具有多个列值的 postgres crosstab()

Question

我需要在 postgres 中为每个 id（行）成对转置值。 我设法编写了不同的查询，我想知道如何低于所需的 output。 到目前为止，我正在手动编写年份列值，有没有办法根据新记录（带有新年）自动 append 新列？

这是起始表：

table imu_val_v (LIMIT 10)
+-----+----+------+------------+-------------+------------+
| rid | id | year | omi_val_mq | val_mq_area | val_mq_net |
+=====+====+======+============+=============+============+
| 110 | 1  | 2018 | 1200.00    | 9.12        | 7.75       |
+-----+----+------+------------+-------------+------------+
| 109 | 1  | 2017 | 1100.00    | 8.36        | 7.11       |
+-----+----+------+------------+-------------+------------+
| 139 | 2  | 2017 | 300.00     | 0.45        | 0.38       |
+-----+----+------+------------+-------------+------------+
| 157 | 3  | 2017 | 1000.00    | 152.00      | 129.20     |
+-----+----+------+------------+-------------+------------+
| 160 | 4  | 2017 | 1000.00    | 152.00      | 129.20     |
+-----+----+------+------------+-------------+------------+
| 163 | 5  | 2017 | 1000.00    | 152.00      | 129.20     |
+-----+----+------+------------+-------------+------------+
| 166 | 6  | 2017 | 1000.00    | 152.00      | 129.20     |
+-----+----+------+------------+-------------+------------+
| 175 | 7  | 2017 | 600.00     | 62.40       | 56.16      |
+-----+----+------+------------+-------------+------------+
| 178 | 8  | 2017 | 600.00     | 62.40       | 56.16      |
+-----+----+------+------------+-------------+------------+
| 181 | 9  | 2017 | 600.00     | 78.00       | 70.20      |
+-----+----+------+------------+-------------+------------+

使用以下交叉表查询：

 SELECT
    ct2.id,
    ct2."2017_omi [€]",
    ct2."2018_omi [€]",
    ct2."2019_omi [€]"
   FROM crosstab('SELECT id, anno, ROUND(omi_val_mq::numeric,2)
    FROM   imu.valore_v v 
    ORDER BY 1,2
LIMIT 10') ct2 (id integer, "2017_omi [€]" numeric, "2018_omi [€]" numeric, "2019_omi [€]" numeric)

我得到：

+----+--------------+--------------+--------------+
| id | 2017_omi [€] | 2018_omi [€] | 2019_omi [€] |
+====+==============+==============+==============+
| 1  | 1100.00      | 1200.00      | NULL         |
+----+--------------+--------------+--------------+
| 2  | 300.00       | NULL         | NULL         |
+----+--------------+--------------+--------------+
| 3  | 1000.00      | NULL         | NULL         |
+----+--------------+--------------+--------------+
| 4  | 1000.00      | NULL         | NULL         |
+----+--------------+--------------+--------------+
| 5  | 1000.00      | NULL         | NULL         |
+----+--------------+--------------+--------------+
| 6  | 1000.00      | NULL         | NULL         |
+----+--------------+--------------+--------------+
| 7  | 600.00       | NULL         | NULL         |
+----+--------------+--------------+--------------+
| 8  | 600.00       | NULL         | NULL         |
+----+--------------+--------------+--------------+
| 9  | 600.00       | NULL         | NULL         |
+----+--------------+--------------+--------------+

并使用不同的查询：

SELECT
    ct.id,
    ct."2017_val",
    ct."2018_val",
    ct."2019_val"
   FROM crosstab('SELECT v.id, v.anno, v.val_mq_net
    FROM   imu.valore_v v 
    ORDER BY 1,2 LIMIT 10') ct (id integer, "2017_val" numeric, "2018_val" numeric, "2019_val" numeric)

我可以得到：

+----+----------+----------+----------+
| id | 2017_val | 2018_val | 2019_val |
+====+==========+==========+==========+
| 1  | 7.11     | 7.75     | NULL     |
+----+----------+----------+----------+
| 2  | 0.38     | NULL     | NULL     |
+----+----------+----------+----------+
| 3  | 129.20   | NULL     | NULL     |
+----+----------+----------+----------+
| 4  | 129.20   | NULL     | NULL     |
+----+----------+----------+----------+
| 5  | 129.20   | NULL     | NULL     |
+----+----------+----------+----------+
| 6  | 129.20   | NULL     | NULL     |
+----+----------+----------+----------+
| 7  | 56.16    | NULL     | NULL     |
+----+----------+----------+----------+
| 8  | 56.16    | NULL     | NULL     |
+----+----------+----------+----------+
| 9  | 70.20    | NULL     | NULL     |
+----+----------+----------+----------+

我最终想要的 output 将是：

DESIRED OUTPUT

+----+--------------+----------+--------------+----------+--------------+----------+
| id | 2017_omi [€] | 2017_val | 2018_omi [€] | 2018_val | 2019_omi [€] | 2019_val |
+====+==============+==========+==============+==========+==============+==========+
| 1  | 1100.00      | 7.11     | 1200.00      | 7.75     | NULL         | NULL     |
+----+--------------+----------+--------------+----------+--------------+----------+
| 2  | 300.00       | 0.38     | NULL         | NULL     | NULL         | NULL     |
+----+--------------+----------+--------------+----------+--------------+----------+
| 3  | 1000.00      | 129.20   | NULL         | NULL     | NULL         | NULL     |
+----+--------------+----------+--------------+----------+--------------+----------+
| 4  | 1000.00      | 129.20   | NULL         | NULL     | NULL         | NULL     |
+----+--------------+----------+--------------+----------+--------------+----------+
| 5  | 1000.00      | 129.20   | NULL         | NULL     | NULL         | NULL     |
+----+--------------+----------+--------------+----------+--------------+----------+
| 6  | 1000.00      | 129.20   | NULL         | NULL     | NULL         | NULL     |
+----+--------------+----------+--------------+----------+--------------+----------+
| 7  | 600.00       | 56.16    | NULL         | NULL     | NULL         | NULL     |
+----+--------------+----------+--------------+----------+--------------+----------+
| 8  | 600.00       | 56.16    | NULL         | NULL     | NULL         | NULL     |
+----+--------------+----------+--------------+----------+--------------+----------+
| 9  | 600.00       | 70.20    | NULL         | NULL     | NULL         | NULL     |
+----+--------------+----------+--------------+----------+--------------+----------+

我在问我是否可以只使用一个查询来获取它，以及（通过视图）是否可以在将新记录添加到初始表后自动添加新年列对，而无需手动编写每个所需的新列，谢谢。