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
It seems like there's a typo in the SQL query, specifically in the `order by` clause. Assuming you meant to order by `date_time`, the corrected query should look like this: ```sql 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 = 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, date_time; ``` This query selects specific columns from the `fl_dwm_bury_log` table, filters rows based on the given conditions, and orders the results by `device_id` and `date_time`. [2024-05-14 11:17:48 | AI写代码神器 | 262点数解答]
相关提问
- 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
- clickhouse根据【row_number() over (partition by device_id order by date_time) as "sort"】这段话里面生成sort进行排序，报异常是什么原因（277点数解答 | 2024-05-14 11:14:13）220
- #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
- import subprocess def unlock_bootloader(device_id): try: subprocess.run(f"fastboot -s {device_id} flashing unlock", check=True, shell=True) return True except subprocess.CalledProcessError: return False def flash_recovery(device_id, recovery_img): subprocess.run(f"fastboot -s {device_id} flash recovery {recovery_img}", shell=True)（345点数解答 | 2025-02-21 22:47:48）126
- 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
- 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
- 猜数字游戏是令游戏机随机产生一个100以内的正整数，用户输入一个数对其进行猜测，需要你编写程序自动对其与随机产生的被猜数进行比较，并提示大了（“too big”），还是小了（“too small”），相等表示猜到了。如果猜到，则结束程序。程序还要求统计猜的次数，如果1次猜出该数，提示“bingo!”；如果3次以内猜到该数，则提示“lucky you!”；如果超过3次但是在n（>3）次以内（包括第n次）猜到该数，则提示“good guess!”；如果超过n次都没有猜到，则提示“game over”，并结束程序。如果在到达n次之前，用户输入了一个负数，也输出“game over”，并结束程序。 输入格式: 输入第一行中给出两个不超过100的正整数，分别是游戏机产生的随机数、以及猜测的最大次数n。最后每行给出一个用户的输入，直到出现负数为止。 输出格式: 在一行中输出每次猜测相应的结果，直到输出猜对的结果或“game over”则结束。 用c语言（269点数解答 | 2024-10-30 16:19:09）539
- 猜数字游戏是令游戏机随机产生一个100以内的正整数，用户输入一个数对其进行猜测，需要你编写程序自动对其与随机产生的被猜数进行比较，并提示大了（“too big”），还是小了（“too small”），相等表示猜到了。如果猜到，则结束程序。程序还要求统计猜的次数，如果1次猜出该数，提示“bingo!”；如果3次以内猜到该数，则提示“lucky you!”；如果超过3次但是在n（>3）次以内（包括第n次）猜到该数，则提示“good guess!”；如果超过n次都没有猜到，则提示“game over”，并结束程序。如果在到达n次之前，用户输入了一个负数，也输出“game over”，并结束程序。 输入格式: 输入第一行中给出两个不超过100的正整数，分别是游戏机产生的随机数、以及猜测的最大次数n。最后每行给出一个用户的输入，直到出现负数为止。 输出格式: 在一行中输出每次猜测相应的结果，直到输出猜对的结果或“game over”则结束。 用c语言（613点数解答 | 2024-10-31 09:15:00）139
- 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
- 用c语言实现一个64位地址— select [0] = (6^11^16^…^51) — select [1] = (7^12^17^…^47) — select [2] = (8^13^18^…^48) — select [3] = (9^14^19^…^49) — select [4] = (10^15^20^…^50)（312点数解答 | 2024-11-19 15:34:19）151