refine ai pipelines #310
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refine ai pipelines #310
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cyyeh
commented
May 23, 2024
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cyyeh
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- follow-up improvement
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paopa
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May 29, 2024
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| "metrics": [ | ||
| { | ||
| "name": "Revenue", | ||
| "baseObject": "orders", | ||
| "dimension": [ | ||
| { | ||
| "name": "PurchaseTimestamp", | ||
| "type": "TIMESTAMP" | ||
| }, | ||
| { | ||
| "name": "CustomerId", | ||
| "type": "VARCHAR" | ||
| }, | ||
| { | ||
| "name": "Status", | ||
| "type": "VARCHAR" | ||
| }, | ||
| { | ||
| "name": "Size", | ||
| "type": "BIGINT" | ||
| }, | ||
| { | ||
| "name": "IsReviewed", | ||
| "type": "BOOLEAN" | ||
| } | ||
| ], | ||
| "measure": [ | ||
| { | ||
| "name": "Price", | ||
| "type": "DOUBLE", | ||
| "expression": "sum(order_items.Price)" | ||
| }, | ||
| { | ||
| "name": "MoM_Price", | ||
| "type": "DOUBLE", | ||
| "expression": "sum(order_items.Price) - COALESCE(LAG(sum(order_items.Price)) OVER (ORDER BY date_trunc('MONTH', PurchaseTimestamp)), 0) / COALESCE(LAG(sum(order_items.Price)) OVER (ORDER BY date_trunc('MONTH', PurchaseTimestamp)), 1)" | ||
| }, | ||
| { | ||
| "name": "NumberOfOrders", | ||
| "type": "BIGINT", | ||
| "expression": "count(OrderId)" | ||
| }, | ||
| { | ||
| "name": "Peak", | ||
| "type": "DOUBLE", | ||
| "expression": "max(TotalValue)" | ||
| } | ||
| ], | ||
| "timeGrain": [ | ||
| { | ||
| "name": "PurchaseTimestamp", | ||
| "refColumn": "PurchaseTimestamp", | ||
| "dateParts": [ | ||
| "YEAR", | ||
| "MONTH", | ||
| "DAY" | ||
| ] | ||
| } | ||
| ] | ||
| } | ||
| ], | ||
| "metrics": [], | ||
| "cumulativeMetrics": [], | ||
| "views": [ | ||
| { | ||
| "name": "total_items_view", | ||
| "statement": "WITH customer_order_items AS (SELECT c.State, oi.ItemNumber FROM customers c JOIN orders o ON c.Id = o.CustomerId JOIN order_items oi ON o.OrderId = oi.OrderId) SELECT State, COUNT(ItemNumber) AS Total_Items_Purchased FROM customer_order_items GROUP BY State", | ||
| "properties": { | ||
| "question": "How many items have been purchased in orders placed by customers in each state?", | ||
| "summary": "The query counts the total number of items purchased by customers in each state.", | ||
| "viewId": "20b69c05-e9a3-4c4d-a421-06ba7e7a385a" | ||
| } | ||
| } | ||
| ], | ||
| "macros": [ | ||
| { | ||
| "name": "MoM", | ||
| "definition": "(calculation: Expression, timestamp: Expression) => ({{ calculation }} - COALESCE(LAG({{ calculation }}) OVER (ORDER BY {{ timestamp }}), 0)) / COALESCE(LAG({{ calculation }}) OVER (ORDER BY {{ timestamp }}), 1)" | ||
| } | ||
| ], | ||
| "views": [], | ||
| "macros": [], |
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after an offline discussion with @cyyeh, we will keep the MDL file the same as the sample dataset, and add another MDL file with the views and other items section.
paopa
approved these changes
May 29, 2024
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