auto commit

2020-03-06/daily.md

+# 2020年03月06日运行日报：https://git.sjfx.com.cn/report/daily/blob/master/2020-03-06/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          |-                   |42.9%               |53%                 |http://47.110.9.96:17123/|
+|v3-base-mq001       |2.68%               |68.7%               |34.5%               |http://114.55.171.242:17123/|
+|v3-base-mq002       |3.31%               |68.7%               |24.9%               |http://47.110.226.218:17123/|
+|proxy-local         |1.71%               |38.3%               |22.5%               |http://47.96.14.81:17123/|
+|v3eureka001         |8.33%               |77.2%               |27.1%               |http://47.110.137.241:17123/|
+|v3eureka002         |9.34%               |**81.1%**           |63.9%               |http://114.55.171.107:17123/|
+|v3-gateway001       |2.52%               |61%                 |61.4%               |http://47.111.11.230:17123/|
+|v3-gateway002       |2.22%               |44%                 |58.4%               |http://47.110.14.10:17123/|
+|v3-gateway003       |2.79%               |78.4%               |54.7%               |http://47.110.12.94:17123/|
+|v3-gateway004       |2.8%                |79%                 |54.4%               |http://114.55.169.175:17123/|
+|v3-BS-F001          |5.42%               |70.8%               |20.3%               |http://47.98.220.95:17123/|
+|v3-BS-F002          |8.71%               |57.9%               |21.7%               |http://47.111.105.30:17123/|
+|v3-BS-F003          |5.51%               |78.8%               |24.2%               |http://47.111.105.137:17123/|
+|v3-BS-F004          |6.2%                |**81%**             |22%                 |http://47.111.105.218:17123/|
+|v3-BS-H001          |4.92%               |71.2%               |20.2%               |http://47.111.169.175:17123/|
+|v3-BS-H002          |9.04%               |59.7%               |21.7%               |http://114.55.171.6:17123/|
+|v3-BS-H003          |5.43%               |**83.4%**           |24.1%               |http://47.111.186.205:17123/|
+|v3-BS-H004          |5.57%               |**80.1%**           |22%                 |http://114.55.209.3:17123/|
+|v3-BS-G001          |6.1%                |73.2%               |19.7%               |http://114.55.243.46:17123/|
+|v3-BS-G002          |17%                 |54.5%               |20.9%               |http://47.98.158.5:17123/|
+|v3-BS-G003          |6.02%               |**86.9%**           |20.2%               |http://47.98.220.48:17123/|
+|v3-BS-G004          |7.48%               |75.5%               |24.8%               |http://47.111.79.177:17123/|
+|v3-BS-I001          |5.27%               |75.6%               |22.2%               |http://114.55.243.77:17123/|
+|v3-BS-I002          |17.4%               |54.5%               |22.1%               |http://114.55.242.246:17123/|
+|v3-BS-I003          |7.08%               |77.1%               |21.3%               |http://47.110.15.201:17123/|
+|v3-BS-I004          |5.06%               |**84.5%**           |23.2%               |http://114.55.243.68:17123/|
+|v3-tag              |2.47%               |75.3%               |22.2%               |http://47.110.13.5:17123/|
+
+## 数据库情况
+
+### rm-bp1qn4bl8d8p9mnm4
+
+内存使用率： 最小值 38.98%  最大值 39.5%  平均值 0.027449617790132%
+
+CPU使用率： 最小值 0.98%  最大值 96.61%  平均值 12.3141765114663%
+
+每秒IO请求次数： 最小值 0  最大值 2005.5  平均值 51.7060736622656
+
+连接数： 最小值 418.97  最大值 437.82  平均值 428.290569840167
+
+活跃连接数： 最小值 0  最大值 2.97  平均值 0.268679638637941
+
+空间使用量： 总使用量;76271.47MB  数据使用量;71147.8MB  日志使用量;702.37MB  临时使用量;3.11MB  系统使用量:4418.19MB
+
+### rr-bp13k3q7292ce5t6k
+
+内存使用率： 最小值 33.82%  最大值 33.82%  平均值 33.82%
+
+CPU使用率： 最小值 7.6%  最大值 7.6%  平均值 7.6%
+
+每秒IO请求次数： 最小值 232.81  最大值 232.81  平均值 232.81
+
+连接数： 最小值 60  最大值 60  平均值 60
+
+活跃连接数： 最小值 0.19  最大值 0.19  平均值 0.19
+
+空间使用量： 总使用量;74944.8MB  数据使用量;70929.93MB  日志使用量;883.31MB  临时使用量;1.53MB  系统使用量:3130.04MB
+
+### rm-bp1piz35u161jjc92
+
+内存使用率： 最小值 46.93%  最大值 46.93%  平均值 5.21444444444444%
+
+CPU使用率： 最小值 0.21%  最大值 91.49%  平均值 55.0855555555556%
+
+每秒IO请求次数： 最小值 4.48  最大值 2583.17  平均值 1478.18555555556
+
+连接数： 最小值 84  最大值 84  平均值 84
+
+活跃连接数： 最小值 0.02  最大值 15.1  平均值 7.52777777777778
+
+空间使用量： 总使用量;51540.05MB  数据使用量;41412.61MB  日志使用量;4046.71MB  临时使用量;2.16MB  系统使用量:6078.56MB
+
+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	78341874
+
+zk_packets_sent	78425053
+
+zk_num_alive_connections	44
+
+zk_outstanding_requests	0
+
+zk_server_state	leader
+
+zk_znode_count	3094
+
+zk_watch_count	1271
+
+zk_ephemerals_count	1734
+
+zk_approximate_data_size	981677
+
+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:0.60%
+
+已用内存:112922200.00Byte
+
+每秒总访问量:109.33
+
+已用连接数:1523.33
+键总数:21456.00
+
+设置过期时间的key数量:21449.00
+
+每秒请求次数:61.79    最大每秒请求次数:514.60
+
+每秒回复次数:1307.48    最大每秒回复次数:5754.56
+
+
+## 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'2020-03-05T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2020-03-06T15%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'2020-02-27T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2020-03-06T15%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'2020-03-05T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2020-03-06T15%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'2020-03-05T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2020-03-06T15%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'2020-03-05T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2020-03-06T15%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'2020-02-27T16%3A00%3A00.000Z'%2Cmode%3Aabsolute%2Cto%3A'2020-03-06T15%3A59%3A59.999Z')))
+

