通过Python收集汇聚MySQL 表信息的实例详解
作者:东山絮柳仔 时间:2024-01-18 17:25:20
一.需求
统计收集各个实例上table的信息,主要是表的记录数及大小。
收集的范围是cmdb中所有的数据库实例。
二.公共基础文件说明
1.配置文件
配置文为db_servers_conf.ini,假设cmdb的DBServer为119.119.119.119,单独存放收集监控数据的DBserver为110.110.110.110. 这两个DB实例的访问用户名一样,定义在了[uid_mysql] 部分,需要去收集的各个DB实例,用到的账号密码是另一个,定义在了[collector_mysql]部分。
[uid_mysql]
dbuid = 用*户*名
dbuid_p_w_d = 相*应*密*码
[cmdb_server]
db_host = 119.119.119.119
db_port = 3306
[dbmonitor_server]
db_host = 110.110.110.110
db_port = 3306
[collector_mysql]
collector = DB*实*例*用*户*名
collector_p_w_d = DB*实*例*密*码
2.定义声明db连接
文件为get_mysql_db_connect.py
# -*- coding: utf-8 -*-
import sys
import os
import configparser
import pymysql
# 获取连接串信息
def mysql_get_db_connect(db_host, db_port):
db_host = db_host
db_port = db_port
db_ps_file = os.path.join(sys.path[0], "db_servers_conf.ini")
config = configparser.ConfigParser()
config.read(db_ps_file, encoding="utf-8")
db_user = config.get('uid_mysql', 'dbuid')
db_pwd = config.get('uid_mysql', 'dbuid_p_w_d')
conn = pymysql.connect(host=db_host, port=db_port, user=db_user, password=db_pwd, connect_timeout=5, read_timeout=5, write_timeout=5)
return conn
# 获取连接串信息
def mysql_get_collectdb_connect(db_host, db_port):
db_host = db_host
db_port = db_port
db_ps_file = os.path.join(sys.path[0], "db_servers_conf.ini")
config = configparser.ConfigParser()
config.read(db_ps_file, encoding="utf-8")
db_user = config.get('collector_mysql', 'collector')
db_pwd = config.get('collector_mysql', 'collector_p_w_d')
conn = pymysql.connect(host=db_host, port=db_port, user=db_user, password=db_pwd, connect_timeout=5, read_timeout=5, write_timeout=5)
return conn
3.定义声明访问db的操作
文件为mysql_exec_sql.py,注意需要导入上面的model。
# -*- coding: utf-8 -*-
import get_mysql_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()
##需要显式关闭
cursor_db.close()
conn.close()
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()
##显式关闭conn
cursor_db.close()
conn.close()
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
三.主要代码
3.1 创建保存数据的脚本
用来保存收集表信息的表:table_info
create table `table_info` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`host_ip` varchar(50) NOT NULL DEFAULT '0',
`port` varchar(10) NOT NULL DEFAULT '3306',
`db_name` varchar(100) NOT NULL DEFAULT '' COMMENT '数据库名字',
`table_name` varchar(100) NOT NULL DEFAULT '' COMMENT '表名字',
`table_rows` bigint NOT NULL DEFAULT 0 COMMENT '表行数',
`table_data_length` bigint,
`table_index_length` bigint,
`table_data_free` bigint,
`table_auto_increment` bigint,
`creator` varchar(50) NOT NULL DEFAULT '',
`create_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`operator` varchar(50) NOT NULL DEFAULT '',
`operate_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8mb4
;
收集过程,如果访问某个实例异常时,将失败的信息保存到表 gather_error_info 中,以便跟踪分析。
create table `gather_error_info` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`app_name` varchar(150) NOT NULL DEFAULT '报错的程序',
`host_ip` varchar(50) NOT NULL DEFAULT '0',
`port` varchar(10) NOT NULL DEFAULT '3306',
`db_name` varchar(60) NOT NULL DEFAULT '0' COMMENT '数据库名字',
`error_msg` varchar(500) NOT NULL DEFAULT '报错的程序',
`status` int(11) NOT NULL DEFAULT '2',
`creator` varchar(50) NOT NULL DEFAULT '',
`create_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`operator` varchar(50) NOT NULL DEFAULT '',
`operate_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8mb4;
3.2 收集的功能脚本
定义收集 DB_info的脚本collect_tables_info.py
# -*- coding: utf-8 -*-
import sys
import os
import datetime
import configparser
import pymysql
import mysql_get_db_connect
import mysql_exec_sql
import mysql_collect_exec_sql
import pandas as pd
def collect_tables_info():
db_ps_file = os.path.join(sys.path[0], "db_servers_conf.ini")
config = configparser.ConfigParser()
config.read(db_ps_file, encoding="utf-8")
cmdb_host = config.get('cmdb_server', 'db_host')
