Optimize bounce detection and enforce unique session data entries
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commit
be1531edf7
16 files changed
+557
-178
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@@ -7,7 +7,6 @@ services:
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environment:
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DATABASE_URL: postgresql://umami:umami@db:5432/umami
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APP_SECRET: replace-me-with-a-random-string
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# BOUNCE_THRESHOLD: 2 # OPTIONAL: set the minimum amount custom events to trigger a bounce
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depends_on:
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db:
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condition: service_healthy
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@@ -0,0 +1,16 @@
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WITH ranked_session_data AS (
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SELECT
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"session_data_id",
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ROW_NUMBER() OVER (
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PARTITION BY "session_id", "data_key"
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ORDER BY "created_at" DESC NULLS LAST, "session_data_id" DESC
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) AS row_num
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FROM "session_data"
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)
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DELETE FROM "session_data"
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USING ranked_session_data
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WHERE "session_data"."session_data_id" = ranked_session_data."session_data_id"
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AND ranked_session_data.row_num > 1;
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CREATE UNIQUE INDEX "session_data_session_id_data_key_key"
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ON "session_data"("session_id", "data_key");
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@@ -208,6 +208,7 @@ model SessionData {
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@@index([sessionId])
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@@index([sessionId, createdAt])
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@@index([websiteId, createdAt, dataKey])
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@@unique([sessionId, dataKey])
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@@map("session_data")
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}
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@@ -177,13 +177,17 @@ function getExcludeBounceQuery(filters: Record<string, any>) {
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}
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return `join
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(select distinct session_id as exclude_session_id, visit_id as exclude_visit_id
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(select session_id as exclude_session_id, visit_id as exclude_visit_id
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from website_event_stats_hourly
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where website_id = {websiteId:UUID}
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and created_at between {startDate:DateTime64} and {endDate:DateTime64}
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and event_type = 1
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and event_type != 5
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group by session_id, visit_id
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having sum(views) > 1
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or (
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sum(views) = 1
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and sumIf(length(event_name), event_type = 2) > 0
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)
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) excludeBounce
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on excludeBounce.exclude_session_id = website_event.session_id
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and excludeBounce.exclude_visit_id = website_event.visit_id
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@@ -1,5 +1,4 @@
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export const CURRENT_VERSION = process.env.currentVersion;
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export const BOUNCE_THRESHOLD = Math.max(1, Number.parseInt(process.env.BOUNCE_THRESHOLD, 10) || 1);
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export const AUTH_TOKEN = 'umami.auth';
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export const LOCALE_CONFIG = 'umami.locale';
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export const TIMEZONE_CONFIG = 'umami.timezone';
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+8
-10
@@ -2,13 +2,7 @@ import { PrismaPg } from '@prisma/adapter-pg';
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import { readReplicas } from '@prisma/extension-read-replicas';
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import debug from 'debug';
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import { PrismaClient } from '@/generated/prisma/client';
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import {
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DATA_TYPE,
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DEFAULT_PAGE_SIZE,
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FILTER_COLUMNS,
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OPERATORS,
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SESSION_COLUMNS,
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} from './constants';
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import { DATA_TYPE, DEFAULT_PAGE_SIZE, FILTER_COLUMNS, OPERATORS, SESSION_COLUMNS } from './constants';
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import { filtersObjectToArray } from './params';
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import type { Operator, PropertyFilter, QueryFilters, QueryOptions } from './types';
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@@ -249,13 +243,17 @@ function getExcludeBounceQuery(filters: Record<string, any>) {
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}
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return `join
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(select distinct session_id, visit_id
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(select session_id, visit_id
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from website_event
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where website_id = {{websiteId}}
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and created_at between {{startDate}} and {{endDate}}
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and event_type = 1
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and event_type != 5
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group by session_id, visit_id
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having count(*) > 1
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having sum(case when event_type NOT IN (2, 5) then 1 else 0 end) > 1
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or (
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sum(case when event_type NOT IN (2, 5) then 1 else 0 end) = 1
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and sum(case when event_type = 2 then 1 else 0 end) > 0
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)
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) excludeBounce
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on excludeBounce.session_id = website_event.session_id
