init ana page with apis
This commit is contained in:
828
scripts/db/sql/clickhouse/seed-clickhouse-analytics.sql
Normal file
828
scripts/db/sql/clickhouse/seed-clickhouse-analytics.sql
Normal file
@@ -0,0 +1,828 @@
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-- 清空现有数据（可选）
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TRUNCATE TABLE IF EXISTS limq.link_events;
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TRUNCATE TABLE IF EXISTS limq.link_daily_stats;
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TRUNCATE TABLE IF EXISTS limq.link_hourly_patterns;
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TRUNCATE TABLE IF EXISTS limq.links;
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-- 使用固定的UUID值插入链接
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INSERT INTO
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limq.links (
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link_id,
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original_url,
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created_at,
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created_by,
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title,
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description,
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tags,
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is_active
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)
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VALUES
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(
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'11111111-1111-1111-1111-111111111111',
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'https://example.com/page1',
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now(),
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'user-1',
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'产品页面',
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'我们的主要产品页面',
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[ '产品',
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'营销' ],
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true
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);
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INSERT INTO
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limq.links (
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link_id,
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original_url,
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created_at,
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created_by,
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title,
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description,
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tags,
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is_active
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)
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VALUES
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(
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'22222222-2222-2222-2222-222222222222',
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'https://example.com/promo',
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now(),
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'user-1',
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'促销活动',
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'夏季特别促销活动',
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[ '促销',
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'活动' ],
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true
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);
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INSERT INTO
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limq.links (
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link_id,
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original_url,
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created_at,
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created_by,
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title,
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description,
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tags,
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is_active
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)
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VALUES
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(
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'33333333-3333-3333-3333-333333333333',
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'https://example.com/blog',
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now(),
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'user-2',
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'公司博客',
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'公司新闻和更新',
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[ '博客',
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'内容' ],
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true
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);
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INSERT INTO
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limq.links (
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link_id,
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original_url,
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created_at,
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created_by,
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title,
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description,
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tags,
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is_active
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)
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VALUES
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(
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'44444444-4444-4444-4444-444444444444',
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'https://example.com/signup',
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now(),
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'user-2',
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'注册页面',
