将 BigQuery 嵌套字段内容展平为新列而不是行答案

【问题标题】：Flatten BigQuery nested field contents into new columns instead of rows将 BigQuery 嵌套字段内容展平为新列而不是行
【发布时间】：2016-08-08 22:41:56
【问题描述】：

我有一些格式如下的 BigQuery 数据：

"thing": [
  {
    "name": "gameLost",
    "params": [
      {
        "key": "total_games",
        "val": {
          "str_val": "3",
          "int_val": null
        }
      },
      {
        "key": "games_won",
        "val": {
          "str_val": "2",
          "int_val": null
        }
      },
      {
        "key": "game_time",
        "val": {
          "str_val": "44",
          "int_val": null
        }
      }
    ],
    "dt_a": "1470625311138000",
    "dt_b": "1470620345566000"
  }

我知道 FLATTEN() 函数会产生 3 行的输出，如下所示：

+------------+------------------+------------------+--------------------+--------------------------+--------------------------+
| thing.name | thing.dt_a       | event_dim.dt_b   | thing.params.key   | thing.params.val.str_val | thing.params.val.int_val |
+------------+------------------+------------------+--------------------+--------------------------+--------------------------+
| gameLost   | 1470625311138000 | 1470620345566000 | total_games_played | 3                        | null                     |
|            |                  |                  |                    |                          |                          |
| gameLost   | 1470625311138000 | 1470620345566000 | games_won          | 2                        | null                     |
|            |                  |                  |                    |                          |                          |
| gameLost   | 1470625311138000 | 1470620345566000 | game_time          | 44                       | null                     |
+------------+------------------+------------------+--------------------+--------------------------+--------------------------+

更高级别的键/值被重复到每个更深层次对象的新行中。

但是，我需要将更深层次的键/值输出为全新的列，而不是重复字段，因此结果如下所示：

+------------+------------------+------------------+--------------------+-----------+-----------+
| thing.name | thing.dt_a       | event_dim.dt_b   | total_games_played | games_won | game_time |
+------------+------------------+------------------+--------------------+-----------+-----------+
| gameLost   | 1470625311138000 | 1470620345566000 | 3                  | 2         | 44        |
+------------+------------------+------------------+--------------------+-----------+-----------+

我该怎么做？
谢谢！

【问题讨论】：

标签： google-bigquery

【解决方案1】：

Standard SQL 使这更容易表达（取消选中“显示选项”下的“使用旧版 SQL”）：

WITH T AS (
  SELECT STRUCT(
    "gameLost" AS name,
    ARRAY<STRUCT<key STRING, val STRUCT<str_val STRING, int_val INT64>>>[
      STRUCT("total_games", STRUCT("3", NULL)),
      STRUCT("games_won", STRUCT("2", NULL)),
      STRUCT("game_time", STRUCT("44", NULL))] AS params,
    1470625311138000 AS dt_a,
    1470620345566000 AS dt_b) AS thing
)
SELECT
  (SELECT AS STRUCT thing.* EXCEPT (params)) AS thing,
  thing.params[OFFSET(0)].val.str_val AS total_games_played,
  thing.params[OFFSET(1)].val.str_val AS games_won,
  thing.params[OFFSET(2)].val.str_val AS game_time
FROM T;
+-------------------------------------------------------------------------+--------------------+-----------+-----------+
|                                  thing                                  | total_games_played | games_won | game_time |
+-------------------------------------------------------------------------+--------------------+-----------+-----------+
| {"name":"gameLost","dt_a":"1470625311138000","dt_b":"1470620345566000"} | 3                  | 2         | 44        |
+-------------------------------------------------------------------------+--------------------+-----------+-----------+

如果不知道数组中键的顺序，可以使用子选择来提取相关值：

WITH T AS (
  SELECT STRUCT(
    "gameLost" AS name,
    ARRAY<STRUCT<key STRING, val STRUCT<str_val STRING, int_val INT64>>>[
      STRUCT("total_games", STRUCT("3", NULL)),
      STRUCT("games_won", STRUCT("2", NULL)),
      STRUCT("game_time", STRUCT("44", NULL))] AS params,
    1470625311138000 AS dt_a,
    1470620345566000 AS dt_b) AS thing
)
SELECT
  (SELECT AS STRUCT thing.* EXCEPT (params)) AS thing,
  (SELECT val.str_val FROM UNNEST(thing.params) WHERE key = "total_games") AS total_games_played,
  (SELECT val.str_val FROM UNNEST(thing.params) WHERE key = "games_won") AS games_won,
  (SELECT val.str_val FROM UNNEST(thing.params) WHERE key = "game_time") AS game_time
FROM T;

【讨论】：

喜欢标准 SQL 的新特性！！！真的会！同时，我认为您不能依靠 order/offset 来检索键的值-除非保证键按特定顺序排列-在我的实践中通常不是这样
谢谢！我更新了我的答案，以说明这也是如何工作的。
感谢@MikhailBerlyant 和@ElliottBrossard！你们让我开始了，但是在尝试应用到我更复杂的数据源时遇到了更多问题。我在这里打开了一个新的相关问题：stackoverflow.com/questions/38860534/…

【解决方案2】：

试试下面（旧版 SQL）

SELECT 
  thing.name AS name,
  thing.dt_a AS dt_a,
  thing.dt_b AS dt_b
  MAX(IF(thing.params.key = "total_games_played", INTEGER(thing.params.val.str_val), 0)) WITHIN RECORD AS total_games_played,
  MAX(IF(thing.params.key = "games_won", INTEGER(thing.params.val.str_val), 0)) WITHIN RECORD AS games_won,
  MAX(IF(thing.params.key = "game_time", INTEGER(thing.params.val.str_val), 0)) WITHIN RECORD AS game_time,
FROM YourTable

对于标准 SQL，您可以尝试（受 Elliott 的回答启发 - 重要区别 - 数组按键排序，因此键值的顺序得到保证）

WITH Temp AS (
  SELECT 
    (SELECT AS STRUCT thing.* EXCEPT (params)) AS thing,
    ARRAY(SELECT val.str_val AS val FROM UNNEST(thing.params) ORDER BY key) AS params
  FROM YourTable
)
SELECT 
  thing, 
  params[OFFSET(2)] AS total_games_played,
  params[OFFSET(1)] AS games_won,
  params[OFFSET(0)] AS game_time
FROM Temp

注意：如果参数中有其他键 - 你应该在 ARRAY 中添加 WHERE 子句到 SELECT

【讨论】：