Open-Falcon 监控系统监控 MySQL/Redis/MongoDB 状态监控

时间：2017-03-30 13:04:46 阅读：1417 评论：0 收藏：0 [点我收藏+]

背景：

Open-Falcon 是小米运维部开源的一款互联网企业级监控系统解决方案，具体的安装和使用说明请见官网：http://open-falcon.org/，是一款比较全的监控。而且提供各种API，只需要把数据按照规定给出就能出图，以及报警、集群支持等等。

监控：

1) MySQL 收集信息脚本(mysql_monitor.py)

#!/bin/env python
# -*- encoding: utf-8 -*-

from __future__ import division
import MySQLdb
import datetime
import time
import os
import sys
import fileinput
import requests
import json
import re


class MySQLMonitorInfo():

    def __init__(self,host,port,user,password):
        self.host     = host
        self.port     = port
        self.user     = user
        self.password = password

    def stat_info(self):
        try:
            m = MySQLdb.connect(host=self.host,user=self.user,passwd=self.password,port=self.port,charset=‘utf8‘)
            query = "SHOW GLOBAL STATUS"
            cursor = m.cursor()
            cursor.execute(query)
            Str_string = cursor.fetchall()
            Status_dict = {}
            for Str_key,Str_value in Str_string:
                Status_dict[Str_key] = Str_value
            cursor.close()
            m.close()
            return Status_dict

        except Exception, e:
            print (datetime.datetime.now()).strftime("%Y-%m-%d %H:%M:%S")
            print e
            Status_dict = {}
            return Status_dict 

    def engine_info(self):
        try:
            m = MySQLdb.connect(host=self.host,user=self.user,passwd=self.password,port=self.port,charset=‘utf8‘)
            _engine_regex = re.compile(ur‘(History list length) ([0-9]+\.?[0-9]*)\n‘)
            query = "SHOW ENGINE INNODB STATUS"
            cursor = m.cursor()
            cursor.execute(query)
            Str_string = cursor.fetchone()
            a,b,c = Str_string
            cursor.close()
            m.close()
            return dict(_engine_regex.findall(c))
        except Exception, e:
            print (datetime.datetime.now()).strftime("%Y-%m-%d %H:%M:%S")
            print e
            return dict(History_list_length=0)

if __name__ == ‘__main__‘:

    open_falcon_api = ‘http://192.168.200.86:1988/v1/push‘

    db_list= []
    for line in fileinput.input():
        db_list.append(line.strip())
    for db_info in db_list:
#        host,port,user,password,endpoint,metric = db_info.split(‘,‘)
        host,port,user,password,endpoint = db_info.split(‘,‘)

        timestamp = int(time.time())
        step      = 60
#        tags      = "port=%s" %port
        tags      = ""

        conn = MySQLMonitorInfo(host,int(port),user,password)
        stat_info = conn.stat_info()
        engine_info = conn.engine_info()

        mysql_stat_list = []
        monitor_keys = [
            (‘Com_select‘,‘COUNTER‘),
            (‘Qcache_hits‘,‘COUNTER‘),
            (‘Com_insert‘,‘COUNTER‘),
            (‘Com_update‘,‘COUNTER‘),
            (‘Com_delete‘,‘COUNTER‘),
            (‘Com_replace‘,‘COUNTER‘),
            (‘MySQL_QPS‘,‘COUNTER‘),
            (‘MySQL_TPS‘,‘COUNTER‘),
            (‘ReadWrite_ratio‘,‘GAUGE‘),
            (‘Innodb_buffer_pool_read_requests‘,‘COUNTER‘),
            (‘Innodb_buffer_pool_reads‘,‘COUNTER‘),
            (‘Innodb_buffer_read_hit_ratio‘,‘GAUGE‘),
            (‘Innodb_buffer_pool_pages_flushed‘,‘COUNTER‘),
            (‘Innodb_buffer_pool_pages_free‘,‘GAUGE‘),
            (‘Innodb_buffer_pool_pages_dirty‘,‘GAUGE‘),
            (‘Innodb_buffer_pool_pages_data‘,‘GAUGE‘),
            (‘Bytes_received‘,‘COUNTER‘),
            (‘Bytes_sent‘,‘COUNTER‘),
            (‘Innodb_rows_deleted‘,‘COUNTER‘),
            (‘Innodb_rows_inserted‘,‘COUNTER‘),
            (‘Innodb_rows_read‘,‘COUNTER‘),
            (‘Innodb_rows_updated‘,‘COUNTER‘),
            (‘Innodb_os_log_fsyncs‘,‘COUNTER‘),
            (‘Innodb_os_log_written‘,‘COUNTER‘),
            (‘Created_tmp_disk_tables‘,‘COUNTER‘),
            (‘Created_tmp_tables‘,‘COUNTER‘),
            (‘Connections‘,‘COUNTER‘),
            (‘Innodb_log_waits‘,‘COUNTER‘),
            (‘Slow_queries‘,‘COUNTER‘),
            (‘Binlog_cache_disk_use‘,‘COUNTER‘)
        ]

