我正在使用Postgresql 9.6并想知道这是否可能。
我有类似的查询:
with mkt_types as (
select distinct(mkt_medium)
from sessions
), sessions_all as (
select *
from sessions
)
select
count(visitor_id) as total_visits,
count(1) FILTER (where mkt_medium = 'seo') as seo_visitors,
count(1) FILTER (where mkt_medium = 'seo' and domain_sessionidx = 1) as seo_new_visitors,
count(1) FILTER (where mkt_medium = 'seo' and conversion_visit = 'true') as seo_converters,
count(1) FILTER (where mkt_medium = 'seo' and domain_sessionidx = 1 and conversion_visit = 'true') as seo_new_converters
from sessions_all;
是否可以从mkt_types中获取值并循环显示结果并替换' seo'部分查询。
实施例 如果我有mkt_types' seo',' email',' banner'那么我的最终查询最终会得到我输入的结果:
with mkt_types as (
select distinct(mkt_medium)
from sessions
), sessions_all as (
select *
from sessions
)
select
count(visitor_id) as total_visits,
count(1) FILTER (where mkt_medium = 'seo') as seo_visitors,
count(1) FILTER (where mkt_medium = 'seo' and domain_sessionidx = 1) as seo_new_visitors,
count(1) FILTER (where mkt_medium = 'seo' and conversion_visit = 'true') as seo_converters,
count(1) FILTER (where mkt_medium = 'seo' and domain_sessionidx = 1 and conversion_visit = 'true') as seo_new_converters,
count(1) FILTER (where mkt_medium = 'email') as email_visitors,
count(1) FILTER (where mkt_medium = 'email' and domain_sessionidx = 1) as email_new_visitors,
count(1) FILTER (where mkt_medium = 'email' and conversion_visit = 'true') as email_converters,
count(1) FILTER (where mkt_medium = 'email' and domain_sessionidx = 1 and conversion_visit = 'true') as email_new_converters,
count(1) FILTER (where mkt_medium = 'banner') as banner_visitors,
count(1) FILTER (where mkt_medium = 'banner' and domain_sessionidx = 1) as banner_new_visitors,
count(1) FILTER (where mkt_medium = 'banner' and conversion_visit = 'true') as banner_converters,
count(1) FILTER (where mkt_medium = 'banner' and domain_sessionidx = 1 and conversion_visit = 'true') as banner_new_converters
from sessions_all;
谢谢
答案 0 :(得分:0)
在我看来,似乎我们不能这样做。当然你可以放入函数并构建查询。
如果您可以垂直而不是水平获取结果,我可以建议另一个查询:
(
select 'all' as mkt_medium,
count(1) as total_visits,
count(1) FILTER (where domain_sessionidx = 1) as new_visitors,
count(1) FILTER (where conversion_visit = 'true') as converters,
count(1) FILTER (where domain_sessionidx = 1 and conversion_visit = 'true') as new_converters
FROM sessions_all
) UNION ALL (
SELECT mkt_medium,
count(1) as total_visits,
count(1) FILTER (where domain_sessionidx = 1) as new_visitors,
count(1) FILTER (where conversion_visit = 'true') as converters,
count(1) FILTER (where domain_sessionidx = 1 and conversion_visit = 'true') as new_converters
from sessions_all
GROUP BY mkt_medium
)