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and excludeBounce.visit_id = website_event.visit_id
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@@ -1,6 +1,5 @@
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import { beforeEach, describe, expect, test, vi } from 'vitest';
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import { getEntity } from '@/lib/entity';
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import prisma from '@/lib/prisma';
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import { getTeamUser, getWebsite } from '@/queries/prisma';
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import {
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canCreateWebsite,
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@@ -13,6 +12,11 @@ import {
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canViewWebsite,
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} from './website';
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const { websiteFindManyMock, teamUserFindManyMock } = vi.hoisted(() => ({
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websiteFindManyMock: vi.fn(),
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teamUserFindManyMock: vi.fn(),
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}));
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vi.mock('@/lib/entity', () => ({
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getEntity: vi.fn(),
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}));
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@@ -26,10 +30,10 @@ vi.mock('@/lib/prisma', () => ({
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default: {
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client: {
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website: {
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findMany: vi.fn(),
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findMany: websiteFindManyMock,
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},
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teamUser: {
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findMany: vi.fn(),
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findMany: teamUserFindManyMock,
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},
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},
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},
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@@ -54,8 +58,8 @@ beforeEach(() => {
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vi.mocked(getEntity).mockReset();
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vi.mocked(getWebsite).mockReset();
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vi.mocked(getTeamUser).mockReset();
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vi.mocked(prisma.client.website.findMany as (...args: unknown[]) => unknown).mockReset();
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vi.mocked(prisma.client.teamUser.findMany as (...args: unknown[]) => unknown).mockReset();
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websiteFindManyMock.mockReset();
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teamUserFindManyMock.mockReset();
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});
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describe('canViewWebsite', () => {
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@@ -139,16 +143,12 @@ describe('canViewBatchWebsites', () => {
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});
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test('returns owned, team, and share allowed ids for a user', async () => {
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vi.mocked(
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prisma.client.website.findMany as (...args: unknown[]) => Promise<unknown>,
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).mockResolvedValue([
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websiteFindManyMock.mockResolvedValue([
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{ id: 'owned', userId: 'user-1', teamId: null },
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{ id: 'team', userId: null, teamId: 'team-1' },
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{ id: 'foreign', userId: 'other', teamId: null },
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] as any);
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vi.mocked(
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prisma.client.teamUser.findMany as (...args: unknown[]) => Promise<unknown>,
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).mockResolvedValue([{ teamId: 'team-1' }] as any);
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teamUserFindManyMock.mockResolvedValue([{ teamId: 'team-1' }] as any);
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await expect(
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canViewBatchWebsites({ user: normalUser, shareToken: { websiteId: 'shared' } as any }, [
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@@ -161,12 +161,10 @@ describe('canViewBatchWebsites', () => {
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});
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test('excludes team websites when the user is not a team member', async () => {
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vi.mocked(
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prisma.client.website.findMany as (...args: unknown[]) => Promise<unknown>,
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).mockResolvedValue([{ id: 'team', userId: null, teamId: 'team-1' }] as any);
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vi.mocked(
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prisma.client.teamUser.findMany as (...args: unknown[]) => Promise<unknown>,
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).mockResolvedValue([] as any);
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websiteFindManyMock.mockResolvedValue([
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{ id: 'team', userId: null, teamId: 'team-1' },
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] as any);
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teamUserFindManyMock.mockResolvedValue([] as any);
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await expect(canViewBatchWebsites({ user: normalUser }, ['team'])).resolves.toEqual([]);
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});
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@@ -1,8 +1,6 @@
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import { beforeEach, describe, expect, test, vi } from 'vitest';
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import {
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BOUNCE_THRESHOLD,
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EMAIL_DOMAINS,
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EVENT_TYPE,
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LLM_DOMAINS,
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PAID_AD_PARAMS,
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SEARCH_DOMAINS,
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@@ -85,12 +83,9 @@ describe('getChannelExpandedMetrics postgres branch', () => {
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expect(query).toContain('sum(visit_stats.c) as "pageviews"');
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expect(query).toContain('count(distinct visit_stats.session_id) as "visitors"');
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expect(query).toContain('count(distinct visit_stats.visit_id) as "visits"');
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expect(query).toContain('sum(case when visit_stats.c = 1 and coalesce(visit_events.has_custom_event, 0) = 0 then 1 else 0 end) as "bounces"');
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expect(query).toContain('visit_events as');
