Implementation notes about Henry Spencer's regex library
========================================================
If Henry ever had any internals documentation, he didn't publish it.
So this file is an attempt to reverse-engineer some docs.
General source-file layout
--------------------------
There are six separately-compilable source files, five of which expose
exactly one exported function apiece:
regcomp.c: pg_regcomp
regexec.c: pg_regexec
regerror.c: pg_regerror
regfree.c: pg_regfree
regprefix.c: pg_regprefix
(The pg_ prefixes were added by the Postgres project to distinguish this
library version from any similar one that might be present on a particular
system. They'd need to be removed or replaced in any standalone version
of the library.)
The sixth file, regexport.c, exposes multiple functions that allow extraction
of info about a compiled regex (see regexport.h).
There are additional source files regc_*.c that are #include'd in regcomp,
and similarly additional source files rege_*.c that are #include'd in
regexec. This was done to avoid exposing internal symbols globally;
all functions not meant to be part of the library API are static.
(Actually the above is a lie in one respect: there is one more global
symbol, pg_set_regex_collation in regcomp. It is not meant to be part of
the API, but it has to be global because both regcomp and regexec call it.
It'd be better to get rid of that, as well as the static variables it
sets, in favor of keeping the needed locale state in the regex structs.
We have not done this yet for lack of a design for how to add
application-specific state to the structs.)
What's where in src/backend/regex/:
regcomp.c Top-level regex compilation code
regc_color.c Color map management
regc_cvec.c Character vector (cvec) management
regc_lex.c Lexer
regc_nfa.c NFA handling
regc_locale.c Application-specific locale code from Tcl project
regc_pg_locale.c Postgres-added application-specific locale code
regexec.c Top-level regex execution code
rege_dfa.c DFA creation and execution
regerror.c pg_regerror: generate text for a regex error code
regfree.c pg_regfree: API to free a no-longer-needed regex_t
regexport.c Functions for extracting info from a regex_t
regprefix.c Code for extracting a common prefix from a regex_t
The locale-specific code is concerned primarily with case-folding and with
expanding locale-specific character classes, such as [[:alnum:]]. It
really needs refactoring if this is ever to become a standalone library.
The header files for the library are in src/include/regex/:
regcustom.h Customizes library for particular application
regerrs.h Error message list
regex.h Exported API
regexport.h Exported API for regexport.c
regguts.h Internals declarations
DFAs, NFAs, and all that
------------------------
This library is a hybrid DFA/NFA regex implementation. (If you've never
heard either of those terms, get thee to a first-year comp sci textbook.)
It might not be clear at first glance what that really means and how it
relates to what you'll see in the code. Here's what really happens:
* Initial parsing of a regex generates an NFA representation, with number
of states approximately proportional to the length of the regexp.
* The NFA is then optimized into a "compact NFA" representation, which is
basically the same data but without fields that are not going to be needed
at runtime. We do a little bit of cleanup too, such as removing
unreachable states that might be created as a result of the rather naive
transformation done by initial parsing. The cNFA representation is what
is passed from regcomp to regexec.
* Unlike traditional NFA-based regex engines, we do not execute directly
from the NFA representation, as that would require backtracking and so be
very slow in some cases. Rather, we execute a DFA, which ideally can
process an input string in linear time (O(M) for M characters of input)
without backtracking. Each state of the DFA corresponds to a set of
states of the NFA, that is all the states that the NFA might have been in
upon reaching the current point in the input string. Therefore, an NFA
with N states might require as many as 2^N states in the corresponding
DFA, which could easily require unreasonable amounts of memory. We deal
with this by materializing states of the DFA lazily (only when needed) and
keeping them in a limited-size cache. The possible need to build the same
state of the DFA repeatedly makes this approach not truly O(M) time, but
in the worst case as much as O(M*N). That's still far better than the
worst case for a backtracking NFA engine.
If that were the end of it, we'd just say this is a DFA engine, with the
use of NFAs being merely an implementation detail. However, a DFA engine
cannot handle some important regex features such as capturing parens and
back-references. If the parser finds that a regex uses these features
(collectively called "messy cases" in the code), then we have to use
NFA-style backtracking search after all.
When using the NFA mode, the representation constructed by the parser
consists of a tree of sub-expressions ("subre"s). Leaf tree nodes are
either plain regular expressions (which are executed as DFAs in the manner
described above) or back-references (which try to match the input to some
previous substring). Non-leaf nodes are capture nodes (which save the
location of the substring currently matching their child node),
concatenation, alternation, or iteration nodes. At execution time, the
executor recursively scans the tree. At concatenation, alternation, or
iteration nodes, it considers each possible alternative way of matching the
input string, that is each place where the string could be split for a
concatenation or iteration, or each child node for an alternation. It
tries the next alternative if the match fails according to the child nodes.
