自動重新連接(關閉和重新打開)
# 獲得連接池
self._conn = self._pool.connection()
# 建立連接
self._cursor = self._conn.cursor(
cursor=pymysql.cursors.DictCursor) # 使用字典方式
self.logger.info("[{0}] 數據庫初始化成功。".format(self._database))
except Exception as e:
self.logger.info.error(e)
@run_time
def execute_query(self, sql=None, args=(), single=False):
'''執行查詢 SQL 語句
- :sql: sql 語句
- :single: 是否查詢單個結果集,默認False
'''
try:
if sql is None:
raise Exception("Parameter sql is None.")
self.logger.debug(
"[{}] SQL >>> [{}] args =[{}]" .format(
self._database, sql, args))
self._cursor.execute(sql, args)
return self._cursor.fetchone() if single else self._cursor.fetchall()
except Exception as e:
self.logger.error(e)
@run_time
def execute_update(self, sql=None, args=()):
'''執行更新 SQL 語句
- :sql: sql 語句
'''
try:
if sql is None:
raise Exception("Parameter sql is None.")
self.logger.debug("[%s] SQL >>> [%s]" % (self._database, sql))
result = self._cursor.execute(sql, args)
return result
except Exception as e:
self.logger.error(e)
self._conn.rollback()
def _init_params(self):
'初始化參數'
self._table_dict = {}
self._information_schema_columns = []
self._table_column_dict_list = {}
self._init_table_dict_list()
self._init_table_column_dict_list()
def _init_information_schema_columns(self):
"查詢 information_schema.`COLUMNS` 中的列"
sql = """ SELECT COLUMN_NAME
FROM information_schema.`COLUMNS`
WHERE TABLE_SCHEMA='information_schema' AND TABLE_NAME='COLUMNS'
"""
result_list = self.execute_query(sql)
# self.logger.debug(result_list)
column_list = [r['COLUMN_NAME'] for r in result_list]
self.logger.debug('column_list:>>> {}.'.format(column_list))
self._information_schema_columns = column_list
def _init_table_dict(self, table_name):
'初始化表'
if not self._information_schema_columns:
self._init_information_schema_columns()
stitch_str = stitch_sequence(self._information_schema_columns)
sql = """ SELECT %s FROM information_schema.`COLUMNS`
WHERE TABLE_SCHEMA='%s' AND TABLE_NAME='%s'
""" % (stitch_str, self._database, table_name)
column_list = self.execute_query(sql)
column_dict = {}
for column in column_list:
column_dict[column["COLUMN_NAME"]] = column
self._table_dict[table_name] = column_dict
def _init_table_dict_list(self):
"初始化表字典對象"
sql = "SELECT TABLE_NAME FROM information_schema.`TABLES` WHERE TABLE_SCHEMA='%s'" % (
self._database)
table_list = self.execute_query(sql)
self._table_dict = {t['TABLE_NAME']: {} for t in table_list}
self.logger.debug('_table_dicts {}'.format(self._table_dict))
for table in [t['TABLE_NAME'] for t in table_list]:
self._init_table_dict(table)
def _init_table_column_dict_list(self):
'''初始化表字段字典列表'''
"""
example:{'test1': ['id', 'name', 'grade']
"""
for table, column_dict in self._table_dict.items():
column_list = [column for column in column_dict.keys()]
self._table_column_dict_list[table] = column_list
self.logger.debug(
"table_dict info: {}".format(
self._table_column_dict_list))
# 根據表自動創建參數字典
def create_params(self, table, args={}):
col_list = self._table_column_dict_list[table]
params = {}
for k in col_list:
if args.__contains__(k):
params[k] = args[k]
return params
def _parse_result(self, result):
'用於解析單個查詢結果,返回字典對象'
if result is None:
return None
obj = {key: value for key, value in zip(self._column_list, result)}
return obj
def _parse_results(self, results):
'用於解析多個查詢結果,返回字典列表對象'
if results is None:
return None
objs = [self._parse_result(result) for result in results]
return objs
def _get_primary_key(self, table_name):
'獲取表對應的主鍵字段'
if self._table_dict.get(table_name) is None:
raise Exception(table_name, "is not exist.")
for column, column_dict in self._table_dict[table_name].items():
if column_dict["COLUMN_KEY"] == "PRI":
return column
def _get_table_column_list(self, table_name=None):
'查詢表的字段列表, 將查詢出來的字段列表存入 __fields 中'
return self._table_column_dict_list[table_name]
def _check_table_name(self, table_name):
'''驗證 table_name 參數'''
if table_name is None:
raise Exception("Parameter [table_name] is None.")
