提交 28f25c92 authored 作者: zengzhi's avatar zengzhi

auto commit

上级 f887815b
# 2021年04月01日运行日报:https://git.sjfx.com.cn/report/daily/blob/master/2021-04-01/daily.md
## 服务器情况
|服务器 |CPU使用率 |内存使用率 |主硬盘使用率 |查看详情 |
| :- | :-: | :-: | :-: | :- |
|v3nginx |- |- |- |http://47.98.156.252:17123/|
|v3-publish |6.16% |52.6% |67.2% |http://47.110.9.96:17123/|
|v3-base-mq001 |3.86% |70.3% |52.3% |http://114.55.171.242:17123/|
|v3-base-mq002 |4.7% |70.7% |30.9% |http://47.110.226.218:17123/|
|proxy-local |4.5% |31.7% |35.1% |http://47.96.14.81:17123/|
|v3eureka001 |11.4% |42.6% |32.7% |http://47.110.137.241:17123/|
|v3eureka002 |24.6% |69.6% |75.6% |http://114.55.171.107:17123/|
|v3-gateway001 |5.16% |41.3% |42.4% |http://47.111.11.230:17123/|
|v3-gateway002 |5.4% |37% |40.4% |http://47.110.14.10:17123/|
|v3-gateway003 |7.81% |38.2% |36.2% |http://47.110.12.94:17123/|
|v3-gateway004 |6.21% |39.3% |35.7% |http://114.55.169.175:17123/|
|v3-BS-F001 |16.9% |52% |35.4% |http://47.98.220.95:17123/|
|v3-BS-F002 |25.5% |78.6% |24.5% |http://47.111.105.30:17123/|
|v3-BS-H001 |15.9% |52.4% |38.5% |http://47.111.169.175:17123/|
|v3-BS-H002 |22.9% |78% |24.6% |http://114.55.171.6:17123/|
|v3-BS-G001 |16.7% |60.3% |48.4% |http://114.55.243.46:17123/|
|v3-BS-G002 |22.9% |77.7% |22.8% |http://47.98.158.5:17123/|
|v3-BS-I001 |14.4% |47.1% |25.9% |http://114.55.243.77:17123/|
|v3-BS-I002 |24.9% |80% |22.3% |http://114.55.242.246:17123/|
## 数据库情况
### rm-bp1qn4bl8d8p9mnm4
内存使用率: 最小值 48.7% 最大值 50.2% 平均值 0.0348853370396108%
CPU使用率: 最小值 2.41% 最大值 100% 平均值 11.7542946490618%
每秒IO请求次数: 最小值 0.03 最大值 3077.57 平均值 92.3596108408617
连接数: 最小值 471 最大值 539.8 平均值 516.816629603892
活跃连接数: 最小值 0 最大值 3.35 平均值 0.244753300903403
空间使用量: 总使用量;162884.25MB 数据使用量;156572.61MB 日志使用量;648.26MB 临时使用量;0.12MB 系统使用量:5663.27MB
### rr-bp13k3q7292ce5t6k
内存使用率: 最小值 34.45% 最大值 34.45% 平均值 17.225%
CPU使用率: 最小值 4.45% 最大值 4.88% 平均值 4.665%
每秒IO请求次数: 最小值 196.5 最大值 362.94 平均值 279.72
连接数: 最小值 80 最大值 80 平均值 80
活跃连接数: 最小值 0.11 最大值 0.12 平均值 0.115
空间使用量: 总使用量;158785.72MB 数据使用量;153895.0MB 日志使用量;1608.44MB 临时使用量;0.01MB 系统使用量:3282.28MB
### rm-bp1piz35u161jjc92
内存使用率: 最小值 20.21% 最大值 20.21% 平均值 2.24555555555556%
CPU使用率: 最小值 85.77% 最大值 93.94% 平均值 91.14%
每秒IO请求次数: 最小值 3284.71 最大值 3568.83 平均值 3411.77444444444
连接数: 最小值 103 最大值 103.02 平均值 103.002222222222
活跃连接数: 最小值 7.97 最大值 8.77 平均值 8.41333333333333
空间使用量: 总使用量;78006.63MB 数据使用量;65708.18MB 日志使用量;5253.51MB 临时使用量;0.13MB 系统使用量:7044.81MB
慢日志:[rm-bp1qn4bl8d8p9mnm4](rm-bp1qn4bl8d8p9mnm4slowsql.md)
慢日志(excel):[rm-bp1qn4bl8d8p9mnm4](rm-bp1qn4bl8d8p9mnm4slowsql.xlsx)
慢日志:[rm-bp1piz35u161jjc92](rm-bp1piz35u161jjc92slowsql.md)
慢日志(excel):[rm-bp1piz35u161jjc92](rm-bp1piz35u161jjc92slowsql.xlsx)
## zookeeper当前情况
zk_version 3.4.12-e5259e437540f349646870ea94dc2658c4e44b3b, built on 03/27/2018 03:55 GMT
zk_avg_latency 0
zk_max_latency 401
zk_min_latency 0
zk_packets_received 65290456
zk_packets_sent 65435479
zk_num_alive_connections 33
zk_outstanding_requests 0
zk_server_state leader
zk_znode_count 3855
zk_watch_count 1175
zk_ephemerals_count 2274
zk_approximate_data_size 1295082
zk_open_file_descriptor_count 67
zk_max_file_descriptor_count 1048576
zk_followers 3
zk_synced_followers 3
zk_pending_syncs 0
## Redis情况
Cpu使用率:2.4%
已用内存:348214484.8Byte
每秒总访问量:130.0
已用连接数:19.8
键总数:18739.8
设置过期时间的key数量:0
## 昨日注册情况
![register2020](register2020.jpg)
[url](http://kibana.sjfx.com.cn/app/kibana#/visualize/edit/30d95f90-881e-11ea-979a-f14794b858f7?embed=true&_g=(refreshInterval%3A(pause%3A!t%2Cvalue%3A0)%2Ctime%3A(from%3A'2021-03-31T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-04-01T15%3A59%3A59.999Z')))
## 7日注册情况
![7register2020](7register2020.jpg)