This is exactly the sort of backtracking search done by a traditional NFA
regex engine. If there are many tree levels it can get very slow.
But all is not lost: we can still be smarter than the average pure NFA
engine. To do this, each subre node has an associated DFA, which
represents what the node could possibly match insofar as a mathematically
pure regex can describe that, which basically means "no backrefs".
Before we perform any search of possible alternative sub-matches, we run
the DFA to see if it thinks the proposed substring could possibly match.
If not, we can reject the match immediately without iterating through many
possibilities.
As an example, consider the regex "(a[bc]+)\1". The compiled
representation will have a top-level concatenation subre node. Its left
child is a capture node, and the child of that is a plain DFA node for
"a[bc]+". The concatenation's right child is a backref node for \1.
The DFA associated with the concatenation node will be "a[bc]+a[bc]+",
where the backref has been replaced by a copy of the DFA for its referent
expression. When executed, the concatenation node will have to search for
a possible division of the input string that allows its two child nodes to
each match their part of the string (and although this specific case can
only succeed when the division is at the middle, the code does not know
that, nor would it be true in general). However, we can first run the DFA
and quickly reject any input that doesn't contain two a's and some number
of b's and c's. If the DFA doesn't match, there is no need to recurse to
the two child nodes for each possible string division point. In many
cases, this prefiltering makes the search run much faster than a pure NFA
engine could do. It is this behavior that justifies using the phrase
"hybrid DFA/NFA engine" to describe Spencer's library.
Colors and colormapping
-----------------------
In many common regex patterns, there are large numbers of characters that
can be treated alike by the execution engine. A simple example is the
pattern "[[:alpha:]][[:alnum:]]*" for an identifier. Basically the engine
only needs to care whether an input symbol is a letter, a digit, or other.
We could build the NFA or DFA with a separate arc for each possible letter
and digit, but that's very wasteful of space and not so cheap to execute
either, especially when dealing with Unicode which can have thousands of
letters. Instead, the parser builds a "color map" that maps each possible
input symbol to a "color", or equivalence class. The NFA or DFA
representation then has arcs labeled with colors, not specific input
symbols. At execution, the first thing the executor does with each input
symbol is to look up its color in the color map, and then everything else
works from the color only.
To build the colormap, we start by assigning every possible input symbol
the color WHITE, which means "other" (that is, at the end of parsing, the
symbols that are still WHITE are those not explicitly referenced anywhere
in the regex). When we see a simple literal character or a bracket
expression in the regex, we want to assign that character, or all the
characters represented by the bracket expression, a unique new color that
can be used to label the NFA arc corresponding to the state transition for
matching this character or bracket expression. The basic idea is:
first, change the color assigned to a character to some new value;
second, run through all the existing arcs in the partially-built NFA,
and for each one referencing the character's old color, add a parallel
arc referencing its new color (this keeps the reassignment from changing
the semantics of what we already built); and third, add a new arc with
the character's new color to the current pair of NFA states, denoting
that seeing this character allows the state transition to be made.
This is complicated a bit by not wanting to create more colors
(equivalence classes) than absolutely necessary. In particular, if a
bracket expression mentions two characters that had the same color before,
they should still share the same color after we process the bracket, since
there is still not a need to distinguish them. But we do need to
distinguish them from other characters that previously had the same color
yet are not listed in the bracket expression. To mechanize this, the code
has a concept of "parent colors" and "subcolors", where a color's subcolor
is the new color that we are giving to any characters of that color while
parsing the current atom. (The word "parent" is a bit unfortunate here,
because it suggests a long-lived relationship, but a subcolor link really
only lasts for the duration of parsing a single atom.) In other words,
a subcolor link means that we are in process of splitting the parent color
into two colors (equivalence classes), depending on whether or not each
member character should be included by the current regex atom.
As an example, suppose we have the regex "a\d\wx". Initially all possible
character codes are labeled WHITE (color 0). To parse the atom "a", we
create a new color (1), update "a"'s color map entry to 1, and create an
arc labeled 1 between the first two states of the NFA. Now we see \d,
which is really a bracket expression containing the digits "0"-"9".
First we process "0", which is currently WHITE, so we create a new color
(2), update "0"'s color map entry to 2, and create an arc labeled 2
between the second and third states of the NFA. We also mark color WHITE
as having the subcolor 2, which means that future relabelings of WHITE
characters should also select 2 as the new color. Thus, when we process
"1", we won't create a new color but re-use 2. We update "1"'s color map
entry to 2, and then find that we don't need a new arc because there is
already one labeled 2 between the second and third states of the NFA.
