From 61e213bb77795b9e36bd0f4003c81b269fa59dc4 Mon Sep 17 00:00:00 2001 From: sabine Date: Thu, 7 Dec 2023 09:57:03 +0100 Subject: [PATCH] Integrate pages from CS3110 and Real World OCaml (#1766) * shorten and move old gc tutorial to guides section * code changes to enable integration of third-party docs * add CS3110 documents and CS3110 banner - Memoization - Monads * add RWO pages and RWO banner: - Memory Representation of Values - Understanding the Garbage Collector - Compiler Frontend - Compiler Backend --- data/media/tutorials/cs3110_banner.png | Bin 0 -> 50963 bytes .../language/compiler-frontend/pipeline.png | Bin 0 -> 66786 bytes .../language/garbage-collector/minor_heap.png | Bin 0 -> 19589 bytes .../language/runtime-memory-layout/block.png | Bin 0 -> 18846 bytes .../float_array_layout.png | Bin 0 -> 12567 bytes .../runtime-memory-layout/string_block.png | Bin 0 -> 18488 bytes .../runtime-memory-layout/tuple_layout.png | Bin 0 -> 12046 bytes data/media/tutorials/rwo_banner.png | Bin 0 -> 527903 bytes .../1wf_05_garbage_collection.md} | 96 +- data/tutorials/language/3ds_06_memoization.md | 412 ++++++ data/tutorials/language/3ds_07_monads.md | 822 +++++++++++ .../language/5rt_00_memory_representation.md | 576 ++++++++ .../language/5rt_01_garbage-collector.md | 677 +++++++++ .../language/5rt_02_compiler_frontend.md | 1262 +++++++++++++++++ .../language/5rt_03_compiler_backend.md | 1156 +++++++++++++++ src/ocamlorg_data/data.mli | 9 + .../components/learn_components.eml | 4 +- .../components/learn_sidebar.eml | 40 + .../layouts/learn_layout.eml | 16 +- src/ocamlorg_frontend/pages/is_ocaml_yet.eml | 2 +- src/ocamlorg_frontend/pages/tutorial.eml | 18 +- tool/ood-gen/lib/tutorial.ml | 30 + 22 files changed, 5023 insertions(+), 97 deletions(-) create mode 100644 data/media/tutorials/cs3110_banner.png create mode 100644 data/media/tutorials/language/compiler-frontend/pipeline.png create mode 100644 data/media/tutorials/language/garbage-collector/minor_heap.png create mode 100644 data/media/tutorials/language/runtime-memory-layout/block.png create mode 100644 data/media/tutorials/language/runtime-memory-layout/float_array_layout.png create mode 100644 data/media/tutorials/language/runtime-memory-layout/string_block.png create mode 100644 data/media/tutorials/language/runtime-memory-layout/tuple_layout.png create mode 100644 data/media/tutorials/rwo_banner.png rename data/tutorials/{language/5rt_00_garbage_collection.md => guides/1wf_05_garbage_collection.md} (70%) create mode 100644 data/tutorials/language/3ds_06_memoization.md create mode 100644 data/tutorials/language/3ds_07_monads.md create mode 100644 data/tutorials/language/5rt_00_memory_representation.md create mode 100644 data/tutorials/language/5rt_01_garbage-collector.md create mode 100644 data/tutorials/language/5rt_02_compiler_frontend.md create mode 100644 data/tutorials/language/5rt_03_compiler_backend.md create mode 100644 src/ocamlorg_frontend/components/learn_sidebar.eml diff --git 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It's often assumed that calling `free` costs nothing. In fact -`free` is an expensive operation which involves navigating over the -complex data structures used by the memory allocator. If your program -calls `free` intermittently, then all of that code and data needs to be -loaded into the cache, displacing your program code and data each time -you `free` a single memory allocation. A collection strategy which frees -multiple memory areas in one go (such as either a pool allocator or a -GC) pays this penalty only once for multiple allocations (thus the cost -per allocation is greatly reduced). - -GCs also move memory areas around and compact the heap. This makes -allocation easier, hence faster, and a smart GC can be written to -interact well with the L1 and L2 caches. - -Of course none of this precludes writing a very fast hand-allocator, but -it's considerably harder work than most programmers realise. - -OCaml's garbage collector has two heaps, the **minor heap** and the -**major heap**. This recognises a general principle: most objects are -small and allocated frequently and then immediately freed. These objects -go into the minor heap first, which is GC'd frequently. Only some -objects are long lasting. These objects get promoted from the minor heap -to the major heap after some time, and the major heap is only collected -infrequently. - -The OCaml GC is synchronous. It doesn't run in a separate thread, and it -can only get called during an allocation request. - -### GC vs. Reference Counting -Python has a form of garbage collection, but it -[mostly uses](https://devguide.python.org/internals/garbage-collector/) a -simple scheme called -[reference counting](https://en.wikipedia.org/wiki/Reference_counting). -Simply put, each Python object keeps a count of the number of other -objects pointing to (referencing) itself. When the count falls to zero, -nothing is pointing at this object, so the object can be freed. - -Reference counting is automatic memory management, but it is not considered -a full-fledged garbage collection by computer scientists. Yet it does have one -big practical advantage over full garbage collectors. With reference counting, -you can avoid many explicit calls to `close`/`closedir` in code. +# How to Work with the Garbage Collector - -```ocaml -let read_file filename = - let chan = open_in filename in - (* read from chan *) in -List.iter read_file files -``` - -Calls to `read_file` open the file but don't close it. Because OCaml -uses a full garbage collector, `chan` isn't collected until some time -later when the minor heap becomes full. In addition, **OCaml will not -close the channel when it collects the handle's memory**, so this -program would eventually run out of file descriptors. - -You need to be aware of this when writing OCaml code that uses files, -directories, or any other heavyweight object with complex finalisation. - -To be fair to full garbage collection, let's mention the -disadvantages of reference counting schemes: - -* Each object needs to store a reference count. Basically, there's - a word overhead for every object. Programs use more memory and are - consequently slower because they are more likely to fill up the - cache or spill into swap. -* Reference counting is expensive. Every time you manipulate pointers - to an object, you need to update and check the reference count. - Pointer manipulation is frequent, so this slows your program and - bloats the code size of compiled code. -* They cannot collect so-called circular or self-referential - structures. I've programmed in many languages over the years and - can't recall ever having created one of these. In addition to - reference counting, Python has a dedicated garbage collector to - address this. -* Graph algorithms, of course, violate the previous assumption. +In [Understanding the Garbage Collector](/docs/garbage-collector), discussed how Garbage Collection in OCaml works. +In this tutorial, we look at how to use the `Gc` module and how to write your own finalisers. +At the end of the tutorial, we give some exercises you might try in order to develop a better understanding. ## The `Gc` Module The `Gc` module contains some useful functions for querying and calling diff --git a/data/tutorials/language/3ds_06_memoization.md b/data/tutorials/language/3ds_06_memoization.md new file mode 100644 index 0000000000..006f407ee0 --- /dev/null +++ b/data/tutorials/language/3ds_06_memoization.md @@ -0,0 +1,412 @@ +--- +id: memoization +title: Memoization +description: > + Memoization, adapted from OCaml Programming: Correct + Efficient + Beautiful +category: "Data Structures" +external_tutorial: + tag: "CS3110" + banner: + image: "tutorials/cs3110_banner.png" + url: https://cs3110.github.io/textbook/cover.html + alt: "Ocaml Programming: Correct + Efficient + Beautiful" + contribute_link: + url: https://github.com/cs3110/textbook/blob/main/src/chapters/ds/memoization.md + description: "You are encouraged to contribute to the original sources of this page at the CS3110 GitHub repository." +--- + +# Memoization + +Memoization is a powerful technique for speeding up simple recursive +algorithms, without having to change the way the algorithm works. This is done +by "remembering" the results of a computation, so that previously computed results +never have to be recomputed. We'll illustrate the principle using +imperative data structures, e.g. arrays and hash tables. + +The following is an excerpt of the page ["Memoization"](https://cs3110.github.io/textbook/chapters/ds/memoization.html) from the book [OCaml Programming: Correct + Efficient + Beautiful](https://cs3110.github.io/textbook/cover.html), reproduced here with permission. + +## Fibonacci + +Let's again consider the problem of computing the nth Fibonacci number. +The naive recursive implementation takes exponential time, because of the +recomputation of the same Fibonacci numbers over and over again: + +```ocaml +let rec fib n = if n < 2 then 1 else fib (n - 1) + fib (n - 2) +``` + +

+ +**Note:** To be precise, its running time turns out to be O(pⁿ), where p is the +golden ratio, (1 + √5)/2. +
+ +If we record Fibonacci numbers as they are computed, we can avoid this redundant +work. The idea is that whenever we compute `f n`, we store it in a table indexed +by `n`. In this case the indexing keys are integers, so we can use implement +this table using an array: + +```ocaml +let fibm n = + let memo : int option array = Array.make (n + 1) None in + let rec f_mem n = + match memo.(n) with + | Some result -> (* computed already *) result + | None -> + let result = + if n < 2 then 1 else f_mem (n - 1) + f_mem (n - 2) + in + (* record in table *) + memo.(n) <- Some result; + result + in + f_mem n +``` + +The function `f_mem` defined inside `fibm` contains the original recursive +algorithm, except before doing that calculation it first checks if the result +has already been computed and stored in the table in which case it simply +returns the result. + +How do we analyze the running time of this function? The time spent in a single +call to `f_mem` is O(1) if we exclude the time spent in any recursive calls +that it happens to make. Now we look for a way to bound the total number of +recursive calls by finding some measure of the progress that is being made. + +A good choice of progress measure, not only here but also for many uses of +memoization, is the number of nonempty entries in the table (i.e. entries that +contain `Some n` rather than `None`). Each time `f_mem` makes the two recursive +calls it also increases the number of nonempty entries by one (filling in a +formerly empty entry in the table with a new value). Since the table has only +`n` entries, there can thus only be a total of O(`n`) calls to `f_mem`, for a +total running time of O(`n`) (because we established above that each call takes +O(1) time). This speedup from memoization thus reduces the running time from +exponential to linear, a huge change---e.g., for `n`=4 the speedup from +memoization is more than a factor of a million! + +The key to being able to apply memoization is that there are common sub-problems +which are being solved repeatedly. Thus we are able to use some extra storage to +save on repeated computation. + +Although this code uses imperative constructs (specifically, array update), the +side effects are not visible outside the function `fibm`. So from a client's +perspective, `fibm` is functional. There's no need to mention the imperative +implementation (i.e., the benign side effects) that are used internally. + +## Memoization Using Higher-order Functions + +Now that we've seen an example of memoizing one function, let's use higher-order +functions to memoize any function. First, consider the case of memoizing a +non-recursive function `f`. In that case we simply need to create a hash table +that stores the corresponding value for each argument that `f` is called with +(and to memoize multi-argument functions we can use currying and uncurrying to +convert to a single argument function). + +```ocaml +let memo f = + let h = Hashtbl.create 11 in + fun x -> + try Hashtbl.find h x + with Not_found -> + let y = f x in + Hashtbl.add h x y; + y +``` + +For recursive functions, however, the recursive call structure needs to be +modified. This can be abstracted out independent of the function that is being +memoized: + +```ocaml +let memo_rec f = + let h = Hashtbl.create 16 in + let rec g x = + try Hashtbl.find h x + with Not_found -> + let y = f g x in + Hashtbl.add h x y; + y + in + g +``` + +Now we can slightly rewrite the original `fib` function above using this general +memoization technique: + +```ocaml +let fib_memo = + let rec fib self n = + if n < 2 then 1 else self (n - 1) + self (n - 2) + in + memo_rec fib +``` + +## Just for Fun: Party Optimization + +Suppose we want to throw a party for a company whose org chart is a binary tree. +Each employee has an associated โ€œfun valueโ€ and we want the set of invited +employees to have a maximum total fun value. However, no employee is fun if his +superior is invited, so we never invite two employees who are connected in the +org chart. (The less fun name for this problem is the maximum weight independent +set in a tree.) For an org chart with `n` employees, there are 2ⁿ possible +invitation lists, so the naive algorithm that compares the fun of every valid +invitation list takes exponential time. + +We can use memoization to turn this into a linear-time algorithm. We start by +defining a variant type to represent the employees. The int at each node is the +fun. + +```ocaml +type tree = Empty | Node of int * tree * tree +``` + +Now, how can we solve this recursively? One important observation is that in any +tree, the optimal invitation list that doesn't include the root node will be the +union of optimal invitation lists for the left and right subtrees. And the +optimal invitation list that does include the root node will be the union of +optimal invitation lists for the left and right children that do not include +their respective root nodes. So it seems useful to have functions that optimize +the invite lists for the case where the root node is required to be invited, and +for the case where the root node is excluded. We'll call these two functions +party_in and party_out. Then the result of party is just the maximum of these +two functions: + +```ocaml +module Unmemoized = struct + type tree = + | Empty + | Node of int * tree * tree + + (* Returns optimum fun for t. *) + let rec party t = max (party_in t) (party_out t) + + (* Returns optimum fun for t assuming the root node of t + * is included. *) + and party_in t = + match t with + | Empty -> 0 + | Node (v, left, right) -> v + party_out left + party_out right + + (* Returns optimum fun for t assuming the root node of t + * is excluded. *) + and party_out t = + match t with + | Empty -> 0 + | Node (v, left, right) -> party left + party right +end +``` + +This code has exponential running time. But notice that there are only `n` +possible distinct calls to party. If we change the code to memoize the results +of these calls, the performance will be linear in `n`. Here is a version that +memoizes the result of party and also computes the actual invitation lists. +Notice that this code memoizes results directly in the tree. + +```ocaml +module Memoized = struct + (* This version memoizes the optimal fun value for each tree node. It + also remembers the best invite list. Each tree node has the name of + the employee as a string. *) + type tree = + | Empty + | Node of + int * string * tree * tree * (int * string list) option ref + + let rec party t : int * string list = + match t with + | Empty -> (0, []) + | Node (_, name, left, right, memo) -> ( + match !memo with + | Some result -> result + | None -> + let infun, innames = party_in t in + let outfun, outnames = party_out t in + let result = + if infun > outfun then (infun, innames) + else (outfun, outnames) + in + memo := Some result; + result) + + and party_in t = + match t with + | Empty -> (0, []) + | Node (v, name, l, r, _) -> + let lfun, lnames = party_out l and rfun, rnames = party_out r in + (v + lfun + rfun, name :: lnames @ rnames) + + and party_out t = + match t with + | Empty -> (0, []) + | Node (_, _, l, r, _) -> + let lfun, lnames = party l and rfun, rnames = party r in + (lfun + rfun, lnames @ rnames) +end +``` + +Why was memoization so effective for solving this problem? As with the Fibonacci +algorithm, we had the overlapping sub-problems property, in which the naive +recursive implementation called the function party many times with the same +arguments. Memoization saves all those calls. Further, the party optimization +problem has the property of optimal substructure, meaning that the optimal +answer to a problem is computed from optimal answers to sub-problems. Not all +optimization problems have this property. The key to using memoization +effectively for optimization problems is to figure out how to write a recursive +function that implements the algorithm and has two properties. Sometimes this +requires thinking carefully. + + diff --git a/data/tutorials/language/3ds_07_monads.md b/data/tutorials/language/3ds_07_monads.md new file mode 100644 index 0000000000..cc05d8473c --- /dev/null +++ b/data/tutorials/language/3ds_07_monads.md @@ -0,0 +1,822 @@ +--- +id: monads +title: Monads +description: > + Monads, adapted from OCaml Programming: Correct + Efficient + Beautiful +category: "Data Structures" +external_tutorial: + tag: "CS3110" + banner: + image: "tutorials/cs3110_banner.png" + url: https://cs3110.github.io/textbook/cover.html + alt: "Ocaml Programming: Correct + Efficient + Beautiful" + contribute_link: + url: https://github.com/cs3110/textbook/blob/main/src/chapters/ds/monads.md + description: "You are encouraged to contribute to the original sources of this page at the CS3110 GitHub repository." +--- + +This is an excerpt of the page ["Monads"](https://cs3110.github.io/textbook/chapters/ds/monads.html) from the book [OCaml Programming: Correct + Efficient + Beautiful](https://cs3110.github.io/textbook/cover.html), reproduced here with permission. + +# Monads + +A *monad* is more of a design pattern than a data structure. That is, there are +many data structures that, if you look at them in the right way, turn out to be +monads. + +The name "monad" comes from the mathematical field of *category theory*, which +studies abstractions of mathematical structures. If you ever take a PhD level +class on programming language theory, you will likely encounter that idea in +more detail. Here, though, we will omit most of the mathematical theory and +concentrate on code. + +Monads became popular in the programming world through their use in Haskell, a +functional programming language that is even more pure than OCaml—that is, +Haskell avoids side effects and imperative features even more than OCaml. But no +practical language can do without side effects. After all, printing to the +screen is a side effect. So Haskell set out to control the use of side effects +through the monad design pattern. Since then, monads have become recognized as +useful in other functional programming languages, and are even starting to +appear in imperative languages. + +Monads are used to model *computations*. Think of a computation as being like a +function, which maps an input to an output, but as also doing "something more." +The something more is an effect that the function has as a result of being +computed. For example, the effect might involve printing to the screen. Monads +provide an abstraction of effects, and help to make sure that effects happen in +a controlled order. + +## The Monad Signature + +For our purposes, a monad is a structure that satisfies two properties. First, +it must match the following signature: + +```ocaml +module type Monad = sig + type 'a t + val return : 'a -> 'a t + val bind : 'a t -> ('a -> 'b t) -> 'b t +end +``` + +Second, a monad must obey what are called the *monad laws*. We will return to +those much later, after we have studied the `return` and `bind` operations. + +Think of a monad as being like a box that contains some value. The value has +type `'a`, and the box that contains it is of type `'a t`. We have previously +used a similar box metaphor for both options and promises. That was no accident: +options and promises are both examples of monads, as we will see in detail, +below. + +**Return.** The `return` operation metaphorically puts a value into a box. You +can see that in its type: the input is of type `'a`, and the output is of type +`'a t`. + +In terms of computations, `return` is intended to have some kind of trivial +effect. For example, if the monad represents computations whose side effect is +printing to the screen, the trivial effect would be to not print anything. + +**Bind.