[url](http://kibana.sjfx.com.cn/app/kibana#/visualize/edit/9915a370-881e-11ea-979a-f14794b858f7?embed=true&_g=(refreshInterval%3A(pause%3A!t%2Cvalue%3A0)%2Ctime%3A(from%3A'2021-03-24T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-04-01T15%3A59%3A59.999Z')))
## 昨日访问情况
![vistpai](vistpai.jpg)
[url](http://kibana.sjfx.com.cn/app/kibana#/visualize/edit/8aee1530-86a7-11e9-b79e-3bd17e684a34?embed=true&_g=(refreshInterval%3A(pause%3A!t%2Cvalue%3A0)%2Ctime%3A(from%3A'2021-03-31T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-04-01T15%3A59%3A59.999Z')))
![visttable](visttable.jpg)
[url](http://kibana.sjfx.com.cn/app/kibana#/visualize/edit/94ad9340-86a5-11e9-b79e-3bd17e684a34?embed=true&_g=(refreshInterval%3A(pause%3A!t%2Cvalue%3A0)%2Ctime%3A(from%3A'2021-03-31T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-04-01T15%3A59%3A59.999Z')))
## 昨日请求数
![reqcount](reqcount.jpg)
[url](http://kibana.sjfx.com.cn/app/kibana#/visualize/edit/35503f30-86a8-11e9-b79e-3bd17e684a34?embed=true&_g=(refreshInterval%3A(pause%3A!t%2Cvalue%3A0)%2Ctime%3A(from%3A'2021-03-31T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-04-01T15%3A59%3A59.999Z')))
## 7日请求数
![7reqcount](7reqcount.jpg)
[url](http://kibana.sjfx.com.cn/app/kibana#/visualize/edit/b810fea0-86a8-11e9-b79e-3bd17e684a34?embed=true&_g=(refreshInterval%3A(pause%3A!t%2Cvalue%3A0)%2Ctime%3A(from%3A'2021-03-24T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-04-01T15%3A59%3A59.999Z')))
## 30日活跃用户
![30dua](30dua.jpg)
[url](http://kibana.sjfx.com.cn/app/kibana#/visualize/edit/f3046fc0-d39a-11ea-9393-a7051f55d459?embed=true&_g=(refreshInterval%3A(pause%3A!t%2Cvalue%3A0)%2Ctime%3A(from%3A'2021-03-01T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-04-01T15%3A59%3A59.999Z')))
## 30日活跃商户
![30dta](30dta.jpg)
[url](http://kibana.sjfx.com.cn/app/kibana#/visualize/edit/1f4c2650-d39a-11ea-9393-a7051f55d459?embed=true&_g=(refreshInterval%3A(pause%3A!t%2Cvalue%3A0)%2Ctime%3A(from%3A'2021-03-01T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-04-01T15%3A59%3A59.999Z')))
## 7日活跃小程序
![7dwxmini](7dwxmini.jpg)
[url](http://kibana.sjfx.com.cn/app/kibana#/visualize/edit/9f6a1380-433c-11eb-9073-096fd13043ce?embed=true&_g=(refreshInterval%3A(pause%3A!t%2Cvalue%3A0)%2Ctime%3A(from%3A'2021-03-24T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-04-01T15%3A59%3A59.999Z')))
## 30日活跃小程序
![30dwxmini](30dwxmini.jpg)
[url](http://kibana.sjfx.com.cn/app/kibana#/visualize/edit/9f6a1380-433c-11eb-9073-096fd13043ce?embed=true&_g=(refreshInterval%3A(pause%3A!t%2Cvalue%3A0)%2Ctime%3A(from%3A'2021-03-01T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-04-01T15%3A59%3A59.999Z')))
|数据库名称|SQL语句|总执行次数|总执行时间(秒)|最大执行时长|平均执行时间|锁定总时长|最大锁定时长|解析总行数|解析最大行数|返回总行数|返回最大行数|
| - | - | - | - | - | - | - | - | - | - | - | - |
|statistic|select mt.tenant_id , mt.tenant_app_id , ifnull ( mt.shop_id , -1 ) shop_id , ifnull ( mt.grade_erp_id , -1 ) grade_erp_id , count ( * ) amount from member mb inner join member_extra mt on mb.id = mt.id where mb.tenant_app_id = :1 and mb.create_time <= :2 and mb.register_flag = :3 group by mt.tenant_id , mt.tenant_app_id , mt.shop_id , mt.grade_erp_id|63|8362|242||0|0|42706020|1000906|11073|401|
|statistic|select mb.tenant_id , mb.tenant_app_id , ifnull ( mt.shop_id , -1 ) shop_id , ifnull ( mb.source_type , 'unknow' ) source_type , count ( * ) amount from member mb inner join member_extra mt on mb.id = mt.id where mb.tenant_app_id = :1 and mb.create_time <= :2 and mb.register_flag = :3 group by mb.tenant_id , mb.tenant_app_id , mt.shop_id , mb.source_type|58|7464|219||0|0|41059168|1000774|8831|277|
