2022-07-21 06:31:26 +02:00
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import { CLICKHOUSE, RELATIONAL } from 'lib/constants';
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2022-08-26 07:04:32 +02:00
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import clickhouse from 'lib/clickhouse';
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import { getDateQuery, getFilterQuery, rawQuery } from 'lib/db/relational';
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import { runAnalyticsQuery } from 'lib/db/db';
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2022-07-12 23:14:36 +02:00
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2022-07-21 06:31:26 +02:00
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export async function getEventMetrics(...args) {
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return runAnalyticsQuery({
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2022-07-25 18:47:11 +02:00
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[RELATIONAL]: () => relationalQuery(...args),
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[CLICKHOUSE]: () => clickhouseQuery(...args),
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2022-07-21 06:31:26 +02:00
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});
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2022-07-16 01:47:38 +02:00
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}
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2022-07-21 06:31:26 +02:00
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async function relationalQuery(
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2022-07-12 23:14:36 +02:00
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website_id,
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start_at,
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end_at,
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timezone = 'utc',
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unit = 'day',
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filters = {},
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) {
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const params = [website_id, start_at, end_at];
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return rawQuery(
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`
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select
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2022-07-30 07:30:09 +02:00
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event_name x,
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2022-07-21 22:21:33 +02:00
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${getDateQuery('created_at', unit, timezone)} t,
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2022-07-12 23:14:36 +02:00
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count(*) y
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from event
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where website_id=$1
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and created_at between $2 and $3
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${getFilterQuery('event', filters, params)}
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group by 1, 2
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order by 2
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`,
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params,
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);
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}
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2022-07-16 01:47:38 +02:00
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2022-07-21 06:31:26 +02:00
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async function clickhouseQuery(
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2022-07-16 01:47:38 +02:00
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website_id,
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start_at,
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end_at,
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2022-07-21 06:31:26 +02:00
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timezone = 'UTC',
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2022-07-16 01:47:38 +02:00
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unit = 'day',
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filters = {},
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) {
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2022-07-21 06:31:26 +02:00
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const params = [website_id];
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2022-07-16 01:47:38 +02:00
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2022-08-26 07:04:32 +02:00
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return clickhouse.rawQuery(
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2022-07-16 01:47:38 +02:00
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`
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select
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2022-08-09 09:43:47 +02:00
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event_name x,
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2022-08-26 07:04:32 +02:00
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${clickhouse.getDateQuery('created_at', unit, timezone)} t,
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2022-07-16 01:47:38 +02:00
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count(*) y
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from event
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2022-07-21 06:31:26 +02:00
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where website_id= $1
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2022-08-26 07:04:32 +02:00
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and ${clickhouse.getBetweenDates('created_at', start_at, end_at)}
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${clickhouse.getFilterQuery('event', filters, params)}
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2022-07-21 06:31:26 +02:00
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group by x, t
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order by t
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2022-07-16 01:47:38 +02:00
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`,
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params,
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);
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}
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