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'新用户注册页面',
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[ '转化',
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'注册' ],
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true
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);
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-- 为第一个链接创建500条记录
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INSERT INTO
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limq.link_events (
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event_id,
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event_time,
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date,
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link_id,
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channel_id,
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visitor_id,
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session_id,
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event_type,
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ip_address,
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country,
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city,
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referrer,
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utm_source,
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utm_medium,
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utm_campaign,
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user_agent,
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device_type,
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browser,
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os,
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time_spent_sec,
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is_bounce,
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is_qr_scan,
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qr_code_id,
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conversion_type,
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conversion_value,
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custom_data
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)
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SELECT
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generateUUIDv4() AS event_id,
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subtractDays(now(), rand() % 30) AS event_time,
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toDate(event_time) AS date,
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'11111111-1111-1111-1111-111111111111' AS link_id,
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'channel-1' AS channel_id,
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concat('visitor-', toString(rand() % 100 + 1)) AS visitor_id,
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concat('session-', toString(number % 50 + 1)) AS session_id,
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multiIf(
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rand() % 100 < 70,
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'click',
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rand() % 100 < 90,
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'redirect',
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rand() % 100 < 98,
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'conversion',
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'error'
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) AS event_type,
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concat('192.168.1.', toString(rand() % 255)) AS ip_address,
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multiIf(
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rand() % 100 < 60,
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'China',
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rand() % 100 < 85,
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'US',
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rand() % 100 < 95,
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'Japan',
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'Other'
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) AS country,
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multiIf(
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rand() % 100 < 60,
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'Beijing',
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rand() % 100 < 85,
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'New York',
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rand() % 100 < 95,
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'Tokyo',
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'Other'
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) AS city,
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multiIf(
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rand() % 100 < 30,
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'https://google.com',
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rand() % 100 < 50,
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'https://facebook.com',
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rand() % 100 < 65,
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'https://twitter.com',
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rand() % 100 < 75,
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'https://instagram.com',
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rand() % 100 < 85,
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'https://linkedin.com',
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rand() % 100 < 90,
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'https://bing.com',
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rand() % 100 < 95,
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'https://baidu.com',
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'direct'
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) AS referrer,
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multiIf(
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rand() % 100 < 40,
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'google',
