我有这样的数据格式:
+----+--------+---------------------+
| ID | utente | data |
+----+--------+---------------------+
| 1 | Man1 | 2014-02-10 12:12:00 |
+----+--------+---------------------+
| 2 | Women1 | 2015-02-10 12:12:00 |
+----+--------+---------------------+
| 3 | Man2 | 2016-02-10 12:12:00 |
+----+--------+---------------------+
| 4 | Women1 | 2014-03-10 12:12:00 |
+----+--------+---------------------+
| 5 | Man1 | 2014-04-10 12:12:00 |
+----+--------+---------------------+
| 6 | Women1 | 2014-02-10 12:12:00 |
+----+--------+---------------------+
我想制作一份报告,以这样的方式组织ouptout:
+---------+--------+-------+---------------------+---------------------+---------------------+
| IDs | utente | count | data1 | data2 | data3 |
+---------+--------+-------+---------------------+---------------------+---------------------+
| 1, 5 | Man1 | 2 | 2014-02-10 12:12:00 | 2014-04-10 12:12:00 | |
+---------+--------+-------+---------------------+---------------------+---------------------+
| 2, 4, 6 | Women1 | 3 | 2015-02-10 12:12:00 | 2014-03-10 12:12:00 | 2014-05-10 12:12:00 |
+---------+--------+-------+---------------------+---------------------+---------------------+
包含相同用户(utente)多次的所有行将包含在一行中,其中包含所有日期和记录计数。 感谢
答案 0 :(得分:3)
虽然编写一个以您想要的格式返回数据的查询当然是可能的,但我建议您使用GROUP BY查询和两个GROUP_CONCAT聚合函数:
SELECT
GROUP_CONCAT(ID) as IDs,
utente,
COUNT(*) as cnt,
GROUP_CONCAT(data ORDER BY data) AS Dates
FROM
tablename
GROUP BY
utente
然后在应用程序级别,您可以将日期字段拆分为多个列。
答案 1 :(得分:1)
看起来像一个相当标准的“破碎”报告,只是因为你的日期水平延伸而不是向下延伸而变得复杂......
SELECT * FROM t ORDER BY utente, data
$lastutente = $lastdata = '';
echo "<table>\n";
while ($row = fetch()) {
if ($lastutente != $row['utente']) {
if ($lastutente != '') {
/****
* THIS SECTION REF'D BELOW
***/
echo "<td>$cnt</td>\n";
foreach ($datelst[] as $d)
echo "<td>$row[data]</td>\n";
for ($i = count($datelst); $i < $NumberOfDateCells; $i++)
echo "<td> </td>\n";
echo "</tr>\n";
/****
* END OF SECTION REF'D BELOW
***/
}
echo "<tr><td>$row[utente]</td>\n"; // start a new row - you probably want to print other stuff too
$datelst = array();
$cnt = 0;
}
if ($lastdata != $row['data']) {
datelst[] = $row['data'];
}
$cnt += $row['cnt']; // or $cnt++ if it's one per row
}
print the end of the last row - see SECTION REF'D ABOVE
echo "</table>\n";
您可以在上面的查询中添加GROUP BY utente, data
以增加对mysql的负担,减少对代码的负担 - 然后您应该SUM(cnt) as cnt
或COUNT(*) as cnt
。