        for _key,falcon_type in monitor_keys:
            if _key == ‘MySQL_QPS‘:
                _value = int(stat_info.get(‘Com_select‘,0)) + int(stat_info.get(‘Qcache_hits‘,0))
            elif _key == ‘MySQL_TPS‘:
                _value = int(stat_info.get(‘Com_insert‘,0)) + int(stat_info.get(‘Com_update‘,0)) + int(stat_info.get(‘Com_delete‘,0)) + int(stat_info.get(‘Com_replace‘,0))
            elif _key == ‘Innodb_buffer_read_hit_ratio‘:
                try:
                    _value = round((int(stat_info.get(‘Innodb_buffer_pool_read_requests‘,0)) - int(stat_info.get(‘Innodb_buffer_pool_reads‘,0)))/int(stat_info.get(‘Innodb_buffer_pool_read_requests‘,0)) * 100,3)
                except ZeroDivisionError:
                    _value = 0
            elif _key == ‘ReadWrite_ratio‘:
                try:
                    _value = round((int(stat_info.get(‘Com_select‘,0)) + int(stat_info.get(‘Qcache_hits‘,0)))/(int(stat_info.get(‘Com_insert‘,0)) + int(stat_info.get(‘Com_update‘,0)) + int(stat_info.get(‘Com_delete‘,0)) + int(stat_info.get(‘Com_replace‘,0))),2)
                except ZeroDivisionError:
                    _value = 0            
            else:
                _value = int(stat_info.get(_key,0))

            falcon_format = {
                    ‘Metric‘: ‘%s‘ % (_key),
                    ‘Endpoint‘: endpoint,
                    ‘Timestamp‘: timestamp,
                    ‘Step‘: step,
                    ‘Value‘: _value,
                    ‘CounterType‘: falcon_type,
                    ‘TAGS‘: tags
                }
            mysql_stat_list.append(falcon_format)

        #_key : History list length
        for _key,_value in  engine_info.items():
            _key = "Undo_Log_Length"
            falcon_format = {
                    ‘Metric‘: ‘%s‘ % (_key),
                    ‘Endpoint‘: endpoint,
                    ‘Timestamp‘: timestamp,
                    ‘Step‘: step,
                    ‘Value‘: int(_value),
                    ‘CounterType‘: "GAUGE",
                    ‘TAGS‘: tags
                }
            mysql_stat_list.append(falcon_format)

        print json.dumps(mysql_stat_list,sort_keys=True,indent=4)
        requests.post(open_falcon_api, data=json.dumps(mysql_stat_list))

