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-<html>
-<head>
-<title>pcreperform specification</title>
-</head>
-<body bgcolor="#FFFFFF" text="#00005A" link="#0066FF" alink="#3399FF" vlink="#2222BB">
-<h1>pcreperform man page</h1>
-<p>
-Return to the <a href="index.html">PCRE index page</a>.
-</p>
-<p>
-This page is part of the PCRE HTML documentation. It was generated automatically
-from the original man page. If there is any nonsense in it, please consult the
-man page, in case the conversion went wrong.
-<br>
-<br><b>
-PCRE PERFORMANCE
-</b><br>
-<P>
-Two aspects of performance are discussed below: memory usage and processing
-time. The way you express your pattern as a regular expression can affect both
-of them.
-</P>
-<br><b>
-COMPILED PATTERN MEMORY USAGE
-</b><br>
-<P>
-Patterns are compiled by PCRE into a reasonably efficient interpretive code, so
-that most simple patterns do not use much memory. However, there is one case
-where the memory usage of a compiled pattern can be unexpectedly large. If a
-parenthesized subpattern has a quantifier with a minimum greater than 1 and/or
-a limited maximum, the whole subpattern is repeated in the compiled code. For
-example, the pattern
-<pre>
- (abc|def){2,4}
-</pre>
-is compiled as if it were
-<pre>
- (abc|def)(abc|def)((abc|def)(abc|def)?)?
-</pre>
-(Technical aside: It is done this way so that backtrack points within each of
-the repetitions can be independently maintained.)
-</P>
-<P>
-For regular expressions whose quantifiers use only small numbers, this is not
-usually a problem. However, if the numbers are large, and particularly if such
-repetitions are nested, the memory usage can become an embarrassment. For
-example, the very simple pattern
-<pre>
- ((ab){1,1000}c){1,3}
-</pre>
-uses 51K bytes when compiled using the 8-bit library. When PCRE is compiled
-with its default internal pointer size of two bytes, the size limit on a
-compiled pattern is 64K data units, and this is reached with the above pattern
-if the outer repetition is increased from 3 to 4. PCRE can be compiled to use
-larger internal pointers and thus handle larger compiled patterns, but it is
-better to try to rewrite your pattern to use less memory if you can.
-</P>
-<P>
-One way of reducing the memory usage for such patterns is to make use of PCRE's
-<a href="pcrepattern.html#subpatternsassubroutines">"subroutine"</a>
-facility. Re-writing the above pattern as
-<pre>
- ((ab)(?2){0,999}c)(?1){0,2}
-</pre>
-reduces the memory requirements to 18K, and indeed it remains under 20K even
-with the outer repetition increased to 100. However, this pattern is not
-exactly equivalent, because the "subroutine" calls are treated as
-<a href="pcrepattern.html#atomicgroup">atomic groups</a>
-into which there can be no backtracking if there is a subsequent matching
-failure. Therefore, PCRE cannot do this kind of rewriting automatically.
-Furthermore, there is a noticeable loss of speed when executing the modified
-pattern. Nevertheless, if the atomic grouping is not a problem and the loss of
-speed is acceptable, this kind of rewriting will allow you to process patterns
-that PCRE cannot otherwise handle.
-</P>
-<br><b>
-STACK USAGE AT RUN TIME
-</b><br>
-<P>
-When <b>pcre_exec()</b> or <b>pcre[16|32]_exec()</b> is used for matching, certain
-kinds of pattern can cause it to use large amounts of the process stack. In
-some environments the default process stack is quite small, and if it runs out
-the result is often SIGSEGV. This issue is probably the most frequently raised
-problem with PCRE. Rewriting your pattern can often help. The
-<a href="pcrestack.html"><b>pcrestack</b></a>
-documentation discusses this issue in detail.
