pcrejit
documentation is compatible with these functions.
An alternative algorithm is provided by the pcre_dfa_exec(), pcre16_dfa_exec() and pcre32_dfa_exec() functions; they operate in a different way, and are not Perl-compatible. This alternative has advantages and disadvantages compared with the standard algorithm, and these are described below.
When there is only one possible way in which a given subject string can match a pattern, the two algorithms give the same answer. A difference arises, however, when there are multiple possibilities. For example, if the pattern ^<.*> is matched against the string <something> <something else> <something further> there are three possible answers. The standard algorithm finds only one of them, whereas the alternative algorithm finds all three. . .
If a leaf node is reached, a matching string has been found, and at that point the algorithm stops. Thus, if there is more than one possible match, this algorithm returns the first one that it finds. Whether this is the shortest, the longest, or some intermediate length depends on the way the greedy and ungreedy repetition quantifiers are specified in the pattern.
Because it ends up with a single path through the tree, it is relatively straightforward for this algorithm to keep track of the substrings that are matched by portions of the pattern in parentheses. This provides support for capturing parentheses and back references. . .
Although the general principle of this matching algorithm is that it scans the subject string only once, without backtracking, there is one exception: when a lookaround assertion is encountered, the characters following or preceding the current point have to be independently inspected.
The scan continues until either the end of the subject is reached, or there are no more unterminated paths. At this point, terminated paths represent the different matching possibilities (if there are none, the match has failed). Thus, if there is more than one possible match, this algorithm finds all of them, and in particular, it finds the longest. The matches are returned in decreasing order of length. There is an option to stop the algorithm after the first match (which is necessarily the shortest) is found.
Note that all the matches that are found start at the same point in the subject. If the pattern cat(er(pillar)?)? is matched against the string "the caterpillar catchment", the result will be the three strings "caterpillar", "cater", and "cat" that start at the fifth character of the subject. The algorithm does not automatically move on to find matches that start at later positions.
PCRE's "auto-possessification" optimization usually applies to character repeats at the end of a pattern (as well as internally). For example, the pattern "a\ed+" is compiled as if it were "a\ed++" because there is no point even considering the possibility of backtracking into the repeated digits. For DFA matching, this means that only one possible match is found. If you really do want multiple matches in such cases, either use an ungreedy repeat ("a\ed+?") or set the PCRE_NO_AUTO_POSSESS option when compiling.
There are a number of features of PCRE regular expressions that are not supported by the alternative matching algorithm. They are as follows:
1. Because the algorithm finds all possible matches, the greedy or ungreedy nature of repetition quantifiers is not relevant. Greedy and ungreedy quantifiers are treated in exactly the same way. However, possessive quantifiers can make a difference when what follows could also match what is quantified, for example in a pattern like this: ^a++\ew! This pattern matches "aaab!" but not "aaa!", which would be matched by a non-possessive quantifier. Similarly, if an atomic group is present, it is matched as if it were a standalone pattern at the current point, and the longest match is then "locked in" for the rest of the overall pattern.
2. When dealing with multiple paths through the tree simultaneously, it is not straightforward to keep track of captured substrings for the different matching possibilities, and PCRE's implementation of this algorithm does not attempt to do this. This means that no captured substrings are available.
3. Because no substrings are captured, back references within the pattern are not supported, and cause errors if encountered.
4. For the same reason, conditional expressions that use a backreference as the condition or test for a specific group recursion are not supported.
5. Because many paths through the tree may be active, the \eK escape sequence, which resets the start of the match when encountered (but may be on some paths and not on others), is not supported. It causes an error if encountered.
6. Callouts are supported, but the value of the capture_top field is always 1, and the value of the capture_last field is always -1.
7. The \eC escape sequence, which (in the standard algorithm) always matches a single data unit, even in UTF-8, UTF-16 or UTF-32 modes, is not supported in these modes, because the alternative algorithm moves through the subject string one character (not data unit) at a time, for all active paths through the tree.
8. Except for (*FAIL), the backtracking control verbs such as (*PRUNE) are not supported. (*FAIL) is supported, and behaves like a failing negative assertion. . .
1. All possible matches (at a single point in the subject) are automatically found, and in particular, the longest match is found. To find more than one match using the standard algorithm, you have to do kludgy things with callouts.
2. Because the alternative algorithm scans the subject string just once, and
never needs to backtrack (except for lookbehinds), it is possible to pass very
long subject strings to the matching function in several pieces, checking for
partial matching each time. Although it is possible to do multi-segment
matching using the standard algorithm by retaining partially matched
substrings, it is more complicated. The
HREF
pcrepartial
documentation gives details of partial matching and discusses multi-segment
matching.
.
.
1. It is substantially slower than the standard algorithm. This is partly because it has to search for all possible matches, but is also because it is less susceptible to optimization.
2. Capturing parentheses and back references are not supported.
3. Although atomic groups are supported, their use does not provide the performance advantage that it does for the standard algorithm. . .
Philip Hazel University Computing Service Cambridge CB2 3QH, England.. .
Last updated: 12 November 2013 Copyright (c) 1997-2012 University of Cambridge.
