ClickHouse/dbms/src/Common/OptimizedRegularExpression.h
2018-01-10 03:04:08 +03:00

111 lines
3.7 KiB
C++

#pragma once
#include <string>
#include <vector>
#include <memory>
#include <Common/config.h>
#include <re2/re2.h>
#if USE_RE2_ST
#include <re2_st/re2.h>
#else
#define re2_st re2
#endif
/** Uses two ways to optimize a regular expression:
* 1. If the regular expression is trivial (reduces to finding a substring in a string),
* then replaces the search with strstr or strcasestr.
* 2. If the regular expression contains a non-alternative substring of sufficient length,
* then before testing, strstr or strcasestr of sufficient length is used;
* regular expression is only fully checked if a substring is found.
* 3. In other cases, the re2 engine is used.
*
* This makes sense, since strstr and strcasestr in libc for Linux are well optimized.
*
* Suitable if the following conditions are simultaneously met:
* - if in most calls, the regular expression does not match;
* - if the regular expression is compatible with the re2 engine;
* - you can use at your own risk, since, probably, not all cases are taken into account.
*
* NOTE: Multi-character metasymbols such as \Pl are handled incorrectly.
*/
namespace OptimizedRegularExpressionDetails
{
struct Match
{
std::string::size_type offset;
std::string::size_type length;
};
}
template <bool thread_safe>
class OptimizedRegularExpressionImpl
{
public:
enum Options
{
RE_CASELESS = 0x00000001,
RE_NO_CAPTURE = 0x00000010,
RE_DOT_NL = 0x00000100
};
using Match = OptimizedRegularExpressionDetails::Match;
using MatchVec = std::vector<Match>;
using RegexType = std::conditional_t<thread_safe, re2::RE2, re2_st::RE2>;
using StringPieceType = std::conditional_t<thread_safe, re2::StringPiece, re2_st::StringPiece>;
OptimizedRegularExpressionImpl(const std::string & regexp_, int options = 0);
bool match(const std::string & subject) const
{
return match(subject.data(), subject.size());
}
bool match(const std::string & subject, Match & match_) const
{
return match(subject.data(), subject.size(), match_);
}
unsigned match(const std::string & subject, MatchVec & matches) const
{
return match(subject.data(), subject.size(), matches);
}
unsigned match(const char * subject, size_t subject_size, MatchVec & matches) const
{
return match(subject, subject_size, matches, number_of_subpatterns + 1);
}
bool match(const char * subject, size_t subject_size) const;
bool match(const char * subject, size_t subject_size, Match & match) const;
unsigned match(const char * subject, size_t subject_size, MatchVec & matches, unsigned limit) const;
unsigned getNumberOfSubpatterns() const { return number_of_subpatterns; }
/// Get the regexp re2 or nullptr if the pattern is trivial (for output to the log).
const std::unique_ptr<RegexType> & getRE2() const { return re2; }
static void analyze(const std::string & regexp_, std::string & required_substring, bool & is_trivial, bool & required_substring_is_prefix);
void getAnalyzeResult(std::string & out_required_substring, bool & out_is_trivial, bool & out_required_substring_is_prefix) const
{
out_required_substring = required_substring;
out_is_trivial = is_trivial;
out_required_substring_is_prefix = required_substring_is_prefix;
}
private:
bool is_trivial;
bool required_substring_is_prefix;
bool is_case_insensitive;
std::string required_substring;
std::unique_ptr<RegexType> re2;
unsigned number_of_subpatterns;
};
using OptimizedRegularExpression = OptimizedRegularExpressionImpl<true>;
#include "OptimizedRegularExpression.inl.h"