连接具有相同结构但不同数据的多个表

Question

我正在尝试在 8 个 table 之间进行连接，因为每个 table 都有超过 500,000 个条目，所以速度非常慢。我想知道，你有什么最好的方法加入这些 tables 吗？

所有 table 的结构都是这样的：

data_temprature:

+----+----------+-----+-----------+----------+
| ID_geo | NAME     | Value | Date            |
+--------+----------+-------+-----------------+
|  10005 | Madrid   |  32   | 2017-06-12 08:00|
|  10005 | Madrid   |  25   | 2017-06-12 09:00|
|  12701 | Paris    |  23   | 2017-06-12 08:00|
|  13006 | Tokyo    |  25   | 2017-06-12 11:00|
|  11132 | Sevilla  |  27   | 2017-06-12 16:00|
|  21333 | London   |  22   | 2017-06-12 17:00|
+--------+----------+-------+-----------------+

data_WeatherSimbol

+----+----------+-----+-----------+----------+
| ID_geo | NAME     | Value | Date            |
+--------+----------+-------+-----------------+
|  10005 | Madrid   |  A+   | 2017-06-12 08:00|
|  10005 | Madrid   |  A    | 2017-06-12 09:00|
|  12701 | Paris    |  A-   | 2017-06-12 08:00|
|  13006 | Tokyo    |  C-   | 2017-06-12 11:00|
|  11132 | Sevilla  |  I+   | 2017-06-12 16:00|
|  21333 | London   |  D-   | 2017-06-12 17:00|
+--------+----------+-------+-----------------+

我想进行连接以获得此结果：

+----+----------+-----+-----------+----------+-----------------+
| ID_geo | NAME     | Temperature | Simboles |      Date       |
+--------+----------+-------------+----------+-----------------+
|  10005 | Madrid   |      32     |    A+    | 2017-06-12 08:00|
|  10005 | Madrid   |      25     |    A     | 2017-06-12 09:00|
|  12701 | Paris    |      23     |    A-    | 2017-06-12 08:00|
|  13006 | Tokyo    |      25     |    C-    | 2017-06-12 11:00|
|  11132 | Sevilla  |      27     |    I+    | 2017-06-12 16:00|
|  21333 | London   |      22     |    D-    | 2017-06-12 17:00|
+--------+----------+-------------+----------+-----------------+

谢谢

更新真实数据提供：

执行计划： https://files.fm/u/b4besk27

这是查询：

    SELECT
    cielo.data_value AS cielo,
    lluv.data_value AS lluvia,
  temp.data_value AS temp,
  vientos.data_value AS viento,
  tmin.data_value AS tempmin,
  tmax.data_value AS tempmax, 
    cielo.data_date AS DiaPrev
FROM
    data_cielo AS cielo
INNER JOIN data_lluvia AS lluv ON cielo.data_geo = lluv.data_geo
INNER JOIN data_presion AS pres ON cielo.data_geo = pres.data_geo
INNER JOIN data_temp AS temp ON cielo.data_geo = temp.data_geo
LEFT JOIN data_tempmax AS tmax ON cielo.data_geo = tmax.data_geo
LEFT JOIN data_tempmin AS tmin ON cielo.data_geo = tmin.data_geo
INNER JOIN data_viento AS vientos ON cielo.data_geo = vientos.data_geo

WHERE
    cielo.data_date = lluv.data_date
AND pres.data_date = cielo.data_date
AND vientos.data_date = pres.data_date
AND temp.data_date = vientos.data_date
AND cielo.data_geo = 46 ORDER BY cielo.data_date;
and this is the result:

