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PERLINTERP(1)                              Perl Programmers Reference Guide                             PERLINTERP(1)



NAME
       perlinterp - An overview of the Perl interpreter

DESCRIPTION
       This document provides an overview of how the Perl interpreter works at the level of C code, along with
       pointers to the relevant C source code files.

ELEMENTS OF THE INTERPRETER
       The work of the interpreter has two main stages: compiling the code into the internal representation, or
       bytecode, and then executing it.  "Compiled code" in perlguts explains exactly how the compilation stage
       happens.

       Here is a short breakdown of perl's operation:

   Startup
       The action begins in perlmain.c. (or miniperlmain.c for miniperl) This is very high-level code, enough to fit
       on a single screen, and it resembles the code found in perlembed; most of the real action takes place in
       perl.c

       perlmain.c is generated by "ExtUtils::Miniperl" from miniperlmain.c at make time, so you should make perl to
       follow this along.

       First, perlmain.c allocates some memory and constructs a Perl interpreter, along these lines:

           1 PERL_SYS_INIT3(&argc,&argv,&env);
           2
           3 if (!PL_do_undump) {
           4     my_perl = perl_alloc();
           5     if (!my_perl)
           6         exit(1);
           7     perl_construct(my_perl);
           8     PL_perl_destruct_level = 0;
           9 }

       Line 1 is a macro, and its definition is dependent on your operating system. Line 3 references "PL_do_undump",
       a global variable - all global variables in Perl start with "PL_". This tells you whether the current running
       program was created with the "-u" flag to perl and then undump, which means it's going to be false in any sane
       context.

       Line 4 calls a function in perl.c to allocate memory for a Perl interpreter. It's quite a simple function, and
       the guts of it looks like this:

        my_perl = (PerlInterpreter*)PerlMem_malloc(sizeof(PerlInterpreter));

       Here you see an example of Perl's system abstraction, which we'll see later: "PerlMem_malloc" is either your
       system's "malloc", or Perl's own "malloc" as defined in malloc.c if you selected that option at configure
       time.

       Next, in line 7, we construct the interpreter using perl_construct, also in perl.c; this sets up all the
       special variables that Perl needs, the stacks, and so on.

       Now we pass Perl the command line options, and tell it to go:

        exitstatus = perl_parse(my_perl, xs_init, argc, argv, (char **)NULL);
        if (!exitstatus)
            perl_run(my_perl);

       "yyparse", the parser, lives in perly.c, although you're better off reading the original YACC input in
       perly.y. (Yes, Virginia, there is a YACC grammar for Perl!) The job of the parser is to take your code and
       "understand" it, splitting it into sentences, deciding which operands go with which operators and so on.

       The parser is nobly assisted by the lexer, which chunks up your input into tokens, and decides what type of
       thing each token is: a variable name, an operator, a bareword, a subroutine, a core function, and so on. The
       main point of entry to the lexer is "yylex", and that and its associated routines can be found in toke.c. Perl
       isn't much like other computer languages; it's highly context sensitive at times, it can be tricky to work out
       what sort of token something is, or where a token ends. As such, there's a lot of interplay between the
       tokeniser and the parser, which can get pretty frightening if you're not used to it.

       As the parser understands a Perl program, it builds up a tree of operations for the interpreter to perform
       during execution. The routines which construct and link together the various operations are to be found in
       op.c, and will be examined later.

   Optimization
       Now the parsing stage is complete, and the finished tree represents the operations that the Perl interpreter
       needs to perform to execute our program. Next, Perl does a dry run over the tree looking for optimisations:
       constant expressions such as "3 + 4" will be computed now, and the optimizer will also see if any multiple
       operations can be replaced with a single one. For instance, to fetch the variable $foo, instead of grabbing
       the glob *foo and looking at the scalar component, the optimizer fiddles the op tree to use a function which
       directly looks up the scalar in question. The main optimizer is "peep" in op.c, and many ops have their own
       optimizing functions.