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rand() % 100 < 70,
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'facebook',
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rand() % 100 < 90,
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'email',
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'direct'
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) AS utm_source,
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multiIf(
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rand() % 100 < 40,
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'cpc',
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rand() % 100 < 70,
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'social',
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rand() % 100 < 90,
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'email',
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'direct'
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) AS utm_medium,
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multiIf(
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rand() % 100 < 40,
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'summer_sale',
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rand() % 100 < 70,
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'product_launch',
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rand() % 100 < 90,
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'newsletter',
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'brand'
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) AS utm_campaign,
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'Mozilla/5.0' AS user_agent,
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multiIf(
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rand() % 100 < 60,
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'mobile',
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rand() % 100 < 85,
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'desktop',
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rand() % 100 < 95,
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'tablet',
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'other'
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) AS device_type,
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multiIf(
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rand() % 100 < 50,
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'Chrome',
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rand() % 100 < 80,
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'Safari',
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rand() % 100 < 95,
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'Firefox',
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'Edge'
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) AS browser,
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multiIf(
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rand() % 100 < 50,
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'iOS',
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rand() % 100 < 90,
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'Android',
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'Windows'
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) AS os,
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rand() % 300 AS time_spent_sec,
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rand() % 100 < 25 AS is_bounce,
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rand() % 100 < 20 AS is_qr_scan,
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concat('qr-', toString(rand() % 10 + 1)) AS qr_code_id,
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multiIf(
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rand() % 100 < 50,
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'visit',
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rand() % 100 < 70,
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'stay',
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rand() % 100 < 85,
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'interact',
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rand() % 100 < 93,
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'signup',
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rand() % 100 < 97,
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'subscription',
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'purchase'
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) AS conversion_type,
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rand() % 100 * 1.5 AS conversion_value,
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'{}' AS custom_data
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FROM
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numbers(500);
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-- 为第二个链接创建300条记录
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INSERT INTO
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limq.link_events (
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event_id,
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event_time,
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date,
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link_id,
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channel_id,
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visitor_id,
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session_id,
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event_type,
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ip_address,
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country,
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city,
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referrer,
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utm_source,
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utm_medium,
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utm_campaign,
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user_agent,
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device_type,
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browser,
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os,
