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More on Hash Tables. Andy Wang Data Structures, Algorithms, and Generic Programming. Why Hash Tables?. Arguments Linear search is simple Hash table does not save that much time Counter arguments What if the data volume is high? (internet routers)

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More on Hash Tables


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    1. More on Hash Tables Andy Wang Data Structures, Algorithms, and Generic Programming

    2. Why Hash Tables? • Arguments • Linear search is simple • Hash table does not save that much time • Counter arguments • What if the data volume is high? (internet routers) • What if the data set if large? (yellow page)

    3. Steps to Build a Hash Table 1. Build a table to support basic operations • Insert • Lookup • Remove 2. Use a hash function to determine the table entry 3. Add mechanisms to handle collisions

    4. Hash(name) Insert() Hash Table

    5. Hash(name) Insert() Hash Table

    6. Hash(name) Insert() Icarumba! Hash Table

    7. Hash(name) Linear Probing Hash Table

    8. Hash(name) Linear Probing Hash Table

    9. Remove() Hash Table

    10. Hash(name) Remove() Hash Table

    11. Hash(name) Remove() Hash Table

    12. Lookup() Hash Table

    13. Hash(name) Lookup() Hash Table

    14. Hash(name) Insert() Hash Table

    15. Hash(name) Tricky Case… Oops… Hash Table

    16. To Handle Tricky Cases Insert(…) { if (Lookup(…) == false) { // insert } } Remove(…) { if (entry[hash] empty || entry[hash] != key) // linear search for the entry } }

    17. To Handle Tricky Cases Lookup(…) { if (entry[hash] empty || entry[hash] != key) // linear search for the entry } }

    18. How can we make it more efficient?