   Running
       Now we're finally ready to go: we have compiled Perl byte code, and all that's left to do is run it. The
       actual execution is done by the "runops_standard" function in run.c; more specifically, it's done by these
       three innocent looking lines:

           while ((PL_op = PL_op->op_ppaddr(aTHX))) {
               PERL_ASYNC_CHECK();
           }

       You may be more comfortable with the Perl version of that:

           PERL_ASYNC_CHECK() while $Perl::op = &{$Perl::op->{function}};

       Well, maybe not. Anyway, each op contains a function pointer, which stipulates the function which will
       actually carry out the operation.  This function will return the next op in the sequence - this allows for
       things like "if" which choose the next op dynamically at run time. The "PERL_ASYNC_CHECK" makes sure that
       things like signals interrupt execution if required.

       The actual functions called are known as PP code, and they're spread between four files: pp_hot.c contains the
       "hot" code, which is most often used and highly optimized, pp_sys.c contains all the system-specific
       functions, pp_ctl.c contains the functions which implement control structures ("if", "while" and the like) and
       pp.c contains everything else. These are, if you like, the C code for Perl's built-in functions and operators.

       Note that each "pp_" function is expected to return a pointer to the next op. Calls to perl subs (and eval
       blocks) are handled within the same runops loop, and do not consume extra space on the C stack. For example,
       "pp_entersub" and "pp_entertry" just push a "CxSUB" or "CxEVAL" block struct onto the context stack which
       contain the address of the op following the sub call or eval. They then return the first op of that sub or
       eval block, and so execution continues of that sub or block. Later, a "pp_leavesub" or "pp_leavetry" op pops
       the "CxSUB" or "CxEVAL", retrieves the return op from it, and returns it.

       "JMPENV_PUSH", then enter a runops loop or whatever, and handle possible exception returns. For a 2 return,
       final cleanup is performed, such as popping stacks and calling "CHECK" or "END" blocks. Amongst other things,
       this is how scope cleanup still occurs during an "exit".

       If a "die" can find a "CxEVAL" block on the context stack, then the stack is popped to that level and the
       return op in that block is assigned to "PL_restartop"; then a JMPENV_JUMP(3) is performed.  This normally
       passes control back to the guard. In the case of "perl_run" and "call_sv", a non-null "PL_restartop" triggers
       re-entry to the runops loop. The is the normal way that "die" or "croak" is handled within an "eval".

       Sometimes ops are executed within an inner runops loop, such as tie, sort or overload code. In this case,
       something like

           sub FETCH { eval { die } }

       would cause a longjmp right back to the guard in "perl_run", popping both runops loops, which is clearly
       incorrect. One way to avoid this is for the tie code to do a "JMPENV_PUSH" before executing "FETCH" in the
       inner runops loop, but for efficiency reasons, perl in fact just sets a flag, using "CATCH_SET(TRUE)". The
       "pp_require", "pp_entereval" and "pp_entertry" ops check this flag, and if true, they call "docatch", which
       does a "JMPENV_PUSH" and starts a new runops level to execute the code, rather than doing it on the current
       loop.

       As a further optimisation, on exit from the eval block in the "FETCH", execution of the code following the
       block is still carried on in the inner loop. When an exception is raised, "docatch" compares the "JMPENV"
       level of the "CxEVAL" with "PL_top_env" and if they differ, just re-throws the exception. In this way any
       inner loops get popped.

       Here's an example.

           1: eval { tie @a, 'A' };
           2: sub A::TIEARRAY {
           3:     eval { die };
           4:     die;
           5: }

       To run this code, "perl_run" is called, which does a "JMPENV_PUSH" then enters a runops loop. This loop
       executes the eval and tie ops on line 1, with the eval pushing a "CxEVAL" onto the context stack.

