On Wed, Dec 9, 2009 at 7:48 PM, Aditya Shankar <iitm.adityashan...@gmail.com
> wrote:

> Hi,
>
> On Wed, Dec 9, 2009 at 2:53 PM, Manisha <pgo...@gmail.com> wrote:
>
>> We have a server hit by millions of users. Sever log files contains
>> the user ids of all of them. How do we find the frequency of login of
>> each user. What will the most efficient way to store the users, and
>> access them to find their frequency(The log files are very huge!!)
>>
> oops...

> Can't we just use a hash table? It's O(1) access, addition and updation
> (and removal for that matter).
>
There will not be conflicts because the user IDs are presumably unique.
>
>>
>> I thought of using B+ tree indexing with user ids as the key. Leaf
>> nodes will have the pointers to bucket of user ids. One item of bucket
>> will contain user id and frequency of this user.
>>   For insertion, search complexity will be ~O(logn)
>>
>> Any potential problem with approach? Are there any better approach to
>> tackle this problem?
>>
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>

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