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通過Python實現對SQL Server 數據文件大小的監控告警功能

瀏覽:3日期:2022-06-21 15:20:06
1.需求背景

系統程序突然報錯,報錯信息如下:

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

此時查看log文件,已達2T。

當時的緊急處理方案是,移除掉鏡像,修改數據庫恢復模式(由full修改為simple),收縮日志。

為了防止類似問題再次發生,需對log 文件的大小進行監控,當到達閾值后,觸發告警。

2.主要基礎組件(類)

配置文件qqmssqltest_db_server_conf.ini

同過此配置文件獲取DB Server信息、DB信息、UID信息、郵件服務器信息等。

[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 = [email protected]

獲取連接串的組件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# 獲取連接串信息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

執行SQL語句的組件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

發郵件的功能send_monitor_mail.py

# -*- coding: utf-8 -*-# pip3 install PyEmailimport smtplibfrom email.mime.text import MIMETextimport configparserimport osimport sys# 發送告警郵件def send_monitor_mail(mail_subject, mail_body, mail_receivers='[email protected]'): 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’) # 發送HTML格式郵件 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 為 SMTP 端口號# 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('郵件發送成功') except Exception as e:print(e) # except smtplib.SMTPException:# print('Error: 無法發送郵件')3.主要功能代碼

收集到的DB數據文件的信息保存到表mssql_dblogsize中,其建表的腳本如下:

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

為了方便對表mssql_dblogsize的數據進行管理和展示,在其基礎上抽象加工出了一個視圖v_mssql_dblogsize,注意Size大小的轉換(Size/128/1024 as SizeGB)

創建視圖的腳本如下:

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

本測試實例使用的數據庫為qqDB,監控的各個DB Server保存在了表QQDBServer中,注意Port 不一定為標準端口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’) # 獲取需要遍歷的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()

告警郵件的功能實現為mssql_alert_dblogsize.py,此份代碼的告警閾值設置的為50G,數據來自于視圖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 = '[email protected]' 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’) # 獲取需要遍歷的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>' + '以下數據庫的db log文件,已大于50G.請及時檢查,謝謝! ' + '<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.實現

定時任務是通過windows的計劃任務來實現的,在此不做過多的敘述。告警郵件的部分截圖如下:

通過Python實現對SQL Server 數據文件大小的監控告警功能

5.附錄

1.報錯定位,判斷是不是log文件過大

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

2.關于為什么數據庫log文件過大,我們可以參考以下分享的文章

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

到此這篇關于通過Python實現對SQL Server 數據文件大小的監控告警的文章就介紹到這了,更多相關PythonSQL Server 數據監控告警內容請搜索好吧啦網以前的文章或繼續瀏覽下面的相關文章希望大家以后多多支持好吧啦網!

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