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Storage by Hashing

Travis Roe Topics of Computer Science Chapter 43 2-5-2006 . Storage by Hashing. Outline. A Problem A Solution: Hashing Questions Q & A. A Problem. Company organizing data using social security numbers, or similar.

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Storage by Hashing

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  1. Travis Roe Topics of Computer Science Chapter 43 2-5-2006 Storage by Hashing

  2. Outline • A Problem • A Solution: Hashing • Questions • Q & A

  3. A Problem • Company organizing data using social security numbers, or similar. • Need to add and search through collections of identifiers to find objects.

  4. Potential Solution: 1-1 • One index per potential location • Adding: O(1) • Searching: O(1) • Pros: Very fast, very easy to implement • Cons: Far too much memory, much of it unused

  5. Potential Solution: Unsorted Array • Adding. O(1) • Searching. O(n) • Pros: Easy to implement, fast adding. • Cons: Everything else. O(n) ridiculously slow.

  6. Potential Solution: Sorted Array • Adding. O(n) • Searching. O(lg n) • Pros: Fast searching. • Cons: Slow adding.

  7. Potential Solution: Balanced BST • Adding. O(lg n) • Searching. O(lg n) • Pros: Fast speed for adding, searching. • Cons: Hard to program. Not O(1).

  8. A New Solution: Hashing • Adding. • Use the keys to choose an index. • Place the object at the index. • O(1) • Searching. • Use the keys to find the index. • Get the object from that index. • O(1)‏

  9. Hashing: An Example 154-38-1287 1287 • Social Security Numbers are the key • The hash-key is based off the last 4 digits of the number ... 987-65-4321 4321 ... 123-45-6789 6789 ... 192-83-7465 7465

  10. Collisions • Expected problems: • Two objects with the same key • Two keys, after hashing, with same value. • Ways to solve the problems: • Chaining • Probing

  11. Collision Handling: Chaining • Every node is a list of some sort. • Whenever there is a collision, put the new item into the list.

  12. Collision Handling: Probing • Whenever there is a collision, go to another location some distance away and attempt to fill that location. • Can cause grouping. • h(k) + a * x; a = 2 123-45-6789 543-21-6789

  13. Reducing Collisions • Use prime numbers for array sizes • Take more space than you'll need • Choose a better hash function

  14. References • Dewdney, A.K. “Storage By Hashing”. The New Turing Omnibus. 1993. Computer Science Press. • “Hash Tables”. Recording My Programming Path. http://qiang-ma.blogspot.com/2007/10/hash-tables.html <Accessed last 2-5-2008> • Standish, Thomas. Data Structures, Algorithms & Software Principles in C. 1995. Addison-Wesley Publishing Company, Inc. pp450-475(ish)‏

  15. Questions • What are the two methods for handling collisions that were discussed in this lecture? • What is one situation where hash-tables are not useful in?

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