Mysql SQL-拥有COUNT()不会';I don’我没有按预期工作
我加入了几个表,并使用以下代码过滤结果Mysql SQL-拥有COUNT()不会';I don’我没有按预期工作,mysql,sql,Mysql,Sql,我加入了几个表,并使用以下代码过滤结果 SELECT jmeno, prijmeni, adresa, vozidlo.spz, snimek.timestamp FROM majitel INNER JOIN vozidlo ON majitel.id_majitel = vozidlo.id_majitel INNER JOIN kat_kamera ON kat_kamera.id_kategorie = vozidlo.id_kategorie INNER JOIN snimek ON
SELECT jmeno, prijmeni, adresa, vozidlo.spz, snimek.timestamp
FROM majitel
INNER JOIN vozidlo ON majitel.id_majitel = vozidlo.id_majitel
INNER JOIN kat_kamera ON kat_kamera.id_kategorie = vozidlo.id_kategorie
INNER JOIN snimek ON kat_kamera.id_kamera = snimek.id_kamera
WHERE TIMESTAMP >= TIMESTAMP(NOW() - INTERVAL 2 DAY)
结果如下
jmeno prijmeni adresa spz timestamp
John Doe Prague 7A2 5109 17/05/2019 08:21
John Doe Prague 7A2 5109 17/05/2019 20:50
Vanessa Green Pilsen 4P8 9370 17/05/2019 06:14
John Doe Prague 7A2 5109 17/05/2019 20:50
Vanessa Green Pilsen 4P8 9370 17/05/2019 12:27
Vanessa Green Pilsen 4P8 9370 17/05/2019 14:31
John Doe Prague 7A2 5109 18/05/2019 15:35
到目前为止,这种方法效果良好。问题是,我只想将结果限制为这些,它们出现3次或更多次
因此,我对查询进行了如下修改
SELECT jmeno, prijmeni, adresa, vozidlo.spz, snimek.timestamp
FROM majitel
INNER JOIN vozidlo ON majitel.id_majitel = vozidlo.id_majitel
INNER JOIN kat_kamera ON kat_kamera.id_kategorie = vozidlo.id_kategorie
INNER JOIN snimek ON kat_kamera.id_kamera = snimek.id_kamera
WHERE TIMESTAMP >= TIMESTAMP(NOW() - INTERVAL 2 DAY)
HAVING COUNT(jmeno) >= 3
但不幸的是,这不起作用。因为它返回的就是这个
jmeno prijmeni adresa spz timestamp
John Doe Prague 7A2 5109 17/05/2019 08:21
但是在最终结果中应该既有约翰·多伊,也有瓦妮莎·格林
你能帮我得到想要的结果吗?你应该使用group by和count(*)
并使用聚合函数来减少时间戳值(例如:min())您需要一个
分组依据。MySQL允许使用HAVING
子句,而不使用groupby
。整个查询被视为聚合查询,只返回一行
如果您只需要重复零件:
SELECT jmeno, prijmeni, adresa, v.spz
FROM majitel m INNER JOIN
vozidlo v
ON m.id_majitel = v.id_majitel INNER JOIN
kat_kamera kk
ON kk.id_kategorie = v.id_kategorie INNER JOIN
snimek s
ON kk.id_kamera = s.id_kamera
WHERE TIMESTAMP >= TIMESTAMP(NOW() - INTERVAL 2 DAY)
GROUP BY jmeno, prijmeni, adresa, v.spz
HAVING COUNT(*) >= 3;
(我鼓励您限定所有列名,以便清楚它们来自哪些表。)
时间戳
更难包含。也许将它们连接到同一行就足够了:
SELECT jmeno, prijmeni, adresa, v.spz,
GROUP_CONCAT(timestamp) as timestamps
FROM majitel m INNER JOIN
vozidlo v
ON m.id_majitel = v.id_majitel INNER JOIN
kat_kamera kk
ON kk.id_kategorie = v.id_kategorie INNER JOIN
snimek s
ON kk.id_kamera = s.id_kamera
WHERE TIMESTAMP >= TIMESTAMP(NOW() - INTERVAL 2 DAY)
GROUP BY jmeno, prijmeni, adresa, v.spz
HAVING COUNT(*) >= 3;
如果需要单独的行,那么在MySQL 8+中,可以使用窗口函数:
SELECT x.*
FROM (SELECT jmeno, prijmeni, adresa, v.spz, timestamp,
COUNT(*) OVER (jmeno, prijmeni, adresa, v.spz) as cnt
FROM majitel m INNER JOIN
vozidlo v
ON m.id_majitel = v.id_majitel INNER JOIN
kat_kamera kk
ON kk.id_kategorie = v.id_kategorie INNER JOIN
snimek s
ON kk.id_kamera = s.id_kamera
WHERE TIMESTAMP >= TIMESTAMP(NOW() - INTERVAL 2 DAY)
GROUP BY jmeno, prijmeni, adresa, v.spz
) x
WHERE cnt >= 3;
如果不想丢失每个时间戳的信息,可以使用行号
和存在
。试试这个:
WITH CTE AS
(
SELECT
jmeno
,prijmeni
,adresa
,vozidlo.spz
,snimek.timestamp
,ROW_NUMBER() OVER (PARTITION BY jmeno ORDER BY jmeno) as number
FROM majitel
INNER JOIN vozidlo ON majitel.id_majitel = vozidlo.id_majitel
INNER JOIN kat_kamera ON kat_kamera.id_kategorie = vozidlo.id_kategorie
INNER JOIN snimek ON kat_kamera.id_kamera = snimek.id_kamera
WHERE TIMESTAMP >= TIMESTAMP(NOW() - INTERVAL 2 DAY)
)
SELECT
*
FROM CTE
WHERE exists (
SELECT 1
FROM CTE
where CTE.jmeno = jmeno
and CTE.number >= 3
)
我相信您的GROUP BY丢失了,如果您添加了它,您将需要稍微重写查询,作为一般的经验法则,select中的每个“列”也应该出现在GROUP BY子句中jmeno
,并且prijmeni
应该在它们的表中有一个主键(始终记得添加您的模式)。根据id
对其进行分组以提高效率。如果不添加分组依据
,则所有记录都将被视为相同的记录
WITH CTE AS
(
SELECT
jmeno
,prijmeni
,adresa
,vozidlo.spz
,snimek.timestamp
,ROW_NUMBER() OVER (PARTITION BY jmeno ORDER BY jmeno) as number
FROM majitel
INNER JOIN vozidlo ON majitel.id_majitel = vozidlo.id_majitel
INNER JOIN kat_kamera ON kat_kamera.id_kategorie = vozidlo.id_kategorie
INNER JOIN snimek ON kat_kamera.id_kamera = snimek.id_kamera
WHERE TIMESTAMP >= TIMESTAMP(NOW() - INTERVAL 2 DAY)
)
SELECT
*
FROM CTE
WHERE exists (
SELECT 1
FROM CTE
where CTE.jmeno = jmeno
and CTE.number >= 3
)