ProxySQL 监控和统计

很多有价值的统计数据在stats和monitor库中.

admin@127.0.0.1 [(none)]>SHOW TABLES FROM stats;
+--------------------------------------+
| tables |
+--------------------------------------+
| global_variables |
| stats_memory_metrics |
| stats_mysql_commands_counters |
| stats_mysql_connection_pool |
| stats_mysql_connection_pool_reset |
| stats_mysql_global |
| stats_mysql_prepared_statements_info |
| stats_mysql_processlist |
| stats_mysql_query_digest |
| stats_mysql_query_digest_reset |
| stats_mysql_query_rules |
| stats_mysql_users |
| stats_proxysql_servers_checksums |
| stats_proxysql_servers_metrics |
| stats_proxysql_servers_status |
+--------------------------------------+
15 rows in set (0.00 sec)
admin@127.0.0.1 [(none)]>show tables from monitor;
+------------------------------------+
| tables |
+------------------------------------+
| mysql_server_connect_log |
| mysql_server_group_replication_log |
| mysql_server_ping_log |
| mysql_server_read_only_log |
| mysql_server_replication_lag_log |
+------------------------------------+
5 rows in set (0.00 sec)
  • 查看后端mysql server的连接情况
admin@127.0.0.1 [(none)]>SELECT * FROM monitor.mysql_server_connect_log ORDER BY time_start_us DESC LIMIT 10;
+----------+------+------------------+-------------------------+---------------+
| hostname | port | time_start_us | connect_success_time_us | connect_error |
+----------+------+------------------+-------------------------+---------------+
| db212 | 3507 | 1535188682629466 | 1516 | NULL |
| db210 | 3507 | 1535188682031063 | 1192 | NULL |
| db211 | 3507 | 1535188681432956 | 2308 | NULL |
| db211 | 3507 | 1535188622982831 | 1132 | NULL |
| db212 | 3507 | 1535188622207688 | 1439 | NULL |
| db210 | 3507 | 1535188621432849 | 1078 | NULL |
| db210 | 3507 | 1535188562867433 | 642 | NULL |
| db212 | 3507 | 1535188562150665 | 1353 | NULL |
| db211 | 3507 | 1535188561432802 | 1362 | NULL |
| db211 | 3507 | 1535188503010756 | 1071 | NULL |
+----------+------+------------------+-------------------------+---------------+
10 rows in set (0.00 sec)
  • 查看后端mysql server的PING情况
admin@127.0.0.1 [(none)]>SELECT * FROM monitor.mysql_server_ping_log ORDER BY time_start_us DESC LIMIT 10;
+----------+------+------------------+----------------------+------------+
| hostname | port | time_start_us | ping_success_time_us | ping_error |
+----------+------+------------------+----------------------+------------+
| db211 | 3507 | 1535188751756034 | 231 | NULL |
| db212 | 3507 | 1535188751635806 | 179 | NULL |
| db210 | 3507 | 1535188751517985 | 209 | NULL |
| db211 | 3507 | 1535188741749812 | 191 | NULL |
| db212 | 3507 | 1535188741632588 | 156 | NULL |
| db210 | 3507 | 1535188741515156 | 71 | NULL |
| db211 | 3507 | 1535188731716039 | 191 | NULL |
| db210 | 3507 | 1535188731615626 | 81 | NULL |
| db212 | 3507 | 1535188731515197 | 265 | NULL |
| db211 | 3507 | 1535188721661829 | 203 | NULL |
+----------+------+------------------+----------------------+------------+
10 rows in set (0.00 sec)
  • 查看执行的命令统计情况
admin@127.0.0.1 [(none)]>SELECT Command,Total_Time_us,Total_cnt,cnt_100us,cnt_1ms,cnt_INFs FROM stats_mysql_commands_counters WHERE Total_cnt;
+---------+---------------+-----------+-----------+---------+----------+
| Command | Total_Time_us | Total_cnt | cnt_100us | cnt_1ms | cnt_INFs |
+---------+---------------+-----------+-----------+---------+----------+
| BEGIN | 22310507194 | 1585457 | 51 | 129945 | 2113 |
| COMMIT | 1060260349 | 826562 | 4233 | 7349 | 0 |
| DELETE | 22825509825 | 1057796 | 8455 | 227783 | 52 |
| INSERT | 179673106152 | 20885757 | 8469 | 129291 | 0 |
| SELECT | 8888256088 | 22149881 | 56184 | 3228537 | 1 |
