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通过Python实现对SQL Server 数据文件大小的监控告警功能

【字号: 日期:2022-06-21 15:20:06浏览:5作者:猪猪
1.需求背景

系统程序突然报错,报错信息如下:

The transaction log for database ’@dbname’ is full. To find out why space in the log cannot be reused, see the log_reuse_wait_desc column in sys.databases

此时查看log文件,已达2T。

当时的紧急处理方案是,移除掉镜像,修改数据库恢复模式(由full修改为simple),收缩日志。

为了防止类似问题再次发生,需对log 文件的大小进行监控,当到达阈值后,触发告警。

2.主要基础组件(类)

配置文件qqmssqltest_db_server_conf.ini

同过此配置文件获取DB Server信息、DB信息、UID信息、邮件服务器信息等。

[sqlserver]db_user = XXXXXXdb_pwd = XXXXXXX[sqlserver_qq]db_host = 110.119.120.114db_port = 1433[windows]user = pwd = [mail]host = zheshiceshidemail.qq.comport = 25user = pwd = sender = zhejiushiceshidebuyaodangzhen@qq.com

获取连接串的组件mssql_get_db_connect.py

# -*- coding: utf-8 -*-import sysimport osimport datetimeimport configparserimport pymssql# pip3 install pymssql-2.1.4-cp37-cp37m-win_amd64.whl# pip3 install pymssql -i https://pypi.doubanio.com/simple# 获取连接串信息def mssql_get_db_connect(db_host, db_port): db_host = db_host db_port = db_port db_ps_file = os.path.join(sys.path[0], 'qqmssqltest_db_server_conf.ini') config = configparser.ConfigParser() config.read(db_ps_file, encoding='utf-8') db_user = config.get(’sqlserver’, ’db_user’) db_pwd = config.get(’sqlserver’, ’db_pwd’) conn = pymssql.connect(host=db_host, port=db_port, user=db_user, password=db_pwd, charset='utf8', login_timeout=5, timeout=600, autocommit=True) return conn

执行SQL语句的组件mysql_exec_sql.py

# -*- coding: utf-8 -*-import mysql_get_db_connectdef mysql_exec_dml_sql(db_host, db_port, exec_sql): conn = mysql_get_db_connect.mysql_get_db_connect(db_host, db_port) with conn.cursor() as cursor_db:cursor_db.execute(exec_sql)conn.commit()def mysql_exec_select_sql(db_host, db_port, exec_sql): conn = mysql_get_db_connect.mysql_get_db_connect(db_host, db_port) with conn.cursor() as cursor_db:cursor_db.execute(exec_sql)sql_rst = cursor_db.fetchall() return sql_rstdef mysql_exec_select_sql_include_colnames(db_host, db_port, exec_sql): conn = mysql_get_db_connect.mysql_get_db_connect(db_host, db_port) with conn.cursor() as cursor_db:cursor_db.execute(exec_sql)sql_rst = cursor_db.fetchall()col_names = cursor_db.description return sql_rst, col_names

发邮件的功能send_monitor_mail.py

# -*- coding: utf-8 -*-# pip3 install PyEmailimport smtplibfrom email.mime.text import MIMETextimport configparserimport osimport sys# 发送告警邮件def send_monitor_mail(mail_subject, mail_body, mail_receivers='testwukongbaigujing@qq.com'): db_ps_file = os.path.join(sys.path[0], 'qqmssqltest_db_server_conf.ini') config = configparser.ConfigParser() config.read(db_ps_file, encoding='utf-8') mail_host = config.get(’mail’, ’host’) mail_port = config.get(’mail’, ’port’) # mail_user = config.get(’mail’, ’user’) # mail_pwd = config.get(’mail’, ’pwd’) sender = config.get(’mail’, ’sender’) # receivers = config.get(’mail’, ’receivers’) # 发送HTML格式邮件 message = MIMEText(mail_body, ’html’, ’utf-8’) # message = MIMEText(mail_body, ’plain’, ’utf-8’) message[’subject’] = mail_subject message[’From’] = sender message[’To’] = mail_receivers try:smtpObj = smtplib.SMTP()smtpObj.connect(mail_host, mail_port) # 25 为 SMTP 端口号# SMTP AUTH extension not supported by server.# https://github.com/miguelgrinberg/microblog/issues/76# smtpObj.ehlo()# smtpObj.starttls()# smtpObj.login(mail_user, mail_pwd)smtpObj.sendmail(sender, mail_receivers, message.as_string())smtpObj.quit()print('邮件发送成功') except Exception as e:print(e) # except smtplib.SMTPException:# print('Error: 无法发送邮件')3.主要功能代码

收集到的DB数据文件的信息保存到表mssql_dblogsize中,其建表的脚本如下:

CREATE TABLE [dbo].[mssql_dblogsize]( [id] [int] IDENTITY(1,1) NOT NULL, [createtime] [datetime] NULL, [vip] [nvarchar](100) NULL, [port] [nvarchar](100) NULL, [Environment] [nvarchar](200) NULL, [Dbname] [varchar](200) NULL, [Logical_Name] [varchar](200) NULL, [Physical_Name] [varchar](1500) NULL, [Size] [bigint] NULL,PRIMARY KEY CLUSTERED ( [id] ASC)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]) ON [PRIMARY]GOALTER TABLE [dbo].[mssql_dblogsize] ADD DEFAULT (getdate()) FOR [createtime]GO

为了方便对表mssql_dblogsize的数据进行管理和展示,在其基础上抽象加工出了一个视图v_mssql_dblogsize,注意Size大小的转换(Size/128/1024 as SizeGB)