E+  0.0461028   29.6937088  S2  19.408  36.39   2017-06-13 12:00:00.000
E+  0.0461028   29.6937088  S2  21.422  36.39   2017-06-13 12:00:00.000
E+  0.0461028   29.6937088  S2  19.408  37.853  2017-06-13 12:00:00.000
E+  0.0461028   29.6937088  S2  21.422  37.853  2017-06-13 12:00:00.000
E+  0.0461028   30.7593854  S2  19.408  36.39   2017-06-13 13:00:00.000
E+  0.0461028   30.7593854  S2  21.422  36.39   2017-06-13 13:00:00.000
E+  0.0461028   30.7593854  S2  19.408  37.853  2017-06-13 13:00:00.000
E+  0.0461028   30.7593854  S2  21.422  37.853  2017-06-13 13:00:00.000
A+  0.0461028   31.6310774  SSW2    19.408  36.39   2017-06-13 14:00:00.000
A+  0.0461028   31.6310774  SSW2    21.422  36.39   2017-06-13 14:00:00.000
A+  0.0461028   31.6310774  SSW2    19.408  37.853  2017-06-13 14:00:00.000
A+  0.0461028   31.6310774  SSW2    21.422  37.853  2017-06-13 14:00:00.000
A   0.0461028   32.2647927  S2  19.408  36.39   2017-06-13 15:00:00.000
A   0.0461028   32.2647927  S2  21.422  36.39   2017-06-13 15:00:00.000
A   0.0461028   32.2647927  S2  19.408  37.853  2017-06-13 15:00:00.000

它不应该像这样，我需要像我所说的温度、压力、沉淀、天空等每小时数据值的结果，......

Answer 1

试试这个

;With data_temprature(ID_geo,NAME,Value,[Date])
AS
(
SELECT  10005 , 'Madrid'   ,  32   , '2017-06-12 08:00' Union all
SELECT  10005 , 'Madrid'   ,  25   , '2017-06-12 09:00' Union all
SELECT  12701 , 'Paris'    ,  23   , '2017-06-12 08:00' Union all
SELECT  13006 , 'Tokyo'    ,  25   , '2017-06-12 11:00' Union all
SELECT  11132 , 'Sevilla'  ,  27   , '2017-06-12 16:00' Union all
SELECT  21333 , 'London'   ,  22   , '2017-06-12 17:00' 
)
,data_WeatherSimbol(ID_geo,NAME,Value,[Date])
AS
(
SELECT  10005 , 'Madrid'   ,  'A+'   , '2017-06-12 08:00' Union all
SELECT  10005 , 'Madrid'   ,  'A'   ,  '2017-06-12 09:00' Union all
SELECT  12701 , 'Paris'    ,  'A-'   , '2017-06-12 08:00' Union all
SELECT  13006 , 'Tokyo'    ,  'C-'   , '2017-06-12 11:00' Union all
SELECT  11132 , 'Sevilla'  ,  'I+'   , '2017-06-12 16:00' Union all
SELECT  21333 , 'London'   ,  'D-'   , '2017-06-12 17:00' 
)
SELECT ID_geo,
       NAME,
       Temperature,
       Symboles,
       [Date]  From 
(
SELECT t.ID_geo ,
        t.NAME ,
        t.Value AS Temperature,
        w.Value AS Symboles,t.[Date] ,
        ROW_NUMBER()OVER(PARTITION BY t.Value,t.[Date] ORDER BY t.[Date]) AS Rno
 FROM data_temprature t
INNER join data_WeatherSimbol w
On t.ID_geo=w.ID_geo
)Dt 
WHERE Dt.Rno=1
ORDER BY ID_geo

Answer 2

我想你可以加入地理和日期：

select t.*, ws.simboles
from data_temperature t join
     data_WeatherSimbol ws
     on t.ID_geo = ws.ID_geo and t.date = ws.date;

Answer 3

[ID_geo] 和 [Date] 似乎都不够独特，无法加入，所以：

为所有表的两列创建索引，如

create index IX_data_temprature on data_temprature ([ID_geo], [Date])
按[ID_geo]、[Date]

Answer 4

大部分查询负载是由 RID 查找引起的。

RID 查找在索引不包含查询时使用（Sql 必须查找 table 中的值，因为它们不包含在索引中）并且索引是非-集群。

如果您使用覆盖索引，您的查询可能会更快，您可能没有在索引中包含值。有关包含的更多信息，请参见 Microsoft docs。

如果您将非聚集索引更改为聚集索引，这也可能有所帮助。

连接具有相同结构但不同数据的多个表

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