Need help to write API similar to getfirst using sparsehash

[Meera]

Hello all,

Please let me know if there is a way to find the smallest and biggest
keys of all the keys in the google hashmap with out iterating through
it myself. I would like to add API which retrieves the value
corresponding to the smallest key. Kindly let me know whether this is
feasible in google hash implementation.

Regards,

Meera

[Craig Silverstein]

} Please let me know if there is a way to find the smallest and
} biggest keys of all the keys in the google hashmap with out
} iterating through it myself.

No, there's not. If you want that info you can either keep track of
it yourself, or use an ordered map such as <map>.

} I would like to add API which retrieves the value corresponding to
} the smallest key. Kindly let me know whether this is feasible in
} google hash implementation.

hash_map's, by design, do not keep track of that kind of
information -- trading off faster running time for the inability to do
ordering. So we wouldn't take this as a patch (though of course
you're welcome to make such a patch to your local version if you
like!)

craig

[Meera]

Hello Craig,

Thank you so much for the help. I appreciate your immediate response.

Regards,

Meera

[Wenwei Peng]

Title:       The core of the core of the big data solutions -- Map
Author:      pengwenwei
Email:       
Language:    c++
Platform:    Windows, linux
Technology:  Perfect hash algorithm
Level:       Advanced
Description: Map algorithm with high performance
Section      MFC c++ map stl
SubSection   c++ algorithm
License:     (GPLv3)

    Download demo project - 1070 Kb
    Download source - 1070 Kb

Introduction:
For the c++ program, map is used everywhere.And bottleneck of program performance is often the performance of map.Especially in the case of large data,and the business association closely and unable to realize the data distribution and parallel processing condition.So the performance of map becomes the key technology.

In the work experience with telecommunications industry and the information security industry, I was dealing with the big bottom data,especially the most complex information security industry data,all can’t do without map.

For example, IP table, MAC table, telephone number list, domain name resolution table, ID number table query, the Trojan horse virus characteristic code of cloud killing etc..

The map of STL library using binary chop, its has the worst performance.Google Hash map has the optimal performance and memory at present, but it has repeated collision probability.Now the big data rarely use a collision probability map,especially relating to fees, can’t be wrong.

Now I put my algorithms out here,there are three kinds of map,after the build is Hash map.We can test the comparison,my algorithm has the zero probability of collision,but its performance is also better than the hash algorithm, even its ordinary performance has no much difference with Google.

My algorithm is perfect hash algorithm,its key index and the principle of compression algorithm is out of the ordinary,the most important is a completely different structure,so the key index compression  is fundamentally different.The most direct benefit for program is that for the original map need ten servers for solutions but now I only need one server.
Declare: the code can not be used for commercial purposes, if for commercial applications,you can contact me with QQ 75293192.
Download:
https://sourceforge.net/projects/pwwhashmap/files

Applications:
First,modern warfare can’t be without the mass of information query, if the query of enemy target information slows down a second, it could lead to the delaying fighter, leading to failure of the entire war. Information retrieval is inseparable from the map, if military products use pwwhashMap instead of the traditional map,you must be the winner.

Scond,the performance of the router determines the surfing speed, just replace open source router code map for pwwHashMap, its speed can increase ten times.
There are many tables to query and set in the router DHCP ptotocol,such as IP,Mac ,and all these are completed by map.But until now,all map are  using STL liabrary,its performance is very low,and using the Hash map has error probability,so it can only use multi router packet dispersion treatment.If using pwwHashMap, you can save at least ten sets of equipment.

Third,Hadoop is recognized as the big data solutions at present,and its most fundamental thing is super heavy use of the map,instead of SQL and table.Hadoop assumes the huge amounts of data so that the data is completely unable to move, people must carry on the data analysis in the local.But as long as the open source Hadoop code of the map changes into pwwHashMap, the performance will increase hundredfold without any problems.


Background to this article that may be useful such as an introduction to the basic ideas presented:
http://blog.csdn.net/chixinmuzi/article/details/1727195



在 2010年3月1日星期一 UTC+8下午2:13:32，Meera写道：