Suggest a good method with least lookup time complexity
I have a structure which has 3 identifier fields and one value field. I have a list of these objects. To give an analogy, the identifier fields are like the primary keys to the object. These 3 fields uniquely identify an object.
I would be having a list of say 1000 object of this datatype. I need to check for specific values of these identity key values by passing values of a1, a2 and a3 to a lookup function which would check if any object with those specific values of a1, a2 and a3 is present and returns that value. What is the most effective way to implement this to achieve a best lookup time?
One solution I could think of is to have a 3 dimensional matrix of length say 1000 and populate the value in it. This has a lookup time of O(1). But the disadvantages are. 1. I need to know the length of array. 2. For higher identity fields (say 20), then I will need a 20 dimension matrix which would be an overkill on the memory. For my actual implementation, I have 23 identity fields.
Can you suggest a good way to store this data which would give me the best look up time?
Re: Suggest a good method with least lookup time complexity
Use a hash table (sometimes called an associate array).
Originally Posted by amrish_deep
In C++ hash based containers will be introduced in the upcoming standard but most compilers already support them. Check out std::tr1::unordered_set.