auto commit

2020-04-23/daily.md

+# 2020年04月23日运行日报：https://git.sjfx.com.cn/report/daily/blob/master/2020-04-23/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          |8.94%               |54.6%               |62%                 |http://47.110.9.96:17123/|
+|v3-base-mq001       |3.71%               |71.8%               |35.6%               |http://114.55.171.242:17123/|
+|v3-base-mq002       |4.11%               |72%                 |26.5%               |http://47.110.226.218:17123/|
+|proxy-local         |2.53%               |65.7%               |23.6%               |http://47.96.14.81:17123/|
+|v3eureka001         |9.01%               |68%                 |28.3%               |http://47.110.137.241:17123/|
+|v3eureka002         |9.33%               |**83.4%**           |38.1%               |http://114.55.171.107:17123/|
+|v3-gateway001       |2.81%               |60.2%               |53.5%               |http://47.111.11.230:17123/|
+|v3-gateway002       |2.13%               |45.1%               |56.3%               |http://47.110.14.10:17123/|
+|v3-gateway003       |2.75%               |78.2%               |51.1%               |http://47.110.12.94:17123/|
+|v3-gateway004       |2.9%                |79.7%               |50.9%               |http://114.55.169.175:17123/|
+|v3-BS-F001          |5.87%               |75.9%               |19.7%               |http://47.98.220.95:17123/|
+|v3-BS-F002          |8.88%               |61.3%               |22.7%               |http://47.111.105.30:17123/|
+|v3-BS-F003          |5.18%               |71.7%               |26.8%               |http://47.111.105.137:17123/|
+|v3-BS-F004          |6.37%               |**81.7%**           |22.6%               |http://47.111.105.218:17123/|
+|v3-BS-H001          |4.98%               |76.6%               |19.7%               |http://47.111.169.175:17123/|
+|v3-BS-H002          |8.61%               |63.1%               |22.7%               |http://114.55.171.6:17123/|
+|v3-BS-H003          |4.8%                |76.1%               |26.8%               |http://47.111.186.205:17123/|
+|v3-BS-H004          |5.89%               |**80.1%**           |22.7%               |http://114.55.209.3:17123/|
+|v3-BS-G001          |6.32%               |77.8%               |19%                 |http://114.55.243.46:17123/|
+|v3-BS-G002          |22.5%               |62.6%               |30.4%               |http://47.98.158.5:17123/|
+|v3-BS-G003          |5.46%               |**84.6%**           |24.3%               |http://47.98.220.48:17123/|
+|v3-BS-G004          |6.09%               |75.5%               |24.2%               |http://47.111.79.177:17123/|
+|v3-BS-I001          |5.12%               |79%                 |21.5%               |http://114.55.243.77:17123/|
+|v3-BS-I002          |22.6%               |64.6%               |30.2%               |http://114.55.242.246:17123/|
+|v3-BS-I003          |5.66%               |**80.8%**           |19.3%               |http://47.110.15.201:17123/|
+|v3-BS-I004          |5.27%               |**81.9%**           |23.9%               |http://114.55.243.68:17123/|
+|v3-tag              |3.14%               |79%                 |23.2%               |http://47.110.13.5:17123/|
+
+## 数据库情况
+
+### rm-bp1qn4bl8d8p9mnm4
+
+内存使用率： 最小值 39%  最大值 39.33%  平均值 0.0273314801945796%
+
+CPU使用率： 最小值 1.08%  最大值 100%  平均值 11.1767616400278%
+
+每秒IO请求次数： 最小值 0  最大值 1818.27  平均值 79.6631271716472
+
+连接数： 最小值 404  最大值 428.47  平均值 414.903787352329
+
+活跃连接数： 最小值 0  最大值 4.5  平均值 0.253196664350241
+