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time_spent_sec,
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is_bounce,
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is_qr_scan,
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qr_code_id,
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conversion_type,
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conversion_value,
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custom_data
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)
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SELECT
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generateUUIDv4() AS event_id,
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subtractDays(now(), rand() % 30) AS event_time,
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toDate(event_time) AS date,
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'22222222-2222-2222-2222-222222222222' AS link_id,
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'channel-1' AS channel_id,
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concat('visitor-', toString(rand() % 100 + 1)) AS visitor_id,
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concat('session-', toString(number % 40 + 1)) AS session_id,
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multiIf(
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rand() % 100 < 70,
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'click',
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rand() % 100 < 90,
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'redirect',
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rand() % 100 < 98,
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'conversion',
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'error'
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) AS event_type,
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concat('192.168.1.', toString(rand() % 255)) AS ip_address,
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multiIf(
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rand() % 100 < 60,
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'China',
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rand() % 100 < 85,
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'US',
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rand() % 100 < 95,
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'Japan',
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'Other'
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) AS country,
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multiIf(
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rand() % 100 < 60,
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'Beijing',
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rand() % 100 < 85,
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'New York',
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rand() % 100 < 95,
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'Tokyo',
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'Other'
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) AS city,
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multiIf(
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rand() % 100 < 30,
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'https://google.com',
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rand() % 100 < 50,
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'https://facebook.com',
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rand() % 100 < 65,
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'https://twitter.com',
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rand() % 100 < 75,
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'https://instagram.com',
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rand() % 100 < 85,
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'https://linkedin.com',
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rand() % 100 < 90,
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'https://bing.com',
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rand() % 100 < 95,
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'https://baidu.com',
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'direct'
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) AS referrer,
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multiIf(
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rand() % 100 < 40,
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'google',
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rand() % 100 < 70,
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'facebook',
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rand() % 100 < 90,
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'email',
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'direct'
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) AS utm_source,
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multiIf(
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rand() % 100 < 40,
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'cpc',
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rand() % 100 < 70,
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'social',
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rand() % 100 < 90,
|
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'email',
|
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'direct'
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) AS utm_medium,
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multiIf(
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rand() % 100 < 40,
|
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'summer_sale',
|
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rand() % 100 < 70,
|
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'product_launch',
|
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rand() % 100 < 90,
|
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'newsletter',
|
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'brand'
|
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) AS utm_campaign,
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'Mozilla/5.0' AS user_agent,
