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Database

3214. Year on Year Growth Rate 🔒

中文文档

Description

Table: user_transactions

+------------------+----------+
| Column Name      | Type     | 
+------------------+----------+
| transaction_id   | integer  |
| product_id       | integer  |
| spend            | decimal  |
| transaction_date | datetime |
+------------------+----------+
The transaction_id column uniquely identifies each row in this table.
Each row of this table contains the transaction ID, product ID, the spend amount, and the transaction date.

Write a solution to calculate the year-on-year growth rate for the total spend for each product.

The result table should include the following columns:

  • year: The year of the transaction.
  • product_id: The ID of the product.
  • curr_year_spend: The total spend for the current year.
  • prev_year_spend: The total spend for the previous year.
  • yoy_rate: The year-on-year growth rate percentage, rounded to 2 decimal places.

Return the result table ordered by product_id,year in ascending order.

The result format is in the following example.

 

Example:

Input:

user_transactions table:

+----------------+------------+---------+---------------------+
| transaction_id | product_id | spend   | transaction_date    |
+----------------+------------+---------+---------------------+
| 1341           | 123424     | 1500.60 | 2019-12-31 12:00:00 |
| 1423           | 123424     | 1000.20 | 2020-12-31 12:00:00 |
| 1623           | 123424     | 1246.44 | 2021-12-31 12:00:00 |
| 1322           | 123424     | 2145.32 | 2022-12-31 12:00:00 |
+----------------+------------+---------+---------------------+

Output:

+------+------------+----------------+----------------+----------+
| year | product_id | curr_year_spend| prev_year_spend| yoy_rate |
+------+------------+----------------+----------------+----------+
| 2019 | 123424     | 1500.60        | NULL           | NULL     |
| 2020 | 123424     | 1000.20        | 1500.60        | -33.35   |
| 2021 | 123424     | 1246.44        | 1000.20        | 24.62    |
| 2022 | 123424     | 2145.32        | 1246.44        | 72.12    |
+------+------------+----------------+----------------+----------+

Explanation:

  • For product ID 123424:
    • In 2019:
      • Current year's spend is 1500.60
      • No previous year's spend recorded
      • YoY growth rate: NULL
    • In 2020:
      • Current year's spend is 1000.20
      • Previous year's spend is 1500.60
      • YoY growth rate: ((1000.20 - 1500.60) / 1500.60) * 100 = -33.35%
    • In 2021:
      • Current year's spend is 1246.44
      • Previous year's spend is 1000.20
      • YoY growth rate: ((1246.44 - 1000.20) / 1000.20) * 100 = 24.62%
    • In 2022:
      • Current year's spend is 2145.32
      • Previous year's spend is 1246.44
      • YoY growth rate: ((2145.32 - 1246.44) / 1246.44) * 100 = 72.12%

Note: Output table is ordered by product_id and year in ascending order.

Solutions

Solution 1: Grouping Statistics + Left Join

We can first group by product_id and year(transaction_date) to perform the statistics, then use a left join to associate the statistics of the current year with those of the previous year, and finally calculate the year-on-year growth rate.

MySQL

# Write your MySQL query statement below
WITH
    T AS (
        SELECT product_id, YEAR(transaction_date) year, SUM(spend) curr_year_spend
        FROM user_transactions
        GROUP BY 1, 2
    ),
    S AS (
        SELECT t1.year, t1.product_id, t1.curr_year_spend, t2.curr_year_spend prev_year_spend
        FROM
            T t1
            LEFT JOIN T t2 ON t1.product_id = t2.product_id AND t1.year = t2.year + 1
    )
SELECT
    *,
    ROUND((curr_year_spend - prev_year_spend) / prev_year_spend * 100, 2) yoy_rate
FROM S
ORDER BY 2, 1;