Files
umami/src/queries/sql/events/getEventDataArraySeries.ts
T
2026-05-01 13:16:30 -07:00

117 lines
3.9 KiB
TypeScript

import clickhouse from '@/lib/clickhouse';
import { DATA_TYPE } from '@/lib/constants';
import { CLICKHOUSE, PRISMA, runQuery } from '@/lib/db';
import prisma from '@/lib/prisma';
import type { EventDataSeriesPoint, EventPropertyFilter, QueryFilters } from '@/lib/types';
const FUNCTION_NAME = 'getEventDataArraySeries';
export async function getEventDataArraySeries(
...args: [
websiteId: string,
eventName: string,
propertyName: string,
filters: QueryFilters,
eventFilters?: EventPropertyFilter[],
]
): Promise<EventDataSeriesPoint[]> {
return runQuery({
[PRISMA]: () => relationalQuery(...args),
[CLICKHOUSE]: () => clickhouseQuery(...args),
});
}
async function relationalQuery(
websiteId: string,
eventName: string,
propertyName: string,
filters: QueryFilters,
eventFilters: EventPropertyFilter[] = [],
): Promise<EventDataSeriesPoint[]> {
const { timezone = 'utc', unit = 'day' } = filters;
const { rawQuery, getDateSQL, parseFilters, getPropertyFilterQuery } = prisma;
const { filterQuery, cohortQuery, joinSessionQuery, queryParams } = parseFilters({
...filters,
websiteId,
timezone,
});
const { sql: pfSQL, params: pfParams } = getPropertyFilterQuery(eventFilters, 'event', timezone);
return rawQuery(
`
select
array_item.value as x,
${getDateSQL('event_data.created_at', unit, timezone)} as t,
count(*) as y
from event_data
join website_event on website_event.event_id = event_data.website_event_id
and website_event.website_id = {{websiteId::uuid}}
and website_event.created_at between {{startDate}} and {{endDate}}
and website_event.event_type = 2
and website_event.event_name = {{eventName}}
cross join lateral jsonb_array_elements_text(coalesce(event_data.string_value, '[]')::jsonb) as array_item(value)
${cohortQuery}
${joinSessionQuery}
where event_data.website_id = {{websiteId::uuid}}
and event_data.created_at between {{startDate}} and {{endDate}}
and event_data.data_key = {{propertyName}}
and event_data.data_type = ${DATA_TYPE.array}
${filterQuery}
${pfSQL}
group by 1, 2
order by 2
`,
{ ...queryParams, eventName, propertyName, ...pfParams },
FUNCTION_NAME,
);
}
async function clickhouseQuery(
websiteId: string,
eventName: string,
propertyName: string,
filters: QueryFilters,
eventFilters: EventPropertyFilter[] = [],
): Promise<EventDataSeriesPoint[]> {
const { timezone = 'UTC', unit = 'day' } = filters;
const { rawQuery, getDateSQL, parseFilters, getPropertyFilterQuery } = clickhouse;
const { filterQuery, cohortQuery, queryParams } = parseFilters({
...filters,
websiteId,
timezone,
});
const { sql: pfSQL, params: pfParams } = getPropertyFilterQuery(eventFilters, 'event', timezone);
return rawQuery(
`
select
arrayJoin(JSONExtract(ifNull(event_data.string_value, '[]'), 'Array(String)')) as x,
${getDateSQL('event_data.created_at', unit, timezone)} as t,
count() as y
from event_data
any left join (
select *
from website_event
where website_id = {websiteId:UUID}
and created_at between {startDate:DateTime64} and {endDate:DateTime64}
and event_type = 2
and event_name = {eventName:String}) website_event
on website_event.event_id = event_data.event_id
and website_event.session_id = event_data.session_id
and website_event.website_id = event_data.website_id
${cohortQuery}
where event_data.website_id = {websiteId:UUID}
and event_data.created_at between {startDate:DateTime64} and {endDate:DateTime64}
and event_data.event_name = {eventName:String}
and event_data.data_key = {propertyName:String}
and event_data.data_type = ${DATA_TYPE.array}
${filterQuery}
${pfSQL}
group by x, t
order by t
`,
{ ...queryParams, eventName, propertyName, ...pfParams },
FUNCTION_NAME,
);
}