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In a hash table, what happens when the load factor exceeds a certain threshold?

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Question: In a hash table, what happens when the load factor exceeds a certain threshold?

Options:

  1. The table is resized and rehashed
  2. The table becomes immutable
  3. All entries are deleted
  4. The hash function is changed

Correct Answer: The table is resized and rehashed

Solution: 

When the load factor exceeds a certain threshold, the hash table is typically resized and all existing entries are rehashed to maintain efficient access times.

In a hash table, what happens when the load factor exceeds a certain threshold?

Practice Questions

Q1
In a hash table, what happens when the load factor exceeds a certain threshold?
  1. The table is resized and rehashed
  2. The table becomes immutable
  3. All entries are deleted
  4. The hash function is changed

Questions & Step-by-Step Solutions

In a hash table, what happens when the load factor exceeds a certain threshold?
  • Step 1: Understand what a hash table is. It is a data structure that stores key-value pairs for fast access.
  • Step 2: Know what the load factor is. It is a measure of how full the hash table is, calculated as the number of entries divided by the total number of slots.
  • Step 3: Identify the threshold. This is a specific load factor value that, when exceeded, indicates the hash table is getting too full.
  • Step 4: When the load factor exceeds the threshold, the hash table needs to be resized. This means creating a new, larger array to hold the entries.
  • Step 5: Rehash all existing entries. This involves recalculating the position of each key-value pair in the new array based on the new size.
  • Step 6: Update the hash table to use the new array and the rehashed entries, ensuring efficient access times.
  • Load Factor – The load factor is a measure of how full a hash table is, calculated as the number of entries divided by the number of buckets.
  • Resizing – Resizing involves creating a new, larger hash table and rehashing existing entries to maintain performance.
  • Rehashing – Rehashing is the process of recalculating the hash values for existing entries when the hash table is resized.
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