** The `bind` operation metaphorically takes as input: + +* a boxed value, which has type `'a t`, and + +* a function that itself takes an *unboxed* value of type `'a` as input and + returns a *boxed* value of type `'b t` as output. + +The `bind` applies its second argument to the first. That requires taking the +`'a` value out of its box, applying the function to it, and returning the +result. + +In terms of computations, `bind` is intended to sequence effects one after +another. Continuing the running example of printing, sequencing would mean first +printing one string, then another, and `bind` would be making sure that the +printing happens in the correct order. + +The usual notation for `bind` is as an infix operator written `>>=` and still +pronounced "bind". So let's revise our signature for monads: + +```ocaml +module type Monad = sig + type 'a t + val return : 'a -> 'a t + val ( >>= ) : 'a t -> ('a -> 'b t) -> 'b t +end +``` + +All of the above is likely to feel very abstract upon first reading. It will +help to see some concrete examples of monads. Once you understand several `>>=` +and `return` operations, the design pattern itself should make more sense. + +So the next few sections look at several different examples of code in which +monads can be discovered. Because monads are a design pattern, they aren't +always obvious; it can take some study to tease out where the monad operations +are being used. + +## The Maybe Monad + +As we've seen before, sometimes functions are partial: there is no good output +they can produce for some inputs. For example, the function +`max_list : int list -> int` doesn't necessarily have a good output value to +return for the empty list. One possibility is to raise an exception. Another +possibility is to change the return type to be `int option`, and use `None` to +represent the function's inability to produce an output. In other words, *maybe* +the function produces an output, or *maybe* it is unable to do so hence returns +`None`. + +As another example, consider the built-in OCaml integer division function +`( / ) : int -> int -> int`. If its second argument is zero, it raises an +exception. Another possibility, though, would be to change its type to be +`( / ) : int -> int -> int option`, and return `None` whenever the divisor is +zero. + +Both of those examples involved changing the output type of a partial function +to be an option, thus making the function total. That's a nice way to program, +until you start trying to combine many functions together. For example, because +all the integer operations—addition, subtraction, division, +multiplication, negation, etc.—expect an `int` (or two) as input, you can +form large expressions out of them. But as soon as you change the output type of +division to be an option, you lose that *compositionality*. + +Here's some code to make that idea concrete: + +```ocaml +(* works fine *) +let x = 1 + (4 / 2) +``` + +```ocaml +let div (x:int) (y:int) : int option = + if y = 0 then None else Some (x / y) + +let ( / ) = div + +(* won't type check *) +let x = 1 + (4 / 2) +``` + +The problem is that we can't add an `int` to an `int option`: the addition +operator expects its second input to be of type `int`, but the new division +operator returns a value of type `int option`. + +One possibility would be to re-code all the existing operators to +accept `int option` as input. For example, + +```ocaml +let plus_opt (x:int option) (y:int option) : int option = + match x,y with + | None, _ | _, None -> None + | Some a, Some b -> Some (Stdlib.( + ) a b) + +let ( + ) = plus_opt + +let minus_opt (x:int option) (y:int option) : int option = + match x,y with + | None, _ | _, None -> None + | Some a, Some b -> Some (Stdlib.( - ) a b) + +let ( - ) = minus_opt + +let mult_opt (x:int option) (y:int option) : int option = + match x,y with + | None, _ | _, None -> None + | Some a, Some b -> Some (Stdlib.( * ) a b) + +let ( * ) = mult_opt + +let div_opt (x:int option) (y:int option) : int option = + match x,y with + | None, _ | _, None -> None + | Some a, Some b -> + if b=0 then None else Some (Stdlib.( / ) a b) + +let ( / ) = div_opt +``` + +```ocaml +(* does type check *) +let x = Some 1 + (Some 4 / Some 2) +``` + +But that's a tremendous amount of code duplication. We ought to apply the +Abstraction Principle and deduplicate. Three of the four operators can be +handled by abstracting a function that just does some pattern matching to +propagate `None`: + +```ocaml +let propagate_none (op : int -> int -> int) (x : int option) (y : int option) = + match x, y with + | None, _ | _, None -> None + | Some a, Some b -> Some (op a b) + +let ( + ) = propagate_none Stdlib.( + ) +let ( - ) = propagate_none Stdlib.( - ) +let ( * ) = propagate_none Stdlib.( * ) +``` + +Unfortunately, division is harder to deduplicate. We can't just pass +`Stdlib.( / )` to `propagate_none`, because neither of those functions will +check to see whether the divisor is zero. It would be nice if we could pass our +function `div : int -> int -> int option` to `propagate_none`, but the return +type of `div` makes that impossible. + +So, let's rewrite `propagate_none` to accept an operator of the same type as +`div`, which makes it easy to implement division: + +```ocaml +let propagate_none + (op : int -> int -> int option) (x : int option) (y : int option) += + match x, y with + | None, _ | _, None -> None + | Some a, Some b -> op a b + +let ( / ) = propagate_none div +``` + +Implementing the other three operations requires a little more work, because +their return type is `int` not `int option`. We need to wrap their return value +with `Some`: + +```ocaml +let wrap_output (op : int -> int -> int) (x : int) (y : int) : int option = + Some (op x y) + +let ( + ) = propagate_none (wrap_output Stdlib.( + )) +let ( - ) = propagate_none (wrap_output Stdlib.( - )) +let ( * ) = propagate_none (wrap_output Stdlib.( * )) +``` + +Finally, we could re-implement `div` to use `wrap_output`: + +```ocaml +let div (x : int) (y : int) : int option = + if y = 0 then None else wrap_output Stdlib.( / ) x y + +let ( / ) = propagate_none div +``` + +**Where's the Monad?** The work we just did was to take functions on integers +and transform them into functions on values that maybe are integers, but maybe +are not—that is, values that are either `Some i` where `i` is an integer, +or are `None`. We can think of these "upgraded" functions as computations that +*may have the effect of producing nothing*. They produce metaphorical boxes, and +those boxes may be full of something, or contain nothing. + +There were two fundamental ideas in the code we just wrote, which correspond to +the monad operations of `return` and `bind`. + +The first (which admittedly seems trivial) was upgrading a value from `int` to +`int option` by wrapping it with `Some`. That's what the body of `wrap_output` +does. We could expose that idea even more clearly by defining the following +function: + +```ocaml +let return (x : int) : int option = Some x +``` +This function has the *trivial effect* of putting a value into the metaphorical +box. + +The second idea was factoring out code to handle all the pattern matching +against `None`. We had to upgrade functions whose inputs were of type `int` to +instead accept inputs of type `int option`. Here's that idea expressed as its +own function: + +```ocaml +let bind (x : int option) (op : int -> int option) : int option = + match x with + | None -> None + | Some a -> op a + +let ( >>= ) = bind +``` + +The `bind` function can be understood as doing the core work of upgrading `op` +from a function that accepts an `int` as input to a function that accepts an +`int option` as input. In fact, we could even write a function that does that +upgrading for us using `bind`: + +```ocaml +let upgrade : (int -> int option) -> (int option -> int option) = + fun (op : int -> int option) (x : int option) -> (x >>= op) +``` + +All those type annotations are intended to help the reader understand +the function. Of course, it could be written much more simply as: + +```ocaml +let upgrade op x = x >>= op +``` + +Using just the `return` and `>>=` functions, we could re-implement the +arithmetic operations from above: + +```ocaml +let ( + ) (x : int option) (y : int option) : int option = + x >>= fun a -> + y >>= fun b -> + return (Stdlib.( + ) a b) + +let ( - ) (x : int option) (y : int option) : int option = + x >>= fun a -> + y >>= fun b -> + return (Stdlib.( - ) a b) + +let ( * ) (x : int option) (y : int option) : int option = + x >>= fun a -> + y >>= fun b -> + return (Stdlib.( * ) a b) + +let ( / ) (x : int option) (y : int option) : int option = + x >>= fun a -> + y >>= fun b -> + if b = 0 then None else return (Stdlib.( / ) a b) +``` + +Recall, from our discussion of the bind operator in Lwt, that the syntax above +should be parsed by your eye as + +* take `x` and extract from it the value `a`, +* then take `y` and extract from it `b`, +* then use `a` and `b` to construct a return value. + +Of course, there's still a fair amount of duplication going on there. We can +de-duplicate by using the same techniques as we did before: + +```ocaml +let upgrade_binary op x y = + x >>= fun a -> + y >>= fun b -> + op a b + +let return_binary op x y = return (op x y) + +let ( + ) = upgrade_binary (return_binary Stdlib.( + )) +let ( - ) = upgrade_binary (return_binary Stdlib.( - )) +let ( * ) = upgrade_binary (return_binary Stdlib.( * )) +let ( / ) = upgrade_binary div +``` + +**The Maybe Monad.** The monad we just discovered goes by several names: the +*maybe monad* (as in, "maybe there's a value, maybe not"), the *error monad* (as +in, "either there's a value or an error", and error is represented by +`None`—though some authors would want an error monad to be able to +represent multiple kinds of errors rather than just collapse them all to +`None`), and the *option monad* (which is obvious). + +Here's an implementation of the monad signature for the maybe monad: + +```ocaml +module Maybe : Monad = struct + type 'a t = 'a option + + let return x = Some x + + let (>>=) m f = + match m with + | None -> None + | Some x -> f x +end +``` + +These are the same implementations of `return` and `>>=` as we invented above, +but without the type annotations to force them to work only on integers. Indeed, +we never needed those annotations; they just helped make the code above a little +clearer. + +In practice the `return` function here is quite trivial and not really +necessary. But the `>>=` operator can be used to replace a lot of boilerplate +pattern matching, as we saw in the final implementation of the arithmetic +operators above. There's just a single pattern match, which is inside of `>>=`. +Compare that to the original implementations of `plus_opt`, etc., which had many +pattern matches. + +The result is we get code that (once you understand how to read the bind +operator) is easier to read and easier to maintain. + +Now that we're done playing with integer operators, we should restore +their original meaning for the rest of this file: + +```ocaml +let ( + ) = Stdlib.( + ) +let ( - ) = Stdlib.( - ) +let ( * ) = Stdlib.( * ) +let ( / ) = Stdlib.( / ) +``` + +## Example: The Writer Monad + +When trying to diagnose faults in a system, it's often the case that a *log* of +what functions have been called, as well as what their inputs and outputs were, +would be helpful. + +Imagine that we had two functions we wanted to debug, both of type `int -> int`. +For example: + +```ocaml +let inc x = x + 1 +let dec x = x - 1 +``` + +(Ok, those are really simple functions; we probably don't need any help +debugging them. But imagine they compute something far more complicated, like +encryptions or decryptions of integers.) + +One way to keep a log of function calls would be to augment each function to +return a pair: the integer value the function would normally return, as well as +a string containing a log message. For example: + +```ocaml +let inc_log x = (x + 1, Printf.sprintf "Called inc on %i; " x) +let dec_log x = (x - 1, Printf.sprintf "Called dec on %i; " x) +``` + +But that changes the return type of both functions, which makes it hard to +*compose* the functions. Previously, we could have written code such as + +```ocaml +let id x = dec (inc x) +``` + +or even better + +```ocaml +let id x = x |> inc |> dec +``` + +or even better still, using the *composition operator* `>>`, + +```ocaml +let ( >> ) f g x = x |> f |> g +let id = inc >> dec +``` + +and that would have worked just fine. But trying to do the same thing with the +loggable versions of the functions produces a type-checking error: + +```ocaml +let id = inc_log >> dec_log +``` + +That's because `inc_log x` would be a pair, but `dec_log` expects simply an +integer as input. + +We could code up an upgraded version of `dec_log` that is able to take a pair as +input: + +```ocaml +let dec_log_upgraded (x, s) = + (x - 1, Printf.sprintf "%s; Called dec on %i; " s x) + +let id x = x |> inc_log |> dec_log_upgraded +``` + +That works fine, but we also will need to code up a similar upgraded version of +`f_log` if we ever want to call them in reverse order, e.g., +`let id = dec_log >> inc_log`. So we have to write: + +```ocaml +let inc_log_upgraded (x, s) = + (x + 1, Printf.sprintf "%s; Called inc on %i; " s x) + +let id = dec_log >> inc_log_upgraded +``` + +And at this point we've duplicated far too much code. The implementations of +`inc` and `dec` are duplicated inside both `inc_log` and `dec_log`, as well as +inside both upgraded versions of the functions. And both the upgrades duplicate +the code for concatenating log messages together. The more functions we want to +make loggable, the worse this duplication is going to become! + +So, let's start over, and factor out a couple helper functions. The first helper +calls a function and produces a log message: + +```ocaml +let log (name : string) (f : int -> int) : int -> int * string = + fun x -> (f x, Printf.sprintf "Called %s on %i; " name x) +``` +The second helper produces a logging function of type +`'a * string -> 'b * string` out of a non-loggable function: + +```ocaml +let loggable (name : string) (f : int -> int) : int * string -> int * string = + fun (x, s1) -> + let (y, s2) = log name f x in + (y, s1 ^ s2) +``` + +Using those helpers, we can implement the logging versions of our functions +without any duplication of code involving pairs or pattern matching or string +concatenation: + +```ocaml +let inc' : int * string -> int * string = + loggable "inc" inc + +let dec' : int * string -> int * string = + loggable "dec" dec + +let id' : int * string -> int * string = + inc' >> dec' +``` + +Here's an example usage: + +```ocaml +id' (5, "") +``` + +Notice how it's inconvenient to call our loggable functions on integers, since +we have to pair the integer with a string. So let's write one more function to +help with that by pairing an integer with the *empty* log: + +```ocaml +let e x = (x, "") +``` + +And now we can write `id' (e 5)` instead of `id' (5, "")`. + +**Where's the Monad?** The work we just did was to take functions on integers +and transform them into functions on integers paired with log messages. We can +think of these "upgraded" functions as computations that log. They produce +metaphorical boxes, and those boxes contain function outputs as well as log +messages. + +There were two fundamental ideas in the code we just wrote, which correspond to +the monad operations of `return` and `bind`. + +The first was upgrading a value from `int` to `int * string` by pairing it with +the empty string. That's what `e` does. We could rename it `return`: + +```ocaml +let return (x : int) : int * string = (x, "") +``` +This function has the *trivial effect* of putting a value into the metaphorical +box along with the empty log message. + +The second idea was factoring out code to handle pattern matching against pairs +and string concatenation. Here's that idea expressed as its own function: + +```ocaml +let ( >>= ) (m : int * string) (f : int -> int * string) : int * string = + let (x, s1) = m in + let (y, s2) = f x in + (y, s1 ^ s2) +``` + +Using `>>=`, we can re-implement `loggable`, such that no pairs +or pattern matching are ever used in its body: + +```ocaml +let loggable (name : string) (f : int -> int) : int * string -> int * string = + fun m -> + m >>= fun x -> + log name f x +``` + +**The Writer Monad.** The monad we just discovered is usually called the *writer +monad* (as in, "additionally writing to a log or string"). Here's an +implementation of the monad signature for it: + +```ocaml +module Writer : Monad = struct + type 'a t = 'a * string + + let return x = (x, "") + + let ( >>= ) m f = + let (x, s1) = m in + let (y, s2) = f x in + (y, s1 ^ s2) +end +``` + +As we saw with the maybe monad, these are the same implementations of `return` +and `>>=` as we invented above, but without the type annotations to force them +to work only on integers. Indeed, we never needed those annotations; they just +helped make the code above a little clearer. + +It's debatable which version of `loggable` is easier to read. Certainly you need +to be comfortable with the monadic style of programming to appreciate the +version of it that uses `>>=`. But if you were developing a much larger code +base (i.e., with more functions involving paired strings than just `loggable`), +using the `>>=` operator is likely to be a good choice: it means the code you +write can concentrate on the `'a` in the type `'a Writer.t` instead of on the +strings. In other words, the writer monad will take care of the strings for you, +as long as you use `return` and `>>=`. + +## Example: The Lwt Monad + +By now, it's probably obvious that the Lwt promises library that we discussed is +also a monad. The type `'a Lwt.t` of promises has a `return` and `bind` +operation of the right types to be a monad: + +```ocaml +val return : 'a -> 'a t +val bind : 'a t -> ('a -> 'b t) -> 'b t +``` + +And `Lwt.Infix.( >>= )` is a synonym for `Lwt.bind`, so the library does provide +an infix bind operator. + +Now we start to see some of the great power of the monad design pattern. The +implementation of `'a t` and `return` that we saw before involves creating +references, but those references are completely hidden behind the monadic +interface. Moreover, we know that `bind` involves registering callbacks, but +that functionality (which as you might imagine involves maintaining collections +of callbacks) is entirely encapsulated. + +Metaphorically, as we discussed before, the box involved here is one that starts +out empty but eventually will be filled with a value of type `'a`. The +"something more" in these computations is that values are being produced +asynchronously, rather than immediately. + +## Monad Laws + +Every data structure has not just a signature, but some expected behavior. For +example, a stack has a push and a pop operation, and we expect those operations +to satisfy certain algebraic laws. We saw those for stacks when we studied +equational specification: + +* `peek (push x s) = x` +* `pop (push x empty) = empty` +* etc. + +A monad, though, is not just a single data structure. It's a design pattern for +data structures. So it's impossible to write specifications of `return` and +`>>=` for monads in general: the specifications would need to discuss the +particular monad, like the writer monad or the Lwt monad. + +On the other hand, it turns out that we can write down some laws that ought to +hold of any monad. The reason for that goes back to one of the intuitions we +gave about monads, namely, that they represent computations that have effects. +Consider Lwt, for example. We might register a callback C on promise X with +`bind`. That produces a new promise Y, on which we could register another +callback D. We expect a sequential ordering on those callbacks: C must run +before D, because Y cannot be resolved before X. + +That notion of *sequential order* is part of what the monad laws stipulate. We +will state those laws below. But first, let's pause to consider sequential order +in imperative languages. + +**Sequential Order.* In languages like Java and C, there is a semicolon that +imposes a sequential order on statements, e.g.: + +```java +System.out.println(x); +x++; +System.out.println(x); +``` + +First `x` is printed, then incremented, then printed again. The effects that +those statements have must occur in that sequential order. + +Let's imagine a hypothetical statement that causes no effect whatsoever. For +example, `assert true` causes nothing to happen in Java. (Some compilers will +completely ignore it and not even produce bytecode for it.) In most assembly +languages, there is likewise a "no op" instruction whose mnemonic is usually +`NOP` that also causes nothing to happen. (Technically, some clock cycles would +elapse. But there wouldn't be any changes to registers or memory.) In the theory +of programming languages, statements like this are usually called `skip`, as in, +"skip over me because I don't do anything interesting." + +Here are two laws that should hold of `skip` and semicolon: + +* `skip; s;` should behave the same as just `s;`. + +* `s; skip;` should behave the same as just `s;`. + +In other words, you can remove any occurrences of `skip`, because it has no +effects. Mathematically, we say that `skip` is a *left identity* (the first law) +and a *right identity* (the second law) of semicolon. + +Imperative languages also usually have a way of grouping statements together +into blocks. In Java and C, this is usually done with curly braces. Here is a +law that should hold of blocks and semicolon: + +* `{s1; s2;} s3;` should behave the same as `s1; {s2; s3;}`. + +In other words, the order is always `s1` then `s2` then `s3`, regardless of +whether you group the first two statements into a block or the second two into a +block. So you could even remove the braces and just write `s1; s2; s3;`, which +is what we normally do anyway. Mathematically, we say that semicolon is +*associative.* + +**Sequential Order with the Monad Laws.** The three laws above embody exactly +the same intuition as the monad laws, which we will now state. The monad laws +are just a bit more abstract hence harder to understand at first. + +Suppose that we have any monad, which as usual must have the following +signature: + +```ocaml +module type Monad = sig + type 'a t + val return : 'a -> 'a t + val ( >>= ) : 'a t -> ('a -> 'b t) -> 'b t +end +``` + +The three monad laws are as follows: + +* **Law 1:** `return x >>= f` behaves the same as `f x`. + +* **Law 2:** `m >>= return` behaves the same as `m`. + +* **Law 3:** `(m >>= f) >>= g` behaves the same as `m >>= (fun x -> f x >>= g)`. + +Here, "behaves the same as" means that the two expressions will both evaluate to +the same value, or they will both go into an infinite loop, or they will both +raise the same exception. + +These laws are mathematically saying the same things as the laws for `skip`, +semicolon, and braces that we saw above: `return` is a left and right identity +of `>>=`, and `>>=` is associative. Let's look at each law in more detail. + +*Law 1* says that having the trivial effect on a value, then binding a function +on it, is the same as just calling the function on the value. Consider the maybe +monad: `return x` would be `Some x`, and `>>= f` would extract `x` and apply `f` +to it. Or consider the Lwt monad: `return x` would be a promise that is already +resolved with `x`, and `>>= f` would register `f` as a callback to run on `x`. + +*Law 2* says that binding on the trivial effect is the same as just not having +the effect. Consider the maybe monad: `m >>= return` would depend upon whether +`m` is `Some x` or `None`. In the former case, binding would extract `x`, and +`return` would just re-wrap it with `Some`. In the latter case, binding would +just return `None`. Similarly, with Lwt, binding on `m` would register `return` +as a callback to be run on the contents of `m` after it is resolved, and +`return` would just take those contents and put them back into an already +resolved promise. + +*Law 3* says that bind sequences effects correctly, but it's harder to see it in +this law than it was in the version above with semicolon and braces. Law 3 would +be clearer if we could rewrite it as + +>`(m >>= f) >>= g` behaves the same as `m >>= (f >>= g)`. + +But the problem is that doesn't type check: `f >>= g` doesn't have the right +type to be on the right-hand side of `>>=`. So we have to insert an extra +anonymous function `fun x -> ...