| UPDATE | 134309337044 | 3174979 | 16886 | 547909 | 320 |
| SHOW | 6485 | 5 | 0 | 1 | 0 |
+---------+---------------+-----------+-----------+---------+----------+
7 rows in set (0.00 sec)
  • 查看执行过的SQL语句统计情况
admin@127.0.0.1 [(none)]>SELECT hostgroup,schemaname,digest,digest_text,count_star,sum_time FROM stats_mysql_query_digest ORDER BY sum_time DESC;
+-----------+--------------------+--------------------+--------------------------------------------------------------------+------------+-------------+
| hostgroup | schemaname | digest | digest_text | count_star | sum_time |
+-----------+--------------------+--------------------+--------------------------------------------------------------------+------------+-------------+
| 10 | sysbench_testdata | 0xD284EA74C062DAA9 | INSERT INTO sbtest2 (id, k, c, pad) VALUES (?, ?, ?, ?) | 10442025 | 89906803469 |
| 10 | sysbench_testdata | 0xE52A0A0210634DAC | INSERT INTO sbtest1 (id, k, c, pad) VALUES (?, ?, ?, ?) | 10443732 | 89766302683 |
| 10 | sysbench_testdata | 0x16ADA60275E5EFAA | UPDATE sbtest2 SET k=k+? WHERE id=? | 794387 | 46930347033 |
| 10 | sysbench_testdata | 0xC198E52BCCB481C7 | UPDATE sbtest1 SET k=k+? WHERE id=? | 793183 | 46790103859 |
| 10 | sysbench_testdata | 0xFAD1519E4760CBDE | BEGIN | 1587889 | 46631879754 |
| 10 | sysbench_testdata | 0xFB239BC95A23CA36 | UPDATE sbtest1 SET c=? WHERE id=? | 794260 | 20383945734 |
| 10 | sysbench_testdata | 0xC2E5FCE49337737D | UPDATE sbtest2 SET c=? WHERE id=? | 793149 | 20204940418 |
| 10 | sysbench_testdata | 0x713A0DB06FCE81E2 | DELETE FROM sbtest2 WHERE id=? | 528677 | 11583020333 |
| 10 | sysbench_testdata | 0xE365BEB555319B9E | DELETE FROM sbtest1 WHERE id=? | 529119 | 11242489492 |
| 11 | sysbench_testdata | 0x9AF59B998A3688ED | SELECT c FROM sbtest2 WHERE id=? | 7907798 | 2336353929 |
| 11 | sysbench_testdata | 0xBF001A0C13781C1D | SELECT c FROM sbtest1 WHERE id=? | 7891798 | 2334872578 |
| 10 | sysbench_testdata | 0x695FBF255DBEB0DD | COMMIT | 826562 | 1060260349 |
| 11 | sysbench_testdata | 0x4AC6CC3E8E66E2A5 | SELECT DISTINCT c FROM sbtest2 WHERE id BETWEEN ? AND ? ORDER BY c | 794166 | 952405491 |
| 11 | sysbench_testdata | 0xC19480748AE79B4B | SELECT DISTINCT c FROM sbtest1 WHERE id BETWEEN ? AND ? ORDER BY c | 793404 | 948846057 |
| 11 | sysbench_testdata | 0xAC80A5EA0101522E | SELECT c FROM sbtest1 WHERE id BETWEEN ? AND ? ORDER BY c | 795040 | 478417319 |
| 11 | sysbench_testdata | 0x2BD5CA9A9C3B517D | SELECT c FROM sbtest2 WHERE id BETWEEN ? AND ? ORDER BY c | 792530 | 475211391 |
| 11 | sysbench_testdata | 0x381AAD21F4326865 | SELECT c FROM sbtest2 WHERE id BETWEEN ? AND ? | 794962 | 361663394 |
| 11 | sysbench_testdata | 0x290B92FD743826DA | SELECT c FROM sbtest1 WHERE id BETWEEN ? AND ? | 792608 | 361139683 |
| 11 | sysbench_testdata | 0xDBF868B2AA296BC5 | SELECT SUM(k) FROM sbtest1 WHERE id BETWEEN ? AND ? | 793851 | 315185628 |
| 11 | sysbench_testdata | 0x106724E15CC958CA | SELECT SUM(k) FROM sbtest2 WHERE id BETWEEN ? AND ? | 793719 | 314158192 |
| 11 | information_schema | 0x26CC5CB63FE90834 | select * from wenyz.t2 | 2 | 10001358 |
| 10 | information_schema | 0x02033E45904D3DF0 | show databases | 5 | 6485 |
| 11 | information_schema | 0x1CA8F88B407B7239 | select * from t2 | 1 | 1068 |
| 10 | information_schema | 0x226CD90D52A2BA0B | select @@version_comment limit ? | 1 | 0 |
| 10 | information_schema | 0x594F2C744B698066 | select USER() | 1 | 0 |
+-----------+--------------------+--------------------+--------------------------------------------------------------------+------------+-------------+
25 rows in set (0.00 sec)

