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# 2021年03月03日运行日报:https://git.sjfx.com.cn/report/daily/blob/master/2021-03-03/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 |7.84% |51.2% |58.6% |http://47.110.9.96:17123/|
|v3-base-mq001 |3.86% |68.6% |50.5% |http://114.55.171.242:17123/|
|v3-base-mq002 |4.23% |67.1% |30.8% |http://47.110.226.218:17123/|
|proxy-local |4.59% |32% |35.1% |http://47.96.14.81:17123/|
|v3eureka001 |11.9% |42.3% |32.6% |http://47.110.137.241:17123/|
|v3eureka002 |19.1% |65.6% |56% |http://114.55.171.107:17123/|
|v3-gateway001 |6.34% |40.9% |41.5% |http://47.111.11.230:17123/|
|v3-gateway002 |5.54% |37% |39.2% |http://47.110.14.10:17123/|
|v3-gateway003 |5.93% |38.2% |35.2% |http://47.110.12.94:17123/|
|v3-gateway004 |7.07% |38.5% |34.7% |http://114.55.169.175:17123/|
|v3-BS-F001 |17% |50.7% |32.6% |http://47.98.220.95:17123/|
|v3-BS-F002 |26.8% |**83.6%** |24.6% |http://47.111.105.30:17123/|
|v3-BS-H001 |15.8% |50.9% |35.8% |http://47.111.169.175:17123/|
|v3-BS-H002 |27.2% |**82.7%** |24.4% |http://114.55.171.6:17123/|
|v3-BS-G001 |20.3% |58.6% |47.6% |http://114.55.243.46:17123/|
|v3-BS-G002 |25.1% |76% |24.5% |http://47.98.158.5:17123/|
|v3-BS-I001 |17.9% |45.8% |26.1% |http://114.55.243.77:17123/|
|v3-BS-I002 |24.8% |76.4% |24.4% |http://114.55.242.246:17123/|
## 数据库情况
### rm-bp1qn4bl8d8p9mnm4
内存使用率: 最小值 48.52% 最大值 49.49% 平均值 0.0343919388464211%
CPU使用率: 最小值 2.35% 最大值 100% 平均值 10.7596316886727%
每秒IO请求次数: 最小值 0.05 最大值 2944.5 平均值 81.7401389854064
连接数: 最小值 512.98 最大值 551.37 平均值 522.20658790827
活跃连接数: 最小值 0 最大值 3.37 平均值 0.222321056289088
空间使用量: 总使用量;155030.1MB 数据使用量;148296.35MB 日志使用量;1079.08MB 临时使用量;0.12MB 系统使用量:5654.56MB
### rr-bp13k3q7292ce5t6k
内存使用率: 最小值 34.38% 最大值 34.39% 平均值 17.195%
CPU使用率: 最小值 4.28% 最大值 5.48% 平均值 4.88%
每秒IO请求次数: 最小值 200.8 最大值 259.42 平均值 230.11
连接数: 最小值 80 最大值 80 平均值 80
活跃连接数: 最小值 0.13 最大值 0.13 平均值 0.13
空间使用量: 总使用量;150451.85MB 数据使用量;145943.63MB 日志使用量;1235.97MB 临时使用量;0.01MB 系统使用量:3272.24MB
### 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 81.46% 最大值 94.19% 平均值 88.4544444444445%
每秒IO请求次数: 最小值 2896.36 最大值 4032.38 平均值 3209.25444444444
连接数: 最小值 123 最大值 123 平均值 123
活跃连接数: 最小值 7.38 最大值 8.55 平均值 8.15111111111111
空间使用量: 总使用量;73929.1MB 数据使用量;60190.81MB 日志使用量;6694.03MB 临时使用量;0.13MB 系统使用量:7044.13MB
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 58700160
zk_packets_sent 58831585
zk_num_alive_connections 37
zk_outstanding_requests 0
zk_server_state leader
zk_znode_count 3900
zk_watch_count 1473
zk_ephemerals_count 2319
zk_approximate_data_size 1315499
zk_open_file_descriptor_count 71
zk_max_file_descriptor_count 1048576
zk_followers 3
zk_synced_followers 3
zk_pending_syncs 0
## Redis情况
Cpu使用率:7.98%
已用内存:328103627.87Byte
每秒总访问量:5598.27
已用连接数:19.35
键总数:22210.85
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'2021-03-02T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-03-03T15%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'2021-02-23T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-03-03T15%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'2021-03-02T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-03-03T15%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'2021-03-02T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-03-03T15%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'2021-03-02T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-03-03T15%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'2021-02-23T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-03-03T15%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'2021-01-31T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-03-03T15%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'2021-01-31T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-03-03T15%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'2021-02-23T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-03-03T15%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'2021-01-31T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-03-03T15%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|84|11409|255||0|0|52162850|983994|14446|399|
|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|78|10205|214||0|0|50252210|983702|49303|1430|