` to make the types correct. + +## Composition and Monad Laws + +There is another monad operator called `compose` that can be used to compose +monadic functions. For example, suppose you have a monad with type `'a t`, and +two functions: + +* `f : 'a -> 'b t` +* `g : 'b -> 'c t` + +The composition of those functions would be + +* `compose f g : 'a -> 'c t` + +That is, the composition would take a value of type `'a`, apply `f` to it, extract +the `'b` out of the result, apply `g` to it, and return that value. + +We can code up `compose` using `>>=`; we don't need to know anything more about +the inner workings of the monad: + +```ocaml +let compose f g x = + f x >>= fun y -> + g y + +let ( >=> ) = compose +``` + +As the last line suggests, `compose` can be expressed as infix operator written +`>=>`. + +Returning to our example of the maybe monad with a safe division operator, +imagine that we have increment and decrement functions: + +```ocaml +let inc (x : int) : int option = Some (x + 1) +let dec (x : int) : int option = Some (x - 1) +let ( >>= ) x op = + match x with + | None -> None + | Some a -> op a +``` + +The monadic compose operator would enable us to compose those two into +an identity function without having to write any additional code: + +```ocaml +let ( >=> ) f g x = + f x >>= fun y -> + g y + +let id : int -> int option = inc >=> dec +``` + +Using the compose operator, there is a much cleaner formulation of the monad +laws: + +* **Law 1:** `return >=> f` behaves the same as `f`. + +* **Law 2:** `f >=> return` behaves the same as `f`. + +* **Law 3:** `(f >=> g) >=> h` behaves the same as `f >=> (g >=> h)`. + +In that formulation, it becomes immediately clear that `return` is a left and +right identity, and that composition is associative. diff --git a/data/tutorials/language/5rt_00_memory_representation.md b/data/tutorials/language/5rt_00_memory_representation.md new file mode 100644 index 0000000000..7ab8ce15f9 --- /dev/null +++ b/data/tutorials/language/5rt_00_memory_representation.md @@ -0,0 +1,576 @@ +--- +id: memory-representation +title: Memory Representation of Values +description: > + Memory Representation of Values, excerpt from Real World OCaml +category: "Runtime & Compiler" +external_tutorial: + tag: "RWO" + banner: + image: "tutorials/rwo_banner.png" + url: https://dev.realworldocaml.org/ + alt: "Real World OCaml" + contribute_link: + url: https://github.com/realworldocaml/book/blob/master/book/runtime-memory-layout/README.md + description: "You are encouraged to contribute to the original sources of this page at the Real World OCaml GitHub repository." +--- + +This is an adaptation of the chapter [Memory Representation of Values](https://dev.realworldocaml.org/runtime-memory-layout.html) from the book [Real World OCaml](https://dev.realworldocaml.org/), reproduced here with permission. + +# Memory Representation of Values + +This document covers the precise mapping from OCaml types to runtime values +and walks you through them via the toplevel. The internal runtime representation of OCaml +values in memory is relevant + +* when you want to interface with +code written in other programming languages, e.g. C, Rust, and others, +* when using various external system tools that operate on OCaml binaries, +such as profiling tools and debuggers + +The OCaml toolchain is very predictable. The compiler minimizes the +amount of optimization magic that it performs, and relies instead on its +straightforward execution model for good performance. With some experience, +you can know rather precisely where a block of performance-critical OCaml +code is spending its time. + +At the end of this document, you will be able to translate between OCaml +values and their memory representation. + +**Prerequisites:** [Basic Data Types and Pattern Matching](/docs/basic-data-types) + +## OCaml Types Disappear at Runtime + +The OCaml compiler runs through several phases during the compilation +process. The first phase is syntax checking, during which source files are +parsed into abstract syntax trees (ASTs). The next stage is a *type checking* +pass over the AST. In a validly typed program, a function cannot be applied +with an unexpected type. For example, the `print_endline` function must +receive a single `string` argument, and an `int` will result in a type error. + +Since OCaml verifies these properties at compile time, it doesn't need to +keep track of as much information at runtime. Thus, later stages of the +compiler can discard and simplify the type declarations to a much more +minimal subset that's actually required to distinguish polymorphic values at +runtime. This is a major performance win versus something like a Java or .NET +method call, where the runtime must look up the concrete instance of the +object and dispatch the method call. Those languages amortize some of the +cost via "Just-in-Time" dynamic patching, but OCaml prefers runtime +simplicity instead. + +We'll explain this compilation pipeline in more detail in +[The Compiler Frontend: Parsing And Type Checking](/docs/compiler-frontend){data-type=xref} +and +[The Compiler Backend: Byte Code And Native Code](/docs/compiler-backend){data-type=xref}. +--> + + +We'll cover how these values are +managed by the runtime later on in +[Understanding The Garbage Collector](/docs/garbage-collector){data-type=xref}. + +## OCaml Blocks and Values + +A running OCaml program uses blocks of memory (i.e., contiguous sequences of +words in RAM) to represent values such as tuples, records, closures, or +arrays. An OCaml program implicitly allocates a block of memory when such a +value is created: + +```ocaml env=simple_record +# type t = { foo: int; bar: int };; +type t = { foo : int; bar : int; } +# let x = { foo = 13; bar = 14 };; +val x : t = {foo = 13; bar = 14} +``` + +The type declaration `t` doesn't take up any memory at runtime, but the +subsequent `let` binding allocates a new block of memory with two words of +available space. One word holds the `foo` field, and the other word holds the +`bar` field. The OCaml compiler translates such an expression into an +explicit allocation for the block from OCaml's runtime system. + +OCaml uses a uniform memory representation in which every OCaml variable is +stored as a *value*. An OCaml value is a single memory word that is either an +immediate integer or a pointer to some other memory. The OCaml runtime tracks +all values so that it can free them when they are no longer needed. It thus +needs to be able to distinguish between integer and pointer values, since it +scans pointers to find further values but doesn't follow integers that don't +point to anything meaningful beyond their immediate value. + +### Distinguishing Integers and Pointers at Runtime {#distinguishing-integer-and-pointers-at-runtime} + +Wrapping primitive types (such as integers) inside another data +structure that records extra metadata about the value is known as +*boxing*. Values are boxed in order to make it easier for the garbage +collector (GC) to do its job, but at the expense of an extra level of +indirection to access the data within the boxed value. + +OCaml values don't all have to be boxed at runtime. Instead, values +use a single tag bit per word to distinguish integers and pointers at +runtime. The value is an integer if the lowest bit of the block word +is nonzero, and a pointer if the lowest bit of the block word is +zero. Several OCaml types map onto this integer representation, +including `bool`, `int`, the empty list, and `unit`. Some types, like +variants, sometimes use this integer representation and sometimes +don't. In particular, for variants, constant constructors, i.e., +constructors with no arguments like `None`, are represented as +integers, but constructors like `Some` that carry associated values +are boxed. + +This representation means that integers are unboxed runtime values in OCaml +so that they can be stored directly without having to allocate a wrapper +block. They can be passed directly to other function calls in registers and +are generally the cheapest and fastest values to use in OCaml. + +A value is treated as a memory pointer if its lowest bit is zero. A pointer +value can still be stored unmodified despite this, since pointers are +guaranteed to be word-aligned (with the bottom bits always being zero). + +The only problem that remains with this memory representation is +distinguishing between pointers to OCaml values (which should be followed by +the GC) and pointers into the system heap to C values (which shouldn't be +followed). + +The mechanism for this is simple, since the runtime system keeps track of the +heap blocks it has allocated for OCaml values. If the pointer is inside a +heap chunk that is marked as being managed by the OCaml runtime, it is +assumed to point to an OCaml value. If it points outside the OCaml runtime +area, it is treated as an opaque C pointer to some other system resource. + +#### Some History About OCaml's Word-Aligned Pointers + +The alert reader may be wondering how OCaml can guarantee that all of its +pointers are word-aligned. In the old days, when RISC chips such as Sparc, +MIPS, and Alpha were commonplace, unaligned memory accesses were forbidden by +the instruction set architecture and would result in a CPU exception that +terminated the program. Thus, all pointers were historically rounded off to +the architecture word size (usually 32 or 64 bits). + +Modern CISC processors such as the Intel x86 do support unaligned memory +accesses, but the chip still runs faster if accesses are word-aligned. OCaml +therefore simply mandates that all pointers be word-aligned, which guarantees +that the bottom few bits of any valid pointer will be zero. Setting the +bottom bit to a nonzero value is a simple way to mark an integer, at the cost +of losing that single bit of precision. + +An even more alert reader will be wondering about the performance +implications are for integer arithmetic using this tagged representation. +Since the bottom bit is set, any operation on the integer has to shift the +bottom bit right to recover the "native" value. The native code OCaml +compiler generates efficient x86 assembly code in this case, taking advantage +of modern processor instructions to hide the extra shifts where possible. +Addition is a single `LEA` x86 instruction, subtraction can be two +instructions, and multiplication is only a few more. + + +## Blocks and Values + +An OCaml *block* is the basic unit of allocation on the heap. A block +consists of a one-word header (either 32 or 64 bits depending on the CPU +architecture) followed by variable-length data that is either opaque bytes or +an array of *fields*. The header has a multipurpose tag byte that defines +whether to interpret the subsequent data as opaque bytes or OCaml fields. + +The GC never inspects opaque bytes. If the tag indicates an array of OCaml +fields are present, their contents are all treated as more valid OCaml +values. The GC always inspects fields and follows them as part of the +collection process described earlier. + + ![Memory representation of a block](/media/tutorials/language/runtime-memory-layout/block.png "Memory representation of a block") + +The `size` field records the length of the block in memory words. This is 22 +bits on 32-bit platforms, which is the reason OCaml strings are limited to 16 +MB on that architecture. If you need bigger strings, either switch to a +64-bit host, or use the `Bigarray` module. + +The 2-bit `color` field is used by the GC to keep track of its state during +mark-and-sweep collection. +We'll come back to this field in +[Understanding The Garbage Collector](/docs/garbage-collector){data-type=xref}. +This tag isn't exposed to OCaml source code in any case. + +A block's tag byte is multipurpose, and indicates whether the data array +represents opaque bytes or fields. If a block's tag is greater than or equal +to `No_scan_tag` (251), then the block's data are all opaque bytes, and are +not scanned by the collector. The most common such block is the `string` +type, which we describe in more detail later in this chapter. + +The exact representation of values inside a block depends on their static +OCaml type. All OCaml types are distilled down into `values`, and summarized below. + +- `int` or `char` are stored directly as a value, shifted left by 1 + bit, with the least significant bit set to 1. + +- `unit`, `[]`, `false` are all stored as OCaml `int` 0. + +- `true` is stored as OCaml `int` 1. + +- `Foo | Bar` variants are stored as ascending OCaml `int`s, starting + from 0. + +- `Foo | Bar of int` variants with parameters are boxed, while + variants with no parameters are unboxed. + +- Polymorphic variants with parameters are boxed with an extra + header word to store the value, as compared to normal variants. + Polymorphic variants with no parameters are unboxed. + +- Floating-point numbers are stored as a block with a single field + containing the double-precision float. + +- Strings are word-aligned byte arrays with an explicit length. + +- `[1; 2; 3]` lists are stored as `1::2::3::[]` where `[]` is an int, + and `h::t` a block with tag 0 and two parameters. + +- Tuples, records, and arrays are stored as a C array of + values. Arrays can be variable size, but tuples and records are + fixed-size. + +- Records or arrays that are all float use a special tag for unboxed + arrays of floats, or records that only have `float` fields. + +### Integers, Characters, and Other Basic Types + +Many basic types are efficiently stored as unboxed integers at runtime. The +native `int` type is the most obvious, although it drops a single bit of +precision due to the tag bit. Other atomic types such as `unit` and the empty +list `[]` value are stored as constant integers. Boolean values have a value +of `1` and `0` for `true` and `false`, respectively. + +These basic types such as empty lists and `unit` are very efficient to use, +since integers are never allocated on the heap. They can be passed directly +in registers and not appear on the stack if you don't have too many +parameters to your functions. Modern architectures such as `x86_64` have a +lot of spare registers to further improve the efficiency of using unboxed +integers. + + +## Tuples, Records, and Arrays + +![](/media/tutorials/language/runtime-memory-layout/tuple_layout.png "Tuple Layout") + + +Tuples, records, and arrays are all represented identically at runtime as a +block with tag `0`. Tuples and records have constant sizes determined at +compile time, whereas arrays can be of variable length. While arrays are +restricted to containing a single type of element in the OCaml type system, +this is not required by the memory representation. + +You can check the difference between a block and a direct integer yourself +using the `Obj` module, which exposes the internal representation of values +to OCaml code: + +```ocaml env=reprs +# Obj.is_block (Obj.repr (1,2,3));; +- : bool = true +# Obj.is_block (Obj.repr 1);; +- : bool = false +``` + +The `Obj.repr` function retrieves the runtime representation of any OCaml +value. `Obj.is_block` checks the bottom bit to determine if the value is a +block header or an unboxed integer. + +### Floating-Point Numbers and Arrays + +Floating-point numbers in OCaml are always stored as full, double-precision +values. Individual floating-point values are stored as a block with a single +field that contains the number. This block has the `Double_tag` set, which +signals to the collector that the floating-point value is not to be scanned: + +```ocaml env=reprs +# Obj.tag (Obj.repr 1.0);; +- : int = 253 +# Obj.double_tag;; +- : int = 253 +``` + +Since each floating-point value is boxed in a separate memory block, +it can be inefficient to handle large arrays of floats in comparison +to unboxed integers. OCaml therefore special-cases records or arrays +that contain *only* `float` types. These are stored in a block that +contains the floats packed directly in the data section, with +`Double_array_tag` set to signal to the collector that the contents +are not OCaml values. + + +![](/media/tutorials/language/runtime-memory-layout/float_array_layout.png "Float array layout") + +First, let's check that float arrays do in fact have a different tag number +from normal floating-point values: + +```ocaml env=reprs +# Obj.double_tag;; +- : int = 253 +# Obj.double_array_tag;; +- : int = 254 +``` + +This tells us that float arrays have a tag value of 254. Now let's test some +sample values using the `Obj.tag` function to check that the allocated block +has the expected runtime tag, and also use `Obj.double_field` to retrieve a +float from within the block: + +```ocaml env=reprs +# Obj.tag (Obj.repr [| 1.0; 2.0; 3.0 |]);; +- : int = 254 +# Obj.tag (Obj.repr (1.0, 2.0, 3.0) );; +- : int = 0 +# Obj.double_field (Obj.repr [| 1.1; 2.2; 3.3 |]) 1;; +- : float = 2.2 +# Obj.double_field (Obj.repr 1.234) 0;; +- : float = 1.234 +``` + +The first thing we tested was that a float array has the correct unboxed +float array tag value (254). However, the next line tests a tuple of +floating-point values instead, which are *not* optimized in the same way and +have the normal tuple tag value (0). + +Only records and arrays can have the float array optimization, and for +records, every single field must be a float. + + +## Variants and Lists + +Basic variant types with no extra parameters for any of their branches are +simply stored as an OCaml integer, starting with `0` for the first option and +in ascending order: + +```ocaml env=reprs +# type t = Apple | Orange | Pear;; +type t = Apple | Orange | Pear +# ((Obj.magic (Obj.repr Apple)) : int);; +- : int = 0 +# ((Obj.magic (Obj.repr Pear)) : int);; +- : int = 2 +# Obj.is_block (Obj.repr Apple);; +- : bool = false +``` + +`Obj.magic` unsafely forces a type cast between any two OCaml types; in this +example, the `int` type hint retrieves the runtime integer value. The +`Obj.is_block` confirms that the value isn't a more complex block, but just +an OCaml `int`. + +Variants that have parameters are a little more complex. They are +stored as blocks, with the value *tags* ascending from 0 (counting from +leftmost variants with parameters). The parameters are stored as words in the +block: + +```ocaml env=reprs +# type t = Apple | Orange of int | Pear of string | Kiwi;; +type t = Apple | Orange of int | Pear of string | Kiwi +# Obj.is_block (Obj.repr (Orange 1234));; +- : bool = true +# Obj.tag (Obj.repr (Orange 1234));; +- : int = 0 +# Obj.tag (Obj.repr (Pear "xyz"));; +- : int = 1 +# (Obj.magic (Obj.field (Obj.repr (Orange 1234)) 0) : int);; +- : int = 1234 +# (Obj.magic (Obj.field (Obj.repr (Pear "xyz")) 0) : string);; +- : string = "xyz" +``` + +In the preceding example, the `Apple` and `Kiwi` values are still stored as +normal OCaml integers with values `0` and `1`, respectively. The `Orange` and +`Pear` values both have parameters and are stored as blocks whose tags ascend +from `0` (and so `Pear` has a tag of `1`, as the use of `Obj.tag` verifies). +Finally, the parameters are fields that contain OCaml values within the +block, and `Obj.field` can be used to retrieve them. + +Lists are stored with a representation that is exactly the same as if the +list was written as a variant type with `Nil` and `Cons`. The empty list +`[]` is an integer `0`, and subsequent blocks have tag `0` and two +parameters: a block with the current value, and a pointer to the rest of the +list. + +### Obj Module Considered Harmful + +`Obj` is an undocumented module that exposes the internals of the OCaml +compiler and runtime. It is very useful for examining and understanding how +your code will behave at runtime but should *never* be used for production +code unless you understand the implications. The module bypasses the OCaml +type system, making memory corruption and segmentation faults possible. + +Some theorem provers such as Coq do output code that uses `Obj` internally, +but the external module signatures never expose it. Unless you too have a +machine proof of correctness to accompany your use of `Obj`, stay away from +it except for debugging! + +Due to this encoding, there is a limit around 240 variants with parameters +that applies to each type definition, but the only limit on the number of +variants without parameters is the size of the native integer (either 31 or +63 bits). This limit arises because of the size of the tag byte, and that +some of the high-numbered tags are reserved. + +## Polymorphic Variants {#polymorphic-variants-1} + + +Polymorphic variants are more flexible than normal variants when writing code +but are slightly less efficient at runtime. This is because there isn't as +much static compile-time information available to optimize their memory +layout. + +A polymorphic variant without any parameters is stored as an unboxed integer +and so only takes up one word