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expect(query).toContain(`and event_type = ${EVENT_TYPE.customEvent}`);
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expect(query).toContain('left join visit_events');
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expect(query).toContain(
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`sum(case when visit_stats.c = 1 and coalesce(visit_events.events_count, 0) < ${BOUNCE_THRESHOLD} then 1 else 0 end) as "bounces"`,
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);
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// getTimestampDiffSQL output is injected into the totaltime column
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expect(query).toContain('sum(ts_diff(min_time, max_time)) as "totaltime"');
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expect(getTimestampDiffSQL).toHaveBeenCalledWith(
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@@ -158,11 +153,8 @@ describe('getChannelExpandedMetrics clickhouse branch', () => {
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expect(query).toContain('uniq(t.session_id) as "visitors"');
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expect(query).toContain('uniq(t.visit_id) as "visits"');
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expect(query).toContain(
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`sumIf(1, t.c = 1 and ifNull(e.events_count, 0) < ${BOUNCE_THRESHOLD}) as "bounces"`,
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);
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expect(query).toContain(`and event_type = ${EVENT_TYPE.customEvent}`);
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expect(query).toContain('as e using (session_id, visit_id)');
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expect(query).toContain('sumIf(1, t.c = 1 and ifNull(e.has_custom_event, 0) = 0) as "bounces"');
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expect(query).toContain('left join (');
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expect(query).toContain('sum(max_time-min_time) as "totaltime"');
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expect(query).toContain('where website_id = {websiteId:UUID}');
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expect(query).toContain(
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@@ -1,6 +1,5 @@
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import clickhouse from '@/lib/clickhouse';
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import {
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BOUNCE_THRESHOLD,
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EMAIL_DOMAINS,
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EVENT_TYPE,
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LLM_DOMAINS,
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@@ -49,6 +48,29 @@ async function relationalQuery(
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...filters,
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websiteId,
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});
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const needsBounceEvents = filters.excludeBounce !== true;
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const bounceQuery = needsBounceEvents
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? `sum(case when visit_stats.c = 1 and coalesce(visit_events.has_custom_event, 0) = 0 then 1 else 0 end) as "bounces",`
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: '0 as "bounces",';
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const visitEventsQuery = needsBounceEvents
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? `,
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visit_events as (
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select
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session_id,
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visit_id,
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1 as has_custom_event
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from website_event
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where website_id = {{websiteId::uuid}}
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and created_at between {{startDate}} and {{endDate}}
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and event_type = ${EVENT_TYPE.customEvent}
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group by session_id, visit_id)`
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: '';
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const visitEventsJoin = needsBounceEvents
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? `left join visit_events
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on visit_events.session_id = visit_stats.session_id
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and visit_events.visit_id = visit_stats.visit_id`
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: '';
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return rawQuery(
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`
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@@ -122,33 +144,21 @@ async function relationalQuery(
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min(created_at) as min_time,
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max(created_at) as max_time
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from prefix
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group by session_id, visit_id),
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visit_events as (
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select
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session_id,
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visit_id,
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count(*) as events_count
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from website_event
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where website_id = {{websiteId::uuid}}
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and created_at between {{startDate}} and {{endDate}}
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and event_type = ${EVENT_TYPE.customEvent}
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group by session_id, visit_id)
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${visitEventsQuery}
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select
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visit_channels.name,
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sum(visit_stats.c) as "pageviews",
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count(distinct visit_stats.session_id) as "visitors",
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count(distinct visit_stats.visit_id) as "visits",
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sum(case when visit_stats.c = 1 and coalesce(visit_events.events_count, 0) < ${BOUNCE_THRESHOLD} then 1 else 0 end) as "bounces",
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${bounceQuery}
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sum(${getTimestampDiffSQL('visit_stats.min_time', 'visit_stats.max_time')}) as "totaltime"
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from visit_stats
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join visit_channels
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on visit_channels.session_id = visit_stats.session_id
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and visit_channels.visit_id = visit_stats.visit_id
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left join visit_events
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on visit_events.session_id = visit_stats.session_id
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and visit_events.visit_id = visit_stats.visit_id
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${visitEventsJoin}
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group by visit_channels.name
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order by visitors desc, visits desc