+空间使用量： 总使用量;80281.3MB  数据使用量;74906.21MB  日志使用量;888.45MB  临时使用量;0.06MB  系统使用量:4486.59MB
+
+### rr-bp13k3q7292ce5t6k
+
+内存使用率： 最小值 33.87%  最大值 33.87%  平均值 33.87%
+
+CPU使用率： 最小值 1.49%  最大值 1.49%  平均值 1.49%
+
+每秒IO请求次数： 最小值 25.23  最大值 25.23  平均值 25.23
+
+连接数： 最小值 60  最大值 60  平均值 60
+
+活跃连接数： 最小值 0.01  最大值 0.01  平均值 0.01
+
+空间使用量： 总使用量;79051.77MB  数据使用量;74760.95MB  日志使用量;1142.63MB  临时使用量;0.01MB  系统使用量:3148.19MB
+
+### rm-bp1piz35u161jjc92
+
+内存使用率： 最小值 46.84%  最大值 46.85%  平均值 5.20555555555556%
+
+CPU使用率： 最小值 0.2%  最大值 68.84%  平均值 17.2666666666667%
+
+每秒IO请求次数： 最小值 3.88  最大值 2667.39  平均值 705.106666666667
+
+连接数： 最小值 82.98  最大值 83  平均值 82.9977777777778
+
+活跃连接数： 最小值 0  最大值 5.83  平均值 1.42444444444444
+
+空间使用量： 总使用量;56603.24MB  数据使用量;45972.32MB  日志使用量;4485.94MB  临时使用量;2.15MB  系统使用量:6142.82MB
+
+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	966
+
+zk_min_latency	0
+
+zk_packets_received	90077503
+
+zk_packets_sent	90166347
+
+zk_num_alive_connections	38
+
+zk_outstanding_requests	0
+
+zk_server_state	leader
+
+zk_znode_count	3149
+
+zk_watch_count	816
+
+zk_ephemerals_count	1764
+
+zk_approximate_data_size	997989
+
+zk_open_file_descriptor_count	72
+
+zk_max_file_descriptor_count	1048576
+
+zk_followers	3
+
+zk_synced_followers	3
+
+zk_pending_syncs	0
+
+## Redis情况
+
+Cpu使用率:0.60%
+
+已用内存:113502500.00Byte
+
+每秒总访问量:105.25
+
+已用连接数:1470.58
+键总数:21153.00
+
+设置过期时间的key数量:21146.00
+
+每秒请求次数:63.65    最大每秒请求次数:656.85
+
+每秒回复次数:1360.35    最大每秒回复次数:4233.04
+
+
+## 昨日注册情况
+
+![register](register.jpg)
+
+[url](http://kibana.sjfx.com.cn/app/kibana#/visualize/edit/19697bf0-85e1-11e9-b79e-3bd17e684a34?embed=true&_g=(refreshInterval%3A(pause%3A!t%2Cvalue%3A0)%2Ctime%3A(from%3A'2020-04-22T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2020-04-23T15%3A59%3A59.999Z')))
+
+
+## 7日注册情况
+
+![7register](7register.jpg)
+
+[url](http://kibana.sjfx.com.cn/app/kibana#/visualize/edit/ef3e87a0-86a1-11e9-b79e-3bd17e684a34?embed=true&_g=(refreshInterval%3A(pause%3A!t%2Cvalue%3A0)%2Ctime%3A(from%3A'2020-04-15T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2020-04-23T15%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'2020-04-22T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2020-04-23T15%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'2020-04-22T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2020-04-23T15%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'2020-04-22T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2020-04-23T15%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'2020-04-15T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2020-04-23T15%3A59%3A59.999Z')))
+

2020-04-23/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|
+| - | - | - | - | - | - | - | - | - | - | - | - |

2020-04-23/rm-bp1qn4bl8d8p9mnm4slowsql.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|
+| - | - | - | - | - | - | - | - | - | - | - | - |
+|gift_mail|select count ( 0 ) from ( select p.* , sp.take_type , ifnull ( pp.integral_price , ifnull ( ( select min ( inventory.price ) from inventory where inventory.product_id = p.id ) , :1 ) ) as price , ifnull ( t.quantity , :2 ) quantity , pt.partner_name vendorname , 0.0 distance , c.categroy_name categroy_name , pp.partner_id from product p inner join category c on c.id = p.category_id left outer join self_product sp on p.id = sp.product_id left outer join partner_product pp on p.id = pp.product_id left outer join partner pt on pt.id = pp.partner_id left outer join ( select product_id , sum ( quantity ) quantity from gift_mail.inventory group by product_id ) t on p.id = t.product_id where ( ( p.is_disable is null or p.is_disable = :3 ) ) ) as p where ( p.tenant_id = :4 and p.product_type = :5 )|153|231|2||0|0|2952897|19326|153|1|