指标说明：收集指标里的COUNTER表示每秒执行次数，GAUGE表示直接输出值。

指标	类型	说明
Undo_Log_Length	GAUGE	未清除的Undo事务数
Com_select	COUNTER	select/秒=QPS
Com_insert	COUNTER	insert/秒
Com_update	COUNTER	update/秒
Com_delete	COUNTER	delete/秒
Com_replace	COUNTER	replace/秒
MySQL_QPS	COUNTER	QPS
MySQL_TPS	COUNTER	TPS
ReadWrite_ratio	GAUGE	读写比例
Innodb_buffer_pool_read_requests	COUNTER	innodb buffer pool 读次数/秒
Innodb_buffer_pool_reads	COUNTER	Disk 读次数/秒
Innodb_buffer_read_hit_ratio	GAUGE	innodb buffer pool 命中率
Innodb_buffer_pool_pages_flushed	COUNTER	innodb buffer pool 刷写到磁盘的页数/秒
Innodb_buffer_pool_pages_free	GAUGE	innodb buffer pool 空闲页的数量
Innodb_buffer_pool_pages_dirty	GAUGE	innodb buffer pool 脏页的数量
Innodb_buffer_pool_pages_data	GAUGE	innodb buffer pool 数据页的数量
Bytes_received	COUNTER	接收字节数/秒
Bytes_sent	COUNTER	发送字节数/秒
Innodb_rows_deleted	COUNTER	innodb表删除的行数/秒
Innodb_rows_inserted	COUNTER	innodb表插入的行数/秒
Innodb_rows_read	COUNTER	innodb表读取的行数/秒
Innodb_rows_updated	COUNTER	innodb表更新的行数/秒
Innodb_os_log_fsyncs	COUNTER	Redo Log fsync次数/秒
Innodb_os_log_written	COUNTER	Redo Log 写入的字节数/秒
Created_tmp_disk_tables	COUNTER	创建磁盘临时表的数量/秒
Created_tmp_tables	COUNTER	创建内存临时表的数量/秒
Connections	COUNTER	连接数/秒
Innodb_log_waits	COUNTER	innodb log buffer不足等待的数量/秒
Slow_queries	COUNTER	慢查询数/秒
Binlog_cache_disk_use	COUNTER	Binlog Cache不足的数量/秒

使用说明：读取配置到都数据库列表执行，配置文件格式如下(mysqldb_list.txt)：

IP,Port,User,Password,endpoint

192.168.2.21,3306,root,123,mysql-21:3306
192.168.2.88,3306,root,123,mysql-88:3306

最后执行：

python mysql_monitor.py mysqldb_list.txt

2) Redis 收集信息脚本(redis_monitor.py)

#!/bin/env python
#-*- coding:utf-8 -*-

import json
import time
import re
import redis
import requests
import fileinput
import datetime

class RedisMonitorInfo():

    def __init__(self,host,port,password):
        self.host     = host
        self.port     = port
        self.password = password

    def stat_info(self):
         try:
            r = redis.Redis(host=self.host, port=self.port, password=self.password)
            stat_info = r.info()
            return stat_info
         except Exception, e:
            print (datetime.datetime.now()).strftime("%Y-%m-%d %H:%M:%S")
            print e
            return dict()

    def cmdstat_info(self):
        try:
            r = redis.Redis(host=self.host, port=self.port, password=self.password)
            cmdstat_info = r.info(‘Commandstats‘)
            return cmdstat_info
        except Exception, e:
            print (datetime.datetime.now()).strftime("%Y-%m-%d %H:%M:%S")
            print e
            return dict()

if __name__ == ‘__main__‘:

    open_falcon_api = ‘http://192.168.200.86:1988/v1/push‘

    db_list= []
    for line in fileinput.input():
        db_list.append(line.strip())
    for db_info in db_list:
#        host,port,password,endpoint,metric = db_info.split(‘,‘)
        host,port,password,endpoint = db_info.split(‘,‘)

        timestamp = int(time.time())
        step      = 60
        falcon_type = ‘COUNTER‘
#        tags      = "port=%s" %port
        tags      = ""
    
        conn = RedisMonitorInfo(host,port,password)
    
        #查看各个命令每秒执行次数
        redis_cmdstat_dict = {}
        redis_cmdstat_list = []
        cmdstat_info = conn.cmdstat_info()
        for cmdkey in cmdstat_info:
            redis_cmdstat_dict[cmdkey] = cmdstat_info[cmdkey][‘calls‘]
        for _key,_value in redis_cmdstat_dict.items():
            falcon_format = {
                    ‘Metric‘: ‘%s‘ % (_key),
                    ‘Endpoint‘: endpoint,
                    ‘Timestamp‘: timestamp,
                    ‘Step‘: step,
                    ‘Value‘: int(_value),
                    ‘CounterType‘: falcon_type,
                    ‘TAGS‘: tags
                }
            redis_cmdstat_list.append(falcon_format)
    