-</P>
-<br><b>
-PROCESSING TIME
-</b><br>
-<P>
-Certain items in regular expression patterns are processed more efficiently
-than others. It is more efficient to use a character class like [aeiou] than a
-set of single-character alternatives such as (a|e|i|o|u). In general, the
-simplest construction that provides the required behaviour is usually the most
-efficient. Jeffrey Friedl's book contains a lot of useful general discussion
-about optimizing regular expressions for efficient performance. This document
-contains a few observations about PCRE.
-</P>
-<P>
-Using Unicode character properties (the \p, \P, and \X escapes) is slow,
-because PCRE has to use a multi-stage table lookup whenever it needs a
-character's property. If you can find an alternative pattern that does not use
-character properties, it will probably be faster.
-</P>
-<P>
-By default, the escape sequences \b, \d, \s, and \w, and the POSIX
-character classes such as [:alpha:] do not use Unicode properties, partly for
-backwards compatibility, and partly for performance reasons. However, you can
-set PCRE_UCP if you want Unicode character properties to be used. This can
-double the matching time for items such as \d, when matched with
-a traditional matching function; the performance loss is less with
-a DFA matching function, and in both cases there is not much difference for
-\b.
-</P>
-<P>
-When a pattern begins with .* not in parentheses, or in parentheses that are
-not the subject of a backreference, and the PCRE_DOTALL option is set, the
-pattern is implicitly anchored by PCRE, since it can match only at the start of
-a subject string. However, if PCRE_DOTALL is not set, PCRE cannot make this
-optimization, because the . metacharacter does not then match a newline, and if
-the subject string contains newlines, the pattern may match from the character
-immediately following one of them instead of from the very start. For example,
-the pattern
-<pre>
- .*second
-</pre>
-matches the subject "first\nand second" (where \n stands for a newline
-character), with the match starting at the seventh character. In order to do
-this, PCRE has to retry the match starting after every newline in the subject.
-</P>
-<P>
-If you are using such a pattern with subject strings that do not contain
-newlines, the best performance is obtained by setting PCRE_DOTALL, or starting
-the pattern with ^.* or ^.*? to indicate explicit anchoring. That saves PCRE
-from having to scan along the subject looking for a newline to restart at.
-</P>
-<P>
-Beware of patterns that contain nested indefinite repeats. These can take a
-long time to run when applied to a string that does not match. Consider the
-pattern fragment
-<pre>
- ^(a+)*
-</pre>
-This can match "aaaa" in 16 different ways, and this number increases very
-rapidly as the string gets longer. (The * repeat can match 0, 1, 2, 3, or 4
-times, and for each of those cases other than 0 or 4, the + repeats can match
-different numbers of times.) When the remainder of the pattern is such that the
-entire match is going to fail, PCRE has in principle to try every possible
-variation, and this can take an extremely long time, even for relatively short
-strings.
-</P>
-<P>
-An optimization catches some of the more simple cases such as
-<pre>
- (a+)*b
-</pre>
-where a literal character follows. Before embarking on the standard matching
-procedure, PCRE checks that there is a "b" later in the subject string, and if
-there is not, it fails the match immediately. However, when there is no
-following literal this optimization cannot be used. You can see the difference
-by comparing the behaviour of
-<pre>
- (a+)*\d
-</pre>
-with the pattern above. The former gives a failure almost instantly when
-applied to a whole line of "a" characters, whereas the latter takes an
-appreciable time with strings longer than about 20 characters.
-</P>
-<P>
-In many cases, the solution to this kind of performance issue is to use an
-atomic group or a possessive quantifier.
-</P>
-<br><b>
-AUTHOR
-</b><br>
-<P>
-Philip Hazel
-<br>
-University Computing Service
-<br>
-Cambridge CB2 3QH, England.
-<br>
-</P>
-<br><b>
-REVISION
-</b><br>
-<P>
-Last updated: 25 August 2012
-<br>
-Copyright &copy; 1997-2012 University of Cambridge.
-<br>
-<p>
-Return to the <a href="index.html">PCRE index page</a>.
-</p>