+|gift_mail|select * from ( select p.* , sp.take_type , ifnull ( pp.integral_price , ifnull ( ( select min ( inventory.price ) from inventory where inventory.product_id = p.id ) , :1 ) ) as price , ifnull ( t.quantity , :2 ) quantity , pt.partner_name vendorname , 0.0 distance , c.categroy_name categroy_name , pp.partner_id from product p inner join category c on c.id = p.category_id left outer join self_product sp on p.id = sp.product_id left outer join partner_product pp on p.id = pp.product_id left outer join partner pt on pt.id = pp.partner_id left outer join ( select product_id , sum ( quantity ) quantity from gift_mail.inventory group by product_id ) t on p.id = t.product_id where ( ( p.is_disable is null or p.is_disable = :3 ) ) ) as p where ( p.tenant_id = :4 and p.product_type = :5 ) order by p.id desc limit :6|114|169|2||0|0|2202785|19346|2090|20|
+|user_service|select count ( * ) from tenant_user t1 left join user_employee t3 on t1.user_id = t3.user_id and t1.tenant_app_id = t3.tenant_wechatapp_id where t3.id is null and t1.mobile_no is not null and t1.mobile_no != :1 and t1.shop_id = :2 and t1.tenant_app_id = :3|53|270|13||0|0|4430910|179340|53|1|
+|platform|select count ( 1 ) from `salesdetaillog` where `vendorid` = :1 and `noteid` = :2|46|75|3||0|0|1313950|34493|46|1|
+|platform|select `typefullname` , `methodname` , `arguments` , `partition` , `offset` , `createtime` , `updatetime` , `retried` , `errormsg` , `id` from `pushlog` where `typefullname` = :1 and `methodname` = :2 and `arguments` = :3|38|68|4||0|0|9534497|254717|1|1|
+|platform|select `tasktype` , `tasktime` , `taskstatus` , `bid` , `vendorid` , `uid` , `completetime` , `remark` , `createtime` , `id` from `taskassignment` where tasktype = :1 and vendorid = :2 and date_format ( tasktime , :3 ) >= curdate ( ) and ( taskstatus = :4 or taskstatus = :5 )|38|74|4||0|0|28874476|759867|10|4|
+|authorization_service|select id , user_id , tenant_id , tenant_wx_app_id , account_id , login_way , login_code , login_token , roles , status , expire_time , create_time , update_time , login_ip , login_time , login_data , employee_id , shop_id from user_login_token where ( tenant_id = :1 and account_id = :2 and status = :3 )|37|65|3||0|0|9661388|372822|71|2|
+|authorization_service|select id , user_id , tenant_id , tenant_wx_app_id , account_id , login_way , login_code , login_token , roles , status , expire_time , create_time , update_time , login_ip , login_time , login_data , employee_id , shop_id from user_login_token where employee_id = :1 and tenant_id = :2 and tenant_wx_app_id = :3 and shop_id = :4 and login_way = :5 and status = :6|35|79|8||0|0|2572979|141369|35|1|
+|platform|select count ( 1 ) from coupondetail cd where getuid = :1 and ( couponstate = :2 or couponstate = :3 ) and date_format ( expirytime , :4 ) >= curdate ( )|30|65|3||0|0|9666720|322224|30|1|
+|platform|select count ( 1 ) from `integrallog` where `vendorid` = :1 and `changefrom` = :2 and `changeid` = :3|21|29|1||0|0|499180|32633|21|1|
