226 lines
6.9 KiB
SQL
226 lines
6.9 KiB
SQL
-- ============================================
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-- 数据分析实时大屏 - 测试查询脚本
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-- ============================================
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-- 这些查询用于验证实时大屏的数据计算逻辑
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-- ============================================
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-- 1. 测试实时GMV查询
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-- ============================================
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-- 今日GMV
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SELECT
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SUM(total_amount) as today_gmv,
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COUNT(*) as today_order_count
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FROM orders
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WHERE created_at >= DATE_TRUNC('day', NOW())
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AND status = 2;
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-- 昨日同时段GMV（当前时间往前推24小时）
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SELECT
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SUM(total_amount) as yesterday_gmv,
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COUNT(*) as yesterday_order_count
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FROM orders
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WHERE created_at >= DATE_TRUNC('day', NOW() - INTERVAL '1 day')
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AND created_at <= NOW() - INTERVAL '1 day'
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AND status = 2;
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-- GMV增长率计算
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WITH today_stats AS (
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SELECT
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COALESCE(SUM(total_amount), 0) as gmv,
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COUNT(*) as orders
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FROM orders
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WHERE created_at >= DATE_TRUNC('day', NOW())
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AND status = 2
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),
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yesterday_stats AS (
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SELECT
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COALESCE(SUM(total_amount), 0) as gmv,
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COUNT(*) as orders
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FROM orders
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WHERE created_at >= DATE_TRUNC('day', NOW() - INTERVAL '1 day')
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AND created_at <= NOW() - INTERVAL '1 day'
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AND status = 2
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)
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SELECT
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today_stats.gmv as today_gmv,
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yesterday_stats.gmv as yesterday_gmv,
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CASE
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WHEN yesterday_stats.gmv > 0 THEN
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ROUND((today_stats.gmv - yesterday_stats.gmv) / yesterday_stats.gmv * 100, 2)
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ELSE
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CASE WHEN today_stats.gmv > 0 THEN 100 ELSE 0 END
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END as gmv_growth_percent,
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today_stats.orders as today_orders,
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yesterday_stats.orders as yesterday_orders,
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CASE
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WHEN yesterday_stats.orders > 0 THEN
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ROUND((today_stats.orders - yesterday_stats.orders)::numeric / yesterday_stats.orders * 100, 2)
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ELSE
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CASE WHEN today_stats.orders > 0 THEN 100 ELSE 0 END
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END as order_growth_percent
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FROM today_stats, yesterday_stats;
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-- ============================================
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-- 2. 测试在线用户查询
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-- ============================================
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-- 最近5分钟内有活动的用户（在线用户）
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SELECT COUNT(DISTINCT user_id) as online_users
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FROM user_sessions
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WHERE last_active_at >= NOW() - INTERVAL '5 minutes'
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AND is_active = true;
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-- 备用方案：从用户表查询最近5分钟登录的用户
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SELECT COUNT(*) as online_users_from_users
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FROM users
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WHERE last_login_at >= NOW() - INTERVAL '5 minutes';
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-- ============================================
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-- 3. 测试转化率查询
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-- ============================================
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-- 今日下单的唯一用户数
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SELECT COUNT(DISTINCT user_id) as unique_order_users
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FROM orders
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WHERE created_at >= DATE_TRUNC('day', NOW())
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AND status = 2;
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-- 今日访问用户数（从用户会话表）
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SELECT COUNT(DISTINCT user_id) as today_visitors
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FROM user_sessions
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WHERE created_at >= DATE_TRUNC('day', NOW());
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-- 转化率计算
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WITH order_users AS (
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SELECT COUNT(DISTINCT user_id) as count
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FROM orders
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WHERE created_at >= DATE_TRUNC('day', NOW())
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AND status = 2
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),
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visitors AS (
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SELECT COUNT(DISTINCT user_id) as count
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FROM user_sessions
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WHERE created_at >= DATE_TRUNC('day', NOW())
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)
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SELECT
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order_users.count as order_users,
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visitors.count as visitors,
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CASE
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WHEN visitors.count > 0 THEN
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ROUND(order_users.count::numeric / visitors.count * 100, 2)
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ELSE 0
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END as conversion_rate_percent
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FROM order_users, visitors;
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-- ============================================
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-- 4. 综合实时大屏数据查询
