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Problem solution · Java

Design Video Sharing Platform

Design Video Sharing Platform: a Java solution using breadth-first search. Learn the idea, check the complexity, and read the full code, with credit to walkccc LeetCode Solutions.

Technique
Breadth-first search
Source
walkccc LeetCode Solutions
Length
60 lines
Start with the idea.

Try the problem first. If you get stuck, read the approach below, then write your own solution. The full code is at the bottom.

Approach

Breadth-first search

For Design Video Sharing Platform, the implementation explores reachable states in layers, which is the standard shape for unweighted shortest paths and minimum-step transitions.

  1. Model each valid configuration as a state and each legal move as an edge.
  2. Seed the queue with the starting state and mark it immediately.
  3. Expand each state once, recording distance or reachability for unseen neighbours.

Code notes

  • 60 lines of Java from the credited upstream file 2254.java.
  • The implementation visibly relies on sequence storage, hash lookup, ordered lookup, work queue.
  • No explicit loop blocks detected.

Complexity

Verify that each state and transition is processed only a bounded number of times; that determines the traversal cost.

Check the problem constraints before deciding whether this complexity will pass.

Source

Code and credit

This code comes from walkccc LeetCode Solutions by P.-Y. Chen (walkccc) and is used under the MIT licence.

Open problem ↗Original source ↗
Full codeDesign Video Sharing Platform · JavaJava
Use this to learn the idea, then write your own version.
class VideoSharingPlatform {  public int upload(String video) {    final int videoId = getVideoId();    videoIdToVideo.put(videoId, video);    return videoId;  }   public void remove(int videoId) {    if (videoIdToVideo.containsKey(videoId)) {      usedIds.offer(videoId);      videoIdToVideo.remove(videoId);      videoIdToViews.remove(videoId);      videoIdToLikes.remove(videoId);      videoIdToDislikes.remove(videoId);    }  }   public String watch(int videoId, int startMinute, int endMinute) {    if (!videoIdToVideo.containsKey(videoId))      return "-1";    videoIdToViews.merge(videoId, 1, Integer::sum);    final String video = videoIdToVideo.get(videoId);    return video.substring(startMinute, Math.min(endMinute + 1, video.length()));  }   public void like(int videoId) {    if (videoIdToVideo.containsKey(videoId))      videoIdToLikes.merge(videoId, 1, Integer::sum);  }   public void dislike(int videoId) {    if (videoIdToVideo.containsKey(videoId))      videoIdToDislikes.merge(videoId, 1, Integer::sum);  }   public int[] getLikesAndDislikes(int videoId) {    return videoIdToVideo.containsKey(videoId)        ? new int[] {videoIdToLikes.getOrDefault(videoId, 0),                     videoIdToDislikes.getOrDefault(videoId, 0)}        : new int[] {-1};  }   public int getViews(int videoId) {    return videoIdToVideo.containsKey(videoId) ? videoIdToViews.getOrDefault(videoId, 0) : -1;  }   private int currVideoId = 0;  private Queue<Integer> usedIds = new PriorityQueue<>();  private Map<Integer, String> videoIdToVideo = new HashMap<>();  private Map<Integer, Integer> videoIdToViews = new HashMap<>();  private Map<Integer, Integer> videoIdToLikes = new HashMap<>();  private Map<Integer, Integer> videoIdToDislikes = new HashMap<>();   private int getVideoId() {    if (usedIds.isEmpty())      return currVideoId++;    return usedIds.poll();  }}

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