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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

2021-10-18 09:48东山絮柳仔 Python

这篇文章主要介绍了通过Python实现对SQL Server 数据文件大小的监控告警,本文给大家分享问题报错信息及解决方案，需要的朋友可以参考下

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。

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

获取连接串的组件mssql_get_db_connect.py

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# -*- coding: utf-8 -*-
 
 
import sys
import os
import datetime
import configparser
import 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

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# -*- coding: utf-8 -*-
 
import mysql_get_db_connect
 
 
def 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_rst
 
def 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

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# -*- coding: utf-8 -*-
 
 
# pip3 install PyEmail
import smtplib
from email.mime.text import MIMEText
import configparser
import os
import 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：

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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]
GO
 
ALTER 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：

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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*1024
and 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

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# -*- coding: utf-8 -*-
 
 
import sys
import os
import configparser
import pymssql
import mssql_get_db_connect
import mssql_exec_sql
from datetime import datetime
 
def 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, Environment
FROM 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。

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# -*- coding: utf-8 -*-
 
 
import sys
import os
import configparser
import pymssql
import mssql_get_db_connect
import mssql_exec_sql
import datetime
import send_monitor_mail
import pandas as pd
 
 
def 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

到此这篇关于通过Python实现对SQL Server 数据文件大小的监控告警的文章就介绍到这了,更多相关PythonSQL Server 数据监控告警内容请搜索服务器之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持服务器之家！

原文链接：https://www.cnblogs.com/xuliuzai/p/14659567.html

  • 数据
  • Python
  • SQL Server
  • 监控告警

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