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[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]Re: [tlug] rsync efficiency (was: The Mother of All (bash) Commands)
- Date: Wed, 2 Apr 2008 09:16:27 +0900
- From: "Josh Glover" <jmglov@example.com>
- Subject: Re: [tlug] rsync efficiency (was: The Mother of All (bash) Commands)
- References: <op.t756gdbtp3esx5@mail.gol.com> <200803171322.13584.daniel.ramaley@drake.edu> <20080317210112.T39931@isris.pair.com> <200803180822.19747.daniel.ramaley@drake.edu> <20080318155544.79e7efac.attila@kinali.ch> <20080322090456.GH5267@lucky.cynic.net> <20080331135150.aab7cce9.attila@kinali.ch> <d8fcc0800803311654i7e164418l37520bfba4d8b383@mail.gmail.com> <20080401100653.0d83629d.attila@kinali.ch>
On 01/04/2008, Attila Kinali <attila@example.com> wrote: > Yes, but would you call a sorting algorithm fast, if it would > perform good on random sorted data (O(n*log(n)), but take o(exp(n)) > if the data is reverse ordered? Yes, it might be a pathological > case, but if this pathological case is actually quite common, > then the algorithm as a big flaw. The point is not whether you would call the algorithm fast or slow, the point is knowing when to use it and when not to. For example, bubble sort is an excellent algorithm if I know my data sets are guaranteed to be small, since it is easy to implement compared to, say quicksort or mergesort. So if you know you have a pathological data set, choose a different algorithm, but don't say that the algorithm is worthless when it performs quite well on data sets that correspond to its design goals. Remember, before rsync, people would always use tar + scp (well, tar + uucp, I guess). Rsync was designed for the situation where you have relatively large files (i.e. not Maildir trees!) with relatively small changes; if you are in that situation, use rsync. If not, stick with some combination of tar / dump and scp / ssh / nc. -- Cheers, Josh
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