/usr/man2/cat.3/pcrematching.3.Z(/usr/man2/cat.3/pcrematching.3.Z)

NAME

       PCRE - Perl-compatible regular expressions

PCRE MATCHING ALGORITHMS

       This document describes the two different algorithms that are available
       in PCRE for matching a compiled regular expression against a given sub-
       ject  string.  The  "standard"  algorithm  is  the  one provided by the
       pcre_exec() function.  This works in the same was  as  Perl's  matching
       function, and provides a Perl-compatible matching operation.

       An  alternative  algorithm is provided by the pcre_dfa_exec() function;
       this operates in a different way, and is not  Perl-compatible.  It  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 DFA algorithm finds all three.

REGULAR EXPRESSIONS AS TREES

       The set of strings that are matched by a regular expression can be rep-
       resented  as  a  tree structure. An unlimited repetition in the pattern
       makes the tree of infinite size, but it is still a tree.  Matching  the
       pattern  to a given subject string (from a given starting point) can be
       thought of as a search of the tree.  There are  two  standard  ways  to
       search  a  tree: depth-first and breadth-first, and these correspond to
       the two matching algorithms provided by PCRE.

THE STANDARD MATCHING ALGORITHM

       In the terminology of Jeffrey Friedl's book Mastering  Regular  Expres-
       sions,  the  standard  algorithm  is  an "NFA algorithm". It conducts a
       depth-first search of the pattern tree. That is, it  proceeds  along  a
       single path through the tree, checking that the subject matches what is
       required. When there is a mismatch, the algorithm  tries  any  alterna-
       tives  at  the  current point, and if they all fail, it backs up to the
       previous branch point in the  tree,  and  tries  the  next  alternative
       branch  at  that  level.  This often involves backing up (moving to the
       left) in the subject string as well.  The  order  in  which  repetition
       branches  are  tried  is controlled by the greedy or ungreedy nature of
       the quantifier.

       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 possi-
       ble 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 rela-
       tively straightforward for this algorithm to keep  track  of  the  sub-
       strings  that  are  matched  by portions of the pattern in parentheses.
       This provides support for capturing parentheses and back references.

THE DFA MATCHING ALGORITHM

       DFA stands for "deterministic finite automaton", but you do not need to
       understand the origins of that name. This algorithm conducts a breadth-
       first search of the tree. Starting from the first matching point in the
       subject,  it scans the subject string from left to right, once, charac-
       ter by character, and as it does  this,  it  remembers  all  the  paths
       through the tree that represent valid matches.

       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 long-
       est. In PCRE, there is an option to stop the algorithm after the  first
       match (which is necessarily the shortest) has been 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 "cat", "cater", and "caterpillar" that start
       at the fourth character of the subject. The algorithm does not automat-
       ically move on to find matches that start at later positions.

       There are a number of features of PCRE regular expressions that are not
       supported by the DFA 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.

       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 sub-
       strings are available.

       3. Because no substrings are captured, back references within the  pat-
       tern are not supported, and cause errors if encountered.

       4.  For  the same reason, conditional expressions that use a backrefer-
       ence as the condition are not supported.

       5. 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.

       6.  The \C escape sequence, which (in the standard algorithm) matches a
       single byte, even in UTF-8 mode, is not supported because the DFA algo-
       rithm moves through the subject string one character at a time, for all
       active paths through the tree.

ADVANTAGES OF THE DFA ALGORITHM

       Using the DFA matching algorithm provides the following advantages:

       1. All possible matches (at a single point in the subject) are automat-
       ically  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.  There is much better support for partial matching. The restrictions
       on the content of the pattern that apply when using the standard  algo-
       rithm  for partial matching do not apply to the DFA algorithm. For non-
       anchored patterns, the starting position of a partial match  is  avail-
       able.

       3.  Because  the  DFA algorithm scans the subject string just once, and
       never needs to backtrack, it is possible  to  pass  very  long  subject
       strings  to  the matching function in several pieces, checking for par-
       tial matching each time.

DISADVANTAGES OF THE DFA ALGORITHM

       The DFA algorithm suffers from a number of disadvantages:

       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. The "atomic group" feature of PCRE regular expressions is supported,
       but  does not provide the advantage that it does for the standard algo-
       rithm.

Last updated: 28 February 2005
Copyright (c) 1997-2005 University of Cambridge.

                                                               PCREMATCHING(3)