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`,
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@@ -166,6 +176,20 @@ async function clickhouseQuery(
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...filters,
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websiteId,
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});
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const needsBounceEvents = filters.excludeBounce !== true;
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const bounceQuery = needsBounceEvents
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? `sumIf(1, t.c = 1 and ifNull(e.has_custom_event, 0) = 0) as "bounces",`
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: '0 as "bounces",';
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const visitEventsJoin = needsBounceEvents
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? `left join (
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select session_id, visit_id, toUInt8(1) as has_custom_event
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from website_event
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where website_id = {websiteId:UUID}
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and created_at between {startDate:DateTime64} and {endDate:DateTime64}
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and event_type = ${EVENT_TYPE.customEvent}
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group by session_id, visit_id
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) as e using (session_id, visit_id)`
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: '';
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return rawQuery(
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`
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@@ -174,7 +198,7 @@ async function clickhouseQuery(
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sum(t.c) as "pageviews",
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uniq(t.session_id) as "visitors",
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uniq(t.visit_id) as "visits",
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sumIf(1, t.c = 1 and ifNull(e.events_count, 0) < ${BOUNCE_THRESHOLD}) as "bounces",
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${bounceQuery}
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sum(max_time-min_time) as "totaltime"
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from (
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select
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@@ -229,14 +253,7 @@ async function clickhouseQuery(
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)
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group by session_id, visit_id
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) as t
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left join (
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select session_id, visit_id, toUInt32(count()) as events_count
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from website_event
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where website_id = {websiteId:UUID}
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and created_at between {startDate:DateTime64} and {endDate:DateTime64}
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and event_type = ${EVENT_TYPE.customEvent}
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group by session_id, visit_id
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) as e using (session_id, visit_id)
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${visitEventsJoin}
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group by name
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order by visitors desc, visits desc;
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`,
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@@ -0,0 +1,135 @@
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import { afterEach, describe, expect, test, vi } from 'vitest';
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const parseFiltersResult = {
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queryParams: { websiteId: 'website-1' },
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filterQuery: 'and website_event.url_path = {{path}}',
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joinSessionQuery: 'join session on session.session_id = website_event.session_id',
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cohortQuery: 'join cohort on cohort.session_id = website_event.session_id',
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excludeBounceQuery: 'join excludeBounce on excludeBounce.visit_id = website_event.visit_id',
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};
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async function loadModule({
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mode,
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}: {
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mode: 'prisma' | 'clickhouse';
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}) {
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vi.resetModules();
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const state = { mode };
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const prismaRawQuery = vi.fn().mockResolvedValue([{}]);
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const prismaParseFilters = vi.fn().mockReturnValue(parseFiltersResult);
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const getTimestampDiffSQL = vi.fn().mockReturnValue('ts_diff(t.min_time, t.max_time)');
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const clickhouseRawQuery = vi.fn().mockResolvedValue([{}]);
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const clickhouseParseFilters = vi.fn().mockReturnValue(parseFiltersResult);
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vi.doMock('@/lib/db', () => ({
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CLICKHOUSE: 'clickhouse',
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PRISMA: 'prisma',
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runQuery: vi.fn((queries: Record<string, () => unknown>) => queries[state.mode]()),
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}));
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vi.doMock('@/lib/prisma', () => ({
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default: {
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rawQuery: prismaRawQuery,
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parseFilters: prismaParseFilters,
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getTimestampDiffSQL,
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},
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}));
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vi.doMock('@/lib/clickhouse', () => ({
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default: {
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rawQuery: clickhouseRawQuery,
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parseFilters: clickhouseParseFilters,
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},
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}));
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const mod = await import('./getWebsiteStats');
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return {
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getWebsiteStats: mod.getWebsiteStats,
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prismaRawQuery,
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clickhouseRawQuery,
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};
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}
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afterEach(() => {
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vi.resetModules();
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vi.clearAllMocks();