Similarly for the other 8 digits, so there will be only one arc labeled 2
between NFA states 2 and 3 for all members of this bracket expression.
At completion of processing of the bracket expression, we call okcolors()
which breaks all the existing parent/subcolor links; there is no longer a
marker saying that WHITE characters should be relabeled 2. (Note:
actually, we did the same creation and clearing of a subcolor link for the
primitive atom "a", but it didn't do anything very interesting.) Now we
come to the "\w" bracket expression, which for simplicity assume expands
to just "[a-z0-9]". We process "a", but observe that it is already the
sole member of its color 1. This means there is no need to subdivide that
equivalence class more finely, so we do not create any new color. We just
make an arc labeled 1 between the third and fourth NFA states. Next we
process "b", which is WHITE and far from the only WHITE character, so we
create a new color (3), link that as WHITE's subcolor, relabel "b" as
color 3, and make an arc labeled 3. As we process "c" through "z", each
is relabeled from WHITE to 3, but no new arc is needed. Now we come to
"0", which is not the only member of its color 2, so we suppose that a new
color is needed and create color 4. We link 4 as subcolor of 2, relabel
"0" as color 4 in the map, and add an arc for color 4. Next "1" through
"9" are similarly relabeled as color 4, with no additional arcs needed.
Having finished the bracket expression, we call okcolors(), which breaks
the subcolor links. okcolors() further observes that we have removed
every member of color 2 (the previous color of the digit characters).
Therefore, it runs through the partial NFA built so far and relabels arcs
labeled 2 to color 4; in particular the arc from NFA state 2 to state 3 is
relabeled color 4. Then it frees up color 2, since we have no more use
for that color. We now have an NFA in which transitions for digits are
consistently labeled with color 4. Last, we come to the atom "x".
"x" is currently labeled with color 3, and it's not the only member of
that color, so we realize that we now need to distinguish "x" from other
letters when we did not before. We create a new color, which might have
been 5 but instead we recycle the unused color 2. "x" is relabeled 2 in
the color map and 2 is linked as the subcolor of 3, and we add an arc for
2 between states 4 and 5 of the NFA. Now we call okcolors(), which breaks
the subcolor link between colors 3 and 2 and notices that both colors are
nonempty. Therefore, it also runs through the existing NFA arcs and adds
an additional arc labeled 2 wherever there is an arc labeled 3; this
action ensures that characters of color 2 (i.e., "x") will still be
considered as allowing any transitions they did before. We are now done
parsing the regex, and we have these final color assignments:
color 1: "a"
color 2: "x"
color 3: other letters
color 4: digits
and the NFA has these arcs:
states 1 -> 2 on color 1 (hence, "a" only)
states 2 -> 3 on color 4 (digits)
states 3 -> 4 on colors 1, 3, 4, and 2 (covering all \w characters)
states 4 -> 5 on color 2 ("x" only)
which can be seen to be a correct representation of the regex.
Given this summary, we can see we need the following operations for
colors:
* A fast way to look up the current color assignment for any character
code. (This is needed during both parsing and execution, while the
remaining operations are needed only during parsing.)
* A way to alter the color assignment for any given character code.
* We must track the number of characters currently assigned to each
color, so that we can detect empty and singleton colors.
* We must track all existing NFA arcs of a given color, so that we
can relabel them at need, or add parallel arcs of a new color when
an existing color has to be subdivided.
The last two of these are handled with the "struct colordesc" array and
the "colorchain" links in NFA arc structs. The color map proper (that
is, the per-character lookup array) is handled as a multi-level tree,
with each tree level indexed by one byte of a character's value. The
code arranges to not have more than one copy of bottom-level tree pages
that are all-the-same-color.
Unfortunately, this design does not seem terribly efficient for common
cases such as a tree in which all Unicode letters are colored the same,
because there aren't that many places where we get a whole page all the
same color, except at the end of the map. (It also strikes me that given
PG's current restrictions on the range of Unicode values, we could use a
3-level rather than 4-level tree; but there's not provision for that in
regguts.h at the moment.)
A bigger problem is that it just doesn't seem very reasonable to have to
consider each Unicode letter separately at regex parse time for a regex
such as "\w"; more than likely, a huge percentage of those codes will
never be seen at runtime. We need to fix things so that locale-based
character classes are somehow processed "symbolically" without making a
full expansion of their contents at parse time. This would mean that we'd
have to be ready to call iswalpha() at runtime, but if that only happens
for high-code-value characters, it shouldn't be a big performance hit.
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