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Problem 1: Product Data Management

Design a prototype data structure to efficiently manage the product data of an e-commerce website. Products are categorized by the product name, price, and manufacturing year, given as a 2D array of size n x 3, where products[i] represents the three parameters of a product: <name>, <price>, <year of manufacture>.

There are q queries in a 2D array of size q x 2 of the format <type> <param> of the following three types:

  1. Type 1: Find the names of the products manufactured in the given year.
  2. Type 2: Find the names of the products below the price in their original order in products.
  3. Type 3: Find the names of the products above the price in their original order in products.

Given products and queries, for each query, report an array of names of the corresponding products.

Note:

  • For consistency, all data is given as strings. Convert them to integers as necessary.

Example:

Suppose n = 5,
products = [["key", "50", "2013"], ["fan", "100", "2012"], ["lock", "150", "2013"], ["table", "200", "2011"], ["toy", "500", "2011"]]
q = 4 and
queries = [["Type1", "2013"], ["Type2", "500"], ["Type3", "500"], ["Type1", "2011"]]


Output:

QueryExplanationAnswer
Type1, "2013"Products manufactured in 2013["key", "lock"]
Type2, "500"Products below price 500["key", "fan", "lock", "table"]
Type3, "500"Products above price 500[]
Type1, "2011"Products manufactured in 2011["table", "toy"]


Problem 2: Compressing Array

Problem Statement:

Given an array of integers, a, in one operation, you can select any two adjacent elements and replace them with their product. This operation can only be applied if the product of those adjacent elements is less than or equal to k.

The goal is to reduce the length of the array as much as possible by performing any number of operations. Return that minimum size.


Example:

Let array a = [2, 3, 3, 7, 3, 5] and k = 20.

This is the list of operations that will give us the smallest array (1-based indexing):

  1. Merge the elements at indices (1, 2), resulting array will be [6, 3, 7, 3, 5]
  2. Merge the elements at indices (1, 2), resulting array will be [18, 7, 3, 5]
  3. Merge the elements at indices (3, 4), resulting array will be [18, 7, 15]

Hence, the answer is 3.


Function Description:

Complete the function getMinLength in the editor below.

Function Signature:

def getMinLength(a: List[int], k: int) -> int:

Parameters:

  • int a[n]: An array of integers
  • int k: The constraint of the operation

Returns:

  • int: The minimum length of the array after performing any number of operations.


Problem 3: SQL - Virtual Machine Deployment Report

Problem Statement:

While working on a new dashboard for a large cloud hosting company, an engineer needs a query that returns a list of CVM (Cloud Virtual Machine) configurations and their total number of deployments in 2021.

The result should have the following columns:

  • configuration: Configuration name
  • deployments: The total number of all deployments for a specific configuration

Notes:

  • Only deployments in 2021 should be included in the report.
  • The result should be sorted in descending order by deployments.

Schema:

Configurations Table:

ColumnTypeDescription
idVARCHAR(64)Unique ID, Primary Key
nameVARCHAR(255)Configuration name

Deployments Table:

ColumnTypeDescription
configuration_idVARCHAR(64)Foreign Key to configurations.id
dateDATEDeployment date

SQL Query:

To generate the desired report:

SELECT 
    c.name AS configuration,
    COUNT(d.configuration_id) AS deployments
FROM 
    configurations c
JOIN 
    deployments d
ON 
    c.id = d.configuration_id
WHERE 
    YEAR(d.date) = 2021
GROUP BY 
    c.name
ORDER BY 
    deployments DESC;

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