提交 408150c7 authored 作者: zengzhi's avatar zengzhi

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上级 bc33ff59
# 2021年04月23日运行日报:https://git.sjfx.com.cn/report/daily/blob/master/2021-04-23/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 |5.83% |51.7% |55.4% |http://47.110.9.96:17123/|
|v3-base-mq001 |3.83% |71.8% |51.9% |http://114.55.171.242:17123/|
|v3-base-mq002 |4.74% |72.1% |31.2% |http://47.110.226.218:17123/|
|proxy-local |4.44% |32.1% |35.4% |http://47.96.14.81:17123/|
|v3eureka001 |11.2% |42.7% |33% |http://47.110.137.241:17123/|
|v3eureka002 |22% |66.3% |39.4% |http://114.55.171.107:17123/|
|v3-gateway001 |4.87% |40.9% |43.7% |http://47.111.11.230:17123/|
|v3-gateway002 |5.85% |39.9% |41.7% |http://47.110.14.10:17123/|
|v3-gateway003 |5.96% |37.9% |36.6% |http://47.110.12.94:17123/|
|v3-gateway004 |6.54% |39.1% |36.5% |http://114.55.169.175:17123/|
|v3-BS-F001 |16.9% |51.6% |37.2% |http://47.98.220.95:17123/|
|v3-BS-F002 |23% |**81.5%** |22.7% |http://47.111.105.30:17123/|
|v3-BS-H001 |17.1% |47.2% |39.9% |http://47.111.169.175:17123/|
|v3-BS-H002 |24.8% |79.9% |22.8% |http://114.55.171.6:17123/|
|v3-BS-G001 |15.8% |59.6% |50.7% |http://114.55.243.46:17123/|
|v3-BS-G002 |24.7% |77.2% |24.6% |http://47.98.158.5:17123/|
|v3-BS-I001 |13.7% |47.1% |27.2% |http://114.55.243.77:17123/|
|v3-BS-I002 |24.8% |77.2% |24.2% |http://114.55.242.246:17123/|
## 数据库情况
### rm-bp1qn4bl8d8p9mnm4
内存使用率: 最小值 35.42% 最大值 36.56% 平均值 0.025406532314107%
CPU使用率: 最小值 1.69% 最大值 100% 平均值 12.2649756775539%
每秒IO请求次数: 最小值 3.28 最大值 2892.08 平均值 88.1427171646977
连接数: 最小值 512.02 最大值 560.77 平均值 524.540826963169
活跃连接数: 最小值 0 最大值 3.3 平均值 0.238095899930506
空间使用量: 总使用量;165648.54MB 数据使用量;161086.43MB 日志使用量;675.69MB 临时使用量;0.02MB 系统使用量:3886.4MB
### rr-bp13k3q7292ce5t6k
内存使用率: 最小值 34.44% 最大值 34.44% 平均值 17.22%
CPU使用率: 最小值 2.24% 最大值 4.67% 平均值 3.455%
每秒IO请求次数: 最小值 97.95 最大值 236.61 平均值 167.28
连接数: 最小值 80 最大值 80 平均值 80
活跃连接数: 最小值 0.05 最大值 0.11 平均值 0.08
空间使用量: 总使用量;162961.38MB 数据使用量;158242.97MB 日志使用量;979.73MB 临时使用量;0.01MB 系统使用量:3738.68MB
### rm-bp1piz35u161jjc92
内存使用率: 最小值 20.24% 最大值 20.24% 平均值 2.24888888888889%
CPU使用率: 最小值 38.57% 最大值 87.76% 平均值 75.6911111111111%
每秒IO请求次数: 最小值 2705.73 最大值 3703.78 平均值 3349.92222222222
连接数: 最小值 102.98 最大值 103 平均值 102.997777777778
活跃连接数: 最小值 3.05 最大值 7.67 平均值 6.29777777777778
空间使用量: 总使用量;80461.23MB 数据使用量;68386.61MB 日志使用量;5028.98MB 临时使用量;0.13MB 系统使用量:7045.52MB
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 71002371
zk_packets_sent 71155606
zk_num_alive_connections 44
zk_outstanding_requests 0
zk_server_state leader
zk_znode_count 3854
zk_watch_count 1905
zk_ephemerals_count 2273
zk_approximate_data_size 1295232
zk_open_file_descriptor_count 78
zk_max_file_descriptor_count 1048576
zk_followers 3
zk_synced_followers 3
zk_pending_syncs 0
## Redis情况
Cpu使用率:1.4%
已用内存:322804147.2Byte
每秒总访问量:102.6
已用连接数:11.0
键总数:17303.0
设置过期时间的key数量:0.0
## 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'2021-04-22T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-04-23T15%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'2021-04-15T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-04-23T15%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'2021-04-22T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-04-23T15%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'2021-04-22T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-04-23T15%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'2021-04-22T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-04-23T15%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'2021-04-15T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-04-23T15%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'2021-03-23T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-04-23T15%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'2021-03-23T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-04-23T15%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'2021-04-15T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-04-23T15%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'2021-03-23T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-04-23T15%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|41|5727|277||0|0|27785502|1012074|8108|403|
|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|38|4983|207||0|0|27363628|1011902|6314|278|
|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|37|4822|198||0|0|27037886|1011520|1819|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|36|4947|280||0|0|26001196|1011956|18332|674|
|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|31|3972|180||0|0|22597224|1011956|15955|673|
|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_1060329032291295232_1060329411645128704 la join statistic.member t1 on t1.tenant_app_id = la.tenant_app_id and t1.user_id = la.user_id join statistic.member_extra t2 on t2.id = t1.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.id >= :1 and t1.id <= :2 limit :3 offset :4|2|266|137||0|0|723632|363632|5908|5000|
|statistic|delete from statistic.batch_step_execution where step_execution_id <= :1|1|184|184||0|0|893379|893379|0|0|
|statistic|delete from statistic.batch_job_execution where job_execution_id <= :1|1|335|335||0|0|4256828|4256828|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_891434732540272640_891435946115981312 la join statistic.member t1 on t1.tenant_app_id = la.tenant_app_id and t1.user_id = la.user_id join statistic.member_extra t2 on t2.id = t1.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.id >= :1 and t1.id <= :2 limit :3 offset :4|1|112|112||0|0|320000|320000|5000|5000|
差异被折叠。
# 运行日志 # 运行日志
# 2021-04 # 2021-04
[2021-04-01](2021-04-01/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-05](2021-04-05/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-06](2021-04-06/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-07](2021-04-07/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-08](2021-04-08/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-09](2021-04-09/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-12](2021-04-12/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-13](2021-04-13/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-14](2021-04-14/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-15](2021-04-15/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-18](2021-04-18/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-19](2021-04-19/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-21](2021-04-21/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-22](2021-04-22/daily.md)&ensp;&ensp;&ensp;&ensp; [2021-04-01](2021-04-01/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-05](2021-04-05/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-06](2021-04-06/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-07](2021-04-07/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-08](2021-04-08/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-09](2021-04-09/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-12](2021-04-12/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-13](2021-04-13/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-14](2021-04-14/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-15](2021-04-15/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-18](2021-04-18/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-19](2021-04-19/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-21](2021-04-21/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-22](2021-04-22/daily.md)&ensp;&ensp;&ensp;&ensp;[2021-04-23](2021-04-23/daily.md)&ensp;&ensp;&ensp;&ensp;
# 2021-03 # 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; [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;
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