我想在下面的查询中更改数组列call_type
的条件,以便排除所有“visit_occurred”的内容。
我如何使用该数组部分?
select staff_id,
COUNT(event_id) as offered
from call_logs as logs
where visit_offered
and contact_date between now() - interval '1 weeks' and now()
and provider_type = 'Contractor'
and contact_with != 'company_staff'
and direction = 'outbound'
and outcome = 'Successful'
and call_type && array ['Schedule','schedule_visit']
group by staff_id;
答案 0 :(得分:1)
To simply match array elements as a whole use the ARRAY contains operator @>
, negated:
AND NOT call_type @> '{schedule_visit}'::text[]
Note the array wrapper. The cast to text[]
is typically not needed, but can help to avoid ambiguity.
If the column can be NULL
, and you don't want to exclude such rows:
AND (call_type @> '{schedule_visit}'::text[]) IS NOT TRUE
Can be supported with an index:
Pattern matching is more sophisticated. Use a NOT EXISTS
expression:
AND NOT EXISTS (
SELECT FROM unnest(logs.call_type) call
WHERE call ILIKE '%visit_occurred%' -- case insensitive?
)
No index support for this. Related answer for a JSON array (same principle):
An alternative would be normalizing your array column as a separate n:1 table.