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
keysnum 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