I want to know whether a marketing campaign is active or not, and the only way to know it is checking if at least one of the ads is still active. So I have this table:
+-------------+--------+--------------+
| campaign_id | ad_id | ad_status |
+-------------+--------+--------------+
| campaign1 | ad1 | INACTIVE |
+-------------+--------+--------------+
| campaign1 | ad2 | ACTIVE |
+-------------+--------+--------------+
| campaign2 | ad3 | INACTIVE |
+-------------+--------+--------------+
| campaign2 | ad4 | INACTIVE |
+-------------+--------+--------------+
The desired outcome would be like this:
+-------------+--------+--------------+-----------------+
| campaign_id | ad_id | ad_status | campaign_status |
+-------------+--------+--------------+-----------------+
| campaign1 | ad1 | INACTIVE | ACTIVE |
+-------------+--------+--------------+-----------------+
| campaign1 | ad2 | ACTIVE | ACTIVE |
+-------------+--------+--------------+-----------------+
| campaign2 | ad3 | INACTIVE | INACTIVE |
+-------------+--------+--------------+-----------------+
| campaign2 | ad4 | INACTIVE | INACTIVE |
+-------------+--------+--------------+-----------------+
I've been trying combining CASE WHEN and WHERE ANY inside another SELECT clause but I don't seem to get how to get it done, also I don't want to have it GROUP BY, just want that column with the repeated values.
Also I'm using BigQuery in case there is a specific BigQuery way to do this.
Try this:
with cte as
(
select 'campaign1' as campaign_id, 'ad1' as ad_id, 'INACTIVE' as ad_status
union all select 'campaign1' as campaign_id, 'ad2' as ad_id, 'ACTIVE' as ad_status
union all select 'campaign2' as campaign_id, 'ad3' as ad_id, 'INACTIVE' as ad_status
union all select 'campaign2' as campaign_id, 'ad4' as ad_id, 'INACTIVE' as ad_status
)
select t.*,
case when (count(case when t.ad_status = "ACTIVE" then 1 else null end) over(partition by t.campaign_id)) > 0 then 'ACTIVE' else 'INACTIVE' end as campaign_status
from cte t
Try this by using UNNEST():
with sample_data as (
select 'campaign1' as campaign_id, 'ad1' as ad_id, 'INACTIVE' as ad_status,
union all select 'campaign1' as campaign_id, 'ad2' as ad_id, 'ACTIVE' as ad_status,
union all select 'campaign2' as campaign_id, 'ad3' as ad_id, 'INACTIVE' as ad_status,
union all select 'campaign2' as campaign_id, 'ad4' as ad_id, 'INACTIVE' as ad_status,
)
SELECT *, if ('ACTIVE' IN UNNEST(array_agg(ad_status) over (partition by campaign_id)), 'ACTIVE', 'INACTIVE' ) AS contains_value
from sample_data
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