+|gift_mail|select * from ( select p.* , sp.take_type , ifnull ( pp.integral_price , ifnull ( ( select min ( inventory.price ) from inventory where inventory.product_id = p.id ) , :1 ) ) as price , ifnull ( t.quantity , :2 ) quantity , pt.partner_name vendorname , 0.0 distance , c.categroy_name categroy_name , pp.partner_id from product p inner join category c on c.id = p.category_id left outer join self_product sp on p.id = sp.product_id left outer join partner_product pp on p.id = pp.product_id left outer join partner pt on pt.id = pp.partner_id left outer join ( select product_id , sum ( quantity ) quantity from gift_mail.inventory group by product_id ) t on p.id = t.product_id where ( ( p.is_disable is null or p.is_disable = :3 ) ) ) as p where ( p.tenant_id = :4 and p.product_type = :5 ) order by p.id desc limit :6 , :7|20|29|1||0|0|386967|19378|341|20|
+|user_service|select ue.employee_id as employeeid , count ( * ) as quantity from user_service.user_employee ue join user_service.tenant_user tu on ue.tenant_wechatapp_id = tu.tenant_app_id and ue.user_id = tu.user_id where employee_id in ( :1 ) and ue.tenant_wechatapp_id = :2 and tu.shop_id = :3 group by ue.employee_id|17|23|1||0|0|1342972|101754|17|1|
+|facepass_sync|select id , tenant_id , tenant_wechatapp_id , shop_id , status , create_time , update_time , receive_data , response_data from customer_face_sync_message where status = :1 and create_time < date_add ( now ( ) , interval :2 minute ) order by id asc limit :3|15|22|3||0|0|604200|43050|0|0|
+|value_added|select id , template_name as templatename , added_percent_per_day as addedpercentperday , add_days as adddays , keeping_days as keepingdays , devalue_percent_per_day as devaluepercentperday , exchange_days as exchangedays , is_disable as isdisable , effective_days as effectivedays , ifnull ( usenumber , 0 ) as usenumber , generator_method as generatormethod , remark as remark from value_added_template left join ( select template_id , count ( * ) usenumber from value_added_user where tenant_wechatapp_id = :1 group by template_id ) value_added_user on value_added_template.id = value_added_user.template_id where tenant_wechatapp_id = :2 and id = :3|12|18|1||0|0|759579|77252|12|1|
+|warranty_service|select *from warranty_service.warranty where tenant_wechatapp_id = :1 and upload_frequency <= :2 and version = :3 and warranty_img_url is null|11|27|8||0|0|386245|90478|0|0|
+|erp_sync|select * from erp_sync.retry_data where ( need_erp_member_id = :1 or ( need_erp_member_id = :2 and erp_member_id is not null ) ) and retry_times > :3 order by id asc|11|20|3||0|0|1280558|116501|33|3|
+|user_service|select count ( 0 ) from ( select t1.user_id as userid , t2.head_img_url as headimgurl , t2.nick_name as nickname , t1.mobile_no as mobileno , t1.is_subscribe as subscribe , t1.sex , t1.tenant_union_id as tenantunionid , date_format ( t1.bind_time , '%y-%m-%d%h:%i:%s' ) as registertime , t1.id as tenantuserid from tenant_user t1 join `user` t2 on t1.user_id = t2.id left join user_employee t3 on t1.user_id = t3.user_id and t1.tenant_id = t3.tenant_id and t1.tenant_app_id = t3.tenant_wechatapp_id where t3.id is null and t1.mobile_no is not null and t1.mobile_no != :1 and t1.shop_id = :2 and t1.tenant_id = :3 and t1.tenant_app_id = :4 ) table_count|10|17|2||0|0|1075235|184382|10|1|
+|user_service|select count ( * ) from tenant_user where tenant_app_id = :1 and shop_id = :2 and mobile_no is not null and mobile_no != :3|9|50|11||0|0|714577|179302|9|1|
+|employee|select * from backlog where tenant_app_id = :1 and employee_id = :2 and status in ( :3 , :4 ) and shop_id = :5 and scene = :6 and expire_time >= :7 order by create_time desc limit :8|7|21|4||0|0|1145887|191879|29|7|
+|platform|select `noteid` , `vendorid` , `detailindex` , `productname` , `productbarcode` , `category` , `salestype` , `quantity` , `amount` , `integral` , `productdesc` , `slid` , `paidamount` , `id` from `salesdetaillog` where `noteid` = :1 and `vendorid` = :2|7|11|2||0|0|170399|34249|21|4|