|
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multiIf(
|
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rand() % 100 < 60,
|
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'mobile',
|
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rand() % 100 < 85,
|
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'desktop',
|
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rand() % 100 < 95,
|
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'tablet',
|
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'other'
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) AS device_type,
|
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multiIf(
|
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rand() % 100 < 50,
|
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'Chrome',
|
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rand() % 100 < 80,
|
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'Safari',
|
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rand() % 100 < 95,
|
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'Firefox',
|
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'Edge'
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) AS browser,
|
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multiIf(
|
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rand() % 100 < 50,
|
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'iOS',
|
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rand() % 100 < 90,
|
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'Android',
|
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'Windows'
|
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) AS os,
|
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rand() % 300 AS time_spent_sec,
|
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rand() % 100 < 25 AS is_bounce,
|
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rand() % 100 < 15 AS is_qr_scan,
|
||||
concat('qr-', toString(rand() % 10 + 1)) AS qr_code_id,
|
||||
multiIf(
|
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rand() % 100 < 50,
|
||||
'visit',
|
||||
rand() % 100 < 70,
|
||||
'stay',
|
||||
rand() % 100 < 85,
|
||||
'interact',
|
||||
rand() % 100 < 93,
|
||||
'signup',
|
||||
rand() % 100 < 97,
|
||||
'subscription',
|
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'purchase'
|
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) AS conversion_type,
|
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rand() % 100 * 2.5 AS conversion_value,
|
||||
'{}' AS custom_data
|
||||
FROM
|
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numbers(300);
|
||||
|
||||
-- 为第三个链接创建200条记录
|
||||
INSERT INTO
|
||||
limq.link_events (
|
||||
event_id,
|
||||
event_time,
|
||||
date,
|
||||
link_id,
|
||||
channel_id,
|
||||
visitor_id,
|
||||
session_id,
|
||||
event_type,
|
||||
ip_address,
|
||||
country,
|
||||
city,
|
||||
referrer,
|
||||
utm_source,
|
||||
utm_medium,
|
||||
utm_campaign,
|
||||
user_agent,
|
||||
device_type,
|
||||
browser,
|
||||
os,
|
||||
time_spent_sec,
|
||||
is_bounce,
|
||||
is_qr_scan,
|
||||
qr_code_id,
|
||||
conversion_type,
|
||||
conversion_value,
|
||||
custom_data
|
||||
)
|
||||
SELECT
|
||||
generateUUIDv4() AS event_id,
|
||||
subtractDays(now(), rand() % 30) AS event_time,
|
||||
toDate(event_time) AS date,
|
||||
'33333333-3333-3333-3333-333333333333' AS link_id,
|
||||
'channel-2' AS channel_id,
|
||||
concat('visitor-', toString(rand() % 100 + 1)) AS visitor_id,
|
||||
concat('session-', toString(number % 30 + 1)) AS session_id,
|
||||
multiIf(
|
||||
rand() % 100 < 70,
|
||||
'click',
|
||||
rand() % 100 < 90,
|
||||
'redirect',
|
||||
rand() % 100 < 98,
|
||||
'conversion',
|
||||
'error'
|
||||
) AS event_type,
|
||||
concat('192.168.1.', toString(rand() % 255)) AS ip_address,
|
||||
multiIf(
|
||||
rand() % 100 < 60,
|
||||
'China',
|
||||
rand() % 100 < 85,
|
||||
'US',
|
||||
rand() % 100 < 95,
|
||||
'Japan',
|
||||
'Other'
|
||||
) AS country,
|
||||
multiIf(
|
||||
rand() % 100 < 60,
|
||||
'Beijing',
|
||||
rand() % 100 < 85,
|
||||
'New York',
|
||||
rand() % 100 < 95,
|
||||
'Tokyo',
|
||||
'Other'
|
||||
) AS city,
|
||||
multiIf(
|
||||
rand() % 100 < 30,
|
||||
'https://google.com',
|
||||
rand() % 100 < 50,
|
||||
'https://facebook.com',
|
||||
rand() % 100 < 65,
|
||||
'https://twitter.com',
|
||||
rand() % 100 < 75,
|
||||
'https://instagram.com',
|
||||
rand() % 100 < 85,
|
||||
'https://linkedin.com',
|
||||
rand() % 100 < 90,
|
||||
'https://bing.com',
|
||||
rand() % 100 < 95,
|
||||
'https://baidu.com',
|
||||
'direct'
|
||||
) AS referrer,
|
||||
multiIf(
|
||||
rand() % 100 < 40,
|
||||
'google',
|
||||
rand() % 100 < 70,
|
||||
'facebook',
|
||||
rand() % 100 < 90,
|
||||
'email',
|
||||
'direct'
|
||||
) AS utm_source,
|
||||
multiIf(
|
||||
rand() % 100 < 40,
|
||||
'cpc',
|
||||
rand() % 100 < 70,
|
||||
'social',
|
||||
rand() % 100 < 90,
|
||||
'email',
|
||||
'direct'
|
||||
) AS utm_medium,
|
||||
multiIf(
|
||||
rand() % 100 < 40,
|
||||
'summer_sale',
|
||||
rand() % 100 < 70,
|
||||
'product_launch',
|
||||
rand() % 100 < 90,
|
||||
'newsletter',
|
||||
'brand'
|
||||
) AS utm_campaign,
|
||||
'Mozilla/5.0' AS user_agent,
|
||||
multiIf(
|
||||
rand() % 100 < 60,
|
||||
'mobile',
|
||||
rand() % 100 < 85,
|
||||
'desktop',
|
||||
rand() % 100 < 95,
|
||||
'tablet',
|
||||
'other'
|
||||
) AS device_type,
|
||||
multiIf(
|
||||
rand() % 100 < 50,
|
||||
'Chrome',
|
||||
rand() % 100 < 80,
|
||||
'Safari',
|
||||
rand() % 100 < 95,
|
||||
'Firefox',
|
||||
'Edge'
|
||||
) AS browser,
|
||||
multiIf(
|
||||
rand() % 100 < 50,
|
||||
'iOS',
|
||||
rand() % 100 < 90,
|
||||
'Android',
|
||||
'Windows'
|
||||
) AS os,
|
||||
rand() % 600 AS time_spent_sec,
|
||||
rand() % 100 < 15 AS is_bounce,
|
||||
rand() % 100 < 10 AS is_qr_scan,
|
||||
concat('qr-', toString(rand() % 10 + 1)) AS qr_code_id,
|
||||
multiIf(
|
||||
rand() % 100 < 50,
|
||||
'visit',
|
||||
rand() % 100 < 70,
|
||||
'stay',
|
||||
rand() % 100 < 85,
|
||||
'interact',
|
||||
rand() % 100 < 93,
|
||||
'signup',
|
||||
rand() % 100 < 97,
|
||||
'subscription',
|
||||
'purchase'
|
||||
) AS conversion_type,
|
||||
rand() % 100 * 1.2 AS conversion_value,
|
||||
'{}' AS custom_data