创建视图的脚本如下:

CREATE view [dbo].[v_mssql_dblogsize]as SELECT [id] ,[createtime] ,[vip] ,[port] ,[Environment] ,[Dbname] ,[Logical_Name] ,[Physical_Name] ,Size/128/1024 as SizeGB FROM [dbo].[mssql_dblogsize] where size >50*128*1024and Physical_Name like ’%ldf%’GO

本测试实例使用的数据库为qqDB,监控的各个DB Server保存在了表QQDBServer中,注意Port 不一定为标准端口1433.

collect_mssql_dblogsize_info.py

# -*- coding: utf-8 -*-import sysimport osimport configparserimport pymssqlimport mssql_get_db_connectimport mssql_exec_sqlfrom datetime import datetimedef collect_mssql_dblogsize_info(): db_ps_file = os.path.join(sys.path[0], 'qqmssqltest_db_server_conf.ini') config = configparser.ConfigParser() config.read(db_ps_file, encoding='utf-8') m_db_host = config.get(’sqlserver_qq’, ’db_host’) m_db_port = config.getint(’sqlserver_qq’, ’db_port’) # 获取需要遍历的DB列表 exec_sql_1 = '''SELECT IP, case Port when ’1444,1433’ then ’1433’ else Port end as Port, EnvironmentFROM qqDB.dbo.QQDBServer where InUse =1 AND ServerType IN (’SQL’) and IP=VIP ; ''' sql_rst_1 = mssql_exec_sql.mssql_exec_select_sql(m_db_host, m_db_port, exec_sql_1) for j in sql_rst_1:db_host_2 = j[0]db_port_2 = j[1]db_Environment = j[2]exec_sql_2 = '''select ’''' + db_host_2 + '''’ as vip, ’''' + db_port_2 + '''’ as port, ’''' + db_Environment + '''’ as Environment,DB_NAME(database_id) AS DatabaseName,Name AS Logical_Name,Physical_Name, size FROM master.sys.master_files;'''try: sql_rst_2 = mssql_exec_sql.mssql_exec_select_sql(db_host_2, db_port_2, exec_sql_2)except Exception as e: print(e)for k in sql_rst_2: exec_sql_3 = ''' insert into qqDB..mssql_dblogsize([vip], [port], [Environment], [Dbname], [Logical_Name], [Physical_Name], [Size]) values(’%s’, ’%s’, ’%s’, ’%s’, ’%s’, ’%s’, ’%s’); ''' conn = mssql_get_db_connect.mssql_get_db_connect(m_db_host, m_db_port) with conn.cursor() as cursor_db: cursor_db.execute(exec_sql_3 % (k[0], k[1], k[2], k[3], k[4], k[5], k[6] )) conn.commit()collect_mssql_dblogsize_info()

告警邮件的功能实现为mssql_alert_dblogsize.py,此份代码的告警阈值设置的为50G,数据来自于视图v_mssql_dblogsize。

# -*- coding: utf-8 -*-import sysimport osimport configparserimport pymssqlimport mssql_get_db_connectimport mssql_exec_sqlimport datetimeimport send_monitor_mailimport pandas as pddef mssql_alert_dblogsize(): mail_subject = 'SQL Server DB Log Size Greater than 50G, please check!!! ' mail_receivers = 'testDBAgrp@qtiantianq.com' db_ps_file = os.path.join(sys.path[0], 'qqmssqltest_db_server_conf.ini') config = configparser.ConfigParser() config.read(db_ps_file, encoding='utf-8') m_db_host = config.get(’sqlserver_qq’, ’db_host’) m_db_port = config.getint(’sqlserver_qq’, ’db_port’) # 获取需要遍历的DB列表 exec_sql_4 = '''SELECT [vip] as IP,[port],[Environment],[Dbname] ,[Logical_Name],[Physical_Name],[SizeGB],[createtime] FROM qqDB.[dbo].[v_mssql_dblogsize] order by VIP,Dbname; ''' sql_rst_4, col_name = mssql_exec_sql.mssql_exec_select_sql_include_colnames(m_db_host, m_db_port, exec_sql_4) # print(sql_rst_4) if len(sql_rst_4):mail_time = datetime.datetime.now().strftime(’%Y-%m-%d %H:%M:%S’)columns = []for i in range(len(col_name)): columns.append(col_name[i][0])df = pd.DataFrame(columns=columns)for i in range(len(sql_rst_4)): df.loc[i] = list(sql_rst_4[i])mail_body = df.to_html(index=False, justify='left').replace(’<th>’, ’<th style = 'color:red; text-align:left; background-color: yellow'>’)mail_html = '<html><body><h4>' + 'Deal All : ' + '<br><h4>' + '以下数据库的db log文件,已大于50G.请及时检查,谢谢! ' + '<br><h4>' + mail_body + '</body></html>'send_monitor_mail.send_monitor_mail(mail_subject=mail_subject, mail_body=mail_html, mail_receivers=mail_receivers)mssql_alert_dblogsize()4.实现

定时任务是通过windows的计划任务来实现的,在此不做过多的叙述。告警邮件的部分截图如下:

通过Python实现对SQL Server 数据文件大小的监控告警功能

5.附录

1.报错定位,判断是不是log文件过大

https://blog.csdn.net/weixin_30785593/article/details/99912405

2.关于为什么数据库log文件过大,我们可以参考以下分享的文章

https://blog.csdn.net/chinadm123/article/details/44941275

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