+|tenant|select count ( 0 ) from erp_sales join erp_department on erp_sales.dept_erp_id = erp_department.dept_erp_id and erp_sales.tenant_id = erp_department.tenant_id join tenant on erp_sales.tenant_id = tenant.id and tenant.`status` = :1 where :2 = :3 and erp_sales.tenant_id = :4 and erp_sales.sales_no = :5 and erp_sales.employee_name like concat ( :6 , :7 , :8 ) and erp_department.dept_name like concat ( :9 , :10 , :11 )|6|80|15||0|0|31177696|7911335|1|1|
+|wx_gateway|select * from wx_user where user_id = :1 and open_id not like :2 limit :3|6|25|6||0|0|7620873|1764608|6|1|
+|platform|update vendormember vm inner join ( select sum ( integral ) as integral , sum ( if ( integral > 0 , integral , 0 ) ) as hisintegral from integrallog where vendorid = :1 and memberid = :2 and isdeleted = :3 ) s on :4 = :5 set vm.integral = ifnull ( s.integral , :6 ) , vm.hisintegral = ifnull ( s.hisintegral , :7 ) , vm.updatetime = now ( ) where vendorid = :8 and memberid = :9|6|8|2||0|0|117|33|0|0|
+|tenant|select id , sales_no , sales_date , member_erp_id , sales_erp_id , is_sales from erp_sales where sales_no like concat ( :1 , :2 , :3 ) and sales_status = :4 and tenant_id = :5 and tenant_wechatapp_id = :6 order by sales_date desc limit :7|5|13|4||0|0|733975|273609|2|1|
+|coupon_service|select count ( * ) from coupon where ( coupon_state = :1 and user_id = :2 and tenant_app_id = :3 and end_time > :4 )|5|10|2||0|0|378805|102470|5|1|
+|authorization_service|update user_login_token set status = :1 , update_time = now ( ) where employee_id = :2 and tenant_id = :3 and tenant_wx_app_id = :4 and shop_id = :5 and login_way = :6 and status = :7|5|6|1||0|0|535254|118351|0|0|
+|platform|select vm.* from vendormember vm join member m on vm.id = m.vendormemberid and vm.vendorid = m.vendorid where m.employeeid = :1 and vm.vendorid = :2 and ( ( birthdaytype = :3 and month ( birthday ) = month ( date_sub ( curdate ( ) , interval :4 day ) ) and day ( birthday ) = day ( date_sub ( curdate ( ) , interval :5 day ) ) ) or ( birthdaytype = :6 and month ( birthday ) = month ( date_sub ( :7 , interval :8 day ) ) and day ( birthday ) = day ( date_sub ( :9 , interval :10 day ) ) ) )|3|8|4||0|0|97967|62539|68|44|
+|employee|select count ( 0 ) from backlog where tenant_app_id = :1 and employee_id = :2 and status in ( :3 , :4 ) and shop_id = :5 and scene = :6 and expire_time >= :7|3|3|1||0|0|9562|4041|3|1|
+|activity_service|select count ( 0 ) from activity_service.user_trace ut left join activity_service.activity at on ut.activity_id = at.id where ut.step = :1 and ut.status = :2 and ut.activity_id = :3|2|14|10||0|0|2211160|1105580|2|1|
+|user_service|select * from user_employee where employee_erp_id = :1 and tenant_id = :2 and date_format ( update_time , :3 ) = date_format ( now ( ) , :4 )|2|2|1||0|0|2982437|1491225|176|152|
+|authorization_service|update user_login_token set status = :1 where user_id = :2 and tenant_id = :3 and tenant_wx_app_id = :4 and login_way = :5|2|2|1||0|0|639|425|0|0|
+|erp_sync|select * from retry_data where tenant_app_id = :1 and user_id = :2|2|2|1||0|0|20282|10146|3|2|
+|user_service|select count ( 0 ) from tenant_user tenantuser join user_service.user user on tenantuser.user_id = user.id where ( tenantuser.tenant_id = :1 and tenantuser.tenant_app_id = :2 and tenantuser.user_id not in ( :3 ) )|2|10|5||0|0|187324|129880|2|1|
+|comment_service|select *from comment_service.comment_reward where comment_id = :1 limit :2|2|2|1||0|0|155401|77737|2|1|
