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MINOR: Add cost in sample usage queries (#20211)
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@ -1,18 +1,24 @@
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query
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"select * from shopify.raw_product_catalog"
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"select comments, products from shopify.raw_product_catalog"
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"select cust.customer_id, fact_order.order_id from dim_customer cust join fact_order on cust.customer_id = fact_order.customer_id"
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"select sale.sale_id, cust.customer_id, fact_order.order_ir from shopify.fact_sale sale join dim_customer cust on sale.customer_id = cust.customer_id join fact_order on fact_order.order_id = sale.order_id"
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"select case when net_sales > 100 then 'high' else 'low' end as map_sales from shopify.fact_sale"
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"select ROW_NUMBER() OVER (PARTITION BY sale_id, customer_id) AS sale_row from shopify.fact_sale"
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"select * from shopify.raw_customer"
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"select * from shopify.raw_customer"
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"select * from shopify.raw_customer"
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"select * from shopify.raw_customer"
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"select * from shopify.raw_customer"
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"select * from shopify.raw_customer"
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"select * from shopify.raw_customer"
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"select * from shopify.raw_customer"
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"select * from shopify.raw_customer"
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"select * from shopify.raw_customer"
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"create table shopify.dim_address_clean as select address_id, shop_id, first_name, last_name, address1 as address, company, city, region, zip, country, phone from shopify.dim_address"
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query,cost
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"select * from shopify.raw_product_catalog",10
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"select * from shopify.raw_product_catalog",12
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"select comments, products from shopify.raw_product_catalog",2
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"select comments, products from shopify.raw_product_catalog",3
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"select comments, products from shopify.raw_product_catalog",9
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"select cust.customer_id, fact_order.order_id from dim_customer cust join fact_order on cust.customer_id = fact_order.customer_id",0.222
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"select sale.sale_id, cust.customer_id, fact_order.order_ir from shopify.fact_sale sale join dim_customer cust on sale.customer_id = cust.customer_id join fact_order on fact_order.order_id = sale.order_id",0.234
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"select sale.sale_id, cust.customer_id, fact_order.order_ir from shopify.fact_sale sale join dim_customer cust on sale.customer_id = cust.customer_id join fact_order on fact_order.order_id = sale.order_id",0.5
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"select sale.sale_id, cust.customer_id, fact_order.order_ir from shopify.fact_sale sale join dim_customer cust on sale.customer_id = cust.customer_id join fact_order on fact_order.order_id = sale.order_id",0.65
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"select case when net_sales > 100 then 'high' else 'low' end as map_sales from shopify.fact_sale",2
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"select ROW_NUMBER() OVER (PARTITION BY sale_id, customer_id) AS sale_row from shopify.fact_sale",5
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"select * from shopify.raw_customer",19
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"select * from shopify.raw_customer",19
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"select * from shopify.raw_customer",18
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"select * from shopify.raw_customer",17
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"select * from shopify.raw_customer",16
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"select * from shopify.raw_customer",20
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"select * from shopify.raw_customer",21
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"select * from shopify.raw_customer",22
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"select * from shopify.raw_customer",15
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"select * from shopify.raw_customer",12
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"create table shopify.dim_address_clean as select address_id, shop_id, first_name, last_name, address1 as address, company, city, region, zip, country, phone from shopify.dim_address",0.5
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"create table shopify.dim_address_clean as select address_id, shop_id, first_name, last_name, address1 as address, company, city, region, zip, country, phone from shopify.dim_address",0.5
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@ -92,6 +92,7 @@ class SampleUsageSource(UsageSource):
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databaseName="ecommerce_db",
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serviceName=self.config.serviceName,
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databaseSchema="shopify",
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cost=row.get("cost"),
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)
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for row in self.query_logs
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]
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