of memory, just like a normal variant. This +integer value is determined by applying a hash function to the *name* of the +variant. The hash function is exposed via the `compiler-libs` package that +reveals some of the internals of the OCaml compiler: + +```ocaml env=reprs +# #require "ocaml-compiler-libs.common";; +# Btype.hash_variant "Foo";; +- : int = 3505894 +# (Obj.magic (Obj.repr `Foo) : int);; +- : int = 3505894 +``` + +The hash function is designed to give the same results on 32-bit and 64-bit +architectures, so the memory representation is stable across different CPUs +and host types. + +Polymorphic variants use more memory space than normal variants when +parameters are included in the data type constructors. Normal variants use +the tag byte to encode the variant value and save the fields for the +contents, but this single byte is insufficient to encode the hashed value for +polymorphic variants. They must allocate a new block (with tag `0`) and store +the value in there instead. Polymorphic variants with constructors thus use +one word of memory more than normal variant constructors. + +Another inefficiency over normal variants is when a polymorphic variant +constructor has more than one parameter. Normal variants hold parameters as a +single flat block with multiple fields for each entry, but polymorphic +variants must adopt a more flexible uniform memory representation, since they +may be reused in a different context across compilation units. They allocate +a tuple block for the parameters that is pointed to from the argument field +of the variant. There are thus three additional words for such variants, +along with an extra memory indirection due to the tuple. + +The extra space usage is generally not significant in a typical application, +and polymorphic variants offer a great deal more flexibility than normal +variants. However, if you're writing code that demands high performance or +must run within tight memory bounds, the runtime layout is at least very +predictable. The OCaml compiler never switches memory representation due to +optimization passes. This lets you predict the precise runtime layout by +referring to these guidelines and your source code. + +## String Values + +OCaml `string`s (and their mutable cousins, `bytes`) are standard +OCaml blocks with the header size defining the size of the string in +machine words. The `String_tag` (252) is higher than the +`No_scan_tag`, indicating that the contents of the block are opaque to +the collector. The block contents are the contents of the string, with +padding bytes to align the block on a word boundary. + +![](/media/tutorials/language/runtime-memory-layout/string_block.png "String block layout") + +On a 32-bit machine, the padding is calculated based on the modulo of the +string length and word size to ensure the result is word-aligned. A 64-bit +machine extends the potential padding up to 7 bytes instead of 3. +Given a string length modulo 4: + +- `0` has padding `00 00 00 03` +- `1` has padding `00 00 02` +- `2` has padding `00 01` +- `3` has padding `00` + +This string representation is a clever way to ensure that the contents +are always zero-terminated by the padding word and to still compute +its length efficiently without scanning the whole string. The +following formula is used: + +``` +number_of_words_in_block * sizeof(word) - last_byte_of_block - 1 +``` + +The guaranteed `NULL` termination comes in handy when passing a string to C, +but is not relied upon to compute the length from OCaml code. OCaml strings +can thus contain `NULL` bytes at any point within the string. + +Care should be taken that any C library functions that receive these buffers +can also cope with arbitrary bytes within the buffer contents and are not +expecting C strings. For instance, the C `memcopy` or `memmove` standard +library functions can operate on arbitrary data, but `strlen` or `strcpy` +both require a `NULL`-terminated buffer, and neither has a mechanism for +encoding a `NULL` value within its contents. + +## Custom Heap Blocks + +OCaml supports *custom* heap blocks via a `Custom_tag` that lets the runtime +perform user-defined operations over OCaml values. A custom block lives in +the OCaml heap like an ordinary block and can be of whatever size the user +desires. The `Custom_tag` (255) is higher than `No_scan_tag` and so isn't +scanned by the GC. + +The first word of the data within the custom block is a C pointer to a +`struct` of custom operations. The custom block cannot have pointers to OCaml +blocks and is opaque to the GC: + +``` +struct custom_operations { + char *identifier; + void (*finalize)(value v); + int (*compare)(value v1, value v2); + intnat (*hash)(value v); + void (*serialize)(value v, + /*out*/ uintnat * wsize_32 /*size in bytes*/, + /*out*/ uintnat * wsize_64 /*size in bytes*/); + uintnat (*deserialize)(void * dst); + int (*compare_ext)(value v1, value v2); +}; +``` + +The custom operations specify how the runtime should perform polymorphic +comparison, hashing and binary marshaling. They also optionally contain a +*finalizer* that the runtime calls just before the block is +garbage-collected. This finalizer has nothing to do with ordinary OCaml +finalizers (as created by `Gc.finalize` and explained in +[Understanding The Garbage Collector](/docs/garbage-collector){data-type=xref}). +They are instead used to call C cleanup functions such as `free`. + +### Managing External Memory with Bigarray + +A common use of custom blocks is to manage external system memory directly +from within OCaml. The Bigarray interface was originally intended to exchange +data with Fortran code, and maps a block of system memory as a +multidimensional array that can be accessed from OCaml. Bigarray operations +work directly on the external memory without requiring it to be copied into +the OCaml heap (which is a potentially expensive operation for large arrays). + +Bigarray sees a lot of use beyond just scientific computing, and several Core +libraries use it for general-purpose I/O: + +`Iobuf` +: The `Iobuf` module maps I/O buffers as a one-dimensional array of bytes. It + provides a sliding window interface that lets consumer processes read from + the buffer while it's being filled by producers. This lets OCaml use I/O + buffers that have been externally allocated by the operating system without + any extra data copying. + +`Bigstring` +: The `Bigstring` module provides a `String`-like interface that uses + `Bigarray` internally. The `Bigbuffer` collects these into extensible + string buffers that can operate entirely on external system memory. + +The [Lacaml](http://mmottl.github.io/lacaml/) library isn't part of Core but +provides the recommended interfaces to the widely used BLAS and LAPACK +mathematical Fortran libraries. These allow developers to write +high-performance numerical code for applications that require linear algebra. +It supports large vectors and matrices, but with static typing safety of +OCaml to make it easier to write safe algorithms. + +## Conclusion + +We covered the precise mapping from OCaml types to their internal runtime +representation in memory, which should enable you to better understand the +output of various debugging and profiling tools, as well as how to +integrate your OCaml code with code from other languages. + +Other recommended tutorials: + +1. [Understanding the Garbage Collector](/docs/garbage-collector) +1. [Calling C Libraries](/docs/calling-c-libraries) \ No newline at end of file diff --git a/data/tutorials/language/5rt_01_garbage-collector.md b/data/tutorials/language/5rt_01_garbage-collector.md new file mode 100644 index 0000000000..26fe1976c2 --- /dev/null +++ b/data/tutorials/language/5rt_01_garbage-collector.md @@ -0,0 +1,677 @@ +--- +id: garbage-collector +title: Understanding the Garbage Collector +description: > + Understanding the Garbage Collector, excerpt from Real World OCaml +category: "Runtime & Compiler" +external_tutorial: + tag: "RWO" + banner: + image: "tutorials/rwo_banner.png" + url: https://dev.realworldocaml.org/ + alt: "Real World OCaml" + contribute_link: + url: https://github.com/realworldocaml/book/blob/master/book/garbage-collector/README.md + description: "You are encouraged to contribute to the original sources of this page at the Real World OCaml GitHub repository." +--- + +This is an adaptation of the chapter [Understanding the Garbage Collector](https://dev.realworldocaml.org/garbage-collector.html) from the book [Real World OCaml](https://dev.realworldocaml.org/), reproduced here with permission. + + +# Understanding the Garbage Collector + +*This chapter includes contributions from Stephen Weeks and Sadiq Jaffer.* + +We've described the runtime format of individual OCaml variables earlier, in +[Memory Representation Of Values](/docs/runtime-memory-layoutl#memory-representation-of-values){data-type=xref}. +When you execute your program, OCaml manages the lifecycle of these variables +by regularly scanning allocated values and freeing them when they're no +longer needed. This in turn means that your applications don't need to +manually implement memory management, and it greatly reduces the likelihood +of memory leaks creeping into your code. + +The OCaml runtime is a C library that provides routines that can be called +from running OCaml programs. The runtime manages a *heap*, which is a +collection of memory regions that it obtains from the operating system. The +runtime uses this memory to hold *heap blocks* that it fills up with OCaml +values in response to allocation requests by the OCaml program. + +## Mark and Sweep Garbage Collection + +When there isn't enough memory available to satisfy an allocation request +from the pool of allocated heap blocks, the runtime system invokes the +garbage collector (GC). An OCaml program can't explicitly free a value when +it is done with it. Instead, the GC regularly determines which values are +*live* and which values are *dead*, i.e., no longer in use. Dead values are +collected and their memory made available for reuse by the application. + +The GC doesn't keep constant track of values as they are allocated and used. +Instead, it regularly scans them by starting from a set of *root* values that +the application always has access to (such as the stack). The GC maintains a +directed graph in which heap blocks are nodes, and there is an edge from heap +block `b1` to heap block `b2` if some field of `b1` is a pointer to `b2`. + +All blocks reachable from the roots by following edges in the graph must be +retained, and unreachable blocks can be reused by the application. The +algorithm used by OCaml to perform this heap traversal is commonly known as +*mark and sweep* garbage collection, and we'll explain it further now. + +## Generational Garbage Collection + +The usual OCaml programming style involves allocating many small +values that are used for a short period of time and then never +accessed again. OCaml takes advantage of this fact to improve +performance by using a *generational* GC. + +A generational GC maintains separate memory regions to hold blocks based on +how long the blocks have been live. OCaml's heap is split into two such +regions: + +- A small, fixed-size *minor heap* where most blocks are initially allocated + +- A larger, variable-size *major heap* for blocks that have been live longer + +A typical functional programming style means that young blocks tend to +die young and old blocks tend to stay around for longer than young +ones. This is often referred to as the *generational +hypothesis*. + +OCaml uses different memory layouts and garbage-collection algorithms for the +major and minor heaps to account for this generational difference. We'll +explain how they differ in more detail next. + +
+ +#### The Gc Module and OCAMLRUNPARAM + +OCaml provides several mechanisms to query and alter the behavior of +the runtime system. The `Gc` module provides this functionality from +within OCaml code, and we'll frequently refer to it in the rest of the +chapter. As with several other standard library modules, Core alters +the `Gc` interface from the standard OCaml library. We'll assume that +you've opened `Core` in our explanations. + +You can also control the behavior of OCaml programs by setting the +`OCAMLRUNPARAM` environment variable before launching your application. This +lets you set GC parameters without recompiling, for example to benchmark the +effects of different settings. The format of `OCAMLRUNPARAM` is documented in +the +[OCaml manual](https://ocaml.org/manual/runtime.html). +
+ +## The Fast Minor Heap + +The minor heap is where most of your short-lived values are held. It consists +of one contiguous chunk of virtual memory containing a sequence of OCaml +blocks. If there is space, allocating a new block is a fast, constant-time +operation that requires just a couple of CPU instructions. + +To garbage-collect the minor heap, OCaml uses *copying collection* to +move all live blocks in the minor heap to the major heap. This takes +work proportional to the number of live blocks in the minor heap, +which is typically small according to the generational hypothesis. In +general, the garbage collector *stops the world* (that is, halts the +application) while it runs, which is why it's so important that it +complete quickly to let the application resume running with minimal +interruption. + +### Allocating on the Minor Heap + +The minor heap is a contiguous chunk of virtual memory that is usually a few +megabytes in size so that it can be scanned quickly. + +![](/media/tutorials/language/garbage-collector/minor_heap.png "Minor GC heap") + +The runtime stores the boundaries of the minor heap in two pointers that +delimit the start and end of the heap region (`caml_young_start` and +`caml_young_end`, but we will drop the `caml_young` prefix for brevity). The +`base` is the memory address returned by the system `malloc`, and `start` is +aligned against the next nearest word boundary from `base` to make it easier +to store OCaml values. + +In a fresh minor heap, the `limit` equals the `start`, and the current +`ptr` will equal the `end`. `ptr` decreases as blocks are allocated until it +reaches `limit`, at which point a minor garbage collection is triggered. + +Allocating a block in the minor heap just requires `ptr` to be decremented by +the size of the block (including the header) and a check that it's not less +than `limit`. If there isn't enough space left for the block without +decrementing past `limit`, a minor garbage collection is triggered. This is a +very fast check (with no branching) on most CPU architectures. + +#### Understanding Allocation + +You may wonder why `limit` is required at all, since it always seems +to equal `start`. It's because the easiest way for the runtime to +schedule a minor heap collection is by setting `limit` to equal +`end`. The next allocation will never have enough space after this is +done and will always trigger a garbage collection. There are various +internal reasons for such early collections, such as handling pending +UNIX signals, but they don't ordinarily matter for application code. + +It is possible to write loops or recurse in a way that may take a long time +to do an allocation - if at all. To ensure that UNIX signals and other +internal bookkeeping that require interrupting the running OCaml program +still happen the compiler introduces *poll points* into generated native code. + +These poll points check `ptr` against `limit` and developers should expect +them to be placed at the start of every function and the back edge of loops. +The compiler includes a dataflow pass that removes all but the minimum set +of points necessary to ensure these checks happen in a bounded amount of time. + +
+ +#### Setting the Size of the Minor Heap + +The default minor heap size in OCaml is normally 2 MB on 64-bit platforms, +but this is increased to 8 MB if you use Core (which generally prefers +default settings that improve performance, but at the cost of a bigger memory +profile). This setting can be overridden via the `s=` argument to +`OCAMLRUNPARAM`. You can change it after the program has started by calling +the `Gc.set` function: + + +```ocaml env=tune +# open Core;; +# let c = Gc.get ();; +val c : Gc.Control.t = + {Core.Gc.Control.minor_heap_size = 262144; major_heap_increment = 15; + space_overhead = 120; verbose = 0; max_overhead = 500; + stack_limit = 1048576; allocation_policy = 2; window_size = 1; + custom_major_ratio = 44; custom_minor_ratio = 100; + custom_minor_max_size = 8192} +# Gc.tune ~minor_heap_size:(262144 * 2) ();; +- : unit = () +``` + +Changing the GC size dynamically will trigger an immediate minor heap +collection. Note that Core increases the default minor heap size from the +standard OCaml installation quite significantly, and you'll want to reduce +this if running in very memory-constrained environments. +
+ +## The Long-Lived Major Heap + +The major heap is where the bulk of the longer-lived and larger values in +your program are stored. It consists of any number of noncontiguous chunks of +virtual memory, each containing live blocks interspersed with regions of free +memory. The runtime system maintains a free-list data structure that indexes +all the free memory that it has allocated, and uses it to satisfy allocation +requests for OCaml blocks. + +The major heap is typically much larger than the minor heap and can scale to +gigabytes in size. It is cleaned via a mark-and-sweep garbage collection +algorithm that operates in several phases: + +- The *mark* phase scans the block graph and marks all live blocks by setting + a bit in the tag of the block header (known as the *color* tag). + +- The *sweep* phase sequentially scans the heap chunks and identifies dead + blocks that weren't marked earlier. + +- The *compact* phase relocates live blocks into a freshly allocated heap to + eliminate gaps in the free list. This prevents the fragmentation of heap + blocks in long-running programs and normally occurs much less frequently + than the mark and sweep phases. + +A major garbage collection must also stop the world to ensure that blocks can +be moved around without this being observed by the live application. The +mark-and-sweep phases run incrementally over slices of the heap to avoid +pausing the application for long periods +of time, and also precede each slice with a fast minor collection. Only the +compaction phase touches all the memory in one go, and is a relatively rare +operation. + +### Allocating on the Major Heap + +The major heap consists of a singly linked list of contiguous memory chunks +sorted in increasing order of virtual address. Each chunk is a single memory +region allocated via *malloc(3)* and consists of a header and data area which +contains OCaml heap chunks. A heap chunk header contains: + +- The *malloc*ed virtual address of the memory region containing the chunk + +- The size in bytes of the data area + +- An allocation size in bytes used during heap compaction to merge small + blocks to defragment the heap + +- A link to the next heap chunk in the list + +- A pointer to the start and end of the range of blocks that may contain + unexamined fields and need to be scanned later. Only used after mark stack + overflow. + +Each chunk's data area starts on a page boundary, and its size is a multiple +of the page size (4 KB). It contains a contiguous sequence of heap blocks +that can be as small as one or two 4 KB pages, but are usually allocated in 1 +MB chunks (or 512 KB on 32-bit architectures). + +#### Controlling the Major Heap Increment + +The `Gc` module uses the `major_heap_increment` value to control the +major heap growth. This defines the number of words to add to the +major heap per expansion and is the only memory allocation operation +that the operating system observes from the OCaml runtime after +initial startup (since the minor is fixed in size). + +Allocating an OCaml value on the major heap first checks the free list +of blocks for a suitable region to place it. If there isn't enough +room on the free list, the runtime expands the major heap by +allocating a fresh heap chunk that will be large enough. That chunk is +then added to the free list, and the free list is checked again (and +this time will definitely succeed). + +Older versions of OCaml required setting a fixed number of bytes for +the major heap increment. That was a value that was tricky to get +right: too small of a value could lead to lots of smaller heap chunks +spread across different regions of virtual memory that require more +housekeeping in the OCaml runtime to keep track of them; too large of +a value can waste memory for programs with small heaps. + +You can use `Gc.tune` to set that value, but the values are a little +counter-intuitive, for backwards-compatibility reasons. Values under +1000 are interpreted as percentages, and the default is 15%. Values +1000 and over are treated as a raw number of bytes. But most of the +time, you won't set the value at all. + +### Memory Allocation Strategies + +The major heap does its best to manage memory allocation as efficiently as +possible and relies on heap compaction to ensure that memory stays contiguous +and unfragmented. The default allocation policy normally works fine for most +applications, but it's worth bearing in mind that there are other options, +too. + +The free list of blocks is always checked first when allocating a new block +in the major heap. The default free list search is called +*best-fit allocation*, with alternatives *next-fit* and *first-fit* algorithms +also available. + +#### Best-Fit Allocation + +The best-fit allocator is a combination of two strategies. The first, +size-segregated free lists, is based on the observation that nearly all +major heap allocations in OCaml are small (consider list elements and tuples +which are only a couple of machine words). Best fit keeps separate free lists +for sizes up to and including 16 words which gives a fast path for most +allocations. Allocations for these sizes can be serviced from their segregated +free lists or, if they