【问题标题】:Flatten multiple same-sized array columns in BigQuery table在 BigQuery 表中展平多个相同大小的数组列
【发布时间】:2020-03-01 17:33:20
【问题描述】:

我有一个包含几列的表,其中一些列是长度相同的数组。我想解除它们的嵌套,以获得一个结果,其中包含来自不同行的数组中的值。

所以有这样一张桌子:

我想去:

这是其中一个数组列的工作方式:

WITH data AS
(
  SELECT 1001 as id, ['a', 'b', 'c'] as array_1, [1, 2, 3] as array_2
  UNION ALL
  SELECT 1002 as id, ['d', 'e', 'f', 'g'] as array_1, [4, 5, 6, 7] as array_2
  UNION ALL
  SELECT 1003 as id, ['h', 'i'] as array_1, [8, 9] as array_2
)
SELECT id, a1
FROM data,
UNNEST(array_1) as a1

有没有一些优雅的方法可以同时解除两个数组的嵌套?我想避免单独取消嵌套每一列,然后将所有内容连接在一起。

【问题讨论】:

    标签: sql google-bigquery flatten unnest


    【解决方案1】:

    您可以使用with offsetjoin

    WITH data AS
    (
      SELECT 1001 as id, ['a', 'b', 'c'] as array_1, [1, 2, 3] as array_2
      UNION ALL
      SELECT 1002 as id, ['d', 'e', 'f', 'g'] as array_1, [4, 5, 6, 7] as array_2
      UNION ALL
      SELECT 1003 as id, ['h', 'i'] as array_1, [8, 9] as array_2
    )
    SELECT id, a1, a2
    FROM data cross join
         UNNEST(array_1) as a1 with offset n1 JOIN
         UNNEST(array_2) as a2 with offset n2 
         on n1 = n2
    

    【讨论】:

      【解决方案2】:

      以下是 BigQuery 标准 SQL

      #standardSQL
      SELECT id, a1, a2
      FROM data, UNNEST(array_1) AS a1 WITH OFFSET 
      JOIN UNNEST(array_2) AS a2 WITH OFFSET
      USING(OFFSET)
      

      【讨论】:

        【解决方案3】:

        所以我自己做了一些关于在 SQL 中取消嵌套的研究,并提出了这个解决方案:

        WITH data AS
        (
          SELECT 1001 as id, ['a', 'b', 'c'] as array_1, [1, 2, 3] as array_2
          UNION ALL
          SELECT 1002 as id, ['d', 'e', 'f', 'g'] as array_1, [4, 5, 6, 7] as array_2
          UNION ALL
          SELECT 1003 as id, ['h', 'i'] as array_1, [8, 9] as array_2
        )
        SELECT id, a1, array_2[OFFSET(off)] AS a2
        FROM data
        CROSS JOIN UNNEST(array_1) AS a1 WITH OFFSET off
        

        优点是它不需要取消嵌套所有数组,只需要一个。

        【讨论】:

        • 谢谢,这解决了我遇到的类似问题。您能否指向文档以阅读有关 offset 关键字的更多信息?我似乎不明白它在这种情况下是如何工作的。
        猜你喜欢
        • 2016-07-05
        • 1970-01-01
        • 2012-07-28
        • 2021-08-28
        • 1970-01-01
        • 2020-09-02
        • 2012-04-21
        • 1970-01-01
        • 1970-01-01
        相关资源
        最近更新 更多