|statistic|select mb.tenant_id , mb.tenant_app_id , ifnull ( mt.shop_id , -1 ) shop_id , sum ( if ( mb.subscribe_flag = 1 , 0 , 1 ) ) cancel_amount , sum ( if ( mb.subscribe_flag = 1 , 1 , 0 ) ) subscribe_amount , sum ( if ( mb.bind_flag = 1 , 1 , 0 ) ) bind_amount , sum ( if ( mb.full_flag = 1 , 1 , 0 ) ) full_amount from member mb inner join member_extra mt on mb.id = mt.id where mb.tenant_app_id = :1 and mb.create_time <= :2 and mb.register_flag = :3 group by mb.tenant_id , mb.tenant_app_id , mt.shop_id|57|7531|259||0|0|41215850|1000368|2761|87|
|statistic|select mt.tenant_id , mt.tenant_app_id , ifnull ( mt.shop_id , -1 ) shop_id , ifnull ( mt.employee_user_id , -1 ) employee_user_id , count ( * ) amount from member mb inner join member_extra mt on mb.id = mt.id where mb.tenant_app_id = :1 and mb.create_time <= :2 and mb.register_flag = :3 group by mt.tenant_id , mt.tenant_app_id , mt.shop_id , mt.employee_user_id|57|7322|227||0|0|41069878|1000736|27240|1589|
|statistic|select mb.tenant_id , mb.tenant_app_id , ifnull ( mt.shop_id , -1 ) shop_id , ifnull ( mt.employee_user_id , -1 ) user_id , count ( * ) service_amount , sum ( if ( mb.external_user_id is not null , 1 , 0 ) ) corp_amount , sum ( ifnull ( mt.member_image_flag , 0 ) ) image_amount from statistic.member mb inner join statistic.member_extra mt on mb.id = mt.id where mb.tenant_app_id = :1 and mb.create_time <= :2 and mb.register_flag = :3 group by mb.tenant_id , mb.tenant_app_id , mt.shop_id , mt.employee_user_id|52|7101|284||0|0|37330572|1000690|25272|1589|
|statistic|select oe.employee_id id , oe.employee_name name from result_employee_task t inner join meta_erp_employee oe on t.tenant_app_id = oe.tenant_app_id and t.shop_id = oe.dept_erp_id and t.user_id = oe.employee_erp_id and oe.employee_status = :1 where t.tenant_id = :2 and t.tenant_app_id = :3 and t.shop_id = :4 and t.busi_date between :5 and :6 and oe.shop_id > :7 and oe.employee_id > :8 group by oe.employee_id , oe.employee_name order by oe.employee_name|23|4666|313||0|0|85187179|3703791|407|18|
|statistic|select tenant_id , tenant_app_id , ifnull ( shop_id , -1 ) shop_id , sum ( if ( tenant_app_open_id is null and external_user_id is null , :1 , :2 ) ) normal_amount , sum ( if ( tenant_app_open_id is not null and external_user_id is null , :3 , :4 ) ) app_amount , sum ( if ( external_user_id is not null , :5 , :6 ) ) corp_amount from member where tenant_app_id = :7 and create_time <= :8 and register_flag = :9 group by tenant_id , tenant_app_id , shop_id|7|855|159||0|0|2721522|500102|378|87|
|statistic|select id , timestampdiff ( year , solar_birthday , '2021-04-0100:00:00.0' ) age , '2021-04-0100:59:59.0' update_time from member where tenant_app_id = :1 and birthday_month_day = :2 limit :3 offset :4|2|227|120||0|0|838113|499928|1343|921|
|statistic|delete from statistic.batch_job_execution where job_execution_id <= :1|1|189|189||0|0|1237285|1237285|0|0|
|tag_service|select t1.id , t1.tenant_id as tenantid , t1.tenant_app_id as tenantappid , ifnull ( dept.shop_id , ifnull ( dept.dept_erp_id , 0 ) ) as shopid , ifnull ( t1.user_id , t1.member_user_id ) as userid , ifnull ( t2.employee_user_id , ifnull ( t1.employee_user_id , 0 ) ) as employeeid , ifnull ( t1.age , - 1 ) as age , ifnull ( t1.sex , 0 ) as sex , t1.mobile_no as mobileno , date_format ( t1.birthday , '%y-%m-%d' ) as birthday , ifnull ( t1.birthday_is_lunar , 0 ) as birthdayislunar , t1.birthday_month_day as birthdaymonthday , t1.identity , t1.source_type as sourcetype , ifnull ( t1.subscribe_flag , 0 ) as subscribeflag , ifnull ( t1.register_flag , 1 ) as registerflag , t1.bind_flag as bindflag , t1.full_flag as fullflag , date_format ( t1.memorial_day , '%y-%m-%d' ) as memorialday , t1.memorial_day_is_lunar as memorialdayislunar , t2.grade_erp_id as gradeerpid , t2.sales_balance as salesbalance , t2.sales_amount as salesamount , t2.consumption_integral as consumptionintegral , t2.cumulation , t2.balance , t2.service_amount as serviceamount , ifnull ( t2.registe_time , t1.create_time ) as registetime , t2.first_shop_time as firstshoptime , t2.last_shop_time as lastshoptime , t2.first_sales_time as firstsalestime , t2.last_sales_time as lastsalestime , t2.last_login_time as lastlogintime , t2.last_score_time as lastscoretime , t2.follow_time as followtime , t2.cancel_follow_time as cancelfollowtime , t2.bind_time as bindtime , t2.last_service_time as lastservicetime , t2.category_id as categoryid , t2.last_sale_balance as lastsalebalance , t2.last_stone_weight as laststoneweight , t2.last_gold_weight as lastgoldweight , t2.last_category_id as lastcategoryid , t1.external_user_id as externaluserid , ifnull ( t1.agency_id , 0 ) as agencyid , ifnull ( t1.partner_id , 0 ) as partnerid , ifnull ( la.match_label , 0 ) as matchlabel from tag_service.member_label_match_821229068421742592_821504909596737536 la join statistic.member t1 on la.id = t1.id join statistic.member_extra t2 on t1.id = t2.id left join statistic.meta_erp_dept dept on t2.tenant_app_id = dept.tenant_app_id and t2.shop_id = dept.dept_erp_id where la.id >= :1 and la.id <= :2 limit :3 offset :4|1|103|103||0|0|360000|360000|5000|5000|
|statistic|delete from statistic.batch_step_execution where step_execution_id <= :1|1|289|289||0|0|873994|873994|0|0|
|statistic|delete from statistic.batch_job_execution_params where job_execution_id <= :1|1|507|507||0|0|4349097|4349097|0|0|
差异被折叠。
# 运行日志
# 2021-04
[2021-04-01](2021-04-01/daily.md)&ensp;&ensp;&ensp;&ensp;
# 2021-03
[2021-03-01](2021-03-01/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-02](2021-03-02/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-03](2021-03-03/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-04](2021-03-04/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-07](2021-03-07/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-08](2021-03-08/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-09](2021-03-09/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-10](2021-03-10/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-11](2021-03-11/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-12](2021-03-12/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-14](2021-03-14/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-15](2021-03-15/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-16](2021-03-16/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-17](2021-03-17/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-18](2021-03-18/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-21](2021-03-21/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-22](2021-03-22/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-23](2021-03-23/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-24](2021-03-24/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-25](2021-03-25/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-26](2021-03-26/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-28](2021-03-28/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-29](2021-03-29/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-30](2021-03-30/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-03-31](2021-03-31/daily.md)&ensp;&ensp;&ensp;&ensp;
......
Markdown 格式
0%
您添加了 0 到此讨论。请谨慎行事。
请先完成此评论的编辑!
注册 或者 后发表评论