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Previously, we failed to recognize Unicode characters above U+7FF as
being members of locale-dependent character classes such as [[:alpha:]].
(Actually, the same problem occurs for large pg_wchar values in any
multibyte encoding, but UTF8 is the only case people have actually
complained about.) It's impractical to get Spencer's original code to
handle character classes or ranges containing many thousands of characters,
because it insists on considering each member character individually at
regex compile time, whether or not the character will ever be of interest
at run time. To fix, choose a cutoff point MAX_SIMPLE_CHR below which
we process characters individually as before, and deal with entire ranges
or classes as single entities above that. We can actually make things
cheaper than before for chars below the cutoff, because the color map can
now be a simple linear array for those chars, rather than the multilevel
tree structure Spencer designed. It's more expensive than before for
chars above the cutoff, because we must do a binary search in a list of
high chars and char ranges used in the regex pattern, plus call iswalpha()
and friends for each locale-dependent character class used in the pattern.
However, multibyte encodings are normally designed to give smaller codes
to popular characters, so that we can expect that the slow path will be
taken relatively infrequently. In any case, the speed penalty appears
minor except when we have to apply iswalpha() etc. to high character codes
at runtime --- and the previous coding gave wrong answers for those cases,
so whether it was faster is moot.
Tom Lane, reviewed by Heikki Linnakangas
Discussion: <15563.1471913698@sss.pgh.pa.us>
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Backpatch certain files through 9.1
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A lookbehind constraint is like a lookahead constraint in that it consumes
no text; but it checks for existence (or nonexistence) of a match *ending*
at the current point in the string, rather than one *starting* at the
current point. This is a long-requested feature since it exists in many
other regex libraries, but Henry Spencer had never got around to
implementing it in the code we use.
Just making it work is actually pretty trivial; but naive copying of the
logic for lookahead constraints leads to code that often spends O(N^2) time
to scan an N-character string, because we have to run the match engine
from string start to the current probe point each time the constraint is
checked. In typical use-cases a lookbehind constraint will be written at
the start of the regex and hence will need to be checked at every character
--- so O(N^2) work overall. To fix that, I introduced a third copy of the
core DFA matching loop, paralleling the existing longest() and shortest()
loops. This version, matchuntil(), can suspend and resume matching given
a couple of pointers' worth of storage space. So we need only run it
across the string once, stopping at each interesting probe point and then
resuming to advance to the next one.
I also put in an optimization that simplifies one-character lookahead and
lookbehind constraints, such as "(?=x)" or "(?<!\w)", into AHEAD and BEHIND
constraints, which already existed in the engine. This avoids the overhead
of the LACON machinery entirely for these rather common cases.
The net result is that lookbehind constraints run a factor of three or so
slower than Perl's for multi-character constraints, but faster than Perl's
for one-character constraints ... and they work fine for variable-length
constraints, which Perl gives up on entirely. So that's not bad from a
competitive perspective, and there's room for further optimization if
anyone cares. (In reality, raw scan rate across a large input string is
probably not that big a deal for Postgres usage anyway; so I'm happy if
it's linear.)
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Backpatch certain files through 9.0
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Update all files in head, and files COPYRIGHT and legal.sgml in all back
branches.
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This works by extracting trigrams from the given regular expression,
in generally the same spirit as the previously-existing support for
LIKE searches, though of course the details are far more complicated.
Currently, only GIN indexes are supported. We might be able to make
it work with GiST indexes later.
The implementation includes adding API functions to backend/regex/
to provide a view of the search NFA created from a regular expression.
These functions are meant to be generic enough to be supportable in
a standalone version of the regex library, should that ever happen.
Alexander Korotkov, reviewed by Heikki Linnakangas and Tom Lane
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