2022-07-16 01:47:38 +02:00
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import {
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getDateQuery,
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getDateStringQuery,
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getFilterQuery,
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rawQuery,
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runAnalyticsQuery,
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clickhouse,
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} from 'lib/db';
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2022-07-12 23:14:36 +02:00
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2022-07-16 01:47:38 +02:00
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export function getEventMetrics(...args) {
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return runAnalyticsQuery(relationalQuery(...args), clickhouseQuery(...args));
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}
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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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event_value x,
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2022-07-13 07:39:16 +02:00
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${getDateStringQuery(getDateQuery('created_at', unit, timezone), unit)} 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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function clickhouseQuery(
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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 clickhouse.query(
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`
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select
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event_value x,
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${getDateStringQuery(getDateQuery('created_at', unit, timezone), unit)} t,
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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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