       The "pp_tie" does a "CATCH_SET(TRUE)", then starts a second runops loop to execute the body of "TIEARRAY".
       When it executes the entertry op on line 3, "CATCH_GET" is true, so "pp_entertry" calls "docatch" which does a
       "JMPENV_PUSH" and starts a third runops loop, which then executes the die op. At this point the C call stack
       looks like this:

           Perl_pp_die
           Perl_runops      # third loop
           S_docatch_body
           S_docatch
           Perl_pp_entertry
           Perl_runops      # second loop
           S_call_body
           Perl_call_sv
           Perl_pp_tie
           Perl_runops      # first loop
           S_run_body
           perl_run
           retop=nextstate

       The die pops the first "CxEVAL" off the context stack, sets "PL_restartop" from it, does a JMPENV_JUMP(3), and
       control returns to the top "docatch". This then starts another third-level runops level, which executes the
       nextstate, pushmark and die ops on line 4. At the point that the second "pp_die" is called, the C call stack
       looks exactly like that above, even though we are no longer within an inner eval; this is because of the
       optimization mentioned earlier. However, the context stack now looks like this, ie with the top CxEVAL popped:

           STACK 0: MAIN
             CX 0: BLOCK  =>
             CX 1: EVAL   => AV()  PV("A"\0)
             retop=leave
           STACK 1: MAGIC
             CX 0: SUB    =>
             retop=(null)

       The die on line 4 pops the context stack back down to the CxEVAL, leaving it as:

           STACK 0: MAIN
             CX 0: BLOCK  =>

       As usual, "PL_restartop" is extracted from the "CxEVAL", and a JMPENV_JUMP(3) done, which pops the C stack
       back to the docatch:

           S_docatch
           Perl_pp_entertry
           Perl_runops      # second loop
           S_call_body
           Perl_call_sv
           Perl_pp_tie
           Perl_runops      # first loop
           S_run_body
           perl_run
           main

       In  this case, because the "JMPENV" level recorded in the "CxEVAL" differs from the current one, "docatch"
       just does a JMPENV_JUMP(3) and the C stack unwinds to:

           perl_run
           main

       Because "PL_restartop" is non-null, "run_body" starts a new runops loop and execution continues.

   INTERNAL VARIABLE TYPES
       You should by now have had a look at perlguts, which tells you about Perl's internal variable types: SVs, HVs,
       AVs and the rest. If not, do that now.

       These variables are used not only to represent Perl-space variables, but also any constants in the code, as
       well as some structures completely internal to Perl. The symbol table, for instance, is an ordinary Perl hash.
       Your code is represented by an SV as it's read into the parser; any program files you call are opened via
       ordinary Perl filehandles, and so on.

       The core Devel::Peek module lets us examine SVs from a Perl program. Let's see, for instance, how Perl treats
       the constant "hello".
       structures, but they contain a pointer to a more complex structure. In this case, it's a PV, a structure which
       holds a string value, at location 0xa041450. Line 2 is the reference count; there are no other references to
       this data, so it's 1.

       Line 3 are the flags for this SV - it's OK to use it as a PV, it's a read-only SV (because it's a constant)
       and the data is a PV internally.  Next we've got the contents of the string, starting at location 0xa0484e0.

       Line 5 gives us the current length of the string - note that this does not include the null terminator. Line 6
       is not the length of the string, but the length of the currently allocated buffer; as the string grows, Perl
       automatically extends the available storage via a routine called "SvGROW".

       You can get at any of these quantities from C very easily; just add "Sv" to the name of the field shown in the
       snippet, and you've got a macro which will return the value: "SvCUR(sv)" returns the current length of the
       string, "SvREFCOUNT(sv)" returns the reference count, "SvPV(sv, len)" returns the string itself with its
       length, and so on.  More macros to manipulate these properties can be found in perlguts.

       Let's take an example of manipulating a PV, from "sv_catpvn", in sv.c

            1  void
            2  Perl_sv_catpvn(pTHX_ register SV *sv, register const char *ptr, register STRLEN len)
            3  {
            4      STRLEN tlen;
            5      char *junk;

            6      junk = SvPV_force(sv, tlen);
            7      SvGROW(sv, tlen + len + 1);
            8      if (ptr == junk)
            9          ptr = SvPVX(sv);
           10      Move(ptr,SvPVX(sv)+tlen,len,char);
           11      SvCUR(sv) += len;
           12      *SvEND(sv) = '\0';
           13      (void)SvPOK_only_UTF8(sv);          /* validate pointer */
           14      SvTAINT(sv);
           15  }

       This is a function which adds a string, "ptr", of length "len" onto the end of the PV stored in "sv". The
       first thing we do in line 6 is make sure that the SV has a valid PV, by calling the "SvPV_force" macro to
       force a PV. As a side effect, "tlen" gets set to the current value of the PV, and the PV itself is returned to
       "junk".