2020-03-06/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|
+| - | - | - | - | - | - | - | - | - | - | - | - |

2020-03-06/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|
+| - | - | - | - | - | - | - | - | - | - | - | - |
+|order|select count ( * ) amount from order_detail where tenant_wechatapp_id = :1 and sku_id = :2|1|1|1||0|0|72695|72695|1|1|
+|mysql|delete from wx_gateway.wx_template_msg where create_time < date_sub ( now ( ) , interval :1 day )|1|31|31||0|0|991043|991043|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 , :5 , :6 , :7 , :8 , :9 , :10 , :11 , :12 , :13 ) )|1|3|3||0|0|69500|69500|1|1|
+|warranty_service|select *from warranty_service.warranty where upload_frequency <= :1 and version = :2 and warranty_img_url is null|1|15|15||0|0|447571|447571|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|3|3||0|0|322224|322224|1|1|
+|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|1|1|1||0|0|347|347|0|0|
+|mysql|delete from message_push.message_log where create_time < date_sub ( now ( ) , interval :1 day )|1|1|1||0|0|33216|33216|0|0|
+|coupon_service|select * from coupon_user where datediff ( date_format ( end_time , :1 ) , date_format ( now ( ) , :2 ) ) = :3 and coupon_state in ( :4 )|1|13|13||0|0|792948|792948|629|629|
+|message_push|delete from message_log where create_time < :1|1|16|16||0|0|170760|170760|0|0|
+||/* applicationname = datagrip 2018.2.2 */ select * from user_service.tenant_user where user_name = :1|1|10|10||0|0|3644720|3644720|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|11|11||0|0|574195|574195|0|0|
+|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|
+|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 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 ) order by p.id desc limit :5 , :6|1|1|1||0|0|18265|18265|9|9|
+|order|select id , tenant_id , tenant_wechatapp_id , order_id , user_id , user_name , shop_id , shop_name , operator_type , src_status , dst_status , full_message , remark , create_time , update_time , src_child_status , dst_child_status from order_operator_log where tenant_wechatapp_id = :1 and order_id = :2 and dst_status = :3 order by create_time desc|1|1|1||0|0|279397|279397|3|3|
+|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 , :2 , :3 , :4 , :5 , :6 , :7 , :8 , :9 , :10 , :11 , :12 , :13 , :14 , :15 , :16 , :17 , :18 , :19 , :20 , :21 , :22 , :23 , :24 , :25 , :26 , :27 , :28 , :29 , :30 , :31 , :32 , :33 ) and ue.tenant_wechatapp_id = :34 and tu.shop_id = :35 group by ue.employee_id|1|1|1||0|0|90691|90691|30|30|
+|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 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_name like :5 )|1|1|1||0|0|18236|18236|1|1|
+|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|
+|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 erp_sync.sync_record where create_time < date_sub ( now ( ) , interval :1 day )|1|1|1||0|0|574195|574195|0|0|
+|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|298946|298946|0|0|
+|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|1|1|1||0|0|1387|1387|1|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|1|2|2||0|0|161002|161002|2|2|
+|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 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_name like :5 ) order by p.id desc limit :6|1|1|1||0|0|18237|18237|1|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|2725337|1362774|9|8|
+|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|24|15||0|0|504514|303256|1|1|
+|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 )|2|4|2||0|0|370477|267222|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 , :12 , :13 , :14 , :15 , :16 , :17 , :18 , :19 , :20 ) ) order by tenantuser.user_id asc limit :21|2|6|5||0|0|74336|69490|9|8|