are empty, from the next size with a space. + +The second strategy, for larger allocations, is the use of a specialized data +structure known as a _splay tree_ for the free list. This is a type of search +tree that adapts to recent access patterns. For our use this means that the +most commonly requested allocation sizes are the quickest to access. + +Small allocations, when there are no larger sizes available in the segregated +free lists, and large allocations greater than sixteen words are serviced from +the main free list. The free list is queried for the smallest block that is +at least as large as the allocation requested. + +Best-fit allocation is the default allocation mechanism. It represents a good +trade-off between the allocation cost (in terms of CPU work) and heap +fragmentation. + +#### Next-Fit Allocation + +Next-fit allocation keeps a pointer to the block in the free list that was +most recently used to satisfy a request. When a new request comes in, the +allocator searches from the next block to the end of the free list, and then +from the beginning of the free list up to that block. + +Next-fit allocation is quite a cheap +allocation mechanism, since the same heap chunk can be reused across +allocation requests until it runs out. This in turn means that there is good +memory locality to use CPU caches better. The big downside of next-fit is +that since most allocations are small, large blocks at the start of the +free list become heavily fragmented. + +#### First-Fit Allocation + +If your program allocates values of many varied sizes, you may sometimes find +that your free list becomes fragmented. In this situation, the GC is forced +to perform an expensive compaction despite there being free chunks, since +none of the chunks alone are big enough to satisfy the request. + +First-fit allocation focuses on reducing memory fragmentation (and hence the +number of compactions), but at the expense of slower memory allocation. Every +allocation scans the free list from the beginning for a suitable free chunk, +instead of reusing the most recent heap chunk as the next-fit allocator does. + +For some workloads that need more real-time behavior under load, the +reduction in the frequency of heap compaction will outweigh the extra +allocation cost. + +#### Controlling the Heap Allocation Policy + +You can set the heap allocation policy by calling `Gc.tune`: + +```ocaml env=main +# Gc.tune ~allocation_policy:First_fit ();; +- : unit = () +``` + +The same behavior can be controlled via an environment variable by +setting `OCAMLRUNPARAM` to `a=0` for next-fit, `a=1` for first-fit, or +`a=2` for best-fit. + +### Marking and Scanning the Heap + +The marking process can take a long time to run over the complete major heap +and has to pause the main application while it's active. It therefore runs +incrementally by marking the heap in *slices*. Each value in the heap has a +2-bit *color* field in its header that is used to store information about +whether the value has been marked so that the GC can resume easily between +slices. + +- Blue: On the free list and not currently in use +- White (during marking): Not reached yet, but possibly reachable +- White (during sweeping): Unreachable and can be freed +- Black: Reachable, and its fields have been scanned + +The color tags in the value headers store most of the state of the marking +process, allowing it to be paused and resumed later. On allocation, all heap +values are initially given the color white indicating they are possibly +reachable but haven't been scanned yet. The GC and application alternate +between marking a slice of the major heap and actually getting on with +executing the program logic. The OCaml runtime calculates a sensible value +for the size of each major heap slice based on the rate of allocation and +available memory. + +The marking process starts with a set of *root* values that are always live +(such as the application stack and globals). These root values have their +color set to black and are pushed on to a specialized data structure known as +the _mark_ stack. Marking proceeds by popping a value from the stack and +examining its fields. Any fields containing white-colored blocks are changed +to black and pushed onto the mark stack. + +This process is repeated until the mark stack is empty and there are no further +values to mark. There's one important edge case in this process, though. The +mark stack can only grow to a certain size, after which the GC can no longer +recurse into intermediate values since it has nowhere to store them while it +follows their fields. This is known as mark stack *overflow* and a process +called _pruning_ begins. Pruning empties the mark stack entirely, summarizing +the addresses of each block as start and end ranges in each heap chunk header. + +Later in the marking process when the mark stack is empty it is replenished by +*redarkening* the heap. This starts at the first heap chunk (by address) that +has blocks needing redarkening (i.e were removed from the mark stack during + a prune) and entries from the redarkening range are added to the mark stack + until it is a quarter full. The emptying and replenishing cycle continues +until there are no heap chunks with ranges left to redarken. + +#### Controlling Major Heap Collections + +You can trigger a single slice of the major GC via the `major_slice` call. +This performs a minor collection first, and then a single slice. The size of +the slice is normally automatically computed by the GC to an appropriate +value and returns this value so that you can modify it in future calls if +necessary: + +```ocaml env=tune +# Gc.major_slice 0;; +- : int = 0 +# Gc.full_major ();; +- : unit = () +``` + +The `space_overhead` setting controls how aggressive the GC is about setting +the slice size to a large size. This represents the proportion of memory used +for live data that will be "wasted" because the GC doesn't immediately +collect unreachable blocks. Core defaults this to `100` to reflect a typical +system that isn't overly memory-constrained. Set this even higher if you have +lots of memory, or lower to cause the GC to work harder and collect blocks +faster at the expense of using more CPU time. + +### Heap Compaction + +After a certain number of major GC cycles have completed, the heap may begin +to be fragmented due to values being deallocated out of order from how they +were allocated. This makes it harder for the GC to find a contiguous block of +memory for fresh allocations, which in turn would require the heap to be +grown unnecessarily. + +The heap compaction cycle avoids this by relocating all the values in the +major heap into a fresh heap that places them all contiguously in memory +again. A naive implementation of the algorithm would require extra memory to +store the new heap, but OCaml performs the compaction in place within the +existing heap. + +
+ +#### Controlling Frequency of Compactions + +The `max_overhead` setting in the `Gc` module defines the connection between +free memory and allocated memory after which compaction is activated. + +A value of `0` triggers a compaction after every major garbage collection +cycle, whereas the maximum value of `1000000` disables heap compaction +completely. The default settings should be fine unless you have unusual +allocation patterns that are causing a higher-than-usual rate of compactions: +
+ +```ocaml env=tune +# Gc.tune ~max_overhead:0 ();; +- : unit = () +``` + +### Intergenerational Pointers {#inter-generational-pointers} + +One complexity of generational collection arises from the fact that minor +heap sweeps are much more frequent than major heap collections. In order to +know which blocks in the minor heap are live, the collector must track which +minor-heap blocks are directly pointed to by major-heap blocks. Without this +information, each minor collection would also require scanning the much +larger major heap. + +OCaml maintains a set of such *intergenerational pointers* to avoid this +dependency between a major and minor heap collection. The compiler introduces +a write barrier to update this so-called *remembered set* whenever a +major-heap block is modified to point at a minor-heap block. + +#### The Mutable Write Barrier + +The write barrier can have profound implications for the structure of your +code. It's one of the reasons using immutable data structures and allocating +a fresh copy with changes can sometimes be faster than mutating a record in +place. + +The OCaml compiler keeps track of any mutable types and adds a call to the +runtime `caml_modify` function before making the change. This checks the +location of the target write and the value it's being changed to, and ensures +that the remembered set is consistent. Although the write barrier is +reasonably efficient, it can sometimes be slower than simply allocating a +fresh value on the fast minor heap and doing some extra minor collections. + +Let's see this for ourselves with a simple test program. You'll need to +install the Core benchmarking suite via `opam install core_bench` before you +compile this code: + +```ocaml file=examples/barrier_bench/barrier_bench.ml +open Core +open Core_bench + +module Mutable = struct + type t = + { mutable iters : int + ; mutable count : float + } + + let rec test t = + if t.iters = 0 + then () + else ( + t.iters <- t.iters - 1; + t.count <- t.count +. 1.0; + test t) +end + +module Immutable = struct + type t = + { iters : int + ; count : float + } + + let rec test t = + if t.iters = 0 + then () + else test { iters = t.iters - 1; count = t.count +. 1.0 } +end + +let () = + let iters = 1_000_000 in + let count = 0.0 in + let tests = + [ Bench.Test.create ~name:"mutable" (fun () -> + Mutable.test { iters; count }) + ; Bench.Test.create ~name:"immutable" (fun () -> + Immutable.test { iters; count }) + ] + in + Bench.make_command tests |> Command_unix.run +``` + +This program defines a type `t1` that is mutable and `t2` that is immutable. +The benchmark loop iterates over both fields and increments a counter. +Compile and execute this with some extra options to show the amount of +garbage collection occurring: + +```sh dir=examples/barrier_bench,non-deterministic=command +$ dune exec -- ./barrier_bench.exe -ascii alloc -quota 1 +Estimated testing time 2s (2 benchmarks x 1s). Change using '-quota'. + + Name Time/Run mWd/Run mjWd/Run Prom/Run Percentage + ----------- ---------- --------- ---------- ---------- ------------ + mutable 5.06ms 2.00Mw 20.61w 20.61w 100.00% + immutable 3.95ms 5.00Mw 95.64w 95.64w 77.98% + +``` + +There is a space/time trade-off here. The mutable version takes longer +to complete than the immutable one but allocates many fewer minor-heap +words than the immutable version. Minor allocation in OCaml is very +fast, and so it is often better to use immutable data structures in +preference to the more conventional mutable versions. On the other +hand, if you only rarely mutate a value, it can be faster to take the +write-barrier hit and not allocate at all. + +The only way to know for sure is to benchmark your program under real-world +scenarios using `Core_bench` and experiment with the trade-offs. The +command-line benchmark binaries have a number of useful options that affect +garbage collection behavior and the output format: + +```sh dir=examples/barrier_bench +$ dune exec -- ./barrier_bench.exe -help +Benchmark for mutable, immutable + + barrier_bench.exe [COLUMN ...] + +Columns that can be specified are: + time - Number of nano secs taken. + cycles - Number of CPU cycles (RDTSC) taken. + alloc - Allocation of major, minor and promoted words. + gc - Show major and minor collections per 1000 runs. + percentage - Relative execution time as a percentage. + speedup - Relative execution cost as a speedup. + samples - Number of samples collected for profiling. +... +``` + +## Attaching Finalizer Functions to Values + +OCaml's automatic memory management guarantees that a value will eventually +be freed when it's no longer in use, either via the GC sweeping it or the +program terminating. It's sometimes useful to run extra code just before a +value is freed by the GC, for example, to check that a file descriptor has +been closed, or that a log message is recorded. + +
+ +#### What Values Can Be Finalized? + +Various values cannot have finalizers attached since they aren't +heap-allocated. Some examples of values that are not heap-allocated are +integers, constant constructors, Booleans, the empty array, the empty list, +and the unit value. The exact list of what is heap-allocated or not is +implementation-dependent, which is why Core provides the `Heap_block` module +to explicitly check before attaching the finalizer. + +Some constant values can be heap-allocated but never deallocated during the +lifetime of the program, for example, a list of integer constants. +`Heap_block` explicitly checks to see if the value is in the major or minor +heap, and rejects most constant values. Compiler optimizations may also +duplicate some immutable values such as floating-point values in arrays. +These may be finalized while another duplicate copy is being used by the +program. +
+ +Core provides a `Heap_block` module that dynamically checks if a given +value is suitable for finalizing. Core keeps the functions for +registering finalizers in the `Core.Gc.Expert` module. Finalizers +can run at any time in any thread, so they can be pretty hard to reason +about in multi-threaded contexts. +Async, which we discussed in [Concurrent Programming with +Async](https://dev.realworldocaml.org/concurrent-programming.html#concurrent-programming-with-async){data-type=xref}, +shadows the `Gc` module with its own module that contains a function, +`Gc.add_finalizer`, which is concurrency-safe. In particular, +finalizers are scheduled in their own Async job, and care is taken by +Async to capture exceptions and raise them to the appropriate monitor +for error-handling. + +Let's explore this with a small example that finalizes values of +different types, all of which are heap-allocated. + +```ocaml file=examples/finalizer/finalizer.ml +open Core +open Async + +let attach_finalizer n v = + match Heap_block.create v with + | None -> printf "%20s: FAIL\n%!" n + | Some hb -> + let final _ = printf "%20s: OK\n%!" n in + Gc.add_finalizer hb final + +type t = { foo : bool } + +let main () = + attach_finalizer "allocated variant" (`Foo (Random.bool ())); + attach_finalizer "allocated string" (Bytes.create 4); + attach_finalizer "allocated record" { foo = Random.bool () }; + Gc.compact (); + return () + +let () = + Command.async + ~summary:"Testing finalizers" + (Command.Param.return main) + |> Command_unix.run +``` + +Building and running this should show the following output: + +```sh dir=examples/finalizer +$ dune exec -- ./finalizer.exe + allocated record: OK + allocated string: OK + allocated variant: OK +``` + +The GC calls the finalization functions in the order of the deallocation. If +several values become unreachable during the same GC cycle, the finalization +functions will be called in the reverse order of the corresponding calls to +`add_finalizer`. Each call to `add_finalizer` adds to the set of functions, +which are run when the value becomes unreachable. You can have many +finalizers all pointing to the same heap block if you wish. + +After a garbage collection determines that a heap block `b` is unreachable, +it removes from the set of finalizers all the functions associated with +`b`, and serially applies each of those functions to `b`. Thus, every +finalizer function attached to `b` will run at most once. However, program +termination will not cause all the finalizers to be run before the runtime +exits. + +The finalizer can use all features of OCaml, including assignments that make +the value reachable again and thus prevent it from being garbage-collected. +It can also loop forever, which will cause other finalizers to be interleaved +with it. diff --git a/data/tutorials/language/5rt_02_compiler_frontend.md b/data/tutorials/language/5rt_02_compiler_frontend.md new file mode 100644 index 0000000000..db24728c18 --- /dev/null +++ b/data/tutorials/language/5rt_02_compiler_frontend.md @@ -0,0 +1,1262 @@ +--- +id: compiler-frontend +title: Compiler Frontend +description: > + The Compiler Frontend: Parsing and Type Checking, excerpt from Real World OCaml +category: "Runtime & Compiler" +external_tutorial: + tag: "RWO" + banner: + image: "tutorials/rwo_banner.png" + url: https://dev.realworldocaml.org/ + alt: "Real World OCaml" + contribute_link: + url: https://github.com/realworldocaml/book/blob/master/book/compiler-frontend/README.md + description: "You are encouraged to contribute to the original sources of this page at the Real World OCaml GitHub repository." +--- + +This is an adaptation of the chapter [The Compiler Frontend: Parsing and Type Checking](https://dev.realworldocaml.org/compiler-frontend.html) from the book [Real World OCaml](https://dev.realworldocaml.org/), reproduced here with permission. + +# The Compiler Frontend: Parsing and Type Checking + +Compiling source code into executable programs involves a fairly +complex set of libraries, linkers, and assemblers. While Dune mostly +hides this complexity from you, it's still useful to understand how +these pieces work so that you can debug performance problems, or come +up with solutions for unusual situations that aren't well handled by +existing tools. + +OCaml has a strong emphasis on static type safety and rejects source +code that doesn't meet its requirements as early as possible. The +compiler does this by running the source code through a series of +checks and transformations. Each stage performs its job (e.g., type +checking, optimization, or code generation) and discards some +information from the previous stage. The final native code output is +low-level assembly code that doesn't know anything about the OCaml +modules or objects that the compiler started with. + +In this chapter, we'll cover the following topics: + +- An overview of the compiler codebase and the compilation pipeline, + and what each stage represents +- Parsing, which goes from raw text to the abstract syntax tree +- PPX's, which further transform the AST +- Type-checking, including module resolution + +The details of the remainder of the compilation process, which gets +all the way to executable code comes next, in [The Compiler Backend: +Byte Code And Native +Code](/docs/compiler-backend#the-compiler-backend-byte-code-and-native-code){data-type=xref}. + +## An Overview of the Toolchain + +The OCaml tools accept textual source code as input, using the filename +extensions `.ml` and `.mli` for modules and signatures, respectively. We +assume you've built a few OCaml programs already by this +point. + +Each source file represents a *compilation unit* that is built separately. +The compiler generates intermediate files with different filename extensions +to use as it advances through the compilation stages. The linker takes a +collection of compiled units and produces a standalone executable or library +archive that can be reused by other applications. + +The overall compilation pipeline looks like this: + +![](/media/tutorials/language/compiler-frontend/pipeline.png "Compilation pipeline") + +Notice that the pipeline branches toward the end. OCaml has multiple compiler +backends that reuse the early stages of compilation but produce very +different final outputs. The *bytecode* can be run by a portable interpreter +and can even be transformed into JavaScript (via +[js_of_ocaml](http://ocsigen.org/js_of_ocaml)) or C source code (via +[OCamlCC](https://github.com/ocaml-bytes/ocamlcc)). The *native code* +compiler generates specialized executable binaries suitable for +high-performance applications. + +### Obtaining the Compiler Source Code + +Although it's not necessary to understand the examples, you may find it +useful to have a copy of the OCaml source tree checked out while you read +through this chapter. The source code is available at the Git repository +with all the history and development branches included, browsable online +at [GitHub](https://github.com/ocaml/ocaml). + +The source tree is split up into subdirectories. The core compiler consists +of: + +`asmcomp/` +: Native-code compiler that converts OCaml into high performance native code executables. + +`bytecomp/` +: Bytecode compiler that converts OCaml into an interpreted executable format. + +`driver/` +: Command-line interfaces for the compiler tools. + +`file_formats/` +: Serializer and deserializers for on-disk files used by the compiler driver. + +`lambda/` +: The lambda conversion pass. + +`middle_end/` +: The clambda, closure and flambda passes. + +`parsing/` +: The OCaml lexer, parser, and libraries for manipulating them. + +`runtime/` +: The runtime library with the garbage collector. + +`typing/` +: The static type checking implementation and type definitions. + +A number of tools and scripts are also built alongside the core compiler: + +`debugger/` +: The interactive bytecode debugger. + +`toplevel/` +: Interactive top-level console. + +`stdlib/` +: The compiler standard library, including the `Pervasives` module. + +`otherlibs/` +: Optional libraries such as the Unix and graphics modules. + +`tools/` +: Command-line utilities such as `ocamldep` that are installed with the + compiler. + +`testsuite/` +: Regression tests for the core compiler. + +We'll go through each of the compilation stages now and explain how they will +be useful to you during day-to-day OCaml development. + +## Parsing Source Code + +When a source file is passed to the OCaml compiler, its first task is to +parse the text into a more structured abstract syntax tree (AST). The parsing +logic is implemented in OCaml itself using the techniques described in +[Parsing With Ocamllex And Menhir](https://dev.realworldocaml.org/parsing-with-ocamllex-and-menhir.html#parsing-with-ocamllex-and-menhir){data-type=xref}. +The lexer and parser rules can be found in the `parsing` directory in the +source distribution. + +### Syntax Errors + +The OCaml parser's goal is to output a well-formed AST data structure +to the next phase of compilation, and so it fails on any source code +that doesn't match basic syntactic requirements. The compiler emits a +*syntax error* in this situation, with a pointer to the filename and +line and character number that's as close to the error as +possible. + +Here's an example syntax error that we obtain by performing a module +assignment as a statement instead of as a `let` binding: + +```ocaml file=examples/front-end/broken_module.ml +let () = + module MyString = String; + () +``` + +The code results in a syntax error when compiled: + +```sh dir=examples/front-end +$ ocamlc -c broken_module.ml +File "broken_module.ml", line 2, characters 2-8: +2 | module MyString = String; + ^^^^^^ +Error: Syntax error +[2] +``` + +The correct version of this source code creates the `MyString` module +correctly via a local open, and compiles successfully: + +```ocaml file=examples/front-end/fixed_module.ml +let () = + let module MyString = String in + () +``` + +The syntax error points to the line and character number of the first token +that couldn't be parsed. In the broken example, the `module` keyword isn't a +valid token at that point in parsing, so the error location information is +correct. + +### Generating Documentation from Interfaces + +Whitespace and source code comments are removed during parsing and aren't +significant in determining the semantics of the program. However, other tools +in the OCaml distribution can interpret comments for their own ends. + +OCaml uses specially formatted comments in the source code to +generate documentation bundles. These comments are combined with the function +definitions and signatures, and output as structured documentation in a +variety of formats. Tools such as `odoc` and `ocamldoc` can generate +HTML pages, LaTeX and PDF documents, UNIX +manual pages, and even module dependency graphs that can be viewed using +[Graphviz](http://www.graphviz.org). + +Here's a sample of some source code that's been annotated with docstring +comments: + +```ocaml file=examples/front-end/doc.ml +(** The first special comment of the file is the comment associated + with the whole module. *) + +(** Comment for exception My_exception. *) +exception My_exception of (int -> int) * int + +(** Comment for type [weather] *) +type weather = + | Rain of int (** The comment for constructor Rain *) + | Sun (** The comment for constructor Sun *) + +(** Find the current weather for a country + @author Anil Madhavapeddy + @param location The country to get the weather for. +*) +let what_is_the_weather_in location = + match location with + | `Cambridge -> Rain 100 + | `New_york -> Rain 20 + | `California -> Sun +``` + +The docstrings are distinguished by beginning with the double +asterisk. There are formatting conventions for the contents of the comment to +mark metadata. For instance, the `@tag` fields mark specific properties such +as the author of that section of code. + +There are two main tools used to manipulate docstring comments: the `ocamldoc` +tool that is supplied with the compiler, and the `odoc` tool that is developed +outside the compiler but is intended to be the long-term replacement. +Try compiling the HTML documentation and UNIX man pages by running `ocamldoc` +over the source file: + +``` +$ mkdir -p html man/man3 +$ ocamldoc -html -d html doc.ml +$ ocamldoc -man -d man/man3 doc.ml +$ man -M man Doc +``` + +You should now have HTML files inside the `html/` +directory and also be able to view the UNIX manual pages held in +`man/man3`. There are quite a few comment formats and +options to control the output for the various backends. Refer to the +[OCaml manual](https://ocaml.org/manual/native.html) +for the complete list. + +You can also use `odoc` to generate complete snapshots of your project via +integration with dune, as described in ["Generating Documentation"](/docs/generating-documentation){data-type=xref}. + +## Preprocessing with ppx + +One powerful feature in OCaml is a facility to extend the standard language via +_extension points_. These represent placeholders in the OCaml syntax tree and are +ignored by the standard compiler tooling, beyond being delimited and stored in +the abstract syntax tree alongside the normal parsed source code. They are +intended to be expanded by external tools that select extension nodes that can +interpret them. The external tools can choose to generate further OCaml code +by transforming the input syntax tree, thus forming the basis of an extensible +preprocessor for the language. + +There are two primary forms of extension points in OCaml: _attributes_ and +_extension nodes_. Let's first run through some examples of what they look +like, and then see how to use them in your own code. + +### Extension Attributes + +Attributes supply additional information that is attached to a node in the OCaml +syntax tree, and subsequently interpreted and expanded by external tools. + +The basic form of an attribute is the `[@ ... ]` syntax. The number of `@` symbols +defines which part of the syntax tree the attribute is bound to: + +- a single `[@` binds using a postfix notation to algebraic categories such as expressions or individual constructors in type definitions. +- a double `[@@` binds to blocks of code, such as module definitions, type declarations or class fields. +- a triple `[@@@` appears as a standalone entry in a module implementation or + signature, and are not tied to any specific source code node. + +The OCaml compiler has some useful builtin attributes that we can use to +illustrate their use without requiring any external tools. Let's first look +at the use of the standalone attribute `@@@warning` to toggle an OCaml +compiler warning. + + +```ocaml env=main +# module Abc = struct + + [@@@warning "+non-unit-statement"] + let a = Sys.get_argv (); () + + [@@@warning "-non-unit-statement"] + let b = Sys.get_argv (); () + end;; +Line 4, characters 11-26: +Warning 10 [non-unit-statement]: this expression should have type unit. +module Abc : sig val a : unit val b : unit end +``` + +The warning in our example is taken from the [compiler manual +page](https://ocaml.org/manual/native.html). This warning emits a +message if the expression in a sequence doesn't have type `unit`. The +`@@@warning` nodes in the module implementation cause the compiler to +change its behavior within the scope of that structure only. + +An annotation can also be more narrowly attached to a block of code. For example, +a module implementation can be annotated with `@@deprecated` to indicate that it +should not be used in new code: + +```ocaml env=main +# module Planets = struct + let earth = true + let pluto = true + end [@@deprecated "Sorry, Pluto is no longer a planet. Use the Planets2016 module instead."];; +module Planets : sig val earth : bool val pluto : bool end +# module Planets2016 = struct + let earth = true + let pluto = false + end;; +module Planets2016 : sig val earth : bool val pluto : bool end +``` + +In this example, the `@@deprecated` annotation is only attached to the +`Planets` module, and the human-readable argument string redirects developers +to the newer code. Now if we try to use the value that has been marked as +deprecated, the compiler will issue a warning. + +```ocaml env=main +# let is_pluto_a_planet = Planets.pluto;; +Line 1, characters 25-38: +Alert deprecated: module Planets +Sorry, Pluto is no longer a planet. Use the Planets2016 module instead. +val is_pluto_a_planet : bool = true +# let is_pluto_a_planet = Planets2016.pluto;; +val is_pluto_a_planet : bool = false +``` + +Finally, an attribute can also be attached to an individual expression. In the +next example, the `@warn_on_literal_pattern` attribute indicates that the +argument to the type constructor should not be pattern matched upon with a +constant literal. + +```ocaml env=main +# type program_result = + | Error of string [@warn_on_literal_pattern] + | Exit_code of int;; +type program_result = Error of string | Exit_code of int +# let exit_with = function + | Error "It blew up" -> 1 + | Exit_code code -> code + | Error _ -> 100;; +Line 2, characters 11-23: +Warning 52 [fragile-literal-pattern]: Code should not depend on the actual values of +this constructor's arguments. They are only for information +and may change in future versions. (See manual section 11.5) +val exit_with : program_result -> int = +``` + +### Commonly Used Extension Attributes + +We have already used extension points in [Data Serialization With S +Expressions](https://dev.realworldocaml.org/data-serialization.html#data-serialization-with-s-expressions){data-type=xref} +to generate boilerplate code for handling s-expressions. These are +introduced by a third-party library using the `(preprocess)` directive +in a dune file, for example: + +``` +(library + (name hello_world) + (libraries core) + (preprocess (pps ppx_jane)) +``` + +This allows you to take advantage of a community of syntax augmentation. +There are also a number of builtin attributes +in the core OCaml compiler. Some are performance oriented and give directives to the compiler, +whereas others will activate usage warnings. The full list is available in the [attributes section](https://ocaml.org/manual/attributes.html) of the OCaml manual. + + +### Extension Nodes + +While extension points are useful for annotating existing source +code, we also need a mechanism to store generic placeholders +within the OCaml AST for code generation. OCaml provides this +facility via the *extension node* syntax. + +The general syntax for an extension node is `[%id expr]`, where +`id` is an identifier for a particular extension node rewriter +and `expr` is the payload for the rewriter to parse. An infix +form is also available when the payload is of the same kind of syntax. +For example `let%foo bar = 1` is equivalent to `[%foo let bar = 1]`. + +We've already seen extension nodes in use via the Core syntax extensions +earlier in the book, where they act as syntactic sugar for error +handling (`let%bind`), for command-line parsing (`let%map`) or +inline testing (`let%expect_test`). Extension nodes are introduced +via dune rules in the same fashion as extension attributes, via the +`(preprocess)` attribute. + + +## Static Type Checking + +After obtaining a valid abstract syntax tree, the compiler has to verify that +the code obeys the rules of the OCaml type system. Code that is syntactically +correct but misuses values is rejected with an explanation of the problem. + +Although type checking is done in a single pass in OCaml, it actually +consists of three distinct steps that happen simultaneously: + +automatic type inference +: An algorithm that calculates types for a module without requiring manual + type annotations + +module system +: Combines software components with explicit knowledge of their type + signatures + +explicit subtyping +: Checks for objects and polymorphic variants + +Automatic type inference lets you write succinct code for a particular task +and have the compiler ensure that your use of variables is locally +consistent. + +Type inference doesn't scale to very large codebases that depend on separate +compilation of files. A small change in one module may ripple through +thousands of other files and libraries and require all of them to be +recompiled. The module system solves this by providing the facility to +combine and manipulate explicit type signatures for modules within a large +project, and also to reuse them via functors and first-class +modules. + +Subtyping in OCaml objects is always an explicit operation (via the `:>` +operator). This means that it doesn't complicate the core type inference +engine and can be tested as a separate concern. + +### Displaying Inferred Types from the Compiler + +We've already seen how you can explore type inference directly from the +toplevel. It's also possible to generate type signatures for an entire file +by asking the compiler to do the work for you. Create a file with a single +type definition and value: + +```ocaml file=examples/front-end/typedef.ml +type t = Foo | Bar +let v = Foo +``` + +Now run the compiler with the `-i` flag to infer the type signature for that +file. This runs the type checker but doesn't compile the code any further +after displaying the interface to the standard output: + +```sh dir=examples/front-end +$ ocamlc -i typedef.ml +type t = Foo | Bar +val v : t +``` + +The output is the default signature for the module that represents the input +file. It's often useful to redirect this output to an `mli` file to give you +a starting signature to edit the external interface without having to type it +all in by hand. + +The compiler stores a compiled version of the interface as a `cmi` file. This +interface is either obtained from compiling an `mli` signature file for a +module, or by the inferred type if there is only an `ml` implementation +present. + +The compiler makes sure that your `ml` and `mli` files have compatible +signatures. The type checker throws an immediate error if this isn't +the case. For example, if you have this as your `ml` file: + +```ocaml file=examples/front-end/conflicting_interface.ml +type t = Foo +``` + +\noindent +and this as your `mli`: + +```ocaml file=examples/front-end/conflicting_interface.mli +type t = Bar +``` + +\noindent +then, when you try to build, you'll get this error: + +```sh dir=examples/front-end +$ ocamlc -c conflicting_interface.mli conflicting_interface.ml +File "conflicting_interface.ml", line 1: +Error: The implementation conflicting_interface.ml + does not match the interface conflicting_interface.cmi: + Type declarations do not match: + type t = Foo + is not included in + type t = Bar + Constructors have different names, Foo and Bar. + File "conflicting_interface.mli", line 1, characters 0-12: + Expected declaration + File "conflicting_interface.ml", line 1, characters 0-12: + Actual declaration +[2] +``` + +
+ +#### Which Comes First: The ml or the mli? + +There are two schools of thought on which order OCaml code should be +written in. It's very easy to begin writing code by starting with an +`ml` file and using the type inference to guide you as you build up +your functions. The `mli` file can then be generated as described, and +the exported functions documented. + +If you're writing code that spans multiple files, it's sometimes easier to +start by writing all the `mli` signatures and checking that they type-check +against one another. Once the signatures are in place, you can write the +implementations with the confidence that they'll all glue together correctly, +with no cyclic dependencies among the modules. + +As with any such stylistic debate, you should experiment with which system +works best for you. Everyone agrees on one thing though: no matter in what +order you write them, production code should always explicitly define an +`mli` file for every `ml` file in the project. It's also perfectly fine to +have an `mli` file without a corresponding `ml` file if you're only declaring +signatures (such as module types). + +Signature files provide a place to write succinct documentation and to +abstract internal details that shouldn't be exported. Maintaining separate +signature files also speeds up incremental compilation in larger code bases, +since recompiling a `mli` signature is much faster than a full compilation of +the implementation to native code. +
+ + +### Type Inference {#type-inference-1} + +Type inference is the process of determining the appropriate types for +expressions based on their use. It's a feature that's partially present in +many other languages such as Haskell and Scala, but OCaml embeds it as a +fundamental feature throughout the core language. + +OCaml type inference is based on the Hindley-Milner algorithm, which is +notable for its ability to infer the most general type for an expression +without requiring any explicit type annotations. The algorithm can deduce +multiple types for an expression and has the notion of a *principal type* +that is the most general choice from the possible inferences. Manual type +annotations can specialize the type explicitly, but the automatic inference +selects the most general type unless told otherwise. + +OCaml does have some language extensions that strain the limits of principal +type inference, but by and large, most programs you write will never +*require* annotations (although they sometimes help the compiler produce +better error messages). + +#### Adding Type Annotations to Find Errors + +It's often said that the hardest part of writing OCaml code is getting past +the type checkerโ€”but once the code does compile, it works correctly the +first time! This is an exaggeration of course, but it can certainly feel true +when moving from a dynamically typed language. The OCaml static type system +protects you from certain classes of bugs such as memory errors and +abstraction violations by rejecting your program at compilation time rather +than by generating an error at runtime. Learning how to navigate the type +checker's compile-time feedback is key to building robust libraries and +applications that take full advantage of these static checks. + +There are a couple of tricks to make it easier to quickly locate type errors +in your code. The first is to introduce manual type annotations to narrow +down the source of your error more accurately. These annotations shouldn't +actually change your types and can be removed once your code is correct. +However, they act as anchors to locate errors while you're still writing your +code. + +Manual type annotations are particularly useful if you use lots of +polymorphic variants or objects. Type inference with row polymorphism can +generate some very large signatures, and errors tend to propagate more widely +than if you are using more explicitly typed variants or classes. + + + +For instance, consider this broken example that expresses some simple +algebraic operations over integers: + +```ocaml file=examples/front-end/broken_poly.ml +let rec algebra = + function + | `Add (x,y) -> (algebra x) + (algebra y) + | `Sub (x,y) -> (algebra x) - (algebra y) + | `Mul (x,y) -> (algebra x) * (algebra y) + | `Num x -> x + +let _ = + algebra ( + `Add ( + (`Num 0), + (`Sub ( + (`Num 1), + (`Mul ( + (`Nu 3),(`Num 2) + )) + )) + )) +``` + +There's a single character typo in the code so that it uses `Nu` instead of +`Num`. The resulting type error is impressive: + +```sh dir=examples/front-end +$ ocamlc -c broken_poly.ml +File "broken_poly.ml", lines 9-18, characters 10-6: + 9 | ..........( +10 | `Add ( +11 | (`Num 0), +12 | (`Sub ( +13 | (`Num 1), +14 | (`Mul ( +15 | (`Nu 3),(`Num 2) +16 | )) +17 | )) +18 | )) +Error: This expression has type + [> `Add of + ([< `Add of 'a * 'a + | `Mul of 'a * 'a + | `Num of int + | `Sub of 'a * 'a + > `Num ] + as 'a) * + [> `Sub of 'a * [> `Mul of [> `Nu of int ] * [> `Num of int ] ] + ] ] + but an expression was expected of type + [< `Add of 'a * 'a | `Mul of 'a * 'a | `Num of int | `Sub of 'a * 'a + > `Num ] + as 'a + The second variant type does not allow tag(s) `Nu +[2] +``` + +The type error is perfectly accurate, but rather verbose and with a line +number that doesn't point to the exact location of the incorrect variant +name. The best the compiler can do is to point you in the general direction +of the `algebra` function application. + +This is because the type checker doesn't have enough information to match the +inferred type of the `algebra` definition to its application a few lines +down. It calculates types for both expressions separately, and when they +don't match up, outputs the difference as best it can. + +Let's see what happens with an explicit type annotation to help the compiler +out: + +```ocaml file=examples/front-end/broken_poly_with_annot.ml +type t = [ + | `Add of t * t + | `Sub of t * t + | `Mul of t * t + | `Num of int +] + +let rec algebra (x:t) = + match x with + | `Add (x,y) -> (algebra x) + (algebra y) + | `Sub (x,y) -> (algebra x) - (algebra y) + | `Mul (x,y) -> (algebra x) * (algebra y) + | `Num x -> x + +let _ = + algebra ( + `Add ( + (`Num 0), + (`Sub ( + (`Num 1), + (`Mul ( + (`Nu 3),(`Num 2) + )) + )) + )) +``` + +This code contains exactly the same error as before, but we've added a closed +type definition of the polymorphic variants, and a type annotation to the +`algebra` definition. The compiler error we get is much more useful now: + +```sh dir=examples/front-end +$ ocamlc -i broken_poly_with_annot.ml +File "broken_poly_with_annot.ml", line 22, characters 14-21: +22 | (`Nu 3),(`Num 2) + ^^^^^^^ +Error: This expression has type [> `Nu of int ] + but an expression was expected of type t + The second variant type does not allow tag(s) `Nu +[2] +``` + +This error points directly to the correct line number that contains the typo. +Once you fix the problem, you can remove the manual annotations if you prefer +more succinct code. You can also leave the annotations there, of course, to +help with future refactoring and debugging. + +#### Enforcing Principal Typing + +The compiler also has a stricter *principal type checking* mode that is +activated via the `-principal` flag. This +warns about risky uses of type information to ensure that the type inference +has one principal result. A type is considered risky if the success or +failure of type inference depends on the order in which subexpressions are +typed. + +The principality check only affects a few language features: + +- Polymorphic methods for objects + +- Permuting the order of labeled arguments in a function from their type + definition + +- Discarding optional labeled arguments + +- Generalized algebraic data types (GADTs) present from OCaml 4.0 onward + +- Automatic disambiguation of record field and constructor names (since OCaml + 4.1) + +Here's an example of principality warnings when used with record +disambiguation. + +```ocaml file=examples/front-end/non_principal.ml +type s = { foo: int; bar: unit } +type t = { foo: int } + +let f x = + x.bar; + x.foo +``` + +Inferring the signature with `-principal` will show you a new warning: + +```sh dir=examples/front-end +$ ocamlc -i -principal non_principal.ml +File "non_principal.ml", line 6, characters 4-7: +6 | x.foo + ^^^ +Warning 18 [not-principal]: this type-based field disambiguation is not principal. +type s = { foo : int; bar : unit; } +type t = { foo : int; } +val f : s -> int +``` + +This example isn't principal, since the inferred type for `x.foo` is guided +by the inferred type of `x.bar`, whereas principal typing requires that each +subexpression's type can be calculated independently. If the `x.bar` use is +removed from the definition of `f`, its argument would be of type `t` and not +`type s`. + +You can fix this either by permuting the order of the type declarations, or +by adding an explicit type annotation: + +```ocaml file=examples/front-end/principal.ml +type s = { foo: int; bar: unit } +type t = { foo: int } + +let f (x:s) = + x.bar; + x.foo +``` + +There is now no ambiguity about the inferred types, since we've explicitly +given the argument a type, and the order of inference of the subexpressions +no longer matters. + +```sh dir=examples/front-end +$ ocamlc -i -principal principal.ml +type s = { foo : int; bar : unit; } +type t = { foo : int; } +val f : s -> int +``` + +The `dune` equivalent is to add the flag `-principal` to your build description. + +```ocaml file=examples/front-end/dune +(executable + (name principal) + (flags :standard -principal) + (modules principal)) + +(executable + (name non_principal) + (flags :standard -principal) + (modules non_principal)) +``` + +The `:standard` directive will include all the default flags, and then +`-principal` will be appended after those in the compiler build flags. + +```sh dir=examples/front-end/ +$ dune build principal.exe +$ dune build non_principal.exe +File "non_principal.ml", line 6, characters 4-7: +6 | x.foo + ^^^ +Error (warning 18 [not-principal]): this type-based field disambiguation is not principal. +[1] +``` + +Ideally, all code should systematically use `-principal`. It reduces variance +in type inference and enforces the notion of a single known type. However, +there are drawbacks to this mode: type inference is slower, and the `cmi` +files become larger. This is generally only a problem if you extensively use +objects, which usually have larger type signatures to cover all their +methods. + +If compiling in principal mode works, it is guaranteed that the program will +pass type checking in non-principal mode, too. Bear in mind that the `cmi` +files generated in principal mode differ from the default mode. Try to ensure +that you compile your whole project with it activated. Getting the files mixed +up won't let you violate type safety, but it can result in the type checker +failing unexpectedly very occasionally. In this case, just recompile with a +clean source tree. + + +### Modules and Separate Compilation + +The OCaml module system enables smaller components to be reused effectively +in large projects while still retaining all the benefits of static type +safety. We covered the basics of using modules earlier in +[Files Modules And Programs](https://dev.realworldocaml.org/files-modules-and-programs.html#files-modules-and-programs){data-type=xref}. +The module language that operates over these signatures also extends to +functors and first-class modules, described in +[Functors](https://dev.realworldocaml.org/functors.html#functors){data-type=xref} and +[First Class Modules](https://dev.realworldocaml.org/first-class-modules.html#first-class-modules){data-type=xref}, +respectively. + +This section discusses how the compiler implements them in more detail. +Modules are essential for larger projects that consist of many source files +(also known as *compilation units*). It's impractical to recompile every +single source file when changing just one or two files, and the module system +minimizes such recompilation while still encouraging code reuse. + +#### The Mapping Between Files and Modules + +Individual compilation units provide a convenient way to break up a big +module hierarchy into a collection of files. The relationship between files +and modules can be explained directly in terms of the module system. + +Create a file called `alice.ml` with the following contents: + +```ocaml file=examples/front-end/alice.ml +let friends = [ Bob.name ] +``` + +and a corresponding signature file: + +```ocaml file=examples/front-end/alice.mli +val friends : Bob.t list +``` + +These two files produce essentially the same result as the following +code. + +```ocaml file=examples/front-end/alice_combined.ml +module Alice : sig + val friends : Bob.t list +end = struct + let friends = [ Bob.name ] +end +``` + +#### Defining a Module Search Path + +In the preceding example, `Alice` also has a reference to another module +`Bob`. For the overall type of `Alice` to be valid, the compiler also needs +to check that the `Bob` module contains at least a `Bob.name` value and +defines a `Bob.t` type. + +The type checker resolves such module references into concrete structures and +signatures in order to unify types across module boundaries. It does this by +searching a list of directories for a compiled interface file matching that +module's name. For example, it will look for `alice.cmi` and `bob.cmi` on the +search path and use the first ones it encounters as the interfaces for +`Alice` and `Bob`. + +The module search path is set by adding `-I` flags to the compiler +command line with the directory containing the `cmi` files as the +argument. Manually specifying these flags gets complex when you have +lots of libraries, and is the reason why tools like `dune` and +`ocamlfind` exist. They both automate the process of turning +third-party package names and build descriptions into command-line +flags that are passed to the compiler command line. + +By default, only the current directory and the OCaml standard library +will be searched for `cmi` files. The `Stdlib` module from the +standard library will also be opened by default in every compilation +unit. The standard library location is obtained by running `ocamlc +-where` and can be overridden by setting the `CAMLLIB` environment +variable. Needless to say, don't override the default path unless you +have a good reason to (such as setting up a cross-compilation +environment). + +
+ +#### Inspecting Compilation Units with ocamlobjinfo + +For separate compilation to be sound, we need to ensure that all the +`cmi` files used to type-check a module are the same across compilation runs. +If they vary, this raises the possibility of two modules checking different +type signatures for a common module with the same name. This in turn lets the +program completely violate the static type system and can lead to memory +corruption and crashes. + +OCaml guards against this by recording a MD5 checksum in every `cmi`. Let's +examine our earlier `typedef.ml` more closely: + +```sh dir=examples/front-end,non-deterministic +$ ocamlc -c typedef.ml +$ ocamlobjinfo typedef.cmi +File typedef.cmi +Unit name: Typedef +Interfaces imported: + cdd43318ee9dd1b187513a4341737717 Typedef + 9b04ecdc97e5102c1d342892ef7ad9a2 Pervasives + 79ae8c0eb753af6b441fe05456c7970b CamlinternalFormatBasics +``` + +`ocamlobjinfo` examines the compiled interface and displays what other +compilation units it depends on. In this case, we don't use any external +modules other than `Pervasives`. Every module depends on `Pervasives` by +default, unless you use the `-nopervasives` flag (this is an advanced use +case, and you shouldn't normally need it). + +The long alphanumeric identifier beside each module name is a hash calculated +from all the types and values exported from that compilation unit. It's used +during type-checking and linking to ensure that all of the compilation units +have been compiled consistently against one another. A difference in the +hashes means that a compilation unit with the same module name may have +conflicting type signatures in different modules. The compiler will reject +such programs with an error similar to this: + +``` +$ ocamlc -c foo.ml +File "foo.ml", line 1, characters 0-1: +Error: The files /home/build/bar.cmi + and /usr/lib/ocaml/map.cmi make inconsistent assumptions + over interface Map +``` + +This hash check is very conservative, but ensures that separate compilation +remains type-safe all the way up to the final link phase. Your build system +should ensure that you never see the preceding error messages, but if you do +run into it, just clean out your intermediate files and recompile from +scratch. +
+ + +### Wrapping Libraries with Module Aliases + +The module-to-file mapping described so far rigidly enforces a 1:1 mapping +between a top-level module and a file. It's often convenient to split larger +modules into separate files to make editing easier, but still compile them +all into a single OCaml module. + +Dune provides a very convenient way of doing this for libraries via +automatically generating a toplevel _module alias_ file that places all the +files in a given library as submodules within the toplevel module for +that library. This is known as _wrapping_ the library, and works as follows. + +Let's define a simple library with two files `a.ml` and `b.ml` that each define +a single value. + +```ocaml file=examples/packing/A.ml +let v = "hello" +``` + +```ocaml file=examples/packing/B.ml +let w = 42 +``` + +The dune file defines a library called `hello` that includes these two modules. + +```ocaml file=examples/packing/dune +(library + (name hello) + (modules a b)) +(executable + (name test) + (libraries hello) + (modules test)) +``` + +If we now build this library, we can look at how dune assembles the modules +into a `Hello` library. + +```sh dir=examples/packing +$ dune build +$ cat _build/default/hello.ml-gen +(** @canonical Hello.A *) +module A = Hello__A + + +(** @canonical Hello.B *) +module B = Hello__B +``` + +Dune has generated a `hello.ml` file which forms the toplevel module exposed +by the library. It has also renamed the individual modules into internal +mangled names such as `Hello__A`, and assigned those internal modules as +aliases within the generated `hello.ml` file. This then allows a user +of this library to access the values as `Hello.A`. For example, our test +executable contains this: + +```ocaml file=examples/packing/test.ml +let v = Hello.A.v +let w = Hello.B.w +``` + +One nice aspect about this module alias scheme is that a single toplevel +module provides a central place to write documentation about how to use +all the submodules exposed by the library. We can manually add a `hello.ml` +and `hello.mli` to our library that does exactly this. First add the +`hello` module to the dune file: + +```ocaml file=examples/packing-with-doc/dune +(library + (name hello) + (modules a b hello)) +(executable + (name test) + (libraries hello) + (modules test)) +``` + +Then the `hello.ml` file contains the module aliases (and any other code +you might want to add to the toplevel module). + +```ocaml file=examples/packing-with-doc/hello.ml +module A = A +module B = B +``` + +Finally, the `hello.mli` interface file can reference all the submodules +and include documentation strings: + +```ocaml file=examples/packing-with-doc/hello.mli +(** Documentation for module A *) +module A : sig + (** [v] is Hello *) + val v : string +end + +(** Documentation for module B *) +module B : sig + (** [w] is 42 *) + val w : int +end +``` + +If you want to disable this behavior of dune and deliberately include +multiple toplevel modules, you can add `(wrapped false)` to your libraries +stanza. However, this is discouraged in general due to the increased likelihood +of linking clashes when you have a lot of library dependencies, since every +module that is linked into an executable must have a unique name in OCaml. + +### Shorter Module Paths in Type Errors + +Core uses the OCaml module system quite extensively to provide a complete +replacement standard library. It collects these modules into a single +`Std` module, which provides a single module that needs to be opened to +import the replacement modules and functions. + +There's one downside to this approach: type errors suddenly get much more +verbose. We can see this if you run the vanilla OCaml toplevel (not `utop`). + +``` +$ ocaml +# List.map print_endline "";; +Error: This expression has type string but an expression was expected of type + string list +``` + +This type error without `Core` has a straightforward type error. When we +switch to Core, though, it gets more verbose: + +``` +$ ocaml +# open Core;; +# List.map ~f:print_endline "";; +Error: This expression has type string but an expression was expected of type + 'a Core.List.t = 'a list +``` + +The default `List` module in OCaml is overridden by `Core.List`. The compiler +does its best to show the type equivalence, but at the cost of a more verbose +error message. + +The compiler can remedy this via a so-called short paths heuristic. This +causes the compiler to search all the type aliases for the shortest module +path and use that as the preferred output type. The option is activated by +passing `-short-paths` to the compiler, and works on the toplevel, too. + +``` +$ ocaml -short-paths +# open Core;; +# List.map ~f:print_endline "foo";; +Error: This expression has type string but an expression was expected of type + 'a list +``` + +The `utop` enhanced toplevel activates short paths by default, which is why +we have not had to do this before in our interactive examples. However, the +compiler doesn't default to the short path heuristic, since there are some +situations where the type aliasing information is useful to know, and it +would be lost in the error if the shortest module path is always picked. + +You'll need to choose for yourself if you prefer short paths or the default +behavior in your own projects, and pass the `-short-paths` flag to the +compiler if you need + + +## The Typed Syntax Tree + +When the type checking process has successfully completed, it is combined +with the AST to form a *typed abstract syntax tree*. This contains precise +location information for every token in the input file, and decorates each +token with concrete type information. + +The compiler can output this as compiled `cmt` and `cmti` files that contain +the typed AST for the implementation and signatures of a compilation unit. +This is activated by passing the `-bin-annot` flag to the compiler. + +The `cmt` files are particularly useful for IDE tools to match up OCaml +source code at a specific location to the inferred or external types. +For example, the `merlin` and `ocaml-lsp-server` opam packages both use +this information to provide you with tooltips and docstrings within your +editor, as described in [OCaml Platform](/docs/set-up-editor){data-type=xref}. + +### Examining the Typed Syntax Tree Directly + +The compiler has a couple of advanced flags that can dump the raw output of +the internal AST representation. You can't depend on these flags to give the +same output across compiler revisions, but they are a useful learning +tool. + +We'll use our toy `typedef.ml` again: + +```ocaml file=examples/front-end/typedef.ml +type t = Foo | Bar +let v = Foo +``` + +Let's first look at the untyped syntax tree that's generated from the parsing +phase: + +```sh dir=examples/front-end +$ ocamlc -dparsetree typedef.ml 2>&1 +[ + structure_item (typedef.ml[1,0+0]..[1,0+18]) + Pstr_type Rec + [ + type_declaration "t" (typedef.ml[1,0+5]..[1,0+6]) (typedef.ml[1,0+0]..[1,0+18]) + ptype_params = + [] + ptype_cstrs = + [] + ptype_kind = + Ptype_variant + [ + (typedef.ml[1,0+9]..[1,0+12]) + "Foo" (typedef.ml[1,0+9]..[1,0+12]) + [] + None + (typedef.ml[1,0+13]..[1,0+18]) + "Bar" (typedef.ml[1,0+15]..[1,0+18]) + [] + None + ] + ptype_private = Public + ptype_manifest = + None + ] + structure_item (typedef.ml[2,19+0]..[2,19+11]) + Pstr_value Nonrec + [ + + pattern (typedef.ml[2,19+4]..[2,19+5]) + Ppat_var "v" (typedef.ml[2,19+4]..[2,19+5]) + expression (typedef.ml[2,19+8]..[2,19+11]) + Pexp_construct "Foo" (typedef.ml[2,19+8]..[2,19+11]) + None + ] +] + +``` + +This is rather a lot of output for a simple two-line program, but it shows +just how much structure the OCaml parser generates even from a small source +file. + +Each portion of the AST is decorated with the precise location information +(including the filename and character location of the token). This code +hasn't been type checked yet, so the raw tokens are all included. + +The typed AST that is normally output as a compiled `cmt` file can be +displayed in a more developer-readable form via the `-dtypedtree` option: + +```sh dir=examples/front-end +$ ocamlc -dtypedtree typedef.ml 2>&1 +[ + structure_item (typedef.ml[1,0+0]..typedef.ml[1,0+18]) + Tstr_type Rec + [ + type_declaration t/267 (typedef.ml[1,0+0]..typedef.ml[1,0+18]) + ptype_params = + [] + ptype_cstrs = + [] + ptype_kind = + Ttype_variant + [ + (typedef.ml[1,0+9]..typedef.ml[1,0+12]) + Foo/268 + [] + None + (typedef.ml[1,0+13]..typedef.ml[1,0+18]) + Bar/269 + [] + None + ] + ptype_private = Public + ptype_manifest = + None + ] + structure_item (typedef.ml[2,19+0]..typedef.ml[2,19+11]) + Tstr_value Nonrec + [ + + pattern (typedef.ml[2,19+4]..typedef.ml[2,19+5]) + Tpat_var "v/270" + expression (typedef.ml[2,19+8]..typedef.ml[2,19+11]) + Texp_construct "Foo" + [] + ] +] + +``` + +The typed AST is more explicit than the untyped syntax tree. For instance, +the type declaration has been given a unique name (`t/1008`), as has the +`v` value (`v/1011`). + +You'll rarely need to look at this raw output from the compiler unless you're +building IDE tools, or are hacking on extensions to the +core compiler itself. However, it's useful to know that this intermediate +form exists before we delve further into the code generation process next, in +[The Compiler Backend: Byte Code And Native Code](/docs/compiler-backend#the-compiler-backend-byte-code-and-native-code){data-type=xref}. diff --git a/data/tutorials/language/5rt_03_compiler_backend.md b/data/tutorials/language/5rt_03_compiler_backend.md new file mode 100644 index 0000000000..06a2a5b2a5 --- /dev/null +++ b/data/tutorials/language/5rt_03_compiler_backend.md @@ -0,0 +1,1156 @@ +--- +id: compiler-backend +title: Compiler Backend +description: > + The Compiler Backend, excerpt from Real World OCaml +category: "Runtime & Compiler" +external_tutorial: + tag: "RWO" + banner: + image: "tutorials/rwo_banner.png" + url: https://dev.realworldocaml.org/ + alt: "Real World OCaml" + contribute_link: + url: https://github.com/realworldocaml/book/blob/master/book/compiler-backend/README.md + description: "You are encouraged to contribute to the original sources of this page at the Real World OCaml GitHub repository." +--- + +This is an adaptation of the chapter [The Compiler Backend: Bytecode and Native code](https://dev.realworldocaml.org/compiler-backend.html) from the book [Real World OCaml](https://dev.realworldocaml.org/), reproduced here with permission. + + +# The Compiler Backend: Bytecode and Native code {#the-compiler-backend-byte-code-and-native-code} + +Once OCaml has passed the type checking stage, it can stop emitting syntax +and type errors and begin the process of compiling the well-formed modules +into executable code. + +In this chapter, we'll cover the following topics: + +- The untyped intermediate lambda code where pattern matching is optimized + +- The bytecode `ocamlc` compiler and `ocamlrun` interpreter + +- The native code `ocamlopt` code generator, and debugging and profiling + native code + +## The Untyped Lambda Form + +The first code generation phase eliminates all the static type information +into a simpler intermediate *lambda form*. The lambda form discards +higher-level constructs such as modules and objects and replaces them with +simpler values such as records and function pointers. Pattern matches are +also analyzed and compiled into highly optimized automata. + +The lambda form is the key stage that discards the OCaml type +information and maps the source code to the runtime memory model +described in [Memory Representation Of +Values](/docs/runtime-memory-layout#memory-representation-of-values){data-type=xref}. +This stage also performs some optimizations, most notably converting +pattern-match statements into more optimized but low-level statements. + +### Pattern Matching Optimization + +The compiler dumps the lambda form in an s-expression syntax if you add the +`-dlambda` directive to the command line. +Let's use this to learn more about how the OCaml pattern-matching engine +works by building three different pattern matches and comparing their lambda +forms. + +Let's start by creating a straightforward exhaustive pattern match using four +normal variants: + +```ocaml file=examples/back-end/pattern_monomorphic_large.ml +type t = | Alice | Bob | Charlie | David + +let test v = + match v with + | Alice -> 100 + | Bob -> 101 + | Charlie -> 102 + | David -> 103 +``` + +The lambda output for this code looks like this: + +```sh dir=examples/back-end +$ ocamlc -dlambda -c pattern_monomorphic_large.ml 2>&1 +(setglobal Pattern_monomorphic_large! + (let + (test/272 = + (function v/274[int] : int + (switch* v/274 + case int 0: 100 + case int 1: 101 + case int 2: 102 + case int 3: 103))) + (makeblock 0 test/272))) +``` + +It's not important to understand every detail of this internal form, and it +is explicitly undocumented since it can change across compiler revisions. +Despite these caveats, some interesting points emerge from reading it: + +- There are no mentions of modules or types any more. Global values + are created via `setglobal`, and OCaml values are constructed by + `makeblock`. The blocks are the runtime values you should remember + from [Memory Representation Of + Values](/docs/runtime-memory-layout#memory-representation-of-values){data-type=xref}. + +- The pattern match has turned into a switch case that jumps to the + right case depending on the header tag of `v`. Recall that variants + without parameters are stored in memory as integers in the order in + which they appear. The pattern-matching engine knows this and has + transformed the pattern into an efficient jump table. + +- Values are addressed by a unique name that distinguishes shadowed values by + appending a number (e.g., `v/1014`). The type safety checks in the earlier + phase ensure that these low-level accesses never violate runtime memory + safety, so this layer doesn't do any dynamic checks. Unwise use of unsafe + features such as the `Obj.magic` module can still easily induce crashes at + this level. + +The compiler computes a jump table in order to handle all four cases. If we +drop the number of variants to just two, then there's no need for the +complexity of computing this table: + +```ocaml file=examples/back-end/pattern_monomorphic_small.ml +type t = | Alice | Bob + +let test v = + match v with + | Alice -> 100 + | Bob -> 101 +``` + +The lambda output for this code is now quite different: + +```sh dir=examples/back-end +$ ocamlc -dlambda -c pattern_monomorphic_small.ml 2>&1 +(setglobal Pattern_monomorphic_small! + (let (test/270 = (function v/272[int] : int (if v/272 101 100))) + (makeblock 0 test/270))) +``` + +The compiler emits simpler conditional jumps rather than setting up a +jump table, since it statically determines that the range of possible +variants is small enough. Finally, let's consider code that's +essentially the same as our first pattern match example, but with +polymorphic variants instead of normal variants: + +```ocaml file=examples/back-end/pattern_polymorphic.ml +let test v = + match v with + | `Alice -> 100 + | `Bob -> 101 + | `Charlie -> 102 + | `David -> 103 +``` + +The lambda form for this also reflects the runtime representation of +polymorphic variants: + +```sh dir=examples/back-end +$ ocamlc -dlambda -c pattern_polymorphic.ml 2>&1 +(setglobal Pattern_polymorphic! + (let + (test/267 = + (function v/269[int] : int + (if (>= v/269 482771474) (if (>= v/269 884917024) 100 102) + (if (>= v/269 3306965) 101 103)))) + (makeblock 0 test/267))) +``` + +We mentioned in [Variants](https://dev.realworldocaml.org/variants.html#variants){data-type=xref} that +pattern matching over polymorphic variants is slightly less efficient, and it +should be clearer why this is the case now. Polymorphic variants have a +runtime value that's calculated by hashing the variant name, and so the +compiler can't use a jump table as it does for normal variants. Instead, it +creates a decision tree that compares the hash values against the input +variable in as few comparisons as possible. + +Pattern matching is an important part of OCaml programming. You'll often +encounter deeply nested pattern matches over complex data structures in real +code. A good paper that describes the fundamental algorithms implemented in +OCaml is +["Optimizing pattern matching"](http://dl.acm.org/citation.cfm?id=507641) by +Fabrice Le Fessant and Luc Maranget. + +The paper describes the backtracking algorithm used in classical pattern +matching compilation, and also several OCaml-specific optimizations, such as +the use of exhaustiveness information and control flow optimizations via +static exceptions. +It's not essential that you understand all of this just to use pattern +matching, of course, but it'll give you insight as to why pattern +matching is such an efficient language construct in OCaml. + + +### Benchmarking Pattern Matching + +Let's benchmark these three pattern-matching techniques to quantify their +runtime costs more accurately. The `Core_bench` module runs the tests +thousands of times and also calculates statistical variance of the results. +You'll need to `opam install core_bench` to get the library: + +```ocaml file=examples/back-end/bench_patterns/bench_patterns.ml +open Core +open Core_bench + +module Monomorphic = struct + type t = + | Alice + | Bob + | Charlie + | David + + let bench () = + let convert v = + match v with + | Alice -> 100 + | Bob -> 101 + | Charlie -> 102 + | David -> 103 + in + List.iter + ~f:(fun v -> ignore (convert v)) + [ Alice; Bob; Charlie; David ] +end + +module Monomorphic_small = struct + type t = + | Alice + | Bob + + let bench () = + let convert v = + match v with + | Alice -> 100 + | Bob -> 101 + in + List.iter + ~f:(fun v -> ignore (convert v)) + [ Alice; Bob; Alice; Bob ] +end + +module Polymorphic = struct + type t = + [ `Alice + | `Bob + | `Charlie + | `David + ] + + let bench () = + let convert v = + match v with + | `Alice -> 100 + | `Bob -> 101 + | `Charlie -> 102 + | `David -> 103 + in + List.iter + ~f:(fun v -> ignore (convert v)) + [ `Alice; `Bob; `Alice; `Bob ] +end + +let benchmarks = + [ "Monomorphic large pattern", Monomorphic.bench + ; "Monomorphic small pattern", Monomorphic_small.bench + ; "Polymorphic large pattern", Polymorphic.bench + ] + +let () = + List.map benchmarks ~f:(fun (name, test) -> + Bench.Test.create ~name test) + |> Bench.make_command + |> Command_unix.run +``` + +Building and executing this example will run for around 30 seconds by +default, and you'll see the results summarized in a neat table: + +```sh dir=examples/back-end/bench_patterns,non-deterministic=command +$ dune exec -- ./bench_patterns.exe -ascii -quota 0.25 +Estimated testing time 750ms (3 benchmarks x 250ms). Change using '-quota'. + + Name Time/Run Percentage + --------------------------- ---------- ------------ + Monomorphic large pattern 6.54ns 67.89% + Monomorphic small pattern 9.63ns 100.00% + Polymorphic large pattern 9.63ns 99.97% + +``` + +These results confirm the performance hypothesis that we obtained earlier by +inspecting the lambda code. The shortest running time comes from the small +conditional pattern match, and polymorphic variant pattern matching is the +slowest. There isn't a hugely significant difference in these examples, but +you can use the same techniques to peer into the innards of your own source +code and narrow down any performance hotspots. + +The lambda form is primarily a stepping stone to the bytecode executable +format that we'll cover next. It's often easier to look at the textual output +from this stage than to wade through the native assembly code from compiled +executables. + + +## Generating Portable Bytecode + +After the lambda form has been generated, we are very close to having +executable code. The OCaml toolchain branches into two separate compilers at +this point. We'll describe the bytecode compiler first, which consists of two +pieces: + +`ocamlc` +: Compiles files into a bytecode that is a close mapping to the lambda form + +`ocamlrun` +: A portable interpreter that executes the bytecode + +The big advantage of using bytecode is simplicity, portability, and +compilation speed. The mapping from the lambda form to bytecode is +straightforward, and this results in predictable (but slow) execution speed. + +The bytecode interpreter implements a stack-based virtual machine. The OCaml +stack and an associated accumulator store values that consist of: + +long +: Values that correspond to an OCaml `int` type + +block +: Values that contain the block header and a memory address with the data + fields that contain further OCaml values indexed by an integer + +code offset +: Values that are relative to the starting code address + +The interpreter virtual machine only has seven registers in total: +- program counter, +- stack, exception and argument pointers, +- accumulator, +- environment and global data. + +You can display the bytecode instructions in +textual form via `-dinstr`. Try this on one of our earlier pattern-matching +examples: + +```sh dir=examples/back-end +$ ocamlc -dinstr pattern_monomorphic_small.ml 2>&1 + branch L2 +L1: acc 0 + branchifnot L3 + const 101 + return 1 +L3: const 100 + return 1 +L2: closure L1, 0 + push + acc 0 + makeblock 1, 0 + pop 1 + setglobal Pattern_monomorphic_small! + +``` + +The preceding bytecode has been simplified from the lambda form into a set of +simple instructions that are executed serially by the interpreter. + +There are around 140 instructions in total, but most are just minor variants +of commonly encountered operations (e.g., function application at a specific +arity). You can find full details +[online](http://cadmium.x9c.fr/distrib/caml-instructions.pdf). + +
+ +#### Where Did the Bytecode Instruction Set Come From? + +The bytecode interpreter is much slower than compiled native code, but is +still remarkably performant for an interpreter without a JIT compiler. Its +efficiency can be traced back to Xavier Leroy's ground-breaking work in 1990, +["The ZINC experiment: An Economical Implementation of the ML Language".](http://hal.inria.fr/docs/00/07/00/49/PS/RT-0117.ps) + +This paper laid the theoretical basis for the implementation of an +instruction set for a strictly evaluated functional language such as OCaml. +The bytecode interpreter in modern OCaml is still based on the ZINC model. +The native code compiler uses a different model since it uses CPU registers +for function calls instead of always passing arguments on the stack, as the +bytecode interpreter does. + +Understanding the reasoning behind the different implementations of the +bytecode interpreter and the native compiler is a very useful exercise for +any budding language hacker. +
+ + +### Compiling and Linking Bytecode + +The `ocamlc` command compiles individual `ml` files into bytecode files that +have a `cmo` extension. The compiled bytecode files are matched with the +associated `cmi` interface, which contains the type signature exported to +other compilation units. + +A typical OCaml library consists of multiple source files, and hence multiple +`cmo` files that all need to be passed as command-line arguments to use the +library from other code. The compiler can combine these multiple files into a +more convenient single archive file by using the `-a` flag. Bytecode archives +are denoted by the `cma` extension. + +The individual objects in the library are linked as regular `cmo` files in +the order specified when the library file was built. If an object file within +the library isn't referenced elsewhere in the program, then it isn't included +in the final binary unless the `-linkall` flag forces its inclusion. This +behavior is analogous to how C handles object files and archives (`.o` and +`.a`, respectively). + +The bytecode files are then linked together with the OCaml standard library +to produce an executable program. The order in which `.cmo` arguments are +presented on the command line defines the order in which compilation units +are initialized at runtime. Remember that OCaml has no single `main` function +like C, so this link order is more important than in C programs. + +### Executing Bytecode + +The bytecode runtime comprises three parts: the bytecode interpreter, GC, and +a set of C functions that implement the primitive operations. The bytecode +contains instructions to call these C functions when required. + +The OCaml linker produces bytecode that targets the standard OCaml runtime by +default, and so needs to know about any C functions that are referenced from +other libraries that aren't loaded by default. + +Information about these extra libraries can be specified while linking a +bytecode archive: + +``` +$ ocamlc -a -o mylib.cma a.cmo b.cmo -dllib -lmylib + +``` + +The `dllib` flag embeds the arguments in the archive file. Any subsequent +packages linking this archive will also include the extra C linking +directive. This in turn lets the interpreter dynamically load the external +library symbols when it executes the bytecode. + +You can also generate a complete standalone executable that bundles the +`ocamlrun` interpreter with the bytecode in a single binary. This is known as +a *custom runtime* mode and is built as follows: + +``` +$ ocamlc -a -o mylib.cma -custom a.cmo b.cmo -cclib -lmylib + +``` + +The custom mode is the most similar mode to native code compilation, as both +generate standalone executables. There are quite a few other options +available for compiling bytecode (notably with shared libraries or building +custom runtimes). Full details can be found in the +[OCaml](https://ocaml.org/manual/comp.html#s%3Acomp-options). + +Dune can build a self-contained bytecode executable if you specify the +`byte_complete` mode in the executable rule. For example, this `dune` +file will generate a `prog.bc.exe` target: + +```scheme +(executable + (name prog) + (modules prog) + (modes byte byte_complete)) +``` + +### Embedding OCaml Bytecode in C + +A consequence of using the bytecode compiler is that the final link phase +must be performed by `ocamlc`. However, you might sometimes want to embed +your OCaml code inside an existing C application. OCaml also supports this +mode of operation via the `-output-obj` directive. + +This mode causes `ocamlc` to output an object file containing the bytecode +for the OCaml part of the program, as well as a `caml_startup` function. All +of the OCaml modules are linked into this object file as bytecode, just as +they would be for an executable. + +This object file can then be linked with C code using the standard C +compiler, needing only the bytecode runtime library (which is installed as +`libcamlrun.a`). Creating an executable just requires you to link the runtime +library with the bytecode object file. Here's an example to show how it all +fits together. + +Create two OCaml source files that contain a single print line: + +```ocaml file=examples/back-end-embed/embed_me1.ml +let () = print_endline "hello embedded world 1" +``` + + + +```ocaml file=examples/back-end-embed/embed_me2.ml +let () = print_endline "hello embedded world 2" +``` + +Next, create a C file to be your main entry point: + +``` +#include +#include +#include +#include +#include + +int +main (int argc, char **argv) +{ + printf("Before calling OCaml\n"); + fflush(stdout); + caml_startup (argv); + printf("After calling OCaml\n"); + return 0; +} +``` + +Now compile the OCaml files into a standalone object file: + +```sh dir=examples/back-end-embed +$ rm -f embed_out.c +$ ocamlc -output-obj -o embed_out.o embed_me1.ml embed_me2.ml +``` + +After this point, you no longer need the OCaml compiler, as `embed_out.o` has +all of the OCaml code compiled and linked into a single object file. Compile +an output binary using `gcc` to test this out: + +``` +$ gcc -fPIC -Wall -I`ocamlc -where` -L`ocamlc -where` -ltermcap -lm -ldl \ + -o finalbc.native main.c embed_out.o -lcamlrun +$ ./finalbc.native +Before calling OCaml +hello embedded world 1 +hello embedded world 2 +After calling OCaml +``` + +You can inspect the commands that `ocamlc` is invoking by adding `-verbose` +to the command line to help figure out the GCC command line if you get stuck. +You can even obtain the C source code to the `-output-obj` result by +specifying a `.c` output file extension instead of the `.o` we used earlier: + +```sh dir=examples/back-end-embed +$ ocamlc -output-obj -o embed_out.c embed_me1.ml embed_me2.ml +``` + +Embedding OCaml code like this lets you write OCaml that interfaces with any +environment that works with a C compiler. You can even cross back from the C +code into OCaml by using the `Callback` module to register named entry points +in the OCaml code. This is explained in detail in the +[interfacing with C](https://ocaml.org/manual/intfc.html) +section of the OCaml manual. + +## Compiling Fast Native Code + +The native code compiler is ultimately the tool that most production OCaml +code goes through. It compiles the lambda form into fast native code +executables, with cross-module inlining and additional optimization passes +that the bytecode interpreter doesn't perform. Care is taken to ensure +compatibility with the bytecode runtime, so the same code should run +identically when compiled with either toolchain. + +The `ocamlopt` command is the frontend to the native code compiler and has a +very similar interface to `ocamlc`. It also accepts `ml` and `mli` files, but +compiles them to: + +- A `.o` file containing native object code + +- A `.cmx` file containing extra information for linking and cross-module + optimization + +- A `.cmi` compiled interface file that is the same as the bytecode compiler + +When the compiler links modules together into an executable, it uses the +contents of the `cmx` files to perform cross-module inlining across +compilation units. This can be a significant speedup for standard library +functions that are frequently used outside of their module. + +Collections of `.cmx` and `.o` files can also be linked into a `.cmxa` +archive by passing the `-a` flag to the compiler. However, unlike the +bytecode version, you must keep the individual `cmx` files in the +compiler search path so that they are available for cross-module +inlining. If you don't do this, the compilation will still succeed, +but you will have missed out on an important optimization and have +slower binaries. + +### Inspecting Assembly Output + +The native code compiler generates assembly language that is then passed to +the system assembler for compiling into object files. You can get `ocamlopt` +to output the assembly by passing the `-S` flag to the compiler command +line. + +The assembly code is highly architecture-specific, so the following +discussion assumes an Intel or AMD 64-bit platform. We've generated the +example code using `-inline 20` and `-nodynlink` since it's best to generate +assembly code with the full optimizations that the compiler supports. Even +though these optimizations make the code a bit harder to read, it will give +you a more accurate picture of what executes on the CPU. Don't forget that +you can use the lambda code from earlier to get a slightly higher-level +picture of the code if you get lost in the more verbose assembly. + +#### The Impact of Polymorphic Comparison + +We warned you in [Maps And Hash +Tables](https://dev.realworldocaml.org/maps-and-hashtables.html#maps-and-hash-tables){data-type=xref} +that using polymorphic comparison is both convenient and +perilous. Let's look at precisely what the difference is at the +assembly language level now. + +First let's create a comparison function where we've explicitly annotated the +types, so the compiler knows that only integers are being compared: + +```ocaml file=examples/back-end/compare_mono.ml +let cmp (a:int) (b:int) = + if a > b then a else b +``` + +Now compile this into assembly and read the resulting `compare_mono.S` file. + +```sh dir=examples/back-end,skip +$ ocamlopt -S compare_mono.ml +``` + +This file extension may be lowercase on some platforms such as Linux. +If you've never seen assembly language before, then the contents may be +rather scary. While you'll need to learn x86 assembly to fully understand it, +we'll try to give you some basic instructions to spot patterns in this +section. The excerpt of the implementation of the `cmp` function can be found +below: + +``` +_camlCompare_mono__cmp_1008: + .cfi_startproc +.L101: + cmpq %rbx, %rax + jle .L100 + ret + .align 2 +.L100: + movq %rbx, %rax + ret + .cfi_endproc +``` + +The `_camlCompare_mono__cmp_1008` is an assembly label that has been computed +from the module name (`Compare_mono`) and the function name (`cmp_1008`). The +numeric suffix for the function name comes straight from the lambda form +(which you can inspect using `-dlambda`, but in this case isn't necessary). + +The arguments to `cmp` are passed in the `%rbx` and `%rax` registers, and +compared using the `jle` "jump if less than or equal" instruction. This +requires both the arguments to be immediate integers to work. Now let's see +what happens if our OCaml code omits the type annotations and is a +polymorphic comparison instead: + +```ocaml file=examples/back-end/compare_poly.ml +let cmp a b = + if a > b then a else b +``` + +Compiling this code with `-S` results in a significantly more complex +assembly output for the same function: + +``` +_camlCompare_poly__cmp_1008: + .cfi_startproc + subq $24, %rsp + .cfi_adjust_cfa_offset 24 +.L101: + movq %rax, 8(%rsp) + movq %rbx, 0(%rsp) + movq %rax, %rdi + movq %rbx, %rsi + leaq _caml_greaterthan(%rip), %rax + call _caml_c_call +.L102: + leaq _caml_young_ptr(%rip), %r11 + movq (%r11), %r15 + cmpq $1, %rax + je .L100 + movq 8(%rsp), %rax + addq $24, %rsp + .cfi_adjust_cfa_offset -24 + ret + .cfi_adjust_cfa_offset 24 + .align 2 +.L100: + movq 0(%rsp), %rax + addq $24, %rsp + .cfi_adjust_cfa_offset -24 + ret + .cfi_adjust_cfa_offset 24 + .cfi_endproc +``` + +The `.cfi` directives are assembler hints that contain Call Frame Information +that lets the debugger provide more sensible backtraces, and they have no +effect on runtime performance. Notice that the rest of the implementation is +no longer a simple register comparison. Instead, the arguments are pushed on +the stack (the `%rsp` register), and a C function call is invoked by placing +a pointer to `caml_greaterthan` in `%rax` and jumping to `caml_c_call`. + +OCaml on x86_64 architectures caches the location of the minor heap in the +`%r15` register since it's so frequently referenced in OCaml functions. The +minor heap pointer can also be changed by the C code that's being called +(e.g., when it allocates OCaml values), and so `%r15` is restored after +returning from the `caml_greaterthan` call. Finally, the return value of the +comparison is popped from the stack and returned. + +#### Benchmarking Polymorphic Comparison + +You don't have to fully understand the intricacies of assembly language to +see that this polymorphic comparison is much heavier than the simple +monomorphic integer comparison from earlier. Let's confirm this hypothesis +again by writing a quick `Core_bench` test with both functions: + +```ocaml file=examples/back-end/bench_poly_and_mono/bench_poly_and_mono.ml +open Core +open Core_bench + +let polymorphic_compare () = + let cmp a b = Stdlib.(if a > b then a else b) in + for i = 0 to 1000 do + ignore(cmp 0 i) + done + +let monomorphic_compare () = + let cmp (a:int) (b:int) = Stdlib.(if a > b then a else b) in + for i = 0 to 1000 do + ignore(cmp 0 i) + done + +let tests = + [ "Polymorphic comparison", polymorphic_compare; + "Monomorphic comparison", monomorphic_compare ] + +let () = + List.map tests ~f:