標籤:mysql group by
我這裡建立了一個 goods 表,先看下裡面的資料:
mysql> select * from goods;+----+------+------+------------+-------------+------------+| id | s_id | b_id | goods_name | goods_price | goods_desc |+----+------+------+------------+-------------+------------+| 1 | 1 | 5 | book | 22.35 | book || 2 | 2 | 5 | ball | 32.25 | ball || 3 | 3 | 5 | NULL | 3.23 | NULL || 4 | 3 | 5 | macbook | 3.23 | book || 5 | 3 | 5 | listbook | 2.30 | book || 6 | 1 | 1 | nicebook | 9999.00 | nicebook || 7 | 2 | 3 | googlebook | 25.30 | book |+----+------+------+------------+-------------+------------+
1、根據s_id分組
mysql> select *,group_concat(goods_name) goods_names,group_concat(goods_desc) goods_descs,group_concat(id) ids,group_concat(goods_price) goods_prices from goods group by s_id;+----+------+------+------------+-------------+------------+------------------+---------------+-------+----------------+| id | s_id | b_id | goods_name | goods_price | goods_desc | goods_names | goods_descs | ids | goods_prices |+----+------+------+------------+-------------+------------+------------------+---------------+-------+----------------+| 1 | 1 | 5 | book | 22.35 | book | book,nicebook | book,nicebook | 1,6 | 22.35,9999.00 || 2 | 2 | 5 | ball | 32.25 | ball | ball,googlebook | ball,book | 2,7 | 32.25,25.30 || 3 | 3 | 5 | NULL | 3.23 | NULL | macbook,listbook | book,book | 3,4,5 | 3.23,3.23,2.30 |+----+------+------+------------+-------------+------------+------------------+---------------+-------+----------------+
這裡使用了 group_concat() 函數,主要目的是為了顯示分組的詳細資料
上面的根據單個欄位分組很簡單,把相同s_id的記錄都歸組了
2、根據s_id,goods_desc欄位分組
分析:這裡查詢分組時,會先根據s_id分組,然後對每個組裡面的資料再根據goods_desc進行分組
mysql> select *,group_concat(goods_name) goods_names,group_concat(goods_desc) goods_descs,group_concat(id) ids,group_concat(goods_price) goods_prices from goods group by s_id,goods_desc;+----+------+------+------------+-------------+------------+------------------+-------------+------+--------------+| id | s_id | b_id | goods_name | goods_price | goods_desc | goods_names | goods_descs | ids | goods_prices |+----+------+------+------------+-------------+------------+------------------+-------------+------+--------------+| 1 | 1 | 5 | book | 22.35 | book | book | book | 1 | 22.35 || 6 | 1 | 1 | nicebook | 9999.00 | nicebook | nicebook | nicebook | 6 | 9999.00 || 2 | 2 | 5 | ball | 32.25 | ball | ball | ball | 2 | 32.25 || 7 | 2 | 3 | googlebook | 25.30 | book | googlebook | book | 7 | 25.30 || 3 | 3 | 5 | NULL | 3.23 | NULL | NULL | NULL | 3 | 3.23 || 4 | 3 | 5 | macbook | 3.23 | book | macbook,listbook | book,book | 4,5 | 3.23,2.30 |+----+------+------+------------+-------------+------------+------------------+-------------+------+--------------+
這裡的goods_descs 和 上面的一比較就明白了
接下來還可以再根據 goods_price 分組
mysql> select *,group_concat(goods_name) goods_names,group_concat(goods_desc) goods_descs,group_concat(id) ids,group_concat(goods_price) goods_prices from goods group by s_id,goods_desc,goods_price;+----+------+------+------------+-------------+------------+-------------+-------------+------+--------------+| id | s_id | b_id | goods_name | goods_price | goods_desc | goods_names | goods_descs | ids | goods_prices |+----+------+------+------------+-------------+------------+-------------+-------------+------+--------------+| 1 | 1 | 5 | book | 22.35 | book | book | book | 1 | 22.35 || 6 | 1 | 1 | nicebook | 9999.00 | nicebook | nicebook | nicebook | 6 | 9999.00 || 2 | 2 | 5 | ball | 32.25 | ball | ball | ball | 2 | 32.25 || 7 | 2 | 3 | googlebook | 25.30 | book | googlebook | book | 7 | 25.30 || 3 | 3 | 5 | NULL | 3.23 | NULL | NULL | NULL | 3 | 3.23 || 5 | 3 | 5 | listbook | 2.30 | book | listbook | book | 5 | 2.30 || 4 | 3 | 5 | macbook | 3.23 | book | macbook | book | 4 | 3.23 |+----+------+------+------------+-------------+------------+-------------+-------------+------+--------------+
總結:這裡主要是進行多個欄位分組的時候,只需掌握分組順序後面的欄位是根據前面欄位分組後的內容再進行的分組即可。
MySQL group by 單字分組序和多欄位分組