I know, variations of this question had been asked before. But my case may be a little different :-) So, I am building a site that tracks events. Each event has id and value. 开发者_高级运维It is als
I\'ve got a task, where I\'ve got to go through several billion string lines and check, whether each of those is unique. All the lines themselves cannot be accommodated within the RAM memory of the PC
The arules pa开发者_Go百科ckage in R uses the class \'transactions\'. So in order to use the function apriori() I need to convert my existing data. I\'ve got a Matrix with 2 columns and roughly 1.6mm
I have a large file (100 million lines of tab separated values - about 1.5GB in size). What is the fastest开发者_StackOverflow中文版 known way to sort this based on one of the fields?
There are many questions and answers and opinions about how to do low level Java optimization, with for, while, and do-while loops, and whether it\'s even necessary.
We are trying to move from mysql to mongodb. mysql structure is id_src int id_dest int unique key : id_src,id_dest
I have used PyroCMS for some projects, I love it so much. I am current developing another website based on it. In my website, I need to work on a big database, it is not really big but big enough to r
I have a 3D floating-point matrix, in worst-case scenario the size could be (200000x1000000x100), I want to visualize this matrix using Qt/OpenGL.
I\'m using a MySql table with the following simple structure : ID_A : int 8 ID_B : int 8 Primary key : ID_A, ID_B
I\'m looking at this chart... http://www.mongodb.org/display/DOCS/MongoDB,+CouchDB,+MySQL+Compare+Grid
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