        #查看Redis各种状态,根据需要增删监控项,str的值需要转换成int
        redis_stat_list = []
        monitor_keys = [
            (‘connected_clients‘,‘GAUGE‘),
            (‘blocked_clients‘,‘GAUGE‘),
            (‘used_memory‘,‘GAUGE‘),
            (‘used_memory_rss‘,‘GAUGE‘),
            (‘mem_fragmentation_ratio‘,‘GAUGE‘),
            (‘total_commands_processed‘,‘COUNTER‘),
            (‘rejected_connections‘,‘COUNTER‘),
            (‘expired_keys‘,‘COUNTER‘),
            (‘evicted_keys‘,‘COUNTER‘),
            (‘keyspace_hits‘,‘COUNTER‘),
            (‘keyspace_misses‘,‘COUNTER‘),
            (‘keyspace_hit_ratio‘,‘GAUGE‘),
            (‘keys_num‘,‘GAUGE‘),
        ]
        stat_info = conn.stat_info()   
        for _key,falcon_type in monitor_keys:
            #计算命中率
            if _key == ‘keyspace_hit_ratio‘:
                try:
                    _value = round(float(stat_info.get(‘keyspace_hits‘,0))/(int(stat_info.get(‘keyspace_hits‘,0)) + int(stat_info.get(‘keyspace_misses‘,0))),4)*100
                except ZeroDivisionError:
                    _value = 0
            #碎片率是浮点数
            elif _key == ‘mem_fragmentation_ratio‘:
                _value = float(stat_info.get(_key,0))
            #拿到key的数量
            elif _key == ‘keys_num‘:
                _value = 0 
                for i in range(16):
                    _key = ‘db‘+str(i)
                    _num = stat_info.get(_key)
                    if _num:
                        _value += int(_num.get(‘keys‘))
                _key = ‘keys_num‘
            #其他的都采集成counter，int
            else:
                try:
                    _value = int(stat_info[_key])
                except:
                    continue
            falcon_format = {
                    ‘Metric‘: ‘%s‘ % (_key),
                    ‘Endpoint‘: endpoint,
                    ‘Timestamp‘: timestamp,
                    ‘Step‘: step,
                    ‘Value‘: _value,
                    ‘CounterType‘: falcon_type,
                    ‘TAGS‘: tags
                }
            redis_stat_list.append(falcon_format)
    
        load_data = redis_stat_list+redis_cmdstat_list
        print json.dumps(load_data,sort_keys=True,indent=4)
        requests.post(open_falcon_api, data=json.dumps(load_data))

指标说明：收集指标里的COUNTER表示每秒执行次数，GAUGE表示直接输出值。

指标	类型	说明
connected_clients	GAUGE	连接的客户端个数
blocked_clients	GAUGE	被阻塞客户端的数量
used_memory	GAUGE	Redis分配的内存的总量
used_memory_rss	GAUGE	OS分配的内存的总量
mem_fragmentation_ratio	GAUGE	内存碎片率，used_memory_rss/used_memory
total_commands_processed	COUNTER	每秒执行的命令数，比较准确的QPS
rejected_connections	COUNTER	被拒绝的连接数/秒
expired_keys	COUNTER	过期KEY的数量/秒
evicted_keys	COUNTER	被驱逐KEY的数量/秒
keyspace_hits	COUNTER	命中KEY的数量/秒
keyspace_misses	COUNTER	未命中KEY的数量/秒
keyspace_hit_ratio	GAUGE	KEY的命中率
keys_num	GAUGE	KEY的数量
cmd_*	COUNTER	各种名字都执行次数/秒

使用说明：读取配置到都数据库列表执行，配置文件格式如下(redisdb_list.txt)：

IP,Port,Password,endpoint

192.168.1.56,7021,zhoujy,redis-56:7021
192.168.1.55,7021,zhoujy,redis-55:7021

最后执行：

 python redis_monitor.py redisdb_list.txt

3) MongoDB 收集信息脚本(mongodb_monitor.py)

...后续添加

4）其他相关的监控（需要装上agent），比如下面的指标：

告警项	触发条件	备注
load.1min	all(#3)>10	Redis服务器过载，处理能力下降
cpu.idle	all(#3)<10	CPU idle过低，处理能力下降
df.bytes.free.percent	all(#3)<20	磁盘可用空间百分比低于20%，影响从库RDB和AOF持久化
mem.memfree.percent	all(#3)<15	内存剩余低于15%，Redis有OOM killer和使用swap的风险
mem.swapfree.percent	all(#3)<80	使用20% swap,Redis性能下降或OOM风险
net.if.out.bytes	all(#3)>94371840	网络出口流量超90MB,影响Redis响应
net.if.in.bytes	all(#3)>94371840	网络入口流量超90MB,影响Redis响应
disk.io.util	all(#3)>90	磁盘IO可能存负载，影响从库持久化和阻塞写

Open-Falcon 监控系统监控 MySQL/Redis/MongoDB 状态监控

背景：

监控：

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