auto commit

2021-06-14/daily.md

+# 2021年06月14日运行日报：https://git.sjfx.com.cn/report/daily/blob/master/2021-06-14/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          |6.22%               |53.4%               |56.7%               |http://47.110.9.96:17123/|
+|v3-base-mq001       |3.82%               |67.3%               |52.6%               |http://114.55.171.242:17123/|
+|v3-base-mq002       |4.31%               |69.4%               |31.8%               |http://47.110.226.218:17123/|
+|proxy-local         |4.6%                |32.3%               |35.5%               |http://47.96.14.81:17123/|
+|v3eureka001         |11.4%               |41.7%               |33.5%               |http://47.110.137.241:17123/|
+|v3eureka002         |22.3%               |68.7%               |67.5%               |http://114.55.171.107:17123/|
+|v3-gateway001       |5.26%               |41.6%               |41.1%               |http://47.111.11.230:17123/|
+|v3-gateway002       |5.77%               |40.1%               |39.1%               |http://47.110.14.10:17123/|
+|v3-gateway003       |6.3%                |38.8%               |34.8%               |http://47.110.12.94:17123/|
+|v3-gateway004       |6%                  |39.7%               |33.7%               |http://114.55.169.175:17123/|
+|v3-BS-F001          |16.9%               |51.7%               |26.3%               |http://47.98.220.95:17123/|
+|v3-BS-F002          |24.7%               |**80.5%**           |22.9%               |http://47.111.105.30:17123/|
+|v3-BS-H001          |16.3%               |49.5%               |40.4%               |http://47.111.169.175:17123/|
+|v3-BS-H002          |25.3%               |78.5%               |22.8%               |http://114.55.171.6:17123/|
+|v3-BS-G001          |17.1%               |59.9%               |50.5%               |http://114.55.243.46:17123/|
+|v3-BS-G002          |24.4%               |76.7%               |23%                 |http://47.98.158.5:17123/|
+|v3-BS-I001          |15.9%               |49.1%               |25.3%               |http://114.55.243.77:17123/|
+|v3-BS-I002          |24.7%               |77.9%               |22.8%               |http://114.55.242.246:17123/|
+
+## 数据库情况
+
+### rm-bp1qn4bl8d8p9mnm4
+
+内存使用率： 最小值 36.39%  最大值 36.64%  平均值 0.0254621264767199%
+
+CPU使用率： 最小值 2.66%  最大值 64.83%  平均值 12.4874426685198%
+
+每秒IO请求次数： 最小值 0.03  最大值 2056.02  平均值 111.956900625435
+
+连接数： 最小值 511.93  最大值 524.57  平均值 515.326344683809
+
+活跃连接数： 最小值 0  最大值 3.2  平均值 0.25153578874218
+
+空间使用量： 总使用量;138925.39MB  数据使用量;133547.68MB  日志使用量;1942.4MB  临时使用量;0.03MB  系统使用量:3435.28MB
+
+### rr-bp13k3q7292ce5t6k
+
+内存使用率： 最小值 34%  最大值 34%  平均值 17%
+
+CPU使用率： 最小值 14.7%  最大值 28.42%  平均值 21.56%
+
+每秒IO请求次数： 最小值 897.25  最大值 2512.87  平均值 1705.06
+
+连接数： 最小值 81  最大值 81  平均值 81
+
+活跃连接数： 最小值 0.48  最大值 5.75  平均值 3.115
+
+空间使用量： 总使用量;138099.31MB  数据使用量;132210.58MB  日志使用量;2563.04MB  临时使用量;0.01MB  系统使用量:3325.68MB
+
+### rm-bp1piz35u161jjc92
+
+内存使用率： 最小值 17.82%  最大值 17.82%  平均值 1.98%
+
+CPU使用率： 最小值 77.6%  最大值 95.04%  平均值 85.8455555555556%
+
+每秒IO请求次数： 最小值 3469.3  最大值 6333.88  平均值 4418.36666666667
+
+连接数： 最小值 103  最大值 103  平均值 103
+
+活跃连接数： 最小值 5.5  最大值 9.57  平均值 7.54222222222222
+
+空间使用量： 总使用量;85209.49MB  数据使用量;74003.21MB  日志使用量;5374.53MB  临时使用量;0.01MB  系统使用量:5831.73MB
+
+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	85751696
+
+zk_packets_sent	85926917
+
+zk_num_alive_connections	44
+
+zk_outstanding_requests	0
+
+zk_server_state	leader
+
+zk_znode_count	3892
+
+zk_watch_count	1484
+
+zk_ephemerals_count	2298
+
+zk_approximate_data_size	1309827
+
+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:1.1%
+
+已用内存:365816192Byte
+
+每秒总访问量:198.6
+
+已用连接数:13.2
+键总数:22263.2
+
+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'2021-06-13T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-06-14T15%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'2021-06-06T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-06-14T15%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'2021-06-13T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-06-14T15%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'2021-06-13T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-06-14T15%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'2021-06-13T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-06-14T15%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'2021-06-06T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-06-14T15%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'2021-05-14T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-06-14T15%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'2021-05-14T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-06-14T15%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'2021-06-06T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-06-14T15%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'2021-05-14T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2021-06-14T15%3A59%3A59.999Z')))
+