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});
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|
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describe('getWebsiteStats default bounce path', () => {
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test('postgres uses a single grouped pass for the default path', async () => {
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const { getWebsiteStats, prismaRawQuery } = await loadModule({ mode: 'prisma' });
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await getWebsiteStats('website-1', {});
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const [query] = prismaRawQuery.mock.calls[0];
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expect(query).toContain('t.c = 1 and t.has_custom_event = 0');
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expect(query).toContain('max(case when website_event.event_type = 2 then 1 else 0 end) as "has_custom_event"');
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expect(query).not.toContain('left join (');
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});
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test('clickhouse uses the hourly aggregate view without the extra join', async () => {
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const { getWebsiteStats, clickhouseRawQuery } = await loadModule({ mode: 'clickhouse' });
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await getWebsiteStats('website-1', {});
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const [query] = clickhouseRawQuery.mock.calls[0];
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expect(query).toContain('from website_event_stats_hourly "website_event"');
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expect(query).toContain('sumIf(1, t.c = 1 and t.has_custom_event = 0) as "bounces"');
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expect(query).toContain('has_custom_event');
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expect(query).not.toContain('left join (');
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});
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||||
});
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||||
|
||||
describe('getWebsiteStats filtered bounce path', () => {
|
||||
test('postgres switches to the visit-events join when event filters are present', async () => {
|
||||
const { getWebsiteStats, prismaRawQuery } = await loadModule({ mode: 'prisma' });
|
||||
|
||||
await getWebsiteStats('website-1', { path: '/pricing' } as any);
|
||||
|
||||
const [query] = prismaRawQuery.mock.calls[0];
|
||||
|
||||
expect(query).toContain('left join (');
|
||||
expect(query).toContain('coalesce(e.has_custom_event, 0) = 0');
|
||||
expect(query).toContain('event_type = 2');
|
||||
});
|
||||
|
||||
test('clickhouse switches to the raw-event join when event filters are present', async () => {
|
||||
const { getWebsiteStats, clickhouseRawQuery } = await loadModule({ mode: 'clickhouse' });
|
||||
|
||||
await getWebsiteStats('website-1', { path: '/pricing' } as any);
|
||||
|
||||
const [query] = clickhouseRawQuery.mock.calls[0];
|
||||
|
||||
expect(query).toContain('from website_event');
|
||||
expect(query).toContain('left join (');
|
||||
expect(query).toContain('ifNull(e.has_custom_event, 0) = 0');
|
||||
});
|
||||
});
|
||||
|
||||
describe('getWebsiteStats excludeBounce path', () => {
|
||||
test('clickhouse skips the extra join when excludeBounce is enabled', async () => {
|
||||
const { getWebsiteStats, clickhouseRawQuery } = await loadModule({ mode: 'clickhouse' });
|
||||
|
||||
await getWebsiteStats('website-1', { excludeBounce: true });
|
||||
|
||||
const [query] = clickhouseRawQuery.mock.calls[0];
|
||||
|
||||
expect(query).toContain('0 as "bounces"');
|
||||
expect(query).not.toContain('left join (');
|
||||
});
|
||||
|
||||
test('postgres skips the extra join when excludeBounce is enabled on the filtered path', async () => {
|
||||
const { getWebsiteStats, prismaRawQuery } = await loadModule({ mode: 'prisma' });
|
||||
|
||||
await getWebsiteStats('website-1', { excludeBounce: true, path: '/pricing' } as any);
|
||||
|
||||
const [query] = prismaRawQuery.mock.calls[0];
|
||||
|
||||
expect(query).toContain('0 as "bounces"');
|
||||
expect(query).not.toContain('left join (');
|
||||
});
|
||||
});
|
||||
@@ -1,5 +1,5 @@
|
||||
import clickhouse from '@/lib/clickhouse';
|
||||
import { BOUNCE_THRESHOLD, EVENT_COLUMNS, EVENT_TYPE } from '@/lib/constants';
|
||||
import { EVENT_COLUMNS, EVENT_TYPE } from '@/lib/constants';
|
||||
import { CLICKHOUSE, PRISMA, runQuery } from '@/lib/db';
|
||||
import prisma from '@/lib/prisma';
|
||||
import type { QueryFilters } from '@/lib/types';
|
||||
@@ -35,9 +35,60 @@ async function relationalQuery(
|
||||
});
|
||||
|
||||
const { excludeBounce } = filters;
|
||||
const hasEventFilters =
|
||||
EVENT_COLUMNS.some(item => Object.keys(filters).includes(item)) ||
|
||||
!!filters.eventPropertyFilters?.length;
|
||||
|
||||
if (!hasEventFilters) {
|
||||
return rawQuery(
|
||||
`
|
||||
select
|
||||
cast(coalesce(sum(t.c), 0) as bigint) as "pageviews",
|
||||
count(distinct t.session_id) as "visitors",
|
||||
count(distinct t.visit_id) as "visits",
|
||||
${excludeBounce ? '0' : 'coalesce(sum(case when t.c = 1 and t.has_custom_event = 0 then 1 else 0 end), 0)'} as "bounces",
|
||||
cast(coalesce(sum(${getTimestampDiffSQL('t.min_time', 't.max_time')}), 0) as bigint) as "totaltime"
|
||||
from (
|
||||
select
|
||||
website_event.session_id,
|
||||
website_event.visit_id,
|
||||
sum(case when website_event.event_type NOT IN (2, 5) then 1 else 0 end) as "c",
|
||||
min(case when website_event.event_type NOT IN (2, 5) then website_event.created_at end) as "min_time",
|
||||
max(case when website_event.event_type NOT IN (2, 5) then website_event.created_at end) as "max_time",
|
||||
max(case when website_event.event_type = ${EVENT_TYPE.customEvent} then 1 else 0 end) as "has_custom_event"
|
||||
from website_event
|
||||
${cohortQuery}
|
||||
${excludeBounceQuery}
|
||||
${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}
|
||||
group by 1, 2
|
||||
having sum(case when website_event.event_type NOT IN (2, 5) then 1 else 0 end) > 0
|
||||
) as t
|
||||
`,
|
||||
queryParams,
|
||||
FUNCTION_NAME,
|
||||
).then(result => result?.[0]);
|
||||
}
|
||||
|
||||
const bounceQuery = excludeBounce
|
||||
? '0'
|
||||
: `coalesce(sum(case when t.c = 1 and t.events_count < ${BOUNCE_THRESHOLD} then 1 else 0 end), 0)`;
|
||||
: 'coalesce(sum(case when t.c = 1 and coalesce(e.has_custom_event, 0) = 0 then 1 else 0 end), 0)';
|
||||
const visitEventsJoin = excludeBounce
|
||||
? ''
|
||||
: `
|
||||
left join (
|
||||
select session_id, visit_id, 1 as "has_custom_event"
|
||||
from website_event
|
||||
where website_id = {{websiteId::uuid}}
|
||||
and created_at between {{startDate}} and {{endDate}}
|
||||
and event_type = ${EVENT_TYPE.customEvent}
|
||||
group by 1, 2
|
||||
) as e
|
||||
on e.session_id = t.session_id
|
||||
and e.visit_id = t.visit_id`;
|
||||
|
||||
return rawQuery(
|
||||
`
|
||||
@@ -53,16 +104,7 @@ async function relationalQuery(
|
||||
website_event.visit_id,
|
||||
count(*) as "c",
|
||||
min(website_event.created_at) as "min_time",
|
||||
max(website_event.created_at) as "max_time",
|
||||
max((
|
||||
select count(*)
|
||||
from website_event we2
|
||||
where we2.website_id = website_event.website_id
|
||||
and we2.session_id = website_event.session_id
|
||||
and we2.visit_id = website_event.visit_id
|
||||
and we2.created_at between {{startDate}} and {{endDate}}
|
||||
and we2.event_type = ${EVENT_TYPE.customEvent}
|
||||
)) as "events_count"
|
||||
max(website_event.created_at) as "max_time"
|
||||
from website_event
|
||||
${cohortQuery}
|
||||
${excludeBounceQuery}
|
||||
@@ -72,8 +114,8 @@ async function relationalQuery(
|
||||
and website_event.event_type NOT IN (2, 5)
|
||||
${filterQuery}
|
||||
group by 1, 2
|
||||
|
||||
