有没有办法通过数组的内容过滤 BigQuery 中的行？

Question

我在 BigQuery table 中有如下所示的数据：

[
    { "id": 1, "labels": [{"key": "a", "value": 1}, {"key": "b", "value": 2}] },
    { "id": 2, "labels": [{"key": "a", "value": 1}, {"key": "b", "value": 3}] },
    // a lot more rows
]

我的问题是，如何找到 "key" = "a"、"value" = 1 以及 "key" = "b" 和 "value" = 3 的所有行？

我已经尝试过各种形式的使用 UNNEST 但我一直无法正确使用。 CROSS JOIN 为 labels 数组中的每个对象留下一行，使我无法同时查询它们。

Answer 1

试试这个：

select *
from mytable
where exists (select 1 from unnest(labels) where key = "a" and value=1)
  and exists (select 1 from unnest(labels) where key = "b" and value=3)

Answer 2

假设标签数组中没有重复条目 - 您可以使用下面的方法

select *
from `project.dataset.table` t
where 2 = (
  select count(1) 
  from t.labels kv 
  where kv in (('a', 1), ('b', 3))
)

Answer 3

您可以尝试解析 JSON 然后您可以根据您的要求对其应用不同的过滤条件，在下面的查询中我试图确定哪些所有记录都有 Key=a 然后我尝试确定哪个记录有 value=30 然后通过 id 加入它们：-

WITH data1 AS (
SELECT '{ "id": 1, "labels": [{"key": "a", "value": 11}, {"key": "b", "value": 22}] }' as c1
union all
SELECT '{ "id": 2, "labels": [{"key": "a", "value": 10}, {"key": "b", "value": 30}] }' AS C1
) 
select T1.id, T1.C1, T1.key, T2.value from 
(SELECT JSON_EXTRACT_SCALAR(c1 , "$.id") AS id, 
json_extract_scalar(curSection, '$.value') as value, json_extract_scalar(curSection, '$.key') as key,
        c1 
 FROM data1 tbl LEFT JOIN unnest(json_extract_array(tbl.c1, '$.labels') 
             ) curSection 
where json_extract_scalar(curSection, '$.key')='a') T1,
(
SELECT JSON_EXTRACT_SCALAR(c1 , "$.id") AS id, 
json_extract_scalar(curSection, '$.value') as value, json_extract_scalar(curSection, '$.key') as key,
        c1 
 FROM data1 tbl LEFT JOIN unnest(json_extract_array(tbl.c1, '$.labels') 
             ) curSection 
where json_extract_scalar(curSection, '$.value')='30') T2
where T1.id = T2.id

希望它对你有用。

有没有办法通过数组的内容过滤 BigQuery 中的行？

Is there a way to filter rows in BigQuery by the contents of an array?

sql

google-bigquery

bigdata

business-intelligence