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1 <html>
2 <head>
3 <title>pcreperform specification</title>
4 </head>
5 <body bgcolor="#FFFFFF" text="#00005A" link="#0066FF" alink="#3399FF" vlink="#2222BB">
6 <h1>pcreperform 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 <br><b>
16 PCRE PERFORMANCE
17 </b><br>
18 <P>
19 Two aspects of performance are discussed below: memory usage and processing
20 time. The way you express your pattern as a regular expression can affect both
21 of them.
22 </P>
23 <br><b>
24 COMPILED PATTERN MEMORY USAGE
25 </b><br>
26 <P>
27 Patterns are compiled by PCRE into a reasonably efficient interpretive code, so
28 that most simple patterns do not use much memory. However, there is one case
29 where the memory usage of a compiled pattern can be unexpectedly large. If a
30 parenthesized subpattern has a quantifier with a minimum greater than 1 and/or
31 a limited maximum, the whole subpattern is repeated in the compiled code. For
32 example, the pattern
33 <pre>
34 (abc|def){2,4}
35 </pre>
36 is compiled as if it were
37 <pre>
38 (abc|def)(abc|def)((abc|def)(abc|def)?)?
39 </pre>
40 (Technical aside: It is done this way so that backtrack points within each of
41 the repetitions can be independently maintained.)
42 </P>
43 <P>
44 For regular expressions whose quantifiers use only small numbers, this is not
45 usually a problem. However, if the numbers are large, and particularly if such
46 repetitions are nested, the memory usage can become an embarrassment. For
47 example, the very simple pattern
48 <pre>
49 ((ab){1,1000}c){1,3}
50 </pre>
51 uses 51K bytes when compiled using the 8-bit library. When PCRE is compiled
52 with its default internal pointer size of two bytes, the size limit on a
53 compiled pattern is 64K data units, and this is reached with the above pattern
54 if the outer repetition is increased from 3 to 4. PCRE can be compiled to use
55 larger internal pointers and thus handle larger compiled patterns, but it is
56 better to try to rewrite your pattern to use less memory if you can.
57 </P>
58 <P>
59 One way of reducing the memory usage for such patterns is to make use of PCRE's
60 <a href="pcrepattern.html#subpatternsassubroutines">"subroutine"</a>
61 facility. Re-writing the above pattern as
62 <pre>
63 ((ab)(?2){0,999}c)(?1){0,2}
64 </pre>
65 reduces the memory requirements to 18K, and indeed it remains under 20K even
66 with the outer repetition increased to 100. However, this pattern is not
67 exactly equivalent, because the "subroutine" calls are treated as
68 <a href="pcrepattern.html#atomicgroup">atomic groups</a>
69 into which there can be no backtracking if there is a subsequent matching
70 failure. Therefore, PCRE cannot do this kind of rewriting automatically.
71 Furthermore, there is a noticeable loss of speed when executing the modified
72 pattern. Nevertheless, if the atomic grouping is not a problem and the loss of
73 speed is acceptable, this kind of rewriting will allow you to process patterns
74 that PCRE cannot otherwise handle.
75 </P>
76 <br><b>
77 STACK USAGE AT RUN TIME
78 </b><br>
79 <P>
80 When <b>pcre_exec()</b> or <b>pcre16_exec()</b> is used for matching, certain
81 kinds of pattern can cause it to use large amounts of the process stack. In
82 some environments the default process stack is quite small, and if it runs out
83 the result is often SIGSEGV. This issue is probably the most frequently raised
84 problem with PCRE. Rewriting your pattern can often help. The
85 <a href="pcrestack.html"><b>pcrestack</b></a>
86 documentation discusses this issue in detail.
87 </P>
88 <br><b>
89 PROCESSING TIME
90 </b><br>
91 <P>
92 Certain items in regular expression patterns are processed more efficiently
93 than others. It is more efficient to use a character class like [aeiou] than a
94 set of single-character alternatives such as (a|e|i|o|u). In general, the
95 simplest construction that provides the required behaviour is usually the most
96 efficient. Jeffrey Friedl's book contains a lot of useful general discussion
97 about optimizing regular expressions for efficient performance. This document
98 contains a few observations about PCRE.