+|platform|select count ( 1 ) from `smssent` where vendorid = :1 and success = true and date_sub ( date ( :2 ) , interval :3 day ) = date_format ( senttime , :4 )|1|2|2||0|0|66068|66068|1|1|
+|mysql|delete from wx_gateway.wx_template_msg where create_time < date_sub ( now ( ) , interval :1 day )|1|23|23||0|0|904865|904865|0|0|
+|employee|select * from backlog where tenant_app_id = :1 and employee_id = :2 and status in ( :3 , :4 ) and shop_id = :5 and scene in ( :6 , :7 ) and expire_time >= :8 order by create_time desc limit :9|1|3|3||0|0|191879|191879|2|2|
+|employee|update backlog set leave_flag = :1 where tenant_app_id = :2 and employee_id = :3|1|4|4||0|0|191879|191879|0|0|
+|user_service|select tenantuser.* , user.nick_name from tenant_user tenantuser join user_service.user user on tenantuser.user_id = user.id where ( tenantuser.tenant_id = :1 and tenantuser.tenant_app_id = :2 and ( tenantuser.user_name like concat ( :3 , :4 , :5 ) or user.nick_name like concat ( :6 , :7 , :8 ) or tenantuser.mobile_no = :9 ) and tenantuser.user_id not in ( :10 , :11 ) ) order by tenantuser.user_id asc limit :12 , :13|1|1|1||0|0|53608|53608|8|8|
+|employee|select count ( 0 ) from backlog where tenant_app_id = :1 and employee_id = :2 and status in ( :3 , :4 ) and shop_id = :5 and scene in ( :6 , :7 ) and expire_time >= :8|1|1|1||0|0|4775|4775|1|1|
+|platform|select count ( 1 ) from `taskassignment` ta where ta.tasktype = :1 and ( ta.taskstatus = :2 or ta.taskstatus = :3 ) and vendorid = :4 and uid = :5|1|1|1||0|0|759867|759867|1|1|
+|mysql|insert into erp_sync.sync_record_20190924 select * from erp_sync.sync_record where create_time < date_sub ( now ( ) , interval :1 day )|1|10|10||0|0|548640|548640|0|0|
+|corpwx|update external_user set tenant_user_id = :1 where ( tenant_id = :2 and user_id = :3 )|1|1|1||0|0|141881|141881|0|0|
+|order|select od.id from order_info od left join order_detail dt on od.id = dt.order_id where od.status = :1 and dt.sku_id = :2 and od.user_id = :3|1|1|1||0|0|77784|77784|0|0|
+|order|select max ( create_time ) from `order`.order_operator_log where tenant_wechatapp_id = :1 and order_id = :2|1|1|1||0|0|302463|302463|1|1|
+|coupon_service|select * from coupon_user where datediff ( date_format ( end_time , :1 ) , date_format ( now ( ) , :2 ) ) = :3 and coupon_state in ( :4 )|1|12|12||0|0|792948|792948|330|330|
+|value_added|-- 增值达到最大天数 select 'value_added_limit_contact' as limitdaytype , tenant_wechatapp_id as tenantappid , user_id as userid , group_concat ( t.product_barcode order by product_barcode asc ) as productcode , group_concat ( t.product_name order by product_barcode asc ) as productname from value_added_user t where tenant_wechatapp_id = :1 and state = :2 and t.start_add_time >= date_add ( date_format ( :3 , :4 ) , interval :5 * ( add_days-1 ) day ) and t.start_add_time < date_add ( date_format ( :6 , :7 ) , interval ( :8 * ( add_days-1 ) :9 :10 ) day ) group by tenant_wechatapp_id , user_id|1|1|1||0|0|17397|17397|17|17|
+|authorization_service|select id , user_id , tenant_id , tenant_wx_app_id , account_id , login_way , login_code , login_token , roles , status , expire_time , create_time , update_time , login_ip , login_time , login_data , employee_id , shop_id from user_login_token where ( tenant_id = :1 and account_id = :2 and status = :3 and tenant_wx_app_id = :4 )|1|1|1||0|0|58973|58973|0|0|
+|message_push|delete from message_log where create_time < :1|1|16|16||0|0|175772|175772|0|0|
+|platform|select ifnull ( eid , 0 ) as eid , ifnull ( shopid , 0 ) as sid , vendorid , count ( 1 ) as quantity from productcerts where vendorid = :1 and to_days ( :2 ) :3 to_days ( createtime ) = :4 group by eid , shopid , vendorid|1|1|1||0|0|28984|28984|0|0|
