我有两个表:
TABLE_MACHINE_1
datetime, sensor_1
2017-10-01 21:00:00, 1.18047
2017-10-01 21:15:00, 1.18023
2017-10-01 21:30:00, 1.18059
2017-10-01 21:45:00, 1.18067
2017-10-01 22:00:00, 1.18056
2017-10-01 22:15:00, 1.18147
2017-10-01 22:30:00, 1.18104
2017-10-01 22:45:00, 1.18111
2017-10-01 23:00:00, 1.18103
2017-10-01 23:15:00, 1.18072
2017-10-01 23:30:00, 1.18083
2017-10-01 23:45:00, 1.18079
2017-10-02 00:00:00, 1.17996
2017-10-02 00:15:00, 1.17987
2017-10-02 00:30:00, 1.17968
2017-10-02 00:45:00, 1.17893
2017-10-02 01:00:00, 1.17852
2017-10-02 01:15:00, 1.17833
TABLE_MACHINE_2
datetime, sensor_2
2017-10-01 21:45:00, 112.1
2017-10-01 22:00:00, 133.2
2017-10-01 22:15:00, 143.5
2017-10-01 22:30:00, 154.9
2017-10-01 22:45:00, 166.1
2017-10-01 23:30:00, 123.1
2017-10-01 23:45:00, 134.1
2017-10-02 00:00:00, 188.3
2017-10-02 01:00:00, 192.9
2017-10-02 01:15:00, 105.3
2017-10-02 01:30:00, 172.9
2017-10-02 01:45:00, 145.3
2017-10-02 02:00:00, 174.9
2017-10-02 02:15:00, 155.3
我预计结果如何:
加入预期
datetime, sensor_1 sensor_2
2017-10-01 21:00:00, 1.18047, NULL
2017-10-01 21:15:00, 1.18023, NULL
2017-10-01 21:30:00, 1.18059, NULL
2017-10-01 21:45:00, 1.18067, 112.1
2017-10-01 22:00:00, 1.18056, 133.2
2017-10-01 22:15:00, 1.18147, 143.5
2017-10-01 22:30:00, 1.18104, 154.9
2017-10-01 22:45:00, 1.18111, 166.1
2017-10-01 23:00:00, 1.18103, NULL
2017-10-01 23:15:00, 1.18072, NULL
2017-10-01 23:30:00, 1.18083, 123.1
2017-10-01 23:45:00, 1.18079, 134.1
2017-10-02 00:00:00, 1.17996, 188.3
2017-10-02 00:15:00, 1.17987, 105.3
2017-10-02 00:30:00, 1.17968, NULL
2017-10-02 00:45:00, 1.17893, NULL
2017-10-02 01:00:00, 1.17852, NULL
2017-10-02 01:15:00, 1.17833, NULL
2017-10-02 01:30:00, NULL , 172.9
2017-10-02 01:45:00, NULL , 145.3
2017-10-02 02:00:00, NULL , 174.9
2017-10-02 02:15:00, NULL , 155.3
但如果我做 FULL OUTER JOIN 得到:
从 TABLE_MACHINE_1 FULL OUTER JOIN TABLE_MACHINE_2 ON DATETIME
datetime, sensor_1, datetime, sensor_2
2017-10-01 21:00:00, 1.18047, NULL, NULL
2017-10-01 21:15:00, 1.18023, NULL, NULL
2017-10-01 21:30:00, 1.18059, NULL, NULL
2017-10-01 21:45:00, 1.18067, 2017-10-01 21:45:00, 112.1
2017-10-01 22:00:00, 1.18056, 2017-10-01 22:00:00, 133.2
2017-10-01 22:15:00, 1.18147, 2017-10-01 22:15:00, 143.5
2017-10-01 22:30:00, 1.18104, 2017-10-01 22:30:00, 154.9
2017-10-01 22:45:00, 1.18111, 2017-10-01 22:45:00, 166.1
2017-10-01 23:00:00, 1.18103, NULL, NULL
2017-10-01 23:15:00, 1.18072, NULL, NULL
2017-10-01 23:30:00, 1.18083, 2017-10-01 23:30:00, 123.1
2017-10-01 23:45:00, 1.18079, 2017-10-01 23:45:00, 134.1
2017-10-02 00:00:00, 1.17996, 2017-10-02 00:00:00, 188.3
2017-10-02 00:15:00, 1.17987, NULL, NULL
2017-10-02 00:30:00, 1.17968, NULL, NULL
2017-10-02 00:45:00, 1.17893, NULL, NULL
2017-10-02 01:00:00, 1.17852, 2017-10-02 01:00:00, 192.9
2017-10-02 01:15:00, 1.17833, 2017-10-02 01:15:00, 105.3
NULL, NULL, 2017-10-02 01:30:00, 172.9
NULL, NULL, 2017-10-02 01:45:00, 145.3
NULL, NULL, 2017-10-02 02:00:00, 174.9
NULL, NULL, 2017-10-02 02:15:00, 155.3
我需要在 postgresql 中的一个查询中解决它,我尝试使用完整的外连接子句失败。
我已经考虑过以下解决方案,但我无法实现它,因为当我传递变量“generate_series”时出现错误:
创建一个变量来存储每个表的最大天数。
datetime_end := to_char(now()::date,'YYY-MM-DD');
将变量传递给以下查询:
SELECT generate_series(
timestamp without time zone '2017-10-01',
timestamp without time zone datetime_end,
'15 minute');
提前致谢。
从 TABLE_MACHINE_1 FULL OUTER JOIN TABLE_MACHINE_2 ON DATETIME
那不是有效的 SQL。
如果您使用USING
而不是 进行连接ON
,那么它将自动合并列。
select
datetime,
t1.sensor_1,
t2.sensor_2
from table_machine_1 t1
full outer join table_machine_2 t2
USING (datetime)
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我来说两句