7 rows in set (0.01 sec) -- 2、指定连接符+ mysql> select s_id, group_concat(s_score separator "+") from Score group by s_id; +---+---+ | s_id | group_concat(s_score separator "+") | +---+---+ | 01 | 80+90+96 | | 02 | 70+60+80 | | 03 | 80+81+85 | ...
stringdeviceCode=dt.Rows[i]["code"].ToString();stringsql_logtime =@"select stuff(( select ','+CONVERT(Nvarchar,l2.logtime, 20) from logs_signIn l2 where CONVERT(Nvarchar,l2.logtime, 23)='"+ DateTime.Now.ToString("yyyy-MM-dd") +@"'order by l2.logtime desc FOR XML PATH('')...
Rows Read: 112, Read Time: 0.001, Transform Time: 0 Beginning processing data. LBFGS multi-threading will attempt to load dataset into memory. In case of out-of-memory issues, turn off multi-threading by setting trainThreads to 1. Beginning optimization num ...
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sqlserver中⽤stuff实现类似wm_concat功能，将某⼀列的多⾏ 值拼成⼀个字符串 string deviceCode=dt.Rows[i]["code"].ToString();string sql_logtime = @"select stuff((select ','+CONVERT(Nvarchar,l2.logtime, 20) from logs_signIn l2 where CONVERT(Nvarchar,l2.logtime, 23)='" + ...
0 Beginning processing data. Beginning processing data. Rows Read: 112, Read Time: 0.001, Transform Time: 0 Beginning processing data. LBFGS multi-threading will attempt to load dataset into memory. In case of out-of-memory issues, turn off multi-threading by setting trainThreads to 1. Begin...
...| 89 | +---+---+---+---+ 3 rows in set (0.00 sec) 3 添加total列 当我们把基本的行转列实现之后...如果我们对于结果的显示格式要求不是那么细致的话,也可以用一种粗犷的方法,就是group_concat函数,将所有的列都写在一起,用一个字段表示,效果如下: mysql-yeyz 14:19: 13.3K10 mysql行...
6 rows in set (0.00 sec) 以id分组,把name字段的值打印在一行,逗号分隔(默认) mysql> select id,group_concat(name) from aa group by id; +---+---+ | id| group_concat(name) | +---+---+ |1 | 10,20,20| |2 | 20 | |3 | 200,500| +---+...
0 Beginning processing data. Beginning processing data. Rows Read: 112, Read Time: 0.001, Transform Time: 0 Beginning processing data. LBFGS multi-threading will attempt to load dataset into memory. In case of out-of-memory issues, turn off multi-threading by setting trainThreads to 1. Begin...
import sqlite3 # 假设使用SQLite数据库 conn = sqlite3.connect('example.db') cursor = conn.cursor() cursor.execute("SELECT subject, name FROM students") rows = cursor.fetchall() grouped_results = {} for row in rows: subject, name = row if subject not in grouped_results: grouped_results...