else:
self._table = table_name
self._column_list = self._table_column_dict_list[self._table]
def count(self, table_name=None):
'''統計記錄數'''
self._check_table_name(table_name)
sql = "SELECT count(*) FROM %s" % (self._table)
result = self.execute_query(sql, True)
return result[0]
@run_time
def executemany(self, sql, args):
# 批量執行
try:
self.logger.debug('executemany sql:{}'.format(sql))
return self.cursor.executemany(sql, args)
except Exception as e:
self.close()
raise e
# 執行sql,參數一:table,參數二:查詢列'col1,col2' 參數三:參數字典{'字段1':'值1','字段2':'值2'}
def queryByTable(self, table, col='*', cond_dict={}):
# self.execute(sql, args)
self._check_table_name(table)
cond_dict = self.create_params(table, cond_dict)
cond_stmt = ' and '.join(['%s=%%s' % k for k in cond_dict.keys()])
# del_sql = 'DELETE FROM %(table)s where %(cond_stmt)s'
if not cond_dict:
query_sql = 'select %(col)s FROM %(table)s'
else:
query_sql = 'select %(col)s FROM %(table)s where %(cond_stmt)s'
# 執行sql,參數一:sql
def queryBySql(self, query_sql):
# self.execute(sql, args)
'''驗證 table_name 參數'''
if query_sql is None:
raise Exception("Parameter [query_sql] is None.")
return self.execute_query(query_sql)
def insertByTable(self, table_name=None, obj={}):
'''保存方法
- @param table_name 表名
- @param obj 對象
- @return 影響行數
("test1", {'name': 'x', 'grade': 99}
'''
self._check_table_name(table_name)
if obj is None:
obj = {}
primary_key = self._get_primary_key(self._table)
if primary_key not in obj.keys():
obj[primary_key] = None
stitch_str = stitch_sequence(obj.keys())
# print(stitch_str)
value_list = []
for key, value in obj.items():
if self._table_dict[self._table][key]["COLUMN_KEY"] != "PKI":
value = "null" if value is None else '"%s"' % value
value_list.append(escape_quotes(value))
stitch_value_str = stitch_sequence(value_list, False)
sql = 'INSERT INTO `%s` (%s) VALUES(%s)' % (
self._table, stitch_str, stitch_value_str)
return self.execute_update(sql)
def deleteByTable(self, table_name=None, cond_dict={}):
'''刪除
- @param table_name 表名
- @param cond_dict = {}: #參數二:用於where條件,如 where 字段3=值3 and 字段4=值4,格式{'字段3':'值3','字段4':'值4'}
- @return 影響行數
'''
self._check_table_name(table_name)
cond_dict = self.create_params(table_name, cond_dict)
cond_stmt = ' and '.join(["%s=%%s" % (k) for k in cond_dict.keys()])
# del_sql = 'DELETE FROM %(table)s where %(cond_stmt)s'
if not cond_dict:
del_sql = 'DELETE FROM %(table_name)s'
else:
del_sql = 'DELETE FROM %(table_name)s where %(cond_stmt)s'
return self.execute_update(
del_sql % locals(), tuple(cond_dict.values()))
def updateByTable(self, table, column_dict={}, cond_dict={}):
# 更新,參數一:表名,參數二用於set 字段1=值1,字段2=值2...格式:{'字段1':'值1','字段2':'值2'},
# 參數三:用於where條件,如 where 字段3=值3 and 字段4=值4,格式{'字段3':'值3','字段4':'值4'}
self._check_table_name(table)
column_dict = self.create_params(table, column_dict)
cond_dict = self.create_params(table, cond_dict)
set_stmt = ','.join(['%s=%%s' % k for k in column_dict.keys()])
cond_stmt = ' and '.join(['%s=%%s' % k for k in cond_dict.keys()])
if not cond_dict:
upd_sql = 'UPDATE %(table)s set %(set_stmt)s'
else:
upd_sql = 'UPDATE %(table)s set %(set_stmt)s where %(cond_stmt)s'
args = tuple(column_dict.values()) + tuple(cond_dict.values()) # 合並成1個
return self.execute_update(upd_sql % locals(), args)
class Page(object):
'分頁對象'
def __init__(self, page_num=1, page_size=10, count=False):
'''
Page 初始化方法
- @param page_num 頁碼,默認為1
- @param page_size 頁面大小, 默認為10
- @param count 是否包含 count 查詢
'''
# 當前頁數
self.page_num = page_num if page_num > 0 else 1
# 分頁大小
self.page_size = page_size if page_size > 0 else 10
# 總記錄數
self.total = 0
# 總頁數
self.pages = 1
# 起始行(用於 mysql 分頁查詢)
self.start_row = (self.page_num - 1) * self.page_size
# 結束行(用於 mysql 分頁查詢)
self.end_row = self.start_row + self.page_size
if __name__ == '__main__':
sql1 = MysqlUtil()