99 </P>
100 <P>
101 Using Unicode character properties (the \p, \P, and \X escapes) is slow,
102 because PCRE has to scan a structure that contains data for over fifteen
103 thousand characters whenever it needs a character's property. If you can find
104 an alternative pattern that does not use character properties, it will probably
105 be faster.
106 </P>
107 <P>
108 By default, the escape sequences \b, \d, \s, and \w, and the POSIX
109 character classes such as [:alpha:] do not use Unicode properties, partly for
110 backwards compatibility, and partly for performance reasons. However, you can
111 set PCRE_UCP if you want Unicode character properties to be used. This can
112 double the matching time for items such as \d, when matched with
113 a traditional matching function; the performance loss is less with
114 a DFA matching function, and in both cases there is not much difference for
115 \b.
116 </P>
117 <P>
118 When a pattern begins with .* not in parentheses, or in parentheses that are
119 not the subject of a backreference, and the PCRE_DOTALL option is set, the
120 pattern is implicitly anchored by PCRE, since it can match only at the start of
121 a subject string. However, if PCRE_DOTALL is not set, PCRE cannot make this
122 optimization, because the . metacharacter does not then match a newline, and if
123 the subject string contains newlines, the pattern may match from the character
124 immediately following one of them instead of from the very start. For example,
125 the pattern
126 <pre>
127 .*second
128 </pre>
129 matches the subject "first\nand second" (where \n stands for a newline
130 character), with the match starting at the seventh character. In order to do
131 this, PCRE has to retry the match starting after every newline in the subject.
132 </P>
133 <P>
134 If you are using such a pattern with subject strings that do not contain
135 newlines, the best performance is obtained by setting PCRE_DOTALL, or starting
136 the pattern with ^.* or ^.*? to indicate explicit anchoring. That saves PCRE
137 from having to scan along the subject looking for a newline to restart at.
138 </P>
139 <P>
140 Beware of patterns that contain nested indefinite repeats. These can take a
141 long time to run when applied to a string that does not match. Consider the
142 pattern fragment
143 <pre>
144 ^(a+)*
145 </pre>
146 This can match "aaaa" in 16 different ways, and this number increases very
147 rapidly as the string gets longer. (The * repeat can match 0, 1, 2, 3, or 4
148 times, and for each of those cases other than 0 or 4, the + repeats can match
149 different numbers of times.) When the remainder of the pattern is such that the
150 entire match is going to fail, PCRE has in principle to try every possible
151 variation, and this can take an extremely long time, even for relatively short
152 strings.
153 </P>
154 <P>
155 An optimization catches some of the more simple cases such as
156 <pre>
157 (a+)*b
158 </pre>
159 where a literal character follows. Before embarking on the standard matching
160 procedure, PCRE checks that there is a "b" later in the subject string, and if
161 there is not, it fails the match immediately. However, when there is no
162 following literal this optimization cannot be used. You can see the difference
163 by comparing the behaviour of
164 <pre>
165 (a+)*\d
166 </pre>
167 with the pattern above. The former gives a failure almost instantly when
168 applied to a whole line of "a" characters, whereas the latter takes an
169 appreciable time with strings longer than about 20 characters.
170 </P>
171 <P>
172 In many cases, the solution to this kind of performance issue is to use an
173 atomic group or a possessive quantifier.
174 </P>
175 <br><b>
176 AUTHOR
177 </b><br>
178 <P>
179 Philip Hazel
180 <br>
181 University Computing Service
182 <br>
183 Cambridge CB2 3QH, England.
184 <br>
185 </P>
186 <br><b>
187 REVISION
188 </b><br>
189 <P>
190 Last updated: 09 January 2012
191 <br>
192 Copyright &copy; 1997-2012 University of Cambridge.
193 <br>
194 <p>
195 Return to the <a href="index.html">PCRE index page</a>.
196 </p>

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