具有多个数组的 unnest 的 Jooq 表示法

Question

我想混合外部每个位置的时区信息来过滤具有没有时区的时间戳值的行。

我如何在 Jooq 中表达这个 SQL (Postgresql) sn-p

WITH 
    now(locaton, value) AS (
        SELECT 
            * 
        FROM unnest(
            ARRAY[1,2]::BIGINT[],
            ARRAY['2017-05-28 09:30','2017-05-28 10:30']::TIMESTAMP[])
    ) 
SELECT * 
FROM now;

不太理想但仍在工作的 sn-p 是：

WITH 
    now(locaton, value) AS (
        SELECT 
            unnest(ARRAY[1,2]::BIGINT[]) as location,
            unnest(ARRAY['2017-05-28 09:30','2017-05-28 10:30']::TIMESTAMP[]) as value
    ) 
SELECT * 
FROM now;

可能更正确的一个（被Add support for the SQL Standard WITH ORDINALITY clause #5799屏蔽）

SELECT location, value
FROM 
  unnest(ARRAY[1,2]::BIGINT[]) WITH ORDINALITY as location
  JOIN unnest(ARRAY['2017-05-28 09:30','2017-05-28 10:30']::TIMESTAMP[]) WITH ORDINALITY as value 
  USING (ordinality);

得到

location    |        value
------------+---------------------
         1  | 2017-05-28 09:30:00
         2  | 2017-05-28 10:30:00
(2 rows)

Answer 1

好吧，我用普通的 SQL 解决了它

DSL
    .with("now", "location", "value")
    .as(
        create
            .select(
                DSL.field("location"),
                DSL.field("value")
            )
            .from(
                DSL
                    .table(
                        "UNNEST(?::BIGINT[]) WITH ORDINALITY",
                        DSL.val(Arrays.asList(1L, 2L).toArray())
                    )
                    .as("location")
                    .join(
                        DSL
                            .table(
                                "UNNEST(?::TIMESTAMP[]) WITH ORDINALITY",
                                DSL.val(
                                    Arrays.asList(
                                        LocalDateTime.of(2017, 05, 28, 9, 30),
                                        LocalDateTime.of(2017, 05, 28, 10, 30)
                                    ).toArray()
                                )
                            )
                            .as("value")
                    )
                    .using(
                        DSL.field("ordinality")
                    )
            )
    )
    .select()
    .from(DSL.table("now"));