) as t
|
||||
${visitEventsJoin}
|
||||
`,
|
||||
queryParams,
|
||||
FUNCTION_NAME,
|
||||
@@ -92,17 +134,20 @@ async function clickhouseQuery(
|
||||
|
||||
let sql = '';
|
||||
const { excludeBounce } = filters;
|
||||
const hasEventFilters =
|
||||
EVENT_COLUMNS.some(item => Object.keys(filters).includes(item)) ||
|
||||
!!filters.eventPropertyFilters?.length;
|
||||
const bounceQuery = excludeBounce
|
||||
? '0'
|
||||
: `sumIf(1, t.c = 1 and ifNull(e.events_count, 0) < ${BOUNCE_THRESHOLD})`;
|
||||
: 'sumIf(1, t.c = 1 and t.has_custom_event = 0)';
|
||||
|
||||
if (EVENT_COLUMNS.some(item => Object.keys(filters).includes(item))) {
|
||||
if (hasEventFilters) {
|
||||
sql = `
|
||||
select
|
||||
sum(t.c) as "pageviews",
|
||||
uniq(t.session_id) as "visitors",
|
||||
uniq(t.visit_id) as "visits",
|
||||
${bounceQuery} as "bounces",
|
||||
${excludeBounce ? '0' : 'sumIf(1, t.c = 1 and ifNull(e.has_custom_event, 0) = 0)'} as "bounces",
|
||||
sum(max_time-min_time) as "totaltime"
|
||||
from (
|
||||
select
|
||||
@@ -120,14 +165,14 @@ async function clickhouseQuery(
|
||||
${filterQuery}
|
||||
group by session_id, visit_id
|
||||
) as t
|
||||
left join (
|
||||
select session_id, visit_id, toUInt32(count()) as events_count
|
||||
${excludeBounce ? '' : `left join (
|
||||
select session_id, visit_id, toUInt8(1) as has_custom_event
|
||||
from website_event
|
||||
where website_id = {websiteId:UUID}
|
||||
and created_at between {startDate:DateTime64} and {endDate:DateTime64}
|
||||
and event_type = ${EVENT_TYPE.customEvent}
|
||||
group by session_id, visit_id
|
||||
) as e using (session_id, visit_id);
|
||||
) as e using (session_id, visit_id)`};
|
||||
`;
|
||||
} else {
|
||||
sql = `
|
||||
@@ -137,28 +182,24 @@ async function clickhouseQuery(
|
||||
uniq(visit_id) as "visits",
|
||||
${bounceQuery} as "bounces",
|
||||
sum(max_time-min_time) as "totaltime"
|
||||
from (select
|
||||
from (
|
||||
select
|
||||
session_id,
|
||||
visit_id,
|
||||
sum(views) c,
|
||||
min(min_time) min_time,
|
||||
max(max_time) max_time
|
||||
minIf(min_time, event_type NOT IN (2, 5)) min_time,
|
||||
maxIf(max_time, event_type NOT IN (2, 5)) max_time,
|
||||
max(if(event_type = ${EVENT_TYPE.customEvent} and length(event_name) > 0, 1, 0)) has_custom_event
|
||||
from website_event_stats_hourly "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 event_type != ${EVENT_TYPE.performance}
|
||||
${filterQuery}
|
||||
group by session_id, visit_id
|
||||
having c > 0
|
||||
) as t
|
||||
left join (
|
||||
select session_id, visit_id, toUInt32(sum(length(event_name))) as events_count
|
||||
from website_event_stats_hourly
|
||||
where website_id = {websiteId:UUID}
|
||||
and created_at between {startDate:DateTime64} and {endDate:DateTime64}
|
||||
group by session_id, visit_id
|
||||
) as e using (session_id, visit_id);
|
||||
`;
|
||||
}
|
||||
|
||||
|
||||
@@ -1,5 +1,10 @@
|
||||
import clickhouse from '@/lib/clickhouse';
|
||||
import { BOUNCE_THRESHOLD, EVENT_TYPE, FILTER_COLUMNS, GROUPED_DOMAINS, SESSION_COLUMNS } from '@/lib/constants';
|
||||
import {
|
||||
EVENT_TYPE,
|
||||
FILTER_COLUMNS,
|
||||
GROUPED_DOMAINS,
|
||||
SESSION_COLUMNS,
|
||||
} from '@/lib/constants';
|
||||
import { CLICKHOUSE, PRISMA, runQuery } from '@/lib/db';
|
||||
import prisma from '@/lib/prisma';
|
||||
import type { QueryFilters } from '@/lib/types';
|
||||
@@ -46,6 +51,7 @@ async function relationalQuery(
|
||||
},
|
||||
{ joinSession: SESSION_COLUMNS.includes(type) },
|
||||
);
|
||||
const needsBounceEvents = filters.excludeBounce !== true;
|
||||
const fullPathSearchQuery =
|
||||
type === 'fullPath' && filters.search
|
||||
? `and (case when website_event.url_query != '' then website_event.url_path || '?' || website_event.url_query else website_event.url_path end) ilike {{fullPathSearch}}`
|
||||
@@ -88,6 +94,21 @@ async function relationalQuery(
|
||||
type === 'fullPath'
|
||||
? `case when website_event.url_query != '' then website_event.url_path || '?' || website_event.url_query else website_event.url_path end`
|
||||
: column;
|
||||
const bounceQuery = needsBounceEvents
|
||||
? `sum(case when t.c = 1 and coalesce(e.has_custom_event, 0) = 0 then 1 else 0 end) as "bounces",`
|
||||
: '0 as "bounces",';
|
||||
const visitEventsJoin = needsBounceEvents
|
||||
? `left join (
|
||||
select session_id, visit_id, 1 as "has_custom_event"
|
||||
from website_event
|
||||
where website_id = {{websiteId::uuid}}
|
||||
and created_at between {{startDate}} and {{endDate}}
|
||||
and event_type = ${EVENT_TYPE.customEvent}
|
||||
group by 1, 2
|
||||
) as e
|
||||
on e.session_id = t.session_id
|
||||
and e.visit_id = t.visit_id`
|
||||
: '';
|
||||
|
||||
return rawQuery(
|
||||
`
|
||||
@@ -96,7 +117,7 @@ async function relationalQuery(
|
||||
sum(t.c) as "pageviews",
|
||||
count(distinct t.session_id) as "visitors",
|
||||
count(distinct t.visit_id) as "visits",
|
||||
sum(case when t.c = 1 and t.events_count < ${BOUNCE_THRESHOLD} then 1 else 0 end) as "bounces",
|
||||
${bounceQuery}
|
||||
sum(${getTimestampDiffSQL('t.min_time', 't.max_time')}) as "totaltime"
|
||||
from (
|
||||
select
|
||||
@@ -105,16 +126,7 @@ async function relationalQuery(
|
||||
website_event.visit_id,
|
||||
count(*) as "c",
|
||||
min(website_event.created_at) as "min_time",
|
||||
max(website_event.created_at) as "max_time",
|
||||
max((
|
||||
select count(*)
|
||||
from website_event we2
|
||||
where we2.website_id = website_event.website_id
|
||||
and we2.session_id = website_event.session_id
|
||||
and we2.visit_id = website_event.visit_id
|
||||
and we2.created_at between {{startDate}} and {{endDate}}
|
||||
and we2.event_type = ${EVENT_TYPE.customEvent}
|
||||
)) as "events_count"
|
||||
max(website_event.created_at) as "max_time"
|
||||
from website_event
|
||||
${cohortQuery}
|
||||
${excludeBounceQuery}
|
||||
@@ -128,6 +140,7 @@ async function relationalQuery(
|
||||
${filterQuery}
|
||||
group by ${groupByColumn}, website_event.session_id, website_event.visit_id
|
||||
) as t
|
||||
${visitEventsJoin}
|
||||
where name != ''
|
||||
group by name
|
||||
order by visitors desc, visits desc
|
||||
@@ -154,6 +167,7 @@ async function clickhouseQuery(
|
||||
...filters,
|
||||
websiteId,
|
||||
});
|
||||
const needsBounceEvents = filters.excludeBounce !== true;
|
||||
const fullPathSearchQuery =
|
||||
type === 'fullPath' && filters.search
|
||||
? `and positionCaseInsensitive(if(url_query != '', concat(url_path, '?', url_query), url_path), {fullPathSearch:String}) > 0`
|
||||
@@ -189,6 +203,19 @@ async function clickhouseQuery(
|
||||
} else if (type === 'fullPath') {
|
||||
selectColumn = `if(url_query != '', concat(url_path, '?', url_query), url_path)`;
|
||||
}
|
||||
const bounceQuery = needsBounceEvents
|
||||
? `sumIf(1, t.c = 1 and ifNull(e.has_custom_event, 0) = 0) as "bounces",`
|
||||
: '0 as "bounces",';
|
||||
const visitEventsJoin = needsBounceEvents
|
||||
? `left join (
|
||||
select session_id, visit_id, toUInt8(1) as has_custom_event
|
||||
from website_event
|
||||
where website_id = {websiteId:UUID}
|
||||
and created_at between {startDate:DateTime64} and {endDate:DateTime64}
|
||||
and event_type = ${EVENT_TYPE.customEvent}
|
||||
group by session_id, visit_id
|
||||
) as e using (session_id, visit_id)`
|
||||
: '';
|
||||
|
||||
return rawQuery(
|
||||
`
|
||||
@@ -197,7 +224,7 @@ async function clickhouseQuery(
|
||||
sum(t.c) as "pageviews",
|
||||
uniq(t.session_id) as "visitors",
|
||||
uniq(t.visit_id) as "visits",
|
||||
sumIf(1, t.c = 1 and ifNull(e.events_count, 0) < ${BOUNCE_THRESHOLD}) as "bounces",
|
||||
${bounceQuery}
|
||||
sum(max_time-min_time) as "totaltime"
|
||||
from (
|
||||
select
|
||||
@@ -220,14 +247,7 @@ async function clickhouseQuery(
|
||||
${filterQuery}
|
||||
group by name, session_id, visit_id
|
||||
) as t
|
||||
left join (
|
||||
select session_id, visit_id, toUInt32(count()) as events_count
|
||||
from website_event
|
||||
where website_id = {websiteId:UUID}