+|employee|update backlog set leave_flag = :1 where tenant_app_id = :2 and employee_id = :3|3|10|4||0|0|310664|161002|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|3|7|4||0|0|328566|109553|3|1|
+|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|9|5||0|0|96664|62538|45|42|
+|wx_gateway|select * from wx_user where user_id = :1 and open_id not like :2 limit :3|4|14|4||0|0|3102732|775683|4|1|
+|order|select tenant_wechatapp_id from order_info where status = :1 and child_status is null group by tenant_wechatapp_id|4|6|2||0|0|290868|72747|12|3|
+|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|7|19|4||0|0|399280|76748|7|1|
+|order|select max ( create_time ) from `order`.order_operator_log where tenant_wechatapp_id = :1 and order_id = :2|9|9|1||0|0|2513477|279802|9|1|
+|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|9|12|3||0|0|386603|90734|9|1|
+|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|9|22|4||0|0|2005946|512471|2|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|10|14|2||0|0|223|33|0|0|
+|platform|select `noteid` , `vendorid` , `detailindex` , `productname` , `productbarcode` , `category` , `salestype` , `quantity` , `amount` , `integral` , `productdesc` , `slid` , `paidamount` , `id` from `salesdetaillog` where `noteid` = :1 and `vendorid` = :2|10|19|4||0|0|235348|31427|26|4|
+|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|11|18|4||0|0|1328386|175681|11|1|
+|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|17|2||0|0|878381|73222|12|1|
+|platform|select count ( 1 ) from coupondetail cd where getuid = :1 and ( couponstate = :2 or couponstate = :3 ) and date_format ( expirytime , :4 ) >= curdate ( )|15|36|4||0|0|4833360|322224|15|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|16|47|6||0|0|1751694|169994|16|1|
+|platform|select count ( 1 ) from `integrallog` where `vendorid` = :1 and `changefrom` = :2 and `changeid` = :3|16|27|2||0|0|372917|31462|16|1|
+|platform|select `typefullname` , `methodname` , `arguments` , `partition` , `offset` , `createtime` , `updatetime` , `retried` , `errormsg` , `id` from `pushlog` where `typefullname` = :1 and `methodname` = :2 and `arguments` = :3|17|32|2||0|0|4294533|252635|0|0|
+|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 )|24|42|4||0|0|5528485|331083|44|2|
+|platform|select count ( 1 ) from `salesdetaillog` where `vendorid` = :1 and `noteid` = :2|33|64|3||0|0|826983|31425|33|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 )|41|76|4||0|0|30967741|755321|8|4|
+|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 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 ) order by p.id desc limit :5|61|79|2||0|0|1114839|18335|1058|20|
+|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 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 )|62|86|3||0|0|1132017|18315|62|1|
+|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|64|315|12||0|0|7503116|169990|64|1|

README.md

 # 运行日志
 # 2020-03
 
-[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)    
+[2020-03-01](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)    
 # 2020-02
 
 [2020-02-08](2020-02-08/daily.md)    [2020-02-07](2020-02-07/daily.md)    [2020-02-09](2020-02-09/daily.md)    [2020-02-10](2020-02-10/daily.md)    [2020-02-11](2020-02-11/daily.md)    [2020-02-12](2020-02-12/daily.md)    [2020-02-13](2020-02-13/daily.md)    [2020-02-14](2020-02-14/daily.md)    [2020-02-16](2020-02-16/daily.md)    [2020-02-17](2020-02-17/daily.md)    [2020-02-18](2020-02-18/daily.md)    [2020-02-19](2020-02-19/daily.md)    [2020-02-20](2020-02-20/daily.md)    [2020-02-21](2020-02-21/daily.md)    [2020-02-23](2020-02-23/daily.md)    [2020-02-24](2020-02-24/daily.md)    [2020-02-25](2020-02-25/daily.md)    [2020-02-26](2020-02-26/daily.md)    [2020-02-27](2020-02-27/daily.md)    [2020-02-28](2020-02-28/daily.md)