       In line 7, we make sure that the SV will have enough room to accommodate the old string, the new string and
       the null terminator. If "LEN" isn't big enough, "SvGROW" will reallocate space for us.

       Now, if "junk" is the same as the string we're trying to add, we can grab the string directly from the SV;
       "SvPVX" is the address of the PV in the SV.

       Line 10 does the actual catenation: the "Move" macro moves a chunk of memory around: we move the string "ptr"
       to the end of the PV - that's the start of the PV plus its current length. We're moving "len" bytes of type
       "char". After doing so, we need to tell Perl we've extended the string, by altering "CUR" to reflect the new
       length. "SvEND" is a macro which gives us the end of the string, so that needs to be a "\0".

       Line 13 manipulates the flags; since we've changed the PV, any IV or NV values will no longer be valid: if we
       have "$a=10; $a.="6";" we don't want to use the old IV of 10. "SvPOK_only_utf8" is a special UTF-8-aware
       version of "SvPOK_only", a macro which turns off the IOK and NOK flags and turns on POK. The final "SvTAINT"
       block, ending a statement, fetching a variable, and so on.

       The op tree is connected in two ways: you can imagine that there are two "routes" through it, two orders in
       which you can traverse the tree.  First, parse order reflects how the parser understood the code, and
       secondly, execution order tells perl what order to perform the operations in.

       The easiest way to examine the op tree is to stop Perl after it has finished parsing, and get it to dump out
       the tree. This is exactly what the compiler backends B::Terse, B::Concise and B::Debug do.

       Let's have a look at how Perl sees "$a = $b + $c":

            % perl -MO=Terse -e '$a=$b+$c'
            1  LISTOP (0x8179888) leave
            2      OP (0x81798b0) enter
            3      COP (0x8179850) nextstate
            4      BINOP (0x8179828) sassign
            5          BINOP (0x8179800) add [1]
            6              UNOP (0x81796e0) null [15]
            7                  SVOP (0x80fafe0) gvsv  GV (0x80fa4cc) *b
            8              UNOP (0x81797e0) null [15]
            9                  SVOP (0x8179700) gvsv  GV (0x80efeb0) *c
           10          UNOP (0x816b4f0) null [15]
           11              SVOP (0x816dcf0) gvsv  GV (0x80fa460) *a

       Let's start in the middle, at line 4. This is a BINOP, a binary operator, which is at location 0x8179828. The
       specific operator in question is "sassign" - scalar assignment - and you can find the code which implements it
       in the function "pp_sassign" in pp_hot.c. As a binary operator, it has two children: the add operator,
       providing the result of "$b+$c", is uppermost on line 5, and the left hand side is on line 10.

       Line 10 is the null op: this does exactly nothing. What is that doing there? If you see the null op, it's a
       sign that something has been optimized away after parsing. As we mentioned in "Optimization", the optimization
       stage sometimes converts two operations into one, for example when fetching a scalar variable. When this
       happens, instead of rewriting the op tree and cleaning up the dangling pointers, it's easier just to replace
       the redundant operation with the null op.  Originally, the tree would have looked like this:

           10          SVOP (0x816b4f0) rv2sv [15]
           11              SVOP (0x816dcf0) gv  GV (0x80fa460) *a

       That is, fetch the "a" entry from the main symbol table, and then look at the scalar component of it: "gvsv"
       ("pp_gvsv" into pp_hot.c) happens to do both these things.

       The right hand side, starting at line 5 is similar to what we've just seen: we have the "add" op ("pp_add"
       also in pp_hot.c) add together two "gvsv"s.

       Now, what's this about?

