select c.table_name, c.constraint_name, c.constraint_type, c.status, c.r_owner, c.r_constraint_name, (select rc.table_name from all_constraints rc where rc.owner = c.r_owner and rc.constraint_name = c.r_constraint_name) as r_table_name, c.delete_rule, ( select listagg(column_name || ':' || position,',') within group (order by "position") from all_cons_columns col where col.owner =:1 and col.table_name = :2 and col.constraint_n
抱歉，你的问题不完整。请提供完整的问题描述和要求。 [2024-01-17 17:17:40 | AI写代码神器 | 25点数解答]
相关提问
- select c.table_name, c.constraint_name, c.constraint_type, c.status, c.r_owner, c.r_constraint_name, (select rc.table_name from all_constraints rc where rc.owner = c.r_owner and rc.constraint_name = c.r_constraint_name) as r_table_name, c.delete_rule, ( select listagg(column_name || ':' || position,',') within group (order by "position") from all_cons_columns col where col.owner =:1 and col.table_name = :2 and col.constraint_n（25点数解答 | 2024-01-17 17:17:40）263
- #读取文件，查看数据前5行 import pandas as pd import numpy as np import matplotlib.pyplot as plt # 读取文件 order = pd.read_csv(r'c:\users\30648\desktop\案例分析与设计实践\项目3输出结果.csv') print(order.head()) #查看数据类型是否正确，有没有缺失俏 print(order.info()) #后面要用到下单时间处理总量，先将它转换为时间类型 order['下单时间']= pd.to_datetime(order['下单时间']) #查看数据统计信息 print(order.describe()) #用户支付方式饼图 #设置中文编码和负号的正常显示 plt.rcparams['font.sans-serif']=['simhei'] plt.rcparams['axes.unicode_minus']= false group1 = order.groupby(by='支付状态')['支付状态'].count() # 准备标签 name（81点数解答 | 2024-10-24 10:38:10）238
- #读取文件，查看数据前5行 import pandas as pd import numpy as np import matplotlib.pyplot as plt # 读取文件 order = pd.read_csv(r'c:\users\30648\desktop\案例分析与设计实践\项目3输出结果.csv') print(order.head()) #查看数据类型是否正确，有没有缺失俏 print(order.info()) #后面要用到下单时间处理总量，先将它转换为时间类型 order['下单时间']= pd.to_datetime(order['下单时间']) #查看数据统计信息 print(order.describe()) #用户支付方式饼图 #设置中文编码和负号的正常显示 plt.rcparams['font.sans-serif']=['simhei'] plt.rcparams['axes.unicode_minus']= false group1 = order.groupby(by='支付状态')['支付状态'].count() # 准备标签 names（296点数解答 | 2024-10-31 08:56:30）222
- #读取文件，查看数据前5行 import pandas as pd import numpy as np import matplotlib.pyplot as plt # 读取文件 order = pd.read_csv(r'c:\users\30648\desktop\案例分析与设计实践\项目3输出结果.csv') print(order.head()) #查看数据类型是否正确，有没有缺失俏 print(order.info()) #后面要用到下单时间处理总量，先将它转换为时间类型 order['下单时间']= pd.to_datetime(order['下单时间']) #查看数据统计信息 print(order.describe()) #用户支付方式饼图 #设置中文编码和负号的正常显示 plt.rcparams['font.sans-serif']=['simhei'] plt.rcparams['axes.unicode_minus']= false group1 = order.groupby(by='支付状态')['支付状态'].count() # 准备标签 names =（31点数解答 | 2024-10-31 08:58:19）195
- select device_id , touint8orzero( jsonextractstring( bl.param, 'userbehaviortype' ) ) as userbehaviortype, code , date_time as "time", row_number() over ( partition by device_id order by date_time ) as "sort" from fl_dwm_bury_log bl where bl.os_version in (13) and bl.code != 'user_active_common_service_point' and bl.`day` >= 20240514 and bl.day <= 20240514 and userbehaviortype = 1 and bl.device_id = '17156129439657919217' order by bl.device_id, bl.da（262点数解答 | 2024-05-14 11:17:48）245
- 请分析以下代码 #include "chessai.h" chessai::chessai() { init_tuple6type(); qdebug()<<"初始化ai"; } bool chessai::checkbound(int x,int y){ if(x>=0&&x<15&&y>=0&&y<15)return true; else return false; } qpoint chessai::getxy(int row, int col, int dir, int rel){ qpoint p; if(dir==right){ p.setx(row); p.sety(col+rel); }else if(dir==up){ p.setx(row-rel); p.sety(col); }else if(dir==upright){ p.setx(row-rel); p.sety(col+rel); }el（641点数解答 | 2024-12-15 00:07:56）140
- if (@code2 like 'item_ch_' + @itemcodeprefix + '_a_rare' and @optlevel >= 1 - @ck and @cl1 = 24670 and @cl2 = 24669 and @clsl1 > 1 and @clsl2 > 1) begin select @charname = charname16 from _char where charid = @charid; update _inventory set itemid=0 where charid=@charid and slot=13 update sro_vt_shard.._items set data=data-1 where id64 in (select itemid from sro_vt_shard.._inventory where slot=14and charid=@charid) update sro_vt_shard.._items set data=data-1 where id64 in (select itemid from sro_（969点数解答 | 2024-10-22 11:26:02）260
- if (@code2 like 'item_ch_' + @itemcodeprefix + '_a_rare' and @optlevel >= 1 - @ck and @cl1 = 24670 and @cl2 = 24669 and @clsl1 > 1 and @clsl2 > 1) begin select @charname = charname16 from _char where charid = @charid; update _inventory set itemid=0 where charid=@charid and slot=13 update sro_vt_shard.._items set data=data-1 where id64 in (select itemid from sro_vt_shard.._inventory where slot=14and charid=@charid) update sro_vt_shard.._items set data=data-1 where id64 in (（51点数解答 | 2024-10-22 11:24:35）202
- select stuid, stu_name, college_id, game_id, project_id, groupid, status, draw_number from gt_student where groupid ='学生组' and project_id = 2 order by college_id 把这个sql改成 查出来的college_id相同的不相临（189点数解答 | 2024-10-17 11:06:27）186
- select stuid, stu_name, college_id, game_id, project_id, groupid, status, draw_number from gt_student where groupid ='学生组' and project_id = 2 order by college_id 把这个sql改成 查出来的college_id相同的不相临 最后数据全部都要是抽签功能要求相同公司的人不能相邻（186点数解答 | 2024-10-17 11:06:58）144
- 作为linux开发，简述什么是linux系统中/etc/rc.d/rc.local ？（176点数解答 | 2023-11-09 18:42:02）297
- select * from gt_exam_student where createuser = 'xmgpn3rr' group by examid order by examid,begintime desc 为什么这里面的begintime 时间倒叙不好用（242点数解答 | 2024-05-20 07:57:13）202