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-- ============================================
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WITH
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-- 今日统计
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today_stats AS (
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SELECT
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COALESCE(SUM(total_amount), 0) as gmv,
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COUNT(*) as orders,
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COUNT(DISTINCT user_id) as order_users
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FROM orders
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WHERE created_at >= DATE_TRUNC('day', NOW())
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AND status = 2
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),
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-- 昨日同时段统计
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yesterday_stats AS (
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SELECT
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COALESCE(SUM(total_amount), 0) as gmv,
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COUNT(*) as orders,
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COUNT(DISTINCT user_id) as order_users
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FROM orders
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WHERE created_at >= DATE_TRUNC('day', NOW() - INTERVAL '1 day')
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AND created_at <= NOW() - INTERVAL '1 day'
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AND status = 2
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),
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-- 在线用户
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online_users AS (
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SELECT COUNT(DISTINCT user_id) as count
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FROM user_sessions
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WHERE last_active_at >= NOW() - INTERVAL '5 minutes'
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AND is_active = true
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),
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-- 今日访问用户
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today_visitors AS (
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SELECT COUNT(DISTINCT user_id) as count
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FROM user_sessions
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WHERE created_at >= DATE_TRUNC('day', NOW())
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),
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-- 昨日同时段访问用户
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yesterday_visitors AS (
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SELECT COUNT(DISTINCT user_id) as count
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FROM user_sessions
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WHERE created_at >= DATE_TRUNC('day', NOW() - INTERVAL '1 day')
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AND created_at <= NOW() - INTERVAL '1 day'
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)
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SELECT
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-- GMV数据
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today_stats.gmv as real_time_gmv,
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CASE
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WHEN yesterday_stats.gmv > 0 THEN
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ROUND((today_stats.gmv - yesterday_stats.gmv) / yesterday_stats.gmv * 100, 1)
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ELSE
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CASE WHEN today_stats.gmv > 0 THEN 100.0 ELSE 0.0 END
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END as gmv_growth,
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-- 订单数据
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today_stats.orders as real_time_orders,
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CASE
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WHEN yesterday_stats.orders > 0 THEN
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ROUND((today_stats.orders - yesterday_stats.orders)::numeric / yesterday_stats.orders * 100, 1)
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ELSE
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CASE WHEN today_stats.orders > 0 THEN 100.0 ELSE 0.0 END
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END as order_growth,
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-- 在线用户
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COALESCE(online_users.count, 0) as online_users,
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-- 转化率
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CASE
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WHEN today_visitors.count > 0 THEN
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ROUND(today_stats.order_users::numeric / today_visitors.count * 100, 1)
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ELSE 0
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END as conversion_rate,
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CASE
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WHEN yesterday_visitors.count > 0 AND yesterday_stats.order_users > 0 THEN
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ROUND((today_stats.order_users::numeric / today_visitors.count * 100) -
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(yesterday_stats.order_users::numeric / yesterday_visitors.count * 100), 1)
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ELSE 0
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END as conversion_growth
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FROM today_stats, yesterday_stats, online_users, today_visitors, yesterday_visitors;
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-- ============================================
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-- 5. 数据验证查询
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-- ============================================
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-- 检查今日订单数据
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SELECT
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DATE_TRUNC('hour', created_at) as hour,
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COUNT(*) as order_count,
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SUM(total_amount) as hour_gmv
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FROM orders
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WHERE created_at >= DATE_TRUNC('day', NOW())
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AND status = 2
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GROUP BY DATE_TRUNC('hour', created_at)
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ORDER BY hour DESC;
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-- 检查用户会话数据
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SELECT
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DATE_TRUNC('hour', created_at) as hour,
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COUNT(DISTINCT user_id) as unique_visitors
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FROM user_sessions
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WHERE created_at >= DATE_TRUNC('day', NOW())
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GROUP BY DATE_TRUNC('hour', created_at)
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ORDER BY hour DESC;
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-- 检查最近活动的用户
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SELECT
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user_id,
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last_active_at,
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NOW() - last_active_at as time_ago
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FROM user_sessions
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WHERE last_active_at >= NOW() - INTERVAL '10 minutes'
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AND is_active = true
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ORDER BY last_active_at DESC;
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