            1  LISTOP (0x8179888) leave
            2      OP (0x81798b0) enter
            3      COP (0x8179850) nextstate

       "enter" and "leave" are scoping ops, and their job is to perform any housekeeping every time you enter and
       leave a block: lexical variables are tidied up, unreferenced variables are destroyed, and so on. Every program
       will have those first three lines: "leave" is a list, and its children are all the statements in the block.
       Statements are delimited by "nextstate", so a block is a collection of "nextstate" ops, with the ops to be

                               $a   +
                                   / \
                                 $b   $c

       However, it's impossible to perform the operations in this order: you have to find the values of $b and $c
       before you add them together, for instance. So, the other thread that runs through the op tree is the
       execution order: each op has a field "op_next" which points to the next op to be run, so following these
       pointers tells us how perl executes the code. We can traverse the tree in this order using the "exec" option
       to "B::Terse":

            % perl -MO=Terse,exec -e '$a=$b+$c'
            1  OP (0x8179928) enter
            2  COP (0x81798c8) nextstate
            3  SVOP (0x81796c8) gvsv  GV (0x80fa4d4) *b
            4  SVOP (0x8179798) gvsv  GV (0x80efeb0) *c
            5  BINOP (0x8179878) add [1]
            6  SVOP (0x816dd38) gvsv  GV (0x80fa468) *a
            7  BINOP (0x81798a0) sassign
            8  LISTOP (0x8179900) leave

       This probably makes more sense for a human: enter a block, start a statement. Get the values of $b and $c, and
       add them together.  Find $a, and assign one to the other. Then leave.

       The way Perl builds up these op trees in the parsing process can be unravelled by examining perly.y, the YACC
       grammar. Let's take the piece we need to construct the tree for "$a = $b + $c"

           1 term    :   term ASSIGNOP term
           2                { $$ = newASSIGNOP(OPf_STACKED, $1, $2, $3); }
           3         |   term ADDOP term
           4                { $$ = newBINOP($2, 0, scalar($1), scalar($3)); }

       If you're not used to reading BNF grammars, this is how it works: You're fed certain things by the tokeniser,
       which generally end up in upper case. Here, "ADDOP", is provided when the tokeniser sees "+" in your code.
       "ASSIGNOP" is provided when "=" is used for assigning.  These are "terminal symbols", because you can't get
       any simpler than them.

       The grammar, lines one and three of the snippet above, tells you how to build up more complex forms. These
       complex forms, "non-terminal symbols" are generally placed in lower case. "term" here is a non-terminal
       symbol, representing a single expression.

       The grammar gives you the following rule: you can make the thing on the left of the colon if you see all the
       things on the right in sequence.  This is called a "reduction", and the aim of parsing is to completely reduce
       the input. There are several different ways you can perform a reduction, separated by vertical bars: so,
       "term" followed by "=" followed by "term" makes a "term", and "term" followed by "+" followed by "term" can
       also make a "term".

       So, if you see two terms with an "=" or "+", between them, you can turn them into a single expression. When
       you do this, you execute the code in the block on the next line: if you see "=", you'll do the code in line 2.
       If you see "+", you'll do the code in line 4. It's this code which contributes to the op tree.

                   |   term ADDOP term
                   { $$ = newBINOP($2, 0, scalar($1), scalar($3)); }

       What this does is creates a new binary op, and feeds it a number of variables. The variables refer to the

   Argument stack
       Arguments are passed to PP code and returned from PP code using the argument stack, "ST". The typical way to
       handle arguments is to pop them off the stack, deal with them how you wish, and then push the result back onto
       the stack. This is how, for instance, the cosine operator works:

             NV value;
             value = POPn;
             value = Perl_cos(value);
             XPUSHn(value);

       We'll see a more tricky example of this when we consider Perl's macros below. "POPn" gives you the NV
       (floating point value) of the top SV on the stack: the $x in "cos($x)". Then we compute the cosine, and push
       the result back as an NV. The "X" in "XPUSHn" means that the stack should be extended if necessary - it can't
       be necessary here, because we know there's room for one more item on the stack, since we've just removed one!
       The "XPUSH*" macros at least guarantee safety.