cmdb_port = config.getint('cmdb_server', 'db_port')
monitor_db_host = config.get('dbmonitor_server', 'db_host')
monitor_db_port = config.getint('dbmonitor_server', 'db_port')
# 获取需要遍历的DB列表
exec_sql_1 = """
select vm_ip_address,port,b.vm_host_name,remark
FROM cmdbdb.mysqldb_instance
;
"""
exec_sql_tablesizeinfo = """
select TABLE_SCHEMA,table_name,table_rows,data_length ,index_length,data_free,auto_increment
from information_schema.tables
where TABLE_SCHEMA not in ('mysql','information_schema','performance_schema','sys')
and TABLE_TYPE ='BASE TABLE';
"""
exec_sql_insert_tablesize = " insert into monitordb.table_info (host_ip,port,db_name,table_name,table_rows,table_data_length,table_index_length,table_data_free,table_auto_increment) \
VALUES ('%s', '%s','%s','%s', %s ,%s, %s,%s, %s) ;"
exec_sql_error = " insert into monitordb.gather_db_error (app_name,host_ip,port,error_msg) \
VALUES ('%s', '%s','%s','%s') ;"
sql_rst_1 = mysql_exec_sql.mysql_exec_select_sql(cmdb_host, cmdb_port, exec_sql_1)
if len(sql_rst_1):
for i in range(len(sql_rst_1)):
rw_host = list(sql_rst_1[i])
db_host_ip = rw_host[0]
db_port_s = rw_host[1]
##print(type(rw_host))
###ValueError: port should be of type int
db_port = int(db_port_s)
try:
sql_rst_tablesize = mysql_collect_exec_sql.mysql_exec_select_sql(db_host_ip, db_port, exec_sql_tablesizeinfo)
##print(sql_rst_tablesize)
if len(sql_rst_tablesize):
for i in range(len(sql_rst_tablesize)):
rw_tableinfo = list(sql_rst_tablesize[i])
rw_db_name = rw_tableinfo[0]
rw_table_name = rw_tableinfo[1]
rw_table_rows = rw_tableinfo[2]
rw_data_length = rw_tableinfo[3]
rw_index_length = rw_tableinfo[4]
rw_data_free = rw_tableinfo[5]
rw_auto_increment = rw_tableinfo[6]
##print(rw_auto_increment)
##Python中对变量是否为None的判断
if rw_auto_increment is None:
rw_auto_increment = 0
###一定要有一个exec_sql_insert_table_com,如果是exec_sql_insert_tablesize = exec_sql_insert_tablesize % ( db_host_ip.......
####则提示报错:报错信息是 TypeError: not all arguments converted during string formatting
exec_sql_insert_table_com = exec_sql_insert_tablesize % ( db_host_ip , db_port_s, rw_db_name, rw_table_name , rw_table_rows , rw_data_length , rw_index_length , rw_data_free , rw_auto_increment)
print(exec_sql_insert_table_com)
sql_insert_rst_1 = mysql_exec_sql.mysql_exec_dml_sql(monitor_db_host, monitor_db_port, exec_sql_insert_table_com)
#print(sql_insert_rst_1)
except:
####print('TypeError的错误信息如下:' + str(TypeError))
print(db_host_ip +' '+str(db_port) + '登入异常无法获取table信息,请检查实例和访问账号!')
exec_sql_error_sql = exec_sql_error % ( 'collect_tables_info',db_host_ip , str(db_port),'登入异常,获取table信息失败,请检查实例和访问的账号!!!' )
sql_insert_err_rst_1 = mysql_exec_sql.mysql_exec_dml_sql(monitor_db_host, monitor_db_port, exec_sql_error_sql)
##print(sql_rst_1)
else:
print('查询无结果集')
collect_tables_info()
来源:https://www.cnblogs.com/xuliuzai/archive/2021/10/24/15327808.html
标签:Python,MySQL,表信息
0
投稿
猜你喜欢
使用PHP获取网络文件的实现代码
2023-09-09 08:41:53
Python报错:ModuleNotFoundError的解决办法
2023-02-19 10:53:09
浅析Python字符串索引、切片、格式化
2023-09-26 07:57:20
在Django中实现添加user到group并查看
2021-12-08 21:47:07
百度UEditor编辑器使用教程与使用方法(图文)
2023-03-31 14:07:53
一文了解你不知道的JavaScript闭包篇
2024-02-23 11:37:36
SQL2005 高效分页sql语句
2024-01-17 13:23:22
python调用机器喇叭发出蜂鸣声(Beep)的方法
2022-01-09 15:17:20
Javascript实现数组中的元素上下移动
2024-04-22 22:36:16
PyCharm第一次安装及使用教程
2022-06-21 23:18:00
解决Pycharm下面出现No R interpreter defined的问题
2021-03-03 01:33:28
SqlServer字符截取的具体函数使用
2024-01-13 17:43:00
Pygame的程序开始示例代码
2021-12-20 19:45:01
SQL Server 2000里的数据类型
2011-06-11 14:07:00
python实现切割url得到域名、协议、主机名等各个字段的例子
2022-02-26 11:02:25
python游戏实战项目之俄罗斯方块的魅力
2021-12-07 19:38:23
nodejs 的 session 简单使用
2024-05-11 09:51:19
keras实现VGG16 CIFAR10数据集方式
2023-08-19 08:27:08
PyTorch的深度学习入门教程之构建神经网络
2021-11-21 09:34:22
如何在SQL Server中由原子建立分子查询
2009-01-20 16:01:00