61 lines
2.6 KiB
SQL
61 lines
2.6 KiB
SQL
-- ===============================================
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-- DML: построение Data Marts из DDS
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-- Идемпотентно: можно пересобирать в любое время
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-- ===============================================
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-- 1. Очистка (full refresh — для простоты; в продакшене — incremental)
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TRUNCATE dm.mart_daily_sales, dm.mart_customer_360;
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-- 2. mart_daily_sales: продажи по датам и товарам
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-- Одна строка = дата × товар × простой сегмент заказа
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INSERT INTO dm.mart_daily_sales (
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date_actual, product_name, customer_segment, total_qty, total_revenue
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)
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SELECT
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d.date_actual,
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p.product_name,
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-- Делим заказы на Premium / Basic по сумме
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CASE
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WHEN f.amount >= 200 THEN 'Premium'
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ELSE 'Basic'
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END AS customer_segment,
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SUM(f.quantity) AS total_qty,
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SUM(f.amount) AS total_revenue
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FROM dds.fact_sales f
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JOIN dds.dim_date d ON f.date_key = d.date_key
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JOIN dds.dim_product p ON f.product_sk = p.product_sk
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JOIN dds.dim_customer c ON f.customer_sk = c.customer_sk -- факт уже ссылается на нужную версию клиента
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GROUP BY d.date_actual, p.product_name,
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CASE WHEN f.amount >= 200 THEN 'Premium' ELSE 'Basic' END;
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-- 3. mart_customer_360: 360‑портрет клиента
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-- Одна строка = один клиент
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-- Считаем суммы по всей истории его покупок
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INSERT INTO dm.mart_customer_360 (
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customer_bk, first_order_date, last_order_date,
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total_orders, total_items, lifetime_value,
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last_email, last_city
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)
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SELECT
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c.customer_bk,
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MIN(d.date_actual) AS first_order_date,
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MAX(d.date_actual) AS last_order_date,
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COUNT(DISTINCT f.sale_id) AS total_orders, -- считаем строки факта (продажи), не бизнес-заказы
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SUM(f.quantity) AS total_items,
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SUM(f.amount) AS lifetime_value,
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-- Берём самый свежий email и город клиента
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(SELECT email FROM dds.dim_customer c2
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WHERE c2.customer_bk = c.customer_bk
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ORDER BY c2.valid_from DESC
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LIMIT 1) AS last_email,
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(SELECT city FROM dds.dim_customer c2
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WHERE c2.customer_bk = c.customer_bk
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ORDER BY c2.valid_from DESC
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LIMIT 1) AS last_city
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FROM dds.fact_sales f
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JOIN dds.dim_date d ON f.date_key = d.date_key
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JOIN dds.dim_customer c ON f.customer_sk = c.customer_sk
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-- Здесь НЕ фильтруем по is_current: нужна вся история фактов
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GROUP BY c.customer_bk;
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