|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|76|9798|211||0|0|48885006|983748|10883|276|
|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|74|9608|235||0|0|48207342|983476|3228|87|
|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|66|8588|217||0|0|44027870|983808|44654|1430|
|tag_service|select t1.user_id , t1.user_name , t1.sex , t1.mobile_no , t1.age , t1.source_type as membersource , t1.subscribe_flag as subscribestatus , t1.full_flag as fullstatus , t2.grade_erp_id as gradeerp , t2.sales_balance as totalconsumemoney , t2.consumption_integral as totalconsumepoint , t2.cumulation as totalpoint , t2.balance as pointbalance , t2.sales_amount as consumenum , t2.follow_time as subscribetime , t2.cancel_follow_time as cancelsubscribetime , date_format ( t1.birthday , '%y-%m-%d' ) as birthday , ifnull ( t1.birthday_is_lunar , 0 ) as birthdayislunar , date_format ( t1.memorial_day , '%y-%m-%d' ) as memorialday , ifnull ( t1.memorial_day_is_lunar , 0 ) as memorialdayislunar , ifnull ( t1.memorial_name , '' ) as memorialname , t2.first_shop_time as firstentershoptime , t2.last_shop_time as lastentershoptime , t2.first_sales_time as firstconsumetime , t2.last_sales_time as latestconsumetime , t2.last_login_time as lastaccesstime , t2.last_service_time as lastservicetime , t2.last_score_time as lastscoretime , t2.registe_time as registertime , t2.category_name as categoryname , ( case when ifnull ( t1.partner_id , 0 ) > 0 then '联盟商家' when ifnull ( t1.agency_id , 0 ) > 0 then '钻石大使' else '会员' end ) as `identity` , ( case when t1.external_user_id is not null and t1.register_flag = :1 then :2 when t1.subscribe_flag = :3 and t1.register_flag = :4 then :5 else :6 end ) as `memberstate` , ifnull ( emp.employee_name , :7 ) as employeename , ifnull ( dept.shop_name , :8 ) as shopname , t1.tenant_app_open_id , t2.service_amount , ifnull ( t3.match_label , :9 ) as labelmatch from statistic.member t1 join statistic.member_extra t2 on t1.id = t2.id left join statistic.meta_erp_employee emp on t2.tenant_app_id = emp.tenant_app_id and t2.shop_id = emp.dept_erp_id and t2.employee_user_id = emp.employee_erp_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 left join tag_service.member_label_match t3 on t3.tenant_id = :10 and t1.tenant_app_id = t3.tenant_app_id and t1.user_id = t3.user_id where t1.tenant_app_id = :11 and t2.tenant_app_id = :12 order by t1.id asc limit :13|53|7057|190||0|0|351306361|7128741|1060|20|
|tag_service|update member_label_match set match_label = :1 where id = :2|25|3532|243||397|51|205784512|8657568|0|0|
|tag_service|select id , tenant_id , tenant_app_id , user_id , match_label , match_label2 from member_label_match where id = :1|3|330|113||0|0|25972520|8657568|3|1|
|statistic|delete from statistic.batch_step_execution where step_execution_id <= :1|1|161|161||0|0|853859|853859|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 statistic.member t1 join statistic.member_extra t2 on t1.id = t2.id left join tag_service.member_label_match la on la.tenant_id = :1 and t1.tenant_app_id = la.tenant_app_id and t1.user_id = la.user_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 t1.tenant_app_id = :2 and t2.tenant_app_id = :3 and t1.id >= :4 and t1.id <= :5 limit :6 offset :7|1|100|100||0|0|365756|365756|1439|1439|
差异被折叠。
# 运行日志
# 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;
[2021-03-01](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;
# 2021-02
[2021-02-01](2021-02-01/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-02-02](2021-02-02/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-02-18](2021-02-18/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-02-19](2021-02-19/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-02-20](2021-02-20/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-02-21](2021-02-21/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-02-22](2021-02-22/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-02-23](2021-02-23/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-02-24](2021-02-24/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-02-25](2021-02-25/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-02-28](2021-02-28/daily.md)&ensp;&ensp;&ensp;&ensp;
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