样本数据:
db1.locationDetails表
| id | locationUID | locationName |
|----|-------------|--------------|
| 1 | L0001 | Site A |
| 2 | L0002 | Site B |
| 3 | L0003 | Site C |
| 3 | L0004 | Site D |
db2.HealthData表
| id | locationID | Date_Time | memUsage |
|----|-------------|------------------|----------|
| 1 | L0001 | 2018-09-10 11:43 | 35 |
| 2 | L0002 | 2018-09-10 08:22 | 39 |
| 3 | L0003 | 2018-09-10 14:44 | 43 |
| 4 | L0004 | 2018-09-10 16:01 | 72 |
| 5 | L0001 | 2018-09-12 01:26 | 50 |
| 6 | L0002 | 2018-09-12 03:15 | 32 |
我有一个查询:
SELECT DISTINCT db1.locationDetails.locationUID,
db1.locationDetails.locationName,
MAX(db2.HealthData.Date_Time),
db2.HealthData.memUsage,
IF(DATE(db2.HealthData.Date_Time) = '2018-09-12', "ON", "OFF") AS Status
FROM db1.locationDetails
LEFT JOIN db2.HealthData
ON db1.locationDetails.locationUID = db2.HealthData.locationID
GROUP BY db1.locationDetails.locationUID
根据我的理解,如果Date等于2018-09-12,则“状态”列将显示“ ON”,但是无论如何Date_Time列中的值等于该值,总会返回“ OFF”查询中指定的日期值。
谁能告诉我这是怎么回事?预先感谢。
预期输出:
| locationUID | locationName | Date_Time | memUsage | Status |
|-------------|--------------|-----------------|----------|--------|
| L0001 | Site A |2018-09-12 01:26 | 50 | ON |
| L0002 | Site B |2018-09-12 03:15 | 32 | ON |
| L0003 | Site C |2018-09-10 14:44 | 43 | OFF |
| L0004 | Site D |2018-09-10 16:01 | 72 | OFF |
答案 0 :(得分:0)
使用子查询来获得所需的结果:
select x.locationuid,x.locationname,maxitme, memusage, case when date(maxtime)='2018-09-12' then 'ON' else 'OFF' end as status
from db1.locationDetails x
inner join
(select a.locationuid,maxtime,memusage
from
(SELECT locationUID,MAX(Date_Time) as maxtime FROM db2.HealthData group by locationUID)a
inner join db2.HealthData b on a.locationuid=b.locationuid)y
on x.locationuid=y.locationuid
答案 1 :(得分:0)
通过db1.locationDetails.locationUID,db2.HealthData.id添加分组
SELECT DISTINCT db1.locationDetails.locationUID,
db1.locationDetails.locationName,
MAX(db2.HealthData.Date_Time),
db2.HealthData.memUsage,
IF(DATE(db2.HealthData.Date_Time) = '2018-09-12', "ON", "OFF") AS Status
FROM db1.locationDetails
LEFT JOIN db2.HealthData
ON db1.locationDetails.locationUID = db2.HealthData.locationID
GROUP BY db1.locationDetails.locationUID,db2.HealthData.id