Fixed channel metrics queries.

This commit is contained in:
Mike Cao
2026-06-04 02:08:01 -07:00
parent 8a39e98961
commit a52f32604a
2 changed files with 104 additions and 49 deletions
+64 -37
View File
@@ -62,9 +62,8 @@ async function relationalQuery(
website_event.session_id,
website_event.visit_id,
website_event.hostname,
count(*) c,
min(website_event.created_at) min_time,
max(website_event.created_at) max_time
website_event.event_id,
website_event.created_at
from website_event
${cohortQuery}
${excludeBounceQuery}
@@ -72,15 +71,7 @@ async function relationalQuery(
where website_event.website_id = {{websiteId::uuid}}
and website_event.event_type NOT IN (2, 5)
${dateQuery}
${filterQuery}
group by prefix,
website_event.referrer_domain,
website_event.url_query,
website_event.utm_medium,
website_event.utm_source,
website_event.session_id,
website_event.visit_id,
website_event.hostname),
${filterQuery}),
channels as (
select case
@@ -99,21 +90,50 @@ async function relationalQuery(
else '' end as "name",
session_id,
visit_id,
c,
min_time,
max_time
from prefix)
event_id,
created_at
from prefix),
visit_channels as (
select
session_id,
visit_id,
coalesce(nullif(name, ''), 'direct') as "name"
from (
select
name,
session_id,
visit_id,
row_number() over (
partition by session_id, visit_id
order by case when name != '' then 0 else 1 end, created_at, event_id
) as row_num
from channels
) as ranked_channels
where row_num = 1),
visit_stats as (
select
session_id,
visit_id,
count(*) as c,
min(created_at) as min_time,
max(created_at) as max_time
from prefix
group by session_id, visit_id)
select
name,
sum(c) as "pageviews",
count(distinct session_id) as "visitors",
count(distinct visit_id) as "visits",
sum(case when c = 1 then 1 else 0 end) as "bounces",
sum(${getTimestampDiffSQL('min_time', 'max_time')}) as "totaltime"
from channels
where name != ''
group by name
visit_channels.name,
sum(visit_stats.c) as "pageviews",
count(distinct visit_stats.session_id) as "visitors",
count(distinct visit_stats.visit_id) as "visits",
sum(case when visit_stats.c = 1 then 1 else 0 end) as "bounces",
sum(${getTimestampDiffSQL('visit_stats.min_time', 'visit_stats.max_time')}) as "totaltime"
from visit_stats
join visit_channels
on visit_channels.session_id = visit_stats.session_id
and visit_channels.visit_id = visit_stats.visit_id
group by visit_channels.name
order by visitors desc, visits desc
`,
queryParams,
@@ -142,6 +162,14 @@ async function clickhouseQuery(
sum(max_time-min_time) as "totaltime"
from (
select
session_id,
visit_id,
coalesce(nullIf(argMin(name, tuple(if(name != '', 0, 1), created_at, event_id)), ''), 'direct') as name,
count(*) c,
min(created_at) min_time,
max(created_at) max_time
from (
select
case when multiSearchAny(lower(utm_medium), ['cp', 'ppc', 'retargeting', 'paid']) != 0 then 'paid' else 'organic' end prefix,
case
when referrer_domain = '' and url_query = '' then 'direct'
@@ -173,18 +201,17 @@ async function clickhouseQuery(
else '' end AS "name",
session_id,
visit_id,
count(*) c,
min(created_at) min_time,
max(created_at) max_time
from website_event
${cohortQuery}
${excludeBounceQuery}
where website_id = {websiteId:UUID}
and created_at between {startDate:DateTime64} and {endDate:DateTime64}
and event_type NOT IN (2, 5)
and name != ''
${filterQuery}
group by prefix, name, session_id, visit_id
event_id,
created_at
from website_event
${cohortQuery}
${excludeBounceQuery}
where website_id = {websiteId:UUID}
and created_at between {startDate:DateTime64} and {endDate:DateTime64}
and event_type NOT IN (2, 5)
${filterQuery}
)
group by session_id, visit_id
) as t
group by name
order by visitors desc, visits desc;
+40 -12
View File
@@ -41,6 +41,9 @@ async function relationalQuery(websiteId: string, filters: QueryFilters) {
website_event.utm_medium,
website_event.utm_source,
website_event.session_id,
website_event.visit_id,
website_event.event_id,
website_event.created_at,
website_event.hostname
from website_event
${cohortQuery}
@@ -66,14 +69,32 @@ async function relationalQuery(websiteId: string, filters: QueryFilters) {
when ${toPostgresLikeClause('referrer_domain', VIDEO_DOMAINS)} or utm_medium ilike '%video%' then concat(prefix, 'Video')
when referrer_domain != regexp_replace(hostname, '^www.', '') and referrer_domain != '' then 'referral'
else '' end AS x,
count(distinct session_id) y
from prefix
group by 1
order by y desc)
session_id,
visit_id,
event_id,
created_at
from prefix),
select x, sum(y) y
from channels
where x != ''
visit_channels as (
select
session_id,
visit_id,
coalesce(nullif(x, ''), 'direct') as x
from (
select
x,
session_id,
visit_id,
row_number() over (
partition by session_id, visit_id
order by case when x != '' then 0 else 1 end, created_at, event_id
) as row_num
from channels
) as ranked_channels
where row_num = 1)
select x, count(distinct session_id) y
from visit_channels
group by x
order by y desc;
`,
@@ -94,6 +115,11 @@ async function clickhouseQuery(
const sql = `
WITH channels as (
select
session_id,
visit_id,
coalesce(nullIf(argMin(x, tuple(if(x != '', 0, 1), created_at, event_id)), ''), 'direct') as x
from (
select
case when multiSearchAny(lower(utm_medium), ['cp', 'ppc', 'retargeting', 'paid']) != 0 then 'paid' else 'organic' end prefix,
case
@@ -124,7 +150,10 @@ async function clickhouseQuery(
)}]) != 0 or position(lower(utm_medium), 'video') > 0 then concat(prefix, 'Video')
when referrer_domain != hostname and referrer_domain != '' then 'referral'
else '' end AS x,
count(distinct session_id) y
session_id,
visit_id,
event_id,
created_at
from website_event
${cohortQuery}
${excludeBounceQuery}
@@ -132,12 +161,11 @@ async function clickhouseQuery(
and event_type NOT IN (2, 5)
${dateQuery}
${filterQuery}
group by 1, 2
order by y desc)
)
group by session_id, visit_id)
select x, sum(y) y
select x, uniq(session_id) y
from channels
where x != ''
group by x
order by y desc;
`;