Interesting. Suppose the data is randomly distributed over the 100 "buckets", you will have to save the data in 100 separate files (because you cannot keep all the data in memory) and then read each of these files and store the data in a hash, which you will have to save to disk again. Would that (once reading the big file, saving to 100 smaller files, reading each of these smaller files and saving to another 100 "hash"-files) be faster than going once through the big file and store the data in a database?

Would selecting and retrieving data not be slower if you have to deal with 100 smaller files?

CountZero

A program should be light and agile, its subroutines connected like a string of pearls. The spirit and intent of the program should be retained throughout. There should be neither too little or too much, neither needless loops nor useless variables, neither lack of structure nor overwhelming rigidity." - The Tao of Programming, 4.1 - Geoffrey James


In reply to Re^6: Working with large amount of data by CountZero
in thread Working with large amount of data by just1fix

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