Commit 5b85006

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feat: update sql solution to lc problem: No.1174 (doocs#2187)

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Lines changed: 2 additions & 2 deletions

Original file line number	Diff line number	Diff line change
`@@ -82,7 +82,7 @@ Delivery 表:`
`82`	`82`	```sql
`83`	`83`	`# Write your MySQL query statement below`
`84`	`84`	`SELECT`
`85`		`- ROUND(SUM(order_date = customer_pref_delivery_date) /COUNT(1) * 100, 2) AS immediate_percentage`
	`85`	`+ ROUND(AVG(order_date = customer_pref_delivery_date) * 100, 2) AS immediate_percentage`
`86`	`86`	`FROM Delivery`
`87`	`87`	`WHERE`
`88`	`88`	`(customer_id, order_date) IN (`
`@@ -105,7 +105,7 @@ WITH`
`105`	`105`	`FROM Delivery`
`106`	`106`	`)`
`107`	`107`	`SELECT`
`108`		`- ROUND(SUM(order_date = customer_pref_delivery_date) /COUNT(1) * 100, 2) AS immediate_percentage`
	`108`	`+ ROUND(AVG(order_date = customer_pref_delivery_date) * 100, 2) AS immediate_percentage`
`109`	`109`	`FROM T`
`110`	`110`	`WHERE rk = 1;`
`111`	`111`	```

Lines changed: 2 additions & 2 deletions

Original file line number	Diff line number	Diff line change
@@ -77,7 +77,7 @@ We can use the `RANK()` window function to rank the orders of each user in ascen
`77`	`77`	```sql
`78`	`78`	`# Write your MySQL query statement below`
`79`	`79`	`SELECT`
`80`		`- ROUND(SUM(order_date = customer_pref_delivery_date) /COUNT(1) * 100, 2) AS immediate_percentage`
	`80`	`+ ROUND(AVG(order_date = customer_pref_delivery_date) * 100, 2) AS immediate_percentage`
`81`	`81`	`FROM Delivery`
`82`	`82`	`WHERE`
`83`	`83`	`(customer_id, order_date) IN (`
`@@ -100,7 +100,7 @@ WITH`
`100`	`100`	`FROM Delivery`
`101`	`101`	`)`
`102`	`102`	`SELECT`
`103`		`- ROUND(SUM(order_date = customer_pref_delivery_date) /COUNT(1) * 100, 2) AS immediate_percentage`
	`103`	`+ ROUND(AVG(order_date = customer_pref_delivery_date) * 100, 2) AS immediate_percentage`
`104`	`104`	`FROM T`
`105`	`105`	`WHERE rk = 1;`
`106`	`106`	```

Lines changed: 1 addition & 1 deletion

Original file line number	Diff line number	Diff line change
`@@ -1,6 +1,6 @@`
`1`	`1`	`# Write your MySQL query statement below`
`2`	`2`	`SELECT`
`3`		`- ROUND(SUM(order_date = customer_pref_delivery_date) /COUNT(1) * 100, 2) AS immediate_percentage`
	`3`	`+ ROUND(AVG(order_date = customer_pref_delivery_date) * 100, 2) AS immediate_percentage`
`4`	`4`	`FROM Delivery`
`5`	`5`	`WHERE`
`6`	`6`	`(customer_id, order_date) IN (`

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