|
||||
and created_at between {startDate:DateTime64} and {endDate:DateTime64}
|
||||
and event_type = ${EVENT_TYPE.customEvent}
|
||||
group by session_id, visit_id
|
||||
) as e using (session_id, visit_id)
|
||||
${visitEventsJoin}
|
||||
group by name
|
||||
order by visitors desc, visits desc
|
||||
limit ${limit}
|
||||
|
||||
@@ -1,5 +1,9 @@
|
||||
import clickhouse from '@/lib/clickhouse';
|
||||
import { BOUNCE_THRESHOLD, EVENT_TYPE, FILTER_COLUMNS, SESSION_COLUMNS } from '@/lib/constants';
|
||||
import {
|
||||
EVENT_TYPE,
|
||||
FILTER_COLUMNS,
|
||||
SESSION_COLUMNS,
|
||||
} from '@/lib/constants';
|
||||
import { CLICKHOUSE, PRISMA, runQuery } from '@/lib/db';
|
||||
import prisma from '@/lib/prisma';
|
||||
import type { QueryFilters } from '@/lib/types';
|
||||
@@ -31,7 +35,7 @@ async function relationalQuery(
|
||||
): Promise<BreakdownData[]> {
|
||||
const { getTimestampDiffSQL, parseFilters, rawQuery } = prisma;
|
||||
const { startDate, endDate, fields } = parameters;
|
||||
const { filterQuery, joinSessionQuery, cohortQuery, queryParams } = parseFilters(
|
||||
const { filterQuery, joinSessionQuery, cohortQuery, excludeBounceQuery, queryParams } = parseFilters(
|
||||
{
|
||||
...filters,
|
||||
websiteId,
|
||||
@@ -43,6 +47,22 @@ async function relationalQuery(
|
||||
joinSession: !!fields.find((name: string) => SESSION_COLUMNS.includes(name)),
|
||||
},
|
||||
);
|
||||
const needsBounceEvents = filters.excludeBounce !== true;
|
||||
const bounceQuery = needsBounceEvents
|
||||
? `sum(case when t.c = 1 and coalesce(e.has_custom_event, 0) = 0 then 1 else 0 end) as "bounces",`
|
||||
: '0 as "bounces",';
|
||||
const visitEventsJoin = needsBounceEvents
|
||||
? `left join (
|
||||
select session_id, visit_id, 1 as "has_custom_event"
|
||||
from website_event
|
||||
where website_id = {{websiteId::uuid}}
|
||||
and created_at between {{startDate}} and {{endDate}}
|
||||
and event_type = ${EVENT_TYPE.customEvent}
|
||||
group by 1, 2
|
||||
) as e
|
||||
on e.session_id = t.session_id
|
||||
and e.visit_id = t.visit_id`
|
||||
: '';
|
||||
|
||||
return rawQuery(
|
||||
`
|
||||
@@ -50,7 +70,7 @@ async function relationalQuery(
|
||||
sum(t.c) as "views",
|
||||
count(distinct t.session_id) as "visitors",
|
||||
count(distinct t.visit_id) as "visits",
|
||||
sum(case when t.c = 1 and t.events_count < ${BOUNCE_THRESHOLD} then 1 else 0 end) as "bounces",
|
||||
${bounceQuery}
|
||||
sum(${getTimestampDiffSQL('t.min_time', 't.max_time')}) as "totaltime",
|
||||
${parseFieldsByName(fields)}
|
||||
from (
|
||||
@@ -60,18 +80,10 @@ async function relationalQuery(
|
||||
website_event.visit_id,
|
||||
count(*) as "c",
|
||||
min(website_event.created_at) as "min_time",
|
||||
max(website_event.created_at) as "max_time",
|
||||
max((
|
||||
select count(*)
|
||||
from website_event we2
|
||||
where we2.website_id = website_event.website_id
|
||||
and we2.session_id = website_event.session_id
|
||||
and we2.visit_id = website_event.visit_id
|
||||
and we2.created_at between {{startDate}} and {{endDate}}
|
||||
and we2.event_type = ${EVENT_TYPE.customEvent}
|
||||
)) as "events_count"
|
||||
max(website_event.created_at) as "max_time"
|
||||
from website_event
|
||||
${cohortQuery}
|
||||
${excludeBounceQuery}
|
||||
${joinSessionQuery}
|
||||
where website_event.website_id = {{websiteId::uuid}}
|
||||
and website_event.created_at between {{startDate}} and {{endDate}}
|
||||
@@ -79,6 +91,7 @@ async function relationalQuery(
|
||||
group by ${parseFieldsByName(fields)},
|
||||
website_event.session_id, website_event.visit_id
|
||||
) as t
|
||||
${visitEventsJoin}
|
||||
group by ${parseFieldsByName(fields)}
|
||||
order by 2 desc, 1 desc
|
||||
limit 500
|
||||
@@ -94,13 +107,27 @@ async function clickhouseQuery(
|
||||
): Promise<BreakdownData[]> {
|
||||
const { parseFilters, rawQuery } = clickhouse;
|
||||
const { startDate, endDate, fields } = parameters;
|
||||
const { filterQuery, cohortQuery, queryParams } = parseFilters({
|
||||
const { filterQuery, cohortQuery, excludeBounceQuery, queryParams } = parseFilters({
|
||||
...filters,
|
||||
websiteId,
|
||||
startDate,
|
||||
endDate,
|
||||
eventType: EVENT_TYPE.pageView,
|
||||
});
|
||||
const needsBounceEvents = filters.excludeBounce !== true;
|
||||
const bounceQuery = needsBounceEvents
|
||||
? `sumIf(1, t.c = 1 and ifNull(e.has_custom_event, 0) = 0) as "bounces",`
|
||||
: '0 as "bounces",';
|
||||
const visitEventsJoin = needsBounceEvents
|
||||
? `left join (
|
||||
select session_id, visit_id, toUInt8(1) as has_custom_event
|
||||
from website_event
|
||||
where website_id = {websiteId:UUID}
|
||||
and created_at between {startDate:DateTime64} and {endDate:DateTime64}
|
||||
and event_type = ${EVENT_TYPE.customEvent}
|
||||
group by session_id, visit_id
|
||||
) as e using (session_id, visit_id)`
|
||||
: '';
|
||||
|
||||
return rawQuery(
|
||||
`
|
||||
@@ -108,7 +135,7 @@ async function clickhouseQuery(
|
||||
sum(t.c) as "views",
|
||||
count(distinct t.session_id) as "visitors",
|
||||
count(distinct t.visit_id) as "visits",
|
||||
sumIf(1, t.c = 1 and ifNull(e.events_count, 0) < ${BOUNCE_THRESHOLD}) as "bounces",
|
||||
${bounceQuery}
|
||||
sum(max_time-min_time) as "totaltime",
|
||||
${parseFieldsByName(fields)}
|
||||
from (
|
||||
@@ -121,20 +148,14 @@ async function clickhouseQuery(
|
||||
max(created_at) max_time
|
||||
from website_event
|
||||
${cohortQuery}
|
||||
${excludeBounceQuery}
|
||||
where website_id = {websiteId:UUID}
|
||||
and created_at between {startDate:DateTime64} and {endDate:DateTime64}
|
||||
${filterQuery}
|
||||
group by ${parseFieldsByName(fields)},
|
||||
session_id, visit_id
|
||||
) as t
|
||||
left join (
|
||||
select session_id, visit_id, toUInt32(count()) as events_count
|
||||
from website_event
|
||||
where website_id = {websiteId:UUID}
|
||||
and created_at between {startDate:DateTime64} and {endDate:DateTime64}
|
||||
and event_type = ${EVENT_TYPE.customEvent}
|
||||
group by session_id, visit_id
|
||||
) as e using (session_id, visit_id)
|
||||
${visitEventsJoin}
|
||||
group by ${parseFieldsByName(fields)}
|
||||
order by 2 desc, 1 desc
|
||||
limit 500
|
||||
|
||||
@@ -1,5 +1,9 @@
|
||||
import clickhouse from '@/lib/clickhouse';
|
||||
import { BOUNCE_THRESHOLD, EVENT_TYPE, FILTER_COLUMNS, SESSION_COLUMNS } from '@/lib/constants';
|
||||
import {
|
||||
EVENT_TYPE,
|
||||
FILTER_COLUMNS,
|
||||
SESSION_COLUMNS,
|
||||
} from '@/lib/constants';
|
||||
import { CLICKHOUSE, PRISMA, runQuery } from '@/lib/db';
|
||||
import prisma from '@/lib/prisma';
|
||||
import type { QueryFilters } from '@/lib/types';
|
||||
@@ -48,11 +52,27 @@ async function relationalQuery(
|
||||
joinSession: SESSION_COLUMNS.includes(type),
|
||||
},
|
||||
);
|
||||
const needsBounceEvents = filters.excludeBounce !== true;
|
||||
const includeCountry = column === 'city' || column === 'region';
|
||||
|
||||
if (type === 'language') {
|
||||
column = `lower(left(${type}, 2))`;
|
||||
}
|
||||
const bounceQuery = needsBounceEvents
|
||||
? `sum(case when t.c = 1 and coalesce(e.has_custom_event, 0) = 0 then 1 else 0 end) as "bounces",`
|
||||
: '0 as "bounces",';
|
||||
const visitEventsJoin = needsBounceEvents
|
||||
? `left join (
|
||||
select session_id, visit_id, 1 as "has_custom_event"
|
||||
from website_event
|
||||
where website_id = {{websiteId::uuid}}
|
||||
and created_at between {{startDate}} and {{endDate}}
|
||||
and event_type = ${EVENT_TYPE.customEvent}
|
||||
group by 1, 2
|
||||
) as e
|
||||
on e.session_id = t.session_id
|
||||
and e.visit_id = t.visit_id`
|
||||
: '';
|
||||
|
||||
return rawQuery(
|
||||
`
|
||||
@@ -62,7 +82,7 @@ async function relationalQuery(
|
||||
sum(t.c) as "pageviews",
|
||||
count(distinct t.session_id) as "visitors",
|
||||
count(distinct t.visit_id) as "visits",
|
||||
sum(case when t.c = 1 and t.events_count < ${BOUNCE_THRESHOLD} then 1 else 0 end) as "bounces",
|
||||
${bounceQuery}
|
||||
