BigQuery 优化查询，过滤嵌套的 STRUCT 字段数组并返回分组

Question

我想弄清楚如何编写 GQL (Google SQL) 查询来过滤深度嵌套的结构，然后再次嵌套它并在与ARRAY同级别。

我准备了一个模式示例

 WITH
      Sale AS (
      SELECT
        "1" AS _id,
        STRUCT("11" AS _id,
          "SERVICE" AS feedbackType,
          DATE(TIMESTAMP("2017-01-20 14:05:51.655")) AS createDate) AS serviceFeedback,
        [STRUCT("host" AS key,
          "localhost" AS value),
        STRUCT("location" AS key,
          "Paris" AS value)] AS tags,
        TRUE AS reviewed,
        [STRUCT("1" as saleId, STRUCT("101" AS _id,
            "PRODUCT" AS feedbackType,
            DATE(TIMESTAMP("2017-01-20 14:05:51.655")) AS createDate) AS productFeedback),
        STRUCT("1" as saleId, STRUCT("102" AS _id,
            "PRODUCT" AS feedbackType,
            DATE(TIMESTAMP("2017-01-20 14:06:51.655")) AS createDate) AS productFeedback) ] AS saleItems,
        DATE(TIMESTAMP("2017-01-20 14:05:51.655")) AS latestFeedbackDate )

过滤需要一个将所有嵌套字段展平的源过滤查询。

SELECT
  saleId,
  serviceFeedback,
  saleTags,
  reviewed,
  saleItems,
  latestFeedbackDate
FROM (
  SELECT
    sale._id AS saleId,
    serviceFeedback,
    sale.tags AS saleTags,
    reviewed,
    saleItems,
    latestFeedbackDate
  FROM
    `Sale` AS sale,
    sale.saleItems AS saleItems
  WHERE
    reviewed = TRUE
    AND serviceFeedback.createDate >= DATE(TIMESTAMP("2017-01-18 14:05:51.655"))
    AND serviceFeedback._id IS NOT NULL
    AND saleItems.productFeedback.createDate >= DATE(TIMESTAMP("2017-01-18 14:05:51.655")))
ORDER BY
  latestFeedbackDate DESC
LIMIT
  20

主要问题是，在过滤之后想要将所有 saleItems 按 sale._id（return 初始结构）分组并检索具有类型的 serviceFeedback 字段结构。

JSON格式的预期结果是：

{
    "saleId":"1",
    "serviceFeedback":{"_id":"11","feedbackType":"SERVICE","createDate":"2017-01-20"},
    "saleTags":[{"key":"host","value":"localhost"},{"key":"location","value":"Paris"}],
    "reviewed":"true",
    "saleItems":[
        {"saleId":"1","productFeedback":{"_id":"101","feedbackType":"PRODUCT","createDate":"2017-01-20"},
        {"saleId":"1","productFeedback":{"_id":"102","feedbackType":"PRODUCT","createDate":"2017-01-20"},
    ],
    "latestFeedbackDate":"2017-01-20"
}

我写下了我想到的最简单的查询想法。它产生正确的结果。但可能可以更有效地重写它，

SELECT
  saleId,
  serviceFeedback,
  latestFeedbackDate,
  subQuery.saleItems as saleItems
FROM
  sale
RIGHT JOIN (
  SELECT
    saleId,
    ARRAY_AGG(saleItems) as saleItems
  FROM (
    SELECT
      saleId,
      saleItems
    FROM (
      SELECT
        sale._id AS saleId,
        latestFeedbackDate,
        saleItems
      FROM
        `Sale` AS sale,
        sale.saleItems AS saleItems
      WHERE
        reviewed = TRUE
        AND serviceFeedback.createDate >= DATE(TIMESTAMP("2017-01-18 14:05:51.655"))
        AND serviceFeedback._id IS NOT NULL
        AND saleItems.productFeedback.createDate >= DATE(TIMESTAMP("2017-01-18 14:05:51.655")))
    ORDER BY
      latestFeedbackDate DESC)
  GROUP BY
    saleId
    ) AS subQuery
ON
  sale._id = subQuery.saleId

你能建议我一个更好的解决方案来达到同样的效果吗？

Answer 1

Could you suggest me a better solution to achieve the same results?

下面生成与原始 table 完全相同的架构，只是将需要的过滤器应用于 saleItems

#standardSQL
SELECT * REPLACE(
  ARRAY(
    SELECT saleItems FROM UNNEST(saleItems) saleItems 
    WHERE reviewed = TRUE
      AND serviceFeedback.createDate >= DATE(TIMESTAMP("2017-01-18 14:05:51.655"))
      AND serviceFeedback._id IS NOT NULL
      AND saleItems.productFeedback.createDate >= DATE(TIMESTAMP("2017-01-18 14:05:51.655"))
  ) AS saleItems)
FROM sale

如果您只需要字段的子集 - 使用下面的示例

#standardSQL
SELECT 
  _id saleId,
  serviceFeedback,
  ARRAY(
    SELECT saleItems FROM UNNEST(saleItems) saleItems 
    WHERE reviewed = TRUE
      AND serviceFeedback.createDate >= DATE(TIMESTAMP("2017-01-18 14:05:51.655"))
      AND serviceFeedback._id IS NOT NULL
      AND saleItems.productFeedback.createDate >= DATE(TIMESTAMP("2017-01-18 14:05:51.655"))
  ) AS saleItems
FROM sale

BigQuery 优化查询，过滤嵌套的 STRUCT 字段数组并返回分组

BigQuery optimisation query with filtering on nested array of STRUCT fields and grouping back

sql

google-bigquery

gql

gqlquery

bigquery-standard-sql