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1 <html>
2 <head>
3 <title>pcrematching specification</title>
4 </head>
5 <body bgcolor="#FFFFFF" text="#00005A" link="#0066FF" alink="#3399FF" vlink="#2222BB">
6 <h1>pcrematching man page</h1>
7 <p>
8 Return to the <a href="index.html">PCRE index page</a>.
9 </p>
10 <p>
11 This page is part of the PCRE HTML documentation. It was generated automatically
12 from the original man page. If there is any nonsense in it, please consult the
13 man page, in case the conversion went wrong.
14 <br>
15 <ul>
16 <li><a name="TOC1" href="#SEC1">PCRE MATCHING ALGORITHMS</a>
17 <li><a name="TOC2" href="#SEC2">REGULAR EXPRESSIONS AS TREES</a>
18 <li><a name="TOC3" href="#SEC3">THE STANDARD MATCHING ALGORITHM</a>
19 <li><a name="TOC4" href="#SEC4">THE ALTERNATIVE MATCHING ALGORITHM</a>
20 <li><a name="TOC5" href="#SEC5">ADVANTAGES OF THE ALTERNATIVE ALGORITHM</a>
21 <li><a name="TOC6" href="#SEC6">DISADVANTAGES OF THE ALTERNATIVE ALGORITHM</a>
22 <li><a name="TOC7" href="#SEC7">AUTHOR</a>
23 <li><a name="TOC8" href="#SEC8">REVISION</a>
24 </ul>
25 <br><a name="SEC1" href="#TOC1">PCRE MATCHING ALGORITHMS</a><br>
26 <P>
27 This document describes the two different algorithms that are available in PCRE
28 for matching a compiled regular expression against a given subject string. The
29 "standard" algorithm is the one provided by the <b>pcre_exec()</b> function.
30 This works in the same was as Perl's matching function, and provides a
31 Perl-compatible matching operation.
32 </P>
33 <P>
34 An alternative algorithm is provided by the <b>pcre_dfa_exec()</b> function;
35 this operates in a different way, and is not Perl-compatible. It has advantages
36 and disadvantages compared with the standard algorithm, and these are described
37 below.
38 </P>
39 <P>
40 When there is only one possible way in which a given subject string can match a
41 pattern, the two algorithms give the same answer. A difference arises, however,
42 when there are multiple possibilities. For example, if the pattern
43 <pre>
44 ^&#60;.*&#62;
45 </pre>
46 is matched against the string
47 <pre>
48 &#60;something&#62; &#60;something else&#62; &#60;something further&#62;
49 </pre>
50 there are three possible answers. The standard algorithm finds only one of
51 them, whereas the alternative algorithm finds all three.
52 </P>
53 <br><a name="SEC2" href="#TOC1">REGULAR EXPRESSIONS AS TREES</a><br>
54 <P>
55 The set of strings that are matched by a regular expression can be represented
56 as a tree structure. An unlimited repetition in the pattern makes the tree of
57 infinite size, but it is still a tree. Matching the pattern to a given subject
58 string (from a given starting point) can be thought of as a search of the tree.
59 There are two ways to search a tree: depth-first and breadth-first, and these
60 correspond to the two matching algorithms provided by PCRE.
61 </P>
62 <br><a name="SEC3" href="#TOC1">THE STANDARD MATCHING ALGORITHM</a><br>
63 <P>
64 In the terminology of Jeffrey Friedl's book "Mastering Regular
65 Expressions", the standard algorithm is an "NFA algorithm". It conducts a
66 depth-first search of the pattern tree. That is, it proceeds along a single
67 path through the tree, checking that the subject matches what is required. When
68 there is a mismatch, the algorithm tries any alternatives at the current point,
69 and if they all fail, it backs up to the previous branch point in the tree, and
70 tries the next alternative branch at that level. This often involves backing up
71 (moving to the left) in the subject string as well. The order in which
72 repetition branches are tried is controlled by the greedy or ungreedy nature of
73 the quantifier.
74 </P>
75 <P>
76 If a leaf node is reached, a matching string has been found, and at that point
77 the algorithm stops. Thus, if there is more than one possible match, this
78 algorithm returns the first one that it finds. Whether this is the shortest,
79 the longest, or some intermediate length depends on the way the greedy and
80 ungreedy repetition quantifiers are specified in the pattern.
81 </P>
82 <P>
83 Because it ends up with a single path through the tree, it is relatively
84 straightforward for this algorithm to keep track of the substrings that are
85 matched by portions of the pattern in parentheses. This provides support for
86 capturing parentheses and back references.
87 </P>
88 <br><a name="SEC4" href="#TOC1">THE ALTERNATIVE MATCHING ALGORITHM</a><br>
89 <P>
90 This algorithm conducts a breadth-first search of the tree. Starting from the
91 first matching point in the subject, it scans the subject string from left to
92 right, once, character by character, and as it does this, it remembers all the
93 paths through the tree that represent valid matches. In Friedl's terminology,
94 this is a kind of "DFA algorithm", though it is not implemented as a
95 traditional finite state machine (it keeps multiple states active
96 simultaneously).
97 </P>
98 <P>
99 Although the general principle of this matching algorithm is that it scans the
100 subject string only once, without backtracking, there is one exception: when a
101 lookaround assertion is encountered, the characters following or preceding the
102 current point have to be independently inspected.
