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Leetcode #2020: Number of Accounts That Did Not Stream

In this guide, we solve Leetcode #2020 Number of Accounts That Did Not Stream in Python and focus on the core idea that makes the solution efficient.

You will see the intuition, the step-by-step method, and a clean Python implementation you can use in interviews.

Leetcode

Problem Statement

Table: Subscriptions +-------------+------+ | Column Name | Type | +-------------+------+ | account_id | int | | start_date | date | | end_date | date | +-------------+------+ account_id is the primary key column for this table. Each row of this table indicates the start and end dates of an account's subscription.

Quick Facts

  • Difficulty: Medium
  • Premium: Yes
  • Tags: Database

Intuition

The task is relational in nature, which maps cleanly to DataFrame operations in Python.

By treating tables as DataFrames, joins and group-bys become concise and readable.

Approach

Load the inputs as DataFrames and apply the appropriate merge, filter, or group-by.

Select or rename the columns to match the required output.

Steps:

  • Load inputs as DataFrames.
  • Apply merge/groupby/filter operations.
  • Select the output columns.

Example

+-------------+------+ | Column Name | Type | +-------------+------+ | account_id | int | | start_date | date | | end_date | date | +-------------+------+ account_id is the primary key column for this table. Each row of this table indicates the start and end dates of an account's subscription. Note that always start_date < end_date.

Python Solution

import duckdb import pandas as pd def solution(subscriptions: pd.DataFrame, streams: pd.DataFrame) -> pd.DataFrame: con = duckdb.connect() con.register("Subscriptions", subscriptions) con.register("Streams", streams) return con.execute("""SELECT COUNT(sub.account_id) AS accounts_count FROM Subscriptions AS sub LEFT JOIN Streams USING (account_id) WHERE YEAR(start_date) <= 2021 AND YEAR(end_date) >= 2021 AND (YEAR(stream_date) != 2021 OR stream_date > end_date);""").df()

Complexity

The time complexity is O(n log n) (typical). The space complexity is O(n).

Edge Cases and Pitfalls

Watch for boundary values, empty inputs, and duplicate values where applicable. If the problem involves ordering or constraints, confirm the invariant is preserved at every step.

Summary

This Python solution focuses on the essential structure of the problem and keeps the implementation interview-friendly while meeting the constraints.


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