+|order|select id from order_operator_log where tenant_wechatapp_id = :1 and order_id = :2 and ( src_child_status = :3 and dst_child_status = :4 ) order by create_time desc limit :5|1|1|1||0|0|302415|302415|0|0|
+|platform|select count ( 1 ) from coupondetail where vendorid = :1 and coupontype = :2 and couponstate = :3 and to_days ( :4 ) :5 to_days ( createtime ) = :6|1|1|1||0|0|322224|322224|1|1|
+|value_added|-- 根据添加时间得出当前增值金额 update value_added_user set amount_added = if ( :1 > ( ( ( added_percent_per_day / :2 ) * if ( :3 >= timestampdiff ( day , date_format ( start_add_time , :4 ) , now ( ) ) :5 :6 :7 add_days , timestampdiff ( day , date_format ( start_add_time , :8 ) , now ( ) ) :9 :10 , add_days ) ) :11 ( ( devalue_percent_per_day / :12 ) * if ( :13 >= timestampdiff ( day , date_format ( start_add_time , :14 ) , now ( ) ) :15 :16 :17 add_days :18 keeping_days , :19 , timestampdiff ( day , date_format ( start_add_time , :20 ) , now ( ) ) :21 :22 :23 add_days :24 keeping_days ) ) ) * amount_pay , :25 , ( ( ( added_percent_per_day / :26 ) * if ( :27 >= timestampdiff ( day , date_format ( start_add_time , :28 ) , now ( ) ) :29 :30 :31 add_days , timestampdiff ( day , date_format ( start_add_time , :32 ) , now ( ) ) :33 :34 , add_days ) ) :35 ( ( devalue_percent_per_day / :36 ) * if ( :37 >= timestampdiff ( day , date_format ( start_add_time , :38 ) , now ( ) ) :39 :40 :41 add_days :42 keeping_days , :43 , timestampdiff ( day , date_format ( start_add_time , :44 ) , now ( ) ) :45 :46 :47 add_days :48 keeping_days ) ) ) * amount_pay ) , update_time = now ( ) where state = :49 and update_time <= curdate ( ) and ( start_add_time >= date_add ( curdate ( ) , interval :50 ( add_days :51 keeping_days :52 :53 ) day ) or ( amount_added > :54 and start_add_time < date_add ( curdate ( ) , interval :55 ( add_days :56 keeping_days :57 :58 ) day ) ) ) -- 判断条件 在增值时间内 增值金大于0 状态正常|1|2|2||0|0|323905|323905|0|0|
+|tenant|select erp_sales.id , erp_sales.sales_erp_id as saleserpid , erp_sales.sales_no as salesno , erp_sales.sales_date as salesdate , erp_sales.member_erp_id as membererpid , erp_sales.employee_erp_id as employeeerpid , erp_sales.employee_name as employeename , erp_sales.dept_erp_id as depterpid , erp_sales.amount as amount , erp_sales.sales_remark as salesremark , erp_sales.receipts as receipts , erp_sales.sales_status as salesstatus , erp_sales.busi_date as busidate , erp_department.dept_name as deptname , tenant.full_name as tenantfullname , tenant.short_name as tenantshortname from erp_sales join erp_department on erp_sales.dept_erp_id = erp_department.dept_erp_id and erp_sales.tenant_id = erp_department.tenant_id join tenant on erp_sales.tenant_id = tenant.id and tenant.`status` = :1 where :2 = :3 and erp_sales.tenant_id = :4 and erp_sales.sales_no = :5 and erp_sales.employee_name like concat ( :6 , :7 , :8 ) and erp_department.dept_name like concat ( :9 , :10 , :11 ) limit :12|1|5|5||0|0|7911338|7911338|1|1|
+|platform|select `vendorid` , `memberid` , `salesdate` , `noteid` , `noteno` , `empid` , `empname` , `amounttotal` , `quantitytotal` , `integraltotal` , `salesstoreid` , `staffattitude` , `professionallevel` , `appearance` , `storeimage` , `productdisplay` , `salescomment` , `commenttime` , `replycontent` , `replytime` , `replyuser` , `tipfee` , `tipmorderid` , `tippayno` , `tippaytime` , `status` , `aftersalesremark` , `uid` , `eid` , `sid` , `id` from `saleslog` where vendorid = :1 and tipfee > :2 and tippayno is not null and date_sub ( date ( :3 ) , interval :4 day ) = date_format ( tippaytime , :5 )|1|5|5||0|0|120774|120774|0|0|
