Problem solution · Java

Design Task Manager

Design Task Manager: a Java solution using hash-based lookup. Learn the idea, check the complexity, and read the full code, with credit to walkccc LeetCode Solutions.

Technique
Hash-based lookup
Source
walkccc LeetCode Solutions
Length
62 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

Hash-based lookup

For Design Task Manager, the implementation stores previously seen values or frequencies in a hash table for direct membership and lookup operations.

  1. Decide the key that represents the information needed later.
  2. Update its count or stored state while scanning the input.
  3. Use constant-time expected lookups to detect matches or assemble the result.

Code notes

  • 62 lines of Java from the credited upstream file 3408.java.
  • The implementation visibly relies on sequence storage, hash lookup, ordered lookup.
  • 1 loop block detected.

Complexity

Expected hash operations are constant time, but the surrounding scan and the number of stored keys determine total work and memory.

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.

Full codeDesign Task Manager · JavaJava
Use this to learn the idea, then write your own version.
class Task implements Comparable<Task> {  public int userId;  public int taskId;  public int priority;   public Task() {}   public Task(int userId, int taskId, int priority) {    this.userId = userId;    this.taskId = taskId;    this.priority = priority;  }   @Override  public int compareTo(Task other) {    return this.priority == other.priority ? Integer.compare(other.taskId, this.taskId)                                           : Integer.compare(other.priority, this.priority);  }} class TaskManager {   public TaskManager(List<List<Integer>> tasks) {    taskMap = new HashMap<>();    taskSet = new TreeSet<>();    for (List<Integer> task : tasks)      add(task.get(0), task.get(1), task.get(2));  }   public void add(int userId, int taskId, int priority) {    Task task = new Task(userId, taskId, priority);    taskMap.put(taskId, task);    taskSet.add(task);  }   public void edit(int taskId, int newPriority) {    Task task = taskMap.get(taskId);    taskSet.remove(task);    Task editedTask = new Task(task.userId, taskId, newPriority);    taskSet.add(editedTask);    taskMap.put(taskId, editedTask);  }   public void rmv(int taskId) {    Task task = taskMap.get(taskId);    taskSet.remove(task);    taskMap.remove(taskId);  }   public int execTop() {    if (taskSet.isEmpty())      return -1;    Task task = taskSet.iterator().next();    taskSet.remove(task);    taskMap.remove(task.taskId);    return task.userId;  }   private Map<Integer, Task> taskMap = new HashMap<>(); // {taskId: Task}  private Set<Task> taskSet; // Stores tasks sorted by priority and taskId.} 

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