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

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

 

相关文档:

https://github.com/iambocai/falcon-monit-scripts(redis monitor)

https://github.com/ZhuoRoger/redismon(redis monitor)

 

posted @ 2017-03-30 12:39  jyzhou  阅读(11790)  评论(2编辑  收藏