SQL
  • Tips
  • SQL
    • Database Basics
    • SQL Basics
    • SQL Syntax
    • Retrieve Data: SELECT
    • Sort Data: ORDER BY
    • Filter Data: WHERE
    • Calculated Fields
    • Aggregate Functions
    • Group Data: GROUP BY
    • Subqueries
    • Join Tables
    • Combine Queries: UNION
    • Control Flow Statements
    • IF function
    • Handle NULL
    • Date
    • Numeric
    • String
    • Notes
  • Table/Database
    • Insert
    • Delete
    • Update
    • Table
    • Database
    • Stored Procedure
  • Misc
    • SQL vs NoSQL
    • 大数据
    • Why SQL instead of Excel + VBA?
  • sqlzoo
    • world table
    • nobel table
    • football data
    • movie data
    • Teacher Department Data
    • Edinburgh Buses data
  • Leetcode
    • 175_Combine Two Tables
    • 176_Second Highest Salary
    • 177_Nth Highest Salary
    • 178_Rank Scores
    • 180_Consecutive Numbers
    • 181_Employees Earning More Than Their Managers
    • 182_Duplicate Emails
    • 183_Customers Who Never Order
    • 184_Department Highest Salary
    • 185_Department Top Three Salaries
    • 196_Delete Duplicate Emails
    • 197_Rising Temperature
    • 570_Managers with at Least 5 Direct Reports
    • 578_Get Highest Answer Rate Question
    • 579_Find Cumulative Salary of an Employee
    • 584_Find Customer Referee
    • 586_Customer Placing the Largest Number of Orders
    • 595_Big Countries
    • 596_Classes More Than 5 Students
    • 597_Friend Requests I: Overall Acceptance Rate
    • 601_Human Traffic of Stadium
    • 602_Friend Requests II: Who Has the Most Friends
    • 603_Consecutive Available Seats
    • 607_Sales Person
    • 608_Tree Node
    • 610_Triangle Judgement
    • 612_Shortest Distance in a Plane
    • 613_Shortest Distance in a Line
    • 619_Biggest Single Number
    • 620_Not Boring Movies
    • 626_Exchange Seats
    • 627_Swap Salary
  • Facebook 面经题
    • spam filter
    • marketplace
    • instagram
    • session
    • message confirmation
Powered by GitBook
On this page
  • Solution:
  • Follow up:

Was this helpful?

  1. Leetcode

586_Customer Placing the Largest Number of Orders

[easy]

Query the customer_number from the orders table for the customer who has placed the largest number of orders. It is guaranteed that exactly one customer will have placed more orders than any other customer. The orders table is defined as follows:

| Column            | Type      |
|-------------------|-----------|
| order_number (PK) | int       |
| customer_number   | int       |
| order_date        | date      |
| required_date     | date      |
| shipped_date      | date      |
| status            | char(15)  |
| comment           | char(200) |

Sample Input

| order_number | customer_number | order_date | required_date | shipped_date | status | comment |
|--------------|-----------------|------------|---------------|--------------|--------|---------|
| 1            | 1               | 2017-04-09 | 2017-04-13    | 2017-04-12   | Closed |         |
| 2            | 2               | 2017-04-15 | 2017-04-20    | 2017-04-18   | Closed |         |
| 3            | 3               | 2017-04-16 | 2017-04-25    | 2017-04-20   | Closed |         |
| 4            | 3               | 2017-04-18 | 2017-04-28    | 2017-04-25   | Closed |         |

Sample Output

| customer_number |
|-----------------|
| 3               |

Solution:

SELECT customer_number
FROM orders
GROUP BY customer_number
ORDER BY COUNT(*) DESC
LIMIT 1;

Follow up:

What if more than one customer have the largest number of orders, can you find all the customer_number in this case?

SELECT customer_number
FROM orders
GROUP BY customer_number
HAVING COUNT(order_number) = 
    (
    SELECT COUNT(order_number)
    FROM orders
    GROUP BY customer_number
    ORDER BY COUNT(order_number) DESC
    LIMIT 1
    );
Previous584_Find Customer RefereeNext595_Big Countries

Last updated 5 years ago

Was this helpful?