我是 BQ 的新手。我有一个表,其中一些列是重复记录的。我正在尝试平展表格,所以它会是一种关系,并将平展数据插入新的 BigQuery 表格。可能吗?我该怎么做?
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以下是 BigQuery 标准 SQL
假设您有如下简单的表格
Row id repeated_record
--- -- ---------------
1 1 google
facebook
viant
2 2 dell
hp
您可以使用以下查询轻松模仿它
#standardSQL
WITH `table-with-repeated-record` AS (
SELECT 1 AS id, ['google', 'facebook', 'viant'] AS repeated_record UNION ALL
SELECT 2, ['dell', 'hp']
)
SELECT *
FROM `table-with-repeated-record`
所以现在,让它变平 - 使用下面的查询
#standardSQL
WITH `table-with-repeated-record` AS (
SELECT 1 AS id, ['google', 'facebook', 'viant'] AS repeated_record UNION ALL
SELECT 2, ['dell', 'hp']
)
SELECT id, flatted_data
FROM `table-with-repeated-record`,
UNNEST(repeated_record) AS flatted_data
结果如下
Row id flatted_data
--- -- ------------
1 1 google
2 1 facebook
3 1 viant
4 2 dell
5 2 hp
下面是另一个例子
#standardSQL
WITH `table-with-repeated-record` AS (
SELECT 1 AS id, [STRUCT<line INT64, name STRING>(1, 'google'), (2, 'facebook'), (3, 'viant')] AS repeated_record UNION ALL
SELECT 2, [STRUCT<line INT64, name STRING>(5, 'dell'), (6, 'hp')]
)
SELECT *
FROM `table-with-repeated-record`
模仿下表
Row id repeated_record.line repeated_record.name
--- -- -------------------- --------------------
1 1 1 google
2 facebook
3 viant
2 2 5 dell
6 hp
将其展平的方法是:
#standardSQL
WITH `table-with-repeated-record` AS (
SELECT 1 AS id, [STRUCT<line INT64, name STRING>(1, 'google'), (2, 'facebook'), (3, 'viant')] AS repeated_record UNION ALL
SELECT 2, [STRUCT<line INT64, name STRING>(5, 'dell'), (6, 'hp')]
)
SELECT id, flatted_data.line, flatted_data.name
FROM `table-with-repeated-record`,
UNNEST(repeated_record) AS flatted_data
最后是
Row id line name
--- -- ---- ----
1 1 1 google
2 1 2 facebook
3 1 3 viant
4 2 5 dell
5 2 6 hp
您知道如何在不指定 ['google'、'facebook'、'viant'] 等数据的情况下执行此操作吗?表的大小不是恒定的,它会不时发生变化,以及存储在表中的数据,我唯一确定的是列
您应该只在下面使用(没有用作示例的虚拟数据,并且您可以使用查询)
#standardSQL
SELECT id, flatted_data.line, flatted_data.name
FROM `yourProject.yourDataset.yourTable`,
UNNEST(repeated_record) AS flatted_data
于 2017-08-09T22:17:02.843 回答