+|user_service|select count ( 0 ) from tenant_user tenantuser join user_service.user user on tenantuser.user_id = user.id where ( tenantuser.tenant_id = :1 and tenantuser.tenant_app_id = :2 and tenantuser.user_id not in ( :3 , :4 ) )|1|2|2||0|0|14621|14621|1|1|
+|tenant|select count ( 0 ) from tenant.erp_sales es left join tenant.tenant_wechatapp_shop shop on shop.tenant_wechatapp_id = es.tenant_wechatapp_id and shop.dept_erp_id = es.dept_erp_id join tenant.employee e on e.tenant_id = es.tenant_id and e.employee_erp_id = es.employee_erp_id join tenant.employee_shop esh on esh.tenant_app_id = es.tenant_wechatapp_id and esh.employee_id = e.id and esh.dept_erp_id = es.dept_erp_id where es.tenant_wechatapp_id = :1 and es.dept_erp_id = :2 and es.comment_id is not null and es.comment_id != :3 and esh.status in ( :4 , :5 )|1|1|1||0|0|58917|58917|1|1|
+|user_service|select tenantuser.* , user.nick_name from tenant_user tenantuser join user_service.user user on tenantuser.user_id = user.id where ( tenantuser.tenant_id = :1 and tenantuser.tenant_app_id = :2 and ( tenantuser.user_name like concat ( :3 , :4 , :5 ) or user.nick_name like concat ( :6 , :7 , :8 ) or tenantuser.mobile_no = :9 ) and tenantuser.user_id not in ( :10 ) ) order by tenantuser.user_id asc limit :11|1|2|2||0|0|43752|43752|8|8|

README.md

 # 运行日志
 # 2020-04
 
-[2020-04-01](2020-04-01/daily.md)    [2020-04-02](2020-04-02/daily.md)    [2020-04-06](2020-04-06/daily.md)    [2020-04-07](2020-04-07/daily.md)    [2020-04-08](2020-04-08/daily.md)    [2020-04-09](2020-04-09/daily.md)    [2020-04-10](2020-04-10/daily.md)    [2020-04-12](2020-04-12/daily.md)    [2020-04-13](2020-04-13/daily.md)    [2020-04-14](2020-04-14/daily.md)    [2020-04-15](2020-04-15/daily.md)    [2020-04-16](2020-04-16/daily.md)    [2020-04-19](2020-04-19/daily.md)    [2020-04-20](2020-04-20/daily.md)    [2020-04-21](2020-04-21/daily.md)    [2020-04-22](2020-04-22/daily.md)    
+[2020-04-01](2020-04-01/daily.md)    [2020-04-02](2020-04-02/daily.md)    [2020-04-06](2020-04-06/daily.md)    [2020-04-07](2020-04-07/daily.md)    [2020-04-08](2020-04-08/daily.md)    [2020-04-09](2020-04-09/daily.md)    [2020-04-10](2020-04-10/daily.md)    [2020-04-12](2020-04-12/daily.md)    [2020-04-13](2020-04-13/daily.md)    [2020-04-14](2020-04-14/daily.md)    [2020-04-15](2020-04-15/daily.md)    [2020-04-16](2020-04-16/daily.md)    [2020-04-19](2020-04-19/daily.md)    [2020-04-20](2020-04-20/daily.md)    [2020-04-21](2020-04-21/daily.md)    [2020-04-22](2020-04-22/daily.md)    [2020-04-23](2020-04-23/daily.md)    
 # 2020-03
 
 [2020-03-23](2020-03-23/daily.md)    [2020-03-24](2020-03-24/daily.md)    [2020-03-25](2020-03-25/daily.md)    [2020-03-26](2020-03-26/daily.md)    [2020-03-27](2020-03-27/daily.md)    [2020-03-29](2020-03-29/daily.md)    [2020-03-01](2020-03-01/daily.md)    [2020-03-02](2020-03-02/daily.md)    [2020-03-03](2020-03-03/daily.md)    [2020-03-04](2020-03-04/daily.md)    [2020-03-05](2020-03-05/daily.md)    [2020-03-06](2020-03-06/daily.md)    [2020-03-08](2020-03-08/daily.md)    [2020-03-09](2020-03-09/daily.md)    [2020-03-10](2020-03-10/daily.md)    [2020-03-11](2020-03-11/daily.md)    [2020-03-12](2020-03-12/daily.md)    [2020-03-15](2020-03-15/daily.md)    [2020-03-16](2020-03-16/daily.md)    [2020-03-17](2020-03-17/daily.md)    [2020-03-18](2020-03-18/daily.md)    [2020-03-19](2020-03-19/daily.md)    [2020-03-22](2020-03-22/daily.md)