Google bigquery 如何在google bigquery中编写查询来推断列的数据类型？

我有一个包含所有字符串列的表，但我知道某些列是数字（或日期）。BigQuery中是否有一个内置函数来推断各个列的数据类型？类似于从表名称中选择字符串（列名称）

想到的一个想法是将

SAFE\u CAST

与

LOGICAL\u和

结合使用，例如：

#standardSQL
WITH T AS (
  SELECT '2017-05-01' AS x, '3.14' AS y, '5' AS z UNION ALL
  SELECT '2017-03-02' AS x, '1.59' AS y, '-1' AS z UNION ALL
  SELECT NULL AS x, NULL AS y, NULL AS z
)
SELECT
  LOGICAL_AND(x IS NULL OR SAFE_CAST(x AS DATE) IS NOT NULL) AS x_is_date,
  LOGICAL_AND(y IS NULL OR SAFE_CAST(y AS FLOAT64) IS NOT NULL) AS y_is_float64,
  LOGICAL_AND(z IS NULL OR SAFE_CAST(z AS TIMESTAMP) IS NOT NULL) AS z_is_timestamp
FROM T;

这将导致true、true和false（

z

值不是时间戳）。如果要多次重复使用同一表达式，可以使用SQL UDF使其不那么冗长：

#standardSQL
CREATE TEMP FUNCTION IsDate(x STRING) AS (
  x IS NULL OR SAFE_CAST(x AS DATE) IS NOT NULL
);

WITH T AS (
  SELECT '2017-05-01' AS x, '3.14' AS y, '5' AS z UNION ALL
  SELECT '2017-03-02' AS x, '1.59' AS y, '-1' AS z UNION ALL
  SELECT NULL AS x, NULL AS y, NULL AS z
)
SELECT
  LOGICAL_AND(IsDate(x)) AS x_is_date,
  LOGICAL_AND(IsDate(y)) AS y_is_date,
  LOGICAL_AND(IsDate(z)) AS z_is_date
FROM T;

这会导致true、false、false，因为只有

x

具有日期格式的值