2021-06-14/rm-bp1piz35u161jjc92slowsql.md

+|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|
+| - | - | - | - | - | - | - | - | - | - | - | - |
+|tag_service|select id , tenant_id , tenant_app_id , user_id , old_label_ids , new_label_ids , is_sync_wx , is_sync_cwx , error_msg , create_time , update_time from member_mark_label_change where ( tenant_app_id = :1 and is_sync_wx = :2 ) order by id asc limit :3|66|10655|188||0|0|485739592|7370865|1255|50|
+|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|21|3061|212||0|0|14488486|1047124|4176|407|
+|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|20|2678|220||0|0|13623712|1046996|9614|681|
+|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|18|2643|243||0|0|12808318|1046968|3170|329|
+|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|13|1973|231||0|0|9925604|1046484|655|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|12|1839|234||0|0|8772526|1047032|6040|680|
+|tag_service|select t1.id , t1.tenant_id as tenantid , t1.tenant_app_id as tenantappid , ifnull ( t2.shop_id , ifnull ( t1.shop_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 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 where t1.id >= :1 and t1.id <= :2 limit :3 offset :4|4|434|119||0|0|1759661|469661|19887|5000|
+|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|1|110|110||0|0|356862|356862|26|26|
+|statistic|delete from statistic.batch_job_execution_params where job_execution_id <= :1|1|880|880||0|0|4696670|4696670|0|0|
+|statistic|delete from statistic.batch_step_execution where step_execution_id <= :1|1|207|207||0|0|918555|918555|0|0|
+|statistic|delete from statistic.batch_job_execution where job_execution_id <= :1|1|438|438||0|0|1869824|1869824|0|0|
+|tag_service|select t1.id , t1.tenant_id as tenantid , t1.tenant_app_id as tenantappid , ifnull ( t2.shop_id , ifnull ( t1.shop_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_940405107533606912_940487380991799296 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 where t1.id >= :1 and t1.id <= :2 limit :3 offset :4|1|100|100||0|0|640000|640000|5000|5000|

README.md

 # 运行日志
 # 2021-06
 
-[2021-06-01](2021-06-01/daily.md)    [2021-06-02](2021-06-02/daily.md)    [2021-06-03](2021-06-03/daily.md)    [2021-06-08](2021-06-08/daily.md)    [2021-06-10](2021-06-10/daily.md)    
+[2021-06-01](2021-06-01/daily.md)    [2021-06-02](2021-06-02/daily.md)    [2021-06-03](2021-06-03/daily.md)    [2021-06-08](2021-06-08/daily.md)    [2021-06-10](2021-06-10/daily.md)    [2021-06-14](2021-06-14/daily.md)    
 # 2021-05
 
 [2021-05-05](2021-05-05/daily.md)    [2021-05-06](2021-05-06/daily.md)    [2021-05-07](2021-05-07/daily.md)    [2021-05-09](2021-05-09/daily.md)    [2021-05-10](2021-05-10/daily.md)    [2021-05-11](2021-05-11/daily.md)    [2021-05-13](2021-05-13/daily.md)    [2021-05-16](2021-05-16/daily.md)    [2021-05-17](2021-05-17/daily.md)    [2021-05-18](2021-05-18/daily.md)    [2021-05-19](2021-05-19/daily.md)    [2021-05-20](2021-05-20/daily.md)    [2021-05-21](2021-05-21/daily.md)    [2021-05-23](2021-05-23/daily.md)    [2021-05-24](2021-05-24/daily.md)    [2021-05-25](2021-05-25/daily.md)    [2021-05-26](2021-05-26/daily.md)    [2021-05-31](2021-05-31/daily.md)