Title: The core of the core of the big data solutions -- Map
Platform: Windows, linux
Technology: Perfect hash algorithm
Description: Map algorithm with high performance
Section MFC c++ map stl
SubSection c++ algorithm
Download demo project - 1070 Kb
Download source - 1070 Kb
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.
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
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:
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