       Alternatively, you can fiddle with the stack directly: "SP" gives you the first element in your portion of the
       stack, and "TOP*" gives you the top SV/IV/NV/etc. on the stack. So, for instance, to do unary negation of an
       integer:

            SETi(-TOPi);

       Just set the integer value of the top stack entry to its negation.

       Argument stack manipulation in the core is exactly the same as it is in XSUBs - see perlxstut, perlxs and
       perlguts for a longer description of the macros used in stack manipulation.

   Mark stack
       I say "your portion of the stack" above because PP code doesn't necessarily get the whole stack to itself: if
       your function calls another function, you'll only want to expose the arguments aimed for the called function,
       and not (necessarily) let it get at your own data.  The way we do this is to have a "virtual" bottom-of-stack,
       exposed to each function. The mark stack keeps bookmarks to locations in the argument stack usable by each
       function. For instance, when dealing with a tied variable, (internally, something with "P" magic) Perl has to
       call methods for accesses to the tied variables. However, we need to separate the arguments exposed to the
       method to the argument exposed to the original function - the store or fetch or whatever it may be.  Here's
       roughly how the tied "push" is implemented; see "av_push" in av.c:

            1  PUSHMARK(SP);
            2  EXTEND(SP,2);
            3  PUSHs(SvTIED_obj((SV*)av, mg));
            4  PUSHs(val);
            5  PUTBACK;
            6  ENTER;
            7  call_method("PUSH", G_SCALAR|G_DISCARD);
            8  LEAVE;

       Let's examine the whole implementation, for practice:

            1  PUSHMARK(SP);

       Push the current state of the stack pointer onto the mark stack. This is so that when we've finished adding
       items to the argument stack, Perl knows how many things we've added recently.

            2  EXTEND(SP,2);
            6  ENTER;
            7  call_method("PUSH", G_SCALAR|G_DISCARD);
            8  LEAVE;

       "ENTER" and "LEAVE" localise a block of code - they make sure that all variables are tidied up, everything
       that has been localised gets its previous value returned, and so on. Think of them as the "{" and "}" of a
       Perl block.

       To actually do the magic method call, we have to call a subroutine in Perl space: "call_method" takes care of
       that, and it's described in perlcall. We call the "PUSH" method in scalar context, and we're going to discard
       its return value. The call_method() function removes the top element of the mark stack, so there is nothing
       for the caller to clean up.

   Save stack
       C doesn't have a concept of local scope, so perl provides one. We've seen that "ENTER" and "LEAVE" are used as
       scoping braces; the save stack implements the C equivalent of, for example:

           {
               local $foo = 42;
               ...
           }

       See "Localizing changes" in perlguts for how to use the save stack.

MILLIONS OF MACROS
       One thing you'll notice about the Perl source is that it's full of macros. Some have called the pervasive use
       of macros the hardest thing to understand, others find it adds to clarity. Let's take an example, the code
       which implements the addition operator:

          1  PP(pp_add)
          2  {
          3      dSP; dATARGET; tryAMAGICbin(add,opASSIGN);
          4      {
          5        dPOPTOPnnrl_ul;
          6        SETn( left + right );
          7        RETURN;
          8      }
          9  }

       Every line here (apart from the braces, of course) contains a macro.  The first line sets up the function
       declaration as Perl expects for PP code; line 3 sets up variable declarations for the argument stack and the
       target, the return value of the operation. Finally, it tries to see if the addition operation is overloaded;
       if so, the appropriate subroutine is called.

       Line 5 is another variable declaration - all variable declarations start with "d" - which pops from the top of
       the argument stack two NVs (hence "nn") and puts them into the variables "right" and "left", hence the "rl".
       These are the two operands to the addition operator.  Next, we call "SETn" to set the NV of the return value
       to the result of adding the two values. This done, we return - the "RETURN" macro makes sure that our return
       value is properly handled, and we pass the next operator to run back to the main run loop.

       Most of these macros are explained in perlapi, and some of the more important ones are explained in perlxs as
       well. Pay special attention to "Background and PERL_IMPLICIT_CONTEXT" in perlguts for information on the
       "[pad]THX_?" macros.