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AVL Tree or HashTable for storing relatively big data?

I have been looking to implement a data structure for my project. I came across AVL tree and Hash Table. As I am a beginner so I'm in dilemma what data structure I use for large data. The main operation will be mostly searching through the database efficiently.

AVL Tree seems to be very good option to store around 120000 entries(object) of data and keep the search time to O(logn), however I stumble upon a perfect hashing concept. It states it expected the search time is constant O(1), if collision occur then it would use secondary hash function that will still have access time of O(1) if I'm not mistaken.

perfect hashing function according to Introduction to Algorithm by Thomas H Cormen, Charles E Leiserson, Ronald L Rivest, Clifford Stien is :- h(k) = ((3k + 42) mod 101) mod size(number of enteries)

Data that I'm storing is from text file, converting each line into an object. All those objects will be inserted all at once in data structure. After that main operation I have to use is search through the data structure.

Bus -> street1 -street2- street3- destination, this line would be converted into an object. So search would be like return the route bus1 took to reach destination5.

Any suggestions which one would be more reliable and efficient if data grows withfor time and space complexity?

AVL Tree or HashTable?

I have been looking to implement a data structure for my project. I came across AVL tree and Hash Table. As I am a beginner so I'm in dilemma what data structure I use for large data. The main operation will be mostly searching through the database efficiently.

AVL Tree seems to be very good option to store around 120000 entries(object) of data and keep the search time to O(logn), however I stumble upon a perfect hashing concept. It states it expected the search time is constant O(1), if collision occur then it would use secondary hash function that will still have access time of O(1) if I'm not mistaken.

perfect hashing function according to Introduction to Algorithm by Thomas H Cormen, Charles E Leiserson, Ronald L Rivest, Clifford Stien is :- h(k) = ((3k + 42) mod 101) mod size(number of enteries)

Any suggestions which one would be more reliable and efficient if data grows with time?

AVL Tree or HashTable for storing relatively big data?

I have been looking to implement a data structure for my project. I came across AVL tree and Hash Table. As I am a beginner so I'm in dilemma what data structure I use for large data. The main operation will be mostly searching through the database efficiently.

AVL Tree seems to be very good option to store around 120000 entries(object) of data and keep the search time to O(logn), however I stumble upon a perfect hashing concept. It states it expected the search time is constant O(1), if collision occur then it would use secondary hash function that will still have access time of O(1) if I'm not mistaken.

perfect hashing function according to Introduction to Algorithm by Thomas H Cormen, Charles E Leiserson, Ronald L Rivest, Clifford Stien is :- h(k) = ((3k + 42) mod 101) mod size(number of enteries)

Data that I'm storing is from text file, converting each line into an object. All those objects will be inserted all at once in data structure. After that main operation I have to use is search through the data structure.

Bus -> street1 -street2- street3- destination, this line would be converted into an object. So search would be like return the route bus1 took to reach destination5.

Any suggestions which one would be more reliable and efficient for time and space complexity?

1
source | link

AVL Tree or HashTable?

I have been looking to implement a data structure for my project. I came across AVL tree and Hash Table. As I am a beginner so I'm in dilemma what data structure I use for large data. The main operation will be mostly searching through the database efficiently.

AVL Tree seems to be very good option to store around 120000 entries(object) of data and keep the search time to O(logn), however I stumble upon a perfect hashing concept. It states it expected the search time is constant O(1), if collision occur then it would use secondary hash function that will still have access time of O(1) if I'm not mistaken.

perfect hashing function according to Introduction to Algorithm by Thomas H Cormen, Charles E Leiserson, Ronald L Rivest, Clifford Stien is :- h(k) = ((3k + 42) mod 101) mod size(number of enteries)

Any suggestions which one would be more reliable and efficient if data grows with time?