Files
umami/src/queries/sql/sessions/getSessionDataNumericStats.ts
T

110 lines
4.0 KiB
TypeScript

import clickhouse from '@/lib/clickhouse';
import { EVENT_TYPE } from '@/lib/constants';
import { CLICKHOUSE, PRISMA, runQuery } from '@/lib/db';
import prisma from '@/lib/prisma';
import type { EventDataNumericStats, PropertyFilter, QueryFilters } from '@/lib/types';
const FUNCTION_NAME = 'getSessionDataNumericStats';
export async function getSessionDataNumericStats(
...args: [
websiteId: string,
propertyName: string,
filters: QueryFilters,
propertyFilters?: PropertyFilter[],
]
): Promise<EventDataNumericStats> {
return runQuery({
[PRISMA]: () => relationalQuery(...args),
[CLICKHOUSE]: () => clickhouseQuery(...args),
}).then(results => results?.[0]);
}
async function relationalQuery(
websiteId: string,
propertyName: string,
filters: QueryFilters,
propertyFilters: PropertyFilter[] = [],
) {
const { timezone = 'utc' } = filters;
const { rawQuery, parseFilters, getPropertyFilterQuery } = prisma;
const { filterQuery, cohortQuery, joinSessionQuery, queryParams } = parseFilters({
...filters,
websiteId,
timezone,
});
const { sql: pfSQL, params: pfParams } = getPropertyFilterQuery(propertyFilters, 'session', timezone);
return rawQuery(
`
with filtered_sessions as (
select distinct website_event.session_id, website_event.website_id
from website_event
${cohortQuery}
${joinSessionQuery}
where website_event.website_id = {{websiteId::uuid}}
and website_event.created_at between {{startDate}} and {{endDate}}
and website_event.event_type != ${EVENT_TYPE.performance}
${filterQuery}
${pfSQL}
)
select
coalesce(sum(cast(session_data.number_value as decimal)), 0) as "total",
coalesce(avg(cast(session_data.number_value as decimal)), 0) as "average",
coalesce(percentile_cont(0.5) within group (order by session_data.number_value), 0) as "median",
coalesce(max(session_data.number_value), 0) as "max",
coalesce(min(session_data.number_value), 0) as "min"
from session_data
join filtered_sessions
on filtered_sessions.session_id = session_data.session_id
and filtered_sessions.website_id = session_data.website_id
where session_data.website_id = {{websiteId::uuid}}
and session_data.data_key = {{propertyName}}
and session_data.data_type = 2
`,
{ ...queryParams, propertyName, ...pfParams },
FUNCTION_NAME,
);
}
async function clickhouseQuery(
websiteId: string,
propertyName: string,
filters: QueryFilters,
propertyFilters: PropertyFilter[] = [],
): Promise<EventDataNumericStats[]> {
const { timezone = 'UTC' } = filters;
const { rawQuery, parseFilters, getPropertyFilterQuery } = clickhouse;
const { filterQuery, cohortQuery, queryParams } = parseFilters({ ...filters, websiteId, timezone });
const { sql: pfSQL, params: pfParams } = getPropertyFilterQuery(propertyFilters, 'session', timezone);
return rawQuery(
`
with filtered_sessions as (
select distinct website_event.session_id
from website_event
${cohortQuery}
where website_event.website_id = {websiteId:UUID}
and website_event.created_at between {startDate:DateTime64} and {endDate:DateTime64}
and website_event.event_type != ${EVENT_TYPE.performance}
${filterQuery}
${pfSQL}
)
select
if(count() = 0, 0, sum(session_data.number_value)) as total,
if(count() = 0, 0, avg(session_data.number_value)) as average,
if(count() = 0, 0, median(session_data.number_value)) as median,
if(count() = 0, 0, max(session_data.number_value)) as max,
if(count() = 0, 0, min(session_data.number_value)) as min
from session_data final
join filtered_sessions
on filtered_sessions.session_id = session_data.session_id
where session_data.website_id = {websiteId:UUID}
and session_data.data_key = {propertyName:String}
and session_data.data_type = 2
`,
{ ...queryParams, propertyName, ...pfParams },
FUNCTION_NAME,
);
}