103 </P>
104 <P>
105 The scan continues until either the end of the subject is reached, or there are
106 no more unterminated paths. At this point, terminated paths represent the
107 different matching possibilities (if there are none, the match has failed).
108 Thus, if there is more than one possible match, this algorithm finds all of
109 them, and in particular, it finds the longest. There is an option to stop the
110 algorithm after the first match (which is necessarily the shortest) is found.
111 </P>
112 <P>
113 Note that all the matches that are found start at the same point in the
114 subject. If the pattern
115 <pre>
116 cat(er(pillar)?)
117 </pre>
118 is matched against the string "the caterpillar catchment", the result will be
119 the three strings "cat", "cater", and "caterpillar" that start at the fourth
120 character of the subject. The algorithm does not automatically move on to find
121 matches that start at later positions.
122 </P>
123 <P>
124 There are a number of features of PCRE regular expressions that are not
125 supported by the alternative matching algorithm. They are as follows:
126 </P>
127 <P>
128 1. Because the algorithm finds all possible matches, the greedy or ungreedy
129 nature of repetition quantifiers is not relevant. Greedy and ungreedy
130 quantifiers are treated in exactly the same way. However, possessive
131 quantifiers can make a difference when what follows could also match what is
132 quantified, for example in a pattern like this:
133 <pre>
134 ^a++\w!
135 </pre>
136 This pattern matches "aaab!" but not "aaa!", which would be matched by a
137 non-possessive quantifier. Similarly, if an atomic group is present, it is
138 matched as if it were a standalone pattern at the current point, and the
139 longest match is then "locked in" for the rest of the overall pattern.
140 </P>
141 <P>
142 2. When dealing with multiple paths through the tree simultaneously, it is not
143 straightforward to keep track of captured substrings for the different matching
144 possibilities, and PCRE's implementation of this algorithm does not attempt to
145 do this. This means that no captured substrings are available.
146 </P>
147 <P>
148 3. Because no substrings are captured, back references within the pattern are
149 not supported, and cause errors if encountered.
150 </P>
151 <P>
152 4. For the same reason, conditional expressions that use a backreference as the
153 condition or test for a specific group recursion are not supported.
154 </P>
155 <P>
156 5. Because many paths through the tree may be active, the \K escape sequence,
157 which resets the start of the match when encountered (but may be on some paths
158 and not on others), is not supported. It causes an error if encountered.
159 </P>
160 <P>
161 6. Callouts are supported, but the value of the <i>capture_top</i> field is
162 always 1, and the value of the <i>capture_last</i> field is always -1.
163 </P>
164 <P>
165 7. The \C escape sequence, which (in the standard algorithm) matches a single
166 byte, even in UTF-8 mode, is not supported because the alternative algorithm
167 moves through the subject string one character at a time, for all active paths
168 through the tree.
169 </P>
170 <P>
171 8. Except for (*FAIL), the backtracking control verbs such as (*PRUNE) are not
172 supported. (*FAIL) is supported, and behaves like a failing negative assertion.
173 </P>
174 <br><a name="SEC5" href="#TOC1">ADVANTAGES OF THE ALTERNATIVE ALGORITHM</a><br>
175 <P>
176 Using the alternative matching algorithm provides the following advantages:
177 </P>
178 <P>
179 1. All possible matches (at a single point in the subject) are automatically
180 found, and in particular, the longest match is found. To find more than one
181 match using the standard algorithm, you have to do kludgy things with
182 callouts.
183 </P>
184 <P>
185 2. Because the alternative algorithm scans the subject string just once, and
186 never needs to backtrack, it is possible to pass very long subject strings to
187 the matching function in several pieces, checking for partial matching each
188 time. It is possible to do multi-segment matching using <b>pcre_exec()</b> (by
189 retaining partially matched substrings), but it is more complicated. The
190 <a href="pcrepartial.html"><b>pcrepartial</b></a>
191 documentation gives details of partial matching and discusses multi-segment
192 matching.
193 </P>
194 <br><a name="SEC6" href="#TOC1">DISADVANTAGES OF THE ALTERNATIVE ALGORITHM</a><br>
195 <P>
196 The alternative algorithm suffers from a number of disadvantages:
197 </P>
198 <P>
199 1. It is substantially slower than the standard algorithm. This is partly
200 because it has to search for all possible matches, but is also because it is
201 less susceptible to optimization.
202 </P>
203 <P>
204 2. Capturing parentheses and back references are not supported.
205 </P>
206 <P>
207 3. Although atomic groups are supported, their use does not provide the
208 performance advantage that it does for the standard algorithm.
209 </P>
210 <br><a name="SEC7" href="#TOC1">AUTHOR</a><br>
211 <P>
212 Philip Hazel
213 <br>
214 University Computing Service
215 <br>
216 Cambridge CB2 3QH, England.
217 <br>
218 </P>
219 <br><a name="SEC8" href="#TOC1">REVISION</a><br>
220 <P>
221 Last updated: 22 October 2010
222 <br>
223 Copyright &copy; 1997-2010 University of Cambridge.
224 <br>
225 <p>
226 Return to the <a href="index.html">PCRE index page</a>.
227 </p>

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