ProxySQL 监控和统计的更多相关文章

  1. 微信小程序监控 - HotApp统计

    HotApp小程序统计,第一个专业的微信第三方小程序监控统计工具 1.什么是HotApp小程序统计 HotApp小程序统计是第一个微信第三方小程序统计工具,就像做android 和 ios开发的人知道 ...

  2. WPF 开源项目 【watcher】 守望者,一款监控,统计,分析你每天在自己电脑上究竟干了什么的软件

    时隔多年(两年),天天沉迷写PHP的我在连续加薪了逐渐发现自己不怎么写代码了. 甚至有一天我发现我连IDE 都没有打开,实在是太堕落了 为了及时悬崖勒马,回头是岸.为了鼓励自己专心写代码,我决定写一款 ...

  3. 使用RPi-Monitor监控、统计Guitar的运行状态

    前言 之前发在ickey社区上的一系列文章: 犹抱琵琶半遮面,无人知是荔枝来--unboxing & interview 一.二.三 葡萄美酒夜光杯,巧妇难为无米炊--资料与社区 一支穿云箭, ...

  4. ProxySQL监控后端节点

    ProxySQL通过Monitor模块监控后端MySQL Server的read_only值来自动调整节点所属的组.所以,在配置读.写组之前,必须先配置好监控. 首先看下Monitor库中的表: ad ...

  5. 整合 MyPerf4J 做Java性能监控和统计工具

    快速启动MyPerf4J MyPerf4J 采用 JavaAgent 配置方式,透明化接入应用,对应用代码完全没有侵入. 打包 项目地址: https://github.com/LinShunKang ...

  6. 自动统计zabbix过去一周监控告警

    # -*- coding:utf-8 -*-import jsonimport requestsimport time,datetimeimport csv,chardetdef getToken(u ...

  7. ProxySQL 配置详解及读写分离(+GTID)等功能说明 (完整篇)

    ProxySQL是灵活强大的MySQL代理层, 是一个能实实在在用在生产环境的MySQL中间件,可以实现读写分离,支持 Query 路由功能,支持动态指定某个 SQL 进行 cache,支持动态加载配 ...

  8. MHA+ProxySQL 读写分离高可用

    文档结构如下: 1.ProxySQL说明 ProxySQL是mysql的一款中间件的产品,是灵活的mysql代理层,可以实现读写分离,支持query路由器的功能,支持动态指定sql进行缓存,支持动态加 ...

  9. MySQL 5.7.27 MGR 单主/多主+ ProxySQL

    1 MySQL 5.7.27 MGR 多主环境 基础信息如下: centos 6.5/vbox 实例名 A B C IP 10.15.7.29 10.15.7.28 10.15.7.27 实例端口号 ...

随机推荐

  1. bzoj3517 翻硬币

    题意 有一个n行n列的棋盘,每个格子上都有一个硬币,且n为偶数.每个硬币要么是正面朝上,要么是反面朝上.每次操作你可以选定一个格子(x,y),然后将第x行和第y列的所有硬币都翻面.求将所有硬币都变成同 ...

  2. 学习Python最好的方法就是实践和教程并行,以下有一些资源和教程,还有一些学习思维导图:

    1.Python 的 14 张思维导图下载地址: https://woaielf.github.io/2017/06/13/python3-all/ 2.Python基础教程|菜鸟教程: http:/ ...

  3. 函数式编程(1)-高阶变成(2)-filter

    filter Python内建的filter()函数用于过滤序列. 和map()类似,filter()也接收一个函数和一个序列.和map()不同的时,filter()把传入的函数依次作用于每个元素,然 ...

  4. 【linux】/dev/null与/dev/zero详解

    引用别人的资源,收藏: http://www.cnblogs.com/xianghang123/archive/2012/03/23/2413381.html

  5. 【数学】【CF27E】 Number With The Given Amount Of Divisors

    传送门 Description 给定一个正整数\(n\),输出最小的整数,满足这个整数有n个因子 Input 一行一个整数\(n\) Output 一行一个整数,代表答案. Hint \(1~\leq ...

  6. CDOJ--1550&&1731

    原题链接:http://acm.uestc.edu.cn/problems.php?vol=15 分析:首先筛出sqrt(2^31-1)以内的素数,对于给定的区间[L,R],仍然用筛素数的思想把那些是 ...

  7. laravel5.1 eloquent with 通过闭包筛选特定 field 得不到结果的问题

    (图片有点大,可右键新tab查看) User模型 class User extends Model { public function profile() { return $this->has ...

  8. Struts2-从值栈中获取数据-EL表达式从值栈获取

    从值栈获取数据 1 使用struts2的标签+ognl表达式获取值栈数据 (1)<s:property value=”ognl表达式”/> 获取字符串

  9. tp价格除以100

    {$vo['money_num']/100} //正确 {$vo.money_num/100} //错误

  10. u3d摄像机截图

    using System; using UnityEngine; using System.Collections; public class TestCamreaCapture1 : MonoBeh ...