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Of course, if numbers of words and/or terms is very large, and performance is critical, and you are prepared to throw memory at the problem, there is another, yet faster way. (How much faster is difficult to express in terms that most of us would understand).

The basic principle is an old favorite of mine: don't search; index. In this case that means building a hash that contains every possible variation of each word in the wordlist. For 'fred', that means adding '_red', 'f_ed', 'fr_d' & 'fre_' as keys to the hash with 'fred' as the values. Then, each of the wildcarded terms can be looked up directly. The result:

C:\test>junk42 -P=0.02 Looking for 3651 terms amongst 178691 words s/iter a b + c a 167 -- -95% + -100% b 8.20 1931% -- + -100% c 1.00e-015 16662499999999995902% 820299999999997696% + --

Which makes the process 8 quadrillion times faster than the regex against a string; and (an unbelievable) 166 quadrillion times faster than the regex engine over an array.

If my math is right, that means it can do in 1 second; what the regex engine would take 5 billion years to do!

(And I've checked and checked, and it really does appear to be true?)

The benchmark:


With the rise and rise of 'Social' network sites: 'Computers are making people easier to use everyday'
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In reply to Re^6: matching the words (166 quadrillion times faster!!) by BrowserUk
in thread matching the words by venky4289

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