|
||||
FROM
|
||||
numbers(200);
|
||||
|
||||
-- 为第四个链接创建400条记录
|
||||
INSERT INTO
|
||||
limq.link_events (
|
||||
event_id,
|
||||
event_time,
|
||||
date,
|
||||
link_id,
|
||||
channel_id,
|
||||
visitor_id,
|
||||
session_id,
|
||||
event_type,
|
||||
ip_address,
|
||||
country,
|
||||
city,
|
||||
referrer,
|
||||
utm_source,
|
||||
utm_medium,
|
||||
utm_campaign,
|
||||
user_agent,
|
||||
device_type,
|
||||
browser,
|
||||
os,
|
||||
time_spent_sec,
|
||||
is_bounce,
|
||||
is_qr_scan,
|
||||
qr_code_id,
|
||||
conversion_type,
|
||||
conversion_value,
|
||||
custom_data
|
||||
)
|
||||
SELECT
|
||||
generateUUIDv4() AS event_id,
|
||||
subtractDays(now(), rand() % 30) AS event_time,
|
||||
toDate(event_time) AS date,
|
||||
'44444444-4444-4444-4444-444444444444' AS link_id,
|
||||
'channel-2' AS channel_id,
|
||||
concat('visitor-', toString(rand() % 100 + 1)) AS visitor_id,
|
||||
concat('session-', toString(number % 60 + 1)) AS session_id,
|
||||
multiIf(
|
||||
rand() % 100 < 70,
|
||||
'click',
|
||||
rand() % 100 < 90,
|
||||
'redirect',
|
||||
rand() % 100 < 98,
|
||||
'conversion',
|
||||
'error'
|
||||
) AS event_type,
|
||||
concat('192.168.1.', toString(rand() % 255)) AS ip_address,
|
||||
multiIf(
|
||||
rand() % 100 < 60,
|
||||
'China',
|
||||
rand() % 100 < 85,
|
||||
'US',
|
||||
rand() % 100 < 95,
|
||||
'Japan',
|
||||
'Other'
|
||||
) AS country,
|
||||
multiIf(
|
||||
rand() % 100 < 60,
|
||||
'Beijing',
|
||||
rand() % 100 < 85,
|
||||
'New York',
|
||||
rand() % 100 < 95,
|
||||
'Tokyo',
|
||||
'Other'
|
||||
) AS city,
|
||||
multiIf(
|
||||
rand() % 100 < 30,
|
||||
'https://google.com',
|
||||
rand() % 100 < 50,
|
||||
'https://facebook.com',
|
||||
rand() % 100 < 65,
|
||||
'https://twitter.com',
|
||||
rand() % 100 < 75,
|
||||
'https://instagram.com',
|
||||
rand() % 100 < 85,
|
||||
'https://linkedin.com',
|
||||
rand() % 100 < 90,
|
||||
'https://bing.com',
|
||||
rand() % 100 < 95,
|
||||
'https://baidu.com',
|
||||
'direct'
|
||||
) AS referrer,
|
||||
multiIf(
|
||||
rand() % 100 < 40,
|
||||
'google',
|
||||
rand() % 100 < 70,
|
||||
'facebook',
|
||||
rand() % 100 < 90,
|
||||
'email',
|
||||
'direct'
|
||||
) AS utm_source,
|
||||
multiIf(
|
||||
rand() % 100 < 40,
|
||||
'cpc',
|
||||
rand() % 100 < 70,
|
||||
'social',
|
||||
rand() % 100 < 90,
|
||||
'email',
|
||||
'direct'
|
||||
) AS utm_medium,
|
||||
multiIf(
|
||||
rand() % 100 < 40,
|
||||
'summer_sale',
|
||||
rand() % 100 < 70,
|
||||
'product_launch',
|
||||
rand() % 100 < 90,
|
||||
'newsletter',
|
||||
'brand'
|
||||
) AS utm_campaign,
|
||||
'Mozilla/5.0' AS user_agent,
|
||||
multiIf(
|
||||
rand() % 100 < 60,
|
||||
'mobile',
|
||||
rand() % 100 < 85,
|
||||
'desktop',
|
||||
rand() % 100 < 95,
|
||||
'tablet',
|
||||
'other'
|
||||
) AS device_type,
|
||||
multiIf(
|
||||
rand() % 100 < 50,
|
||||
'Chrome',
|
||||
rand() % 100 < 80,
|
||||
'Safari',
|
||||
rand() % 100 < 95,
|
||||
'Firefox',
|
||||
'Edge'
|
||||
) AS browser,
|
||||
multiIf(
|
||||
rand() % 100 < 50,
|
||||
'iOS',
|
||||
rand() % 100 < 90,
|
||||
'Android',
|
||||
'Windows'
|
||||
) AS os,
|
||||
rand() % 400 AS time_spent_sec,
|
||||
rand() % 100 < 20 AS is_bounce,
|
||||
rand() % 100 < 25 AS is_qr_scan,
|
||||
concat('qr-', toString(rand() % 10 + 1)) AS qr_code_id,
|
||||
multiIf(
|
||||
rand() % 100 < 50,
|
||||
'visit',
|
||||
rand() % 100 < 70,
|
||||
'stay',
|
||||
rand() % 100 < 85,
|
||||
'interact',
|
||||
rand() % 100 < 93,
|
||||
'signup',
|
||||
rand() % 100 < 97,
|
||||
'subscription',
|
||||
'purchase'
|
||||
) AS conversion_type,
|
||||
rand() % 100 * 3.5 AS conversion_value,
|
||||
'{}' AS custom_data
|
||||
FROM
|
||||
numbers(400);
|
||||
|
||||
-- 插入link_daily_stats表数据
|
||||
INSERT INTO
|
||||
limq.link_daily_stats (
|
||||
date,
|
||||
link_id,
|
||||
total_clicks,
|
||||
unique_visitors,
|
||||
unique_sessions,
|
||||
total_time_spent,
|
||||
avg_time_spent,
|
||||
bounce_count,
|
||||
conversion_count,
|
||||
unique_referrers,
|
||||
mobile_count,
|
||||
tablet_count,
|
||||
desktop_count,
|
||||
qr_scan_count,
|
||||
total_conversion_value
|
||||
)
|
||||
SELECT
|
||||
subtractDays(today(), number) AS date,
|
||||
multiIf(
|
||||
number % 4 = 0,
|
||||
'11111111-1111-1111-1111-111111111111',
|
||||
number % 4 = 1,
|
||||
'22222222-2222-2222-2222-222222222222',
|
||||
number % 4 = 2,
|
||||
'33333333-3333-3333-3333-333333333333',
|
||||
'44444444-4444-4444-4444-444444444444'
|
||||
) AS link_id,
|
||||
50 + rand() % 100 AS total_clicks,
|
||||
30 + rand() % 50 AS unique_visitors,
|
||||
20 + rand() % 40 AS unique_sessions,
|
||||
(500 + rand() % 1000) * 60 AS total_time_spent,
|
||||
(rand() % 10) * 60 + rand() % 60 AS avg_time_spent,
|
||||
5 + rand() % 20 AS bounce_count,
|
||||
rand() % 30 AS conversion_count,
|
||||
3 + rand() % 8 AS unique_referrers,
|
||||
20 + rand() % 40 AS mobile_count,
|
||||
5 + rand() % 15 AS tablet_count,
|
||||
15 + rand() % 30 AS desktop_count,
|
||||
rand() % 10 AS qr_scan_count,
|
||||
rand() % 1000 * 2.5 AS total_conversion_value
|
||||
FROM
|
||||
numbers(30)
|
||||
WHERE
|
||||
number < 30;
|
||||
|
||||
-- 插入link_hourly_patterns表数据
|
||||
INSERT INTO
|
||||
limq.link_hourly_patterns (date, hour, link_id, visits, unique_visitors)
|
||||
SELECT
|
||||
subtractDays(today(), number % 7) AS date,
|
||||
number % 24 AS hour,
|
||||
multiIf(
|
||||
intDiv(number, 24) % 4 = 0,
|
||||
'11111111-1111-1111-1111-111111111111',
|
||||
intDiv(number, 24) % 4 = 1,
|
||||
'22222222-2222-2222-2222-222222222222',
|
||||
intDiv(number, 24) % 4 = 2,
|
||||
'33333333-3333-3333-3333-333333333333',
|
||||
'44444444-4444-4444-4444-444444444444'
|
||||
) AS link_id,
|
||||
5 + rand() % 20 AS visits,
|
||||
3 + rand() % 10 AS unique_visitors
|
||||
FROM
|
||||
numbers(672) -- 7天 x 24小时 x 4个链接
|
||||
WHERE
|
||||
number < 672;
|
||||
|
||||
-- 显示数据行数，验证插入成功
|
||||
SELECT
|
||||
'link_events 表行数:' AS metric,
|
||||
count() AS value
|
||||
FROM
|
||||
limq.link_events
|
||||
UNION
|
||||
ALL
|
||||
SELECT
|
||||
'link_daily_stats 表行数:',
|
||||
count()
|
||||
FROM
|
||||
limq.link_daily_stats
|
||||
UNION
|
||||
ALL
|
||||
SELECT
|
||||
'link_hourly_patterns 表行数:',
|
||||
count()
|
||||
FROM
|
||||
limq.link_hourly_patterns;
|
||||
Reference in New Issue
Block a user