Off-by-one on range boundaries
Wrong move: Loop endpoints miss first/last candidate.
Usually fails on: Fails on minimal arrays and exact-boundary answers.
Fix: Re-derive loops from inclusive/exclusive ranges before coding.
Build confidence with an intuition-first walkthrough focused on core interview patterns fundamentals.
Table: ActorDirector
+-------------+---------+ | Column Name | Type | +-------------+---------+ | actor_id | int | | director_id | int | | timestamp | int | +-------------+---------+ timestamp is the primary key (column with unique values) for this table.
Write a solution to find all the pairs (actor_id, director_id) where the actor has cooperated with the director at least three times.
Return the result table in any order.
The result format is in the following example.
Example 1:
Input: ActorDirector table: +-------------+-------------+-------------+ | actor_id | director_id | timestamp | +-------------+-------------+-------------+ | 1 | 1 | 0 | | 1 | 1 | 1 | | 1 | 1 | 2 | | 1 | 2 | 3 | | 1 | 2 | 4 | | 2 | 1 | 5 | | 2 | 1 | 6 | +-------------+-------------+-------------+ Output: +-------------+-------------+ | actor_id | director_id | +-------------+-------------+ | 1 | 1 | +-------------+-------------+ Explanation: The only pair is (1, 1) where they cooperated exactly 3 times.
Problem summary: Table: ActorDirector +-------------+---------+ | Column Name | Type | +-------------+---------+ | actor_id | int | | director_id | int | | timestamp | int | +-------------+---------+ timestamp is the primary key (column with unique values) for this table. Write a solution to find all the pairs (actor_id, director_id) where the actor has cooperated with the director at least three times. Return the result table in any order. The result format is in the following example.
Start with the most direct exhaustive search. That gives a correctness anchor before optimizing.
Pattern signal: General problem-solving
{"headers":{"ActorDirector":["actor_id","director_id","timestamp"]},"rows":{"ActorDirector":[[1,1,0],[1,1,1],[1,1,2],[1,2,3],[1,2,4],[2,1,5],[2,1,6]]}}Source-backed implementations are provided below for direct study and interview prep.
// Accepted solution for LeetCode #1050: Actors and Directors Who Cooperated At Least Three Times
// Auto-generated Java example from rust.
class Solution {
public void exampleSolution() {
}
}
// Reference (rust):
// // Accepted solution for LeetCode #1050: Actors and Directors Who Cooperated At Least Three Times
// pub fn sql_example() -> &'static str {
// r#"
// -- Accepted solution for LeetCode #1050: Actors and Directors Who Cooperated At Least Three Times
// # Write your MySQL query statement below
// SELECT actor_id, director_id
// FROM ActorDirector
// GROUP BY 1, 2
// HAVING COUNT(1) >= 3;
// "#
// }
// Accepted solution for LeetCode #1050: Actors and Directors Who Cooperated At Least Three Times
// Auto-generated Go example from rust.
func exampleSolution() {
}
// Reference (rust):
// // Accepted solution for LeetCode #1050: Actors and Directors Who Cooperated At Least Three Times
// pub fn sql_example() -> &'static str {
// r#"
// -- Accepted solution for LeetCode #1050: Actors and Directors Who Cooperated At Least Three Times
// # Write your MySQL query statement below
// SELECT actor_id, director_id
// FROM ActorDirector
// GROUP BY 1, 2
// HAVING COUNT(1) >= 3;
// "#
// }
# Accepted solution for LeetCode #1050: Actors and Directors Who Cooperated At Least Three Times
# Auto-generated Python example from rust.
def example_solution() -> None:
return
# Reference (rust):
# // Accepted solution for LeetCode #1050: Actors and Directors Who Cooperated At Least Three Times
# pub fn sql_example() -> &'static str {
# r#"
# -- Accepted solution for LeetCode #1050: Actors and Directors Who Cooperated At Least Three Times
# # Write your MySQL query statement below
# SELECT actor_id, director_id
# FROM ActorDirector
# GROUP BY 1, 2
# HAVING COUNT(1) >= 3;
# "#
# }
// Accepted solution for LeetCode #1050: Actors and Directors Who Cooperated At Least Three Times
pub fn sql_example() -> &'static str {
r#"
-- Accepted solution for LeetCode #1050: Actors and Directors Who Cooperated At Least Three Times
# Write your MySQL query statement below
SELECT actor_id, director_id
FROM ActorDirector
GROUP BY 1, 2
HAVING COUNT(1) >= 3;
"#
}
// Accepted solution for LeetCode #1050: Actors and Directors Who Cooperated At Least Three Times
// Auto-generated TypeScript example from rust.
function exampleSolution(): void {
}
// Reference (rust):
// // Accepted solution for LeetCode #1050: Actors and Directors Who Cooperated At Least Three Times
// pub fn sql_example() -> &'static str {
// r#"
// -- Accepted solution for LeetCode #1050: Actors and Directors Who Cooperated At Least Three Times
// # Write your MySQL query statement below
// SELECT actor_id, director_id
// FROM ActorDirector
// GROUP BY 1, 2
// HAVING COUNT(1) >= 3;
// "#
// }
Use this to step through a reusable interview workflow for this problem.
Two nested loops check every pair or subarray. The outer loop fixes a starting point, the inner loop extends or searches. For n elements this gives up to n²/2 operations. No extra space, but the quadratic time is prohibitive for large inputs.
Most array problems have an O(n²) brute force (nested loops) and an O(n) optimal (single pass with clever state tracking). The key is identifying what information to maintain as you scan: a running max, a prefix sum, a hash map of seen values, or two pointers.
Review these before coding to avoid predictable interview regressions.
Wrong move: Loop endpoints miss first/last candidate.
Usually fails on: Fails on minimal arrays and exact-boundary answers.
Fix: Re-derive loops from inclusive/exclusive ranges before coding.