freedakgmail
35 lines
1.3 KiB
SQL
35 lines
1.3 KiB
SQL
-- Step 3: 填充 fact_inventory_snapshot 从盘点倒挤数据ETL
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-- 需要将 cost_unit_code 映射为 store_code，盘点数据中有 sales_store_code 可用
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INSERT INTO analytics.fact_inventory_snapshot (
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store_code, material_code, snapshot_date,
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opening_quantity, opening_amount,
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purchase_quantity, purchase_amount,
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consumption_quantity, consumption_amount,
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ending_quantity, ending_amount,
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waste_quantity, waste_amount,
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transfer_in_quantity, transfer_out_quantity,
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inventory_days, is_negative, created_at
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)
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SELECT
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COALESCE(s.sales_store_code, i.cost_unit_code) AS store_code,
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i.item_code AS material_code,
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i.report_month AS snapshot_date,
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i.opening_quantity, i.opening_amount,
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i.purchase_quantity, i.purchase_amount,
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i.consumption_quantity,
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i.consumption_amount,
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i.ending_quantity, i.ending_amount,
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NULL::numeric AS waste_quantity,
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COALESCE(i.return_loss_amount, 0) AS waste_amount,
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NULL::numeric AS transfer_in_quantity,
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NULL::numeric AS transfer_out_quantity,
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NULL::numeric AS inventory_days,
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i.is_negative_consumption AS is_negative,
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now() AS created_at
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FROM inventory_cost_records i
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LEFT JOIN inventory_store_mapping s ON i.cost_unit_code = s.cost_unit_code
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WHERE i.report_month = DATE '2026-04-01'
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AND i.item_code IS NOT NULL AND i.item_code != ''
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ON CONFLICT DO NOTHING;
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