如何过滤包含数组数据的 BigQuery 数据集？

如何解决如何过滤包含数组数据的 BigQuery 数据集？

我有一个包含数组数据的查询。我需要做的是执行可以过滤以下屏幕结果的查询，例如：

“给我带来玩家亚历克斯的数据”。这应该带来 2 行：

1. [e-mail],2021-01-13 09:32:55.113 UTC,alex,4,[8,10]
2. [e-mail],2021-01-13 09:30:07.572 UTC,10,[13,14]

如何构造这样的查询？

解决方法

在 BigQuery 的标准 SQL 中尝试以下操作：

with data as (
  select    "[e-mail]" as email,CURRENT_TIMESTAMP() as timestamp,['player1','alex','p3'] as player,[4,4,4] as must_respond_in,['2,9','8,10','7'] as responses
  UNION ALL
  select    "[e-mail]" as email,[14,10,14] as must_respond_in,['1,16','13,14','0,0'] as responses
)
select  email,timestamp,player[offset(x)],must_respond_in[offset(x)],responses[offset(x)]
from data,unnest(data.player) as player_name with offset x where player_name = 'alex';

我使用 WITH OFFSET 子句来选择我需要的元素。 WITH 子句用于模拟您的数据。

,

另一种选择

select  email,player,must_respond_in,responses
from data t,t.player as player with offset
left join t.must_respond_in as must_respond_in with offset using(offset)
left join t.responses as responses with offset using(offset)
where player = 'alex'   

如果适用于您问题中的样本数据 - 输出为