sum(${getTimestampDiffSQL('t.min_time', 't.max_time')}) as "totaltime"
|
||||
from (
|
||||
select
|
||||
@@ -72,16 +92,7 @@ async function relationalQuery(
|
||||
website_event.visit_id,
|
||||
count(*) as "c",
|
||||
min(website_event.created_at) as "min_time",
|
||||
max(website_event.created_at) as "max_time",
|
||||
max((
|
||||
select count(*)
|
||||
from website_event we2
|
||||
where we2.website_id = website_event.website_id
|
||||
and we2.session_id = website_event.session_id
|
||||
and we2.visit_id = website_event.visit_id
|
||||
and we2.created_at between {{startDate}} and {{endDate}}
|
||||
and we2.event_type = ${EVENT_TYPE.customEvent}
|
||||
)) as "events_count"
|
||||
max(website_event.created_at) as "max_time"
|
||||
from website_event
|
||||
${cohortQuery}
|
||||
${excludeBounceQuery}
|
||||
@@ -93,6 +104,7 @@ async function relationalQuery(
|
||||
group by name, website_event.session_id, website_event.visit_id
|
||||
${includeCountry ? ', country' : ''}
|
||||
) as t
|
||||
${visitEventsJoin}
|
||||
where name != ''
|
||||
group by name
|
||||
${includeCountry ? ', country' : ''}
|
||||
@@ -117,11 +129,25 @@ async function clickhouseQuery(
|
||||
...filters,
|
||||
websiteId,
|
||||
});
|
||||
const needsBounceEvents = filters.excludeBounce !== true;
|
||||
const includeCountry = column === 'city' || column === 'region';
|
||||
|
||||
if (type === 'language') {
|
||||
column = `lower(left(${type}, 2))`;
|
||||
}
|
||||
const bounceQuery = needsBounceEvents
|
||||
? `sumIf(1, t.c = 1 and ifNull(e.has_custom_event, 0) = 0) as "bounces",`
|
||||
: '0 as "bounces",';
|
||||
const visitEventsJoin = needsBounceEvents
|
||||
? `left join (
|
||||
select session_id, visit_id, toUInt8(1) as has_custom_event
|
||||
from website_event
|
||||
where website_id = {websiteId:UUID}
|
||||
and created_at between {startDate:DateTime64} and {endDate:DateTime64}
|
||||
and event_type = ${EVENT_TYPE.customEvent}
|
||||
group by session_id, visit_id
|
||||
) as e using (session_id, visit_id)`
|
||||
: '';
|
||||
|
||||
return rawQuery(
|
||||
`
|
||||
@@ -131,7 +157,7 @@ async function clickhouseQuery(
|
||||
sum(t.c) as "pageviews",
|
||||
uniq(t.session_id) as "visitors",
|
||||
uniq(t.visit_id) as "visits",
|
||||
sumIf(1, t.c = 1 and ifNull(e.events_count, 0) < ${BOUNCE_THRESHOLD}) as "bounces",
|
||||
${bounceQuery}
|
||||
sum(max_time-min_time) as "totaltime"
|
||||
from (
|
||||
select
|
||||
@@ -153,14 +179,7 @@ async function clickhouseQuery(
|
||||
group by name, session_id, visit_id
|
||||
${includeCountry ? ', country' : ''}
|
||||
) as t
|
||||
left join (
|
||||
select session_id, visit_id, toUInt32(count()) as events_count
|
||||
from website_event
|
||||
where website_id = {websiteId:UUID}
|
||||
and created_at between {startDate:DateTime64} and {endDate:DateTime64}
|
||||
and event_type = ${EVENT_TYPE.customEvent}
|
||||
group by session_id, visit_id
|
||||
) as e using (session_id, visit_id)
|
||||
${visitEventsJoin}
|
||||
group by name
|
||||
${includeCountry ? ', country' : ''}
|
||||
order by visitors desc, visits desc
|
||||
|
||||
@@ -0,0 +1,74 @@
|
||||
import { beforeEach, describe, expect, test, vi } from 'vitest';
|
||||
import { DATA_TYPE } from '@/lib/constants';
|
||||
import { relationalQuery } from './saveSessionData';
|
||||
|
||||
const { writeRawQueryMock } = vi.hoisted(() => ({
|
||||
writeRawQueryMock: vi.fn(),
|
||||
}));
|
||||
|
||||
vi.mock('@/lib/prisma', () => ({
|
||||
default: {
|
||||
writeRawQuery: writeRawQueryMock,
|
||||
},
|
||||
}));
|
||||
|
||||
describe('relationalQuery', () => {
|
||||
beforeEach(() => {
|
||||
writeRawQueryMock.mockReset();
|
||||
writeRawQueryMock.mockResolvedValue(undefined);
|
||||
});
|
||||
|
||||
test('writes session data with a Postgres upsert keyed by sessionId and dataKey', async () => {
|
||||
const createdAt = new Date('2026-07-30T10:00:00.000Z');
|
||||
|
||||
await relationalQuery({
|
||||
websiteId: 'website-1',
|
||||
sessionId: 'session-1',
|
||||
sessionData: { plan: 'pro' },
|
||||
distinctId: 'distinct-1',
|
||||
createdAt,
|
||||
});
|
||||
|
||||
expect(writeRawQueryMock).toHaveBeenCalledTimes(1);
|
||||
|
||||
const [query, params, tag] = writeRawQueryMock.mock.calls[0];
|
||||
|
||||
expect(query).toContain('insert into session_data');
|
||||
expect(query).toContain('on conflict (session_id, data_key)');
|
||||
expect(query).toContain('do update set');
|
||||
expect(query).toContain('coalesce({{createdAt}}, now())');
|
||||
expect(query).toContain('created_at = coalesce({{createdAt}}, session_data.created_at)');
|
||||
expect(query).toContain('{{id}}');
|
||||
expect(query).toContain('{{websiteId}}');
|
||||
expect(query).toContain('{{sessionId}}');
|
||||
expect(query).toContain('{{dataKey}}');
|
||||
expect(params).toEqual({
|
||||
id: expect.any(String),
|
||||
websiteId: 'website-1',
|
||||
sessionId: 'session-1',
|
||||
dataKey: 'plan',
|
||||
stringValue: 'pro',
|
||||
numberValue: null,
|
||||
dateValue: null,
|
||||
dataType: DATA_TYPE.string,
|
||||
distinctId: 'distinct-1',
|
||||
createdAt,
|
||||
});
|
||||
expect(tag).toBe('saveSessionData');
|
||||
});
|
||||
|
||||
test('preserves default and existing createdAt behavior when createdAt is omitted', async () => {
|
||||
await relationalQuery({
|
||||
websiteId: 'website-1',
|
||||
sessionId: 'session-1',
|
||||
sessionData: { plan: 'pro' },
|
||||
distinctId: 'distinct-1',
|
||||
});
|
||||
|
||||
const [query, params] = writeRawQueryMock.mock.calls[0];
|
||||
|
||||
expect(query).toContain('coalesce({{createdAt}}, now())');
|
||||
expect(query).toContain('created_at = coalesce({{createdAt}}, session_data.created_at)');
|
||||
expect(params.createdAt).toBeUndefined();
|
||||
});
|
||||
});
|
||||
@@ -30,7 +30,7 @@ export async function relationalQuery({
|
||||
distinctId,
|
||||
createdAt,
|
||||
}: SaveSessionDataArgs) {
|
||||
const { client } = prisma;
|
||||
const { writeRawQuery } = prisma;
|
||||
|
||||
const jsonKeys = flattenJSON(sessionData);
|
||||
const normalizedDistinctId = truncateString(distinctId, FIELD_LENGTH.distinctId);
|
||||
@@ -49,24 +49,69 @@ export async function relationalQuery({
|
||||
}));
|
||||
|
||||
for (const data of flattenedData) {
|
||||
const { sessionId, dataKey, ...props } = data;
|
||||
|
||||
const updateResult = await client.sessionData.updateMany({
|
||||
where: {
|
||||
const {
|
||||
id,
|
||||
websiteId,
|
||||
sessionId,
|
||||
dataKey,
|
||||
},
|
||||
data: {
|
||||
...props,
|
||||
},
|
||||
});
|
||||
stringValue,
|
||||
numberValue,
|
||||
dateValue,
|
||||
dataType,
|
||||
distinctId,
|
||||
createdAt,
|
||||
} = data;
|
||||
|
||||
// If no record was updated, create a new one
|
||||
if (updateResult.count === 0) {
|
||||
await client.sessionData.create({
|
||||
data,
|
||||
});
|
||||
}
|
||||
await writeRawQuery(
|
||||
`
|
||||
insert into session_data (
|
||||
session_data_id,
|
||||
website_id,
|
||||
session_id,
|
||||
data_key,
|
||||
string_value,
|
||||
number_value,
|
||||
date_value,
|
||||
data_type,
|
||||
distinct_id,
|
||||
created_at
|
||||
)
|
||||
values (
|
||||
{{id}},
|
||||
{{websiteId}},
|
||||
{{sessionId}},
|
||||
{{dataKey}},
|
||||
{{stringValue}},
|
||||
{{numberValue}},
|
||||
{{dateValue}},
|
||||
{{dataType}},
|
||||
{{distinctId}},
|
||||
coalesce({{createdAt}}, now())
|
||||
)
|
||||
on conflict (session_id, data_key)
|
||||
do update set
|
||||
website_id = excluded.website_id,
|
||||
string_value = excluded.string_value,
|
||||
number_value = excluded.number_value,
|
||||
date_value = excluded.date_value,
|
||||
data_type = excluded.data_type,
|
||||
distinct_id = excluded.distinct_id,
|
||||
created_at = coalesce({{createdAt}}, session_data.created_at)
|
||||
`,
|
||||
{
|
||||
id,
|
||||
websiteId,
|
||||
sessionId,
|
||||
dataKey,
|
||||
stringValue,
|
||||
numberValue,
|
||||
dateValue,
|
||||
dataType,
|
||||
distinctId,
|
||||
createdAt,
|
||||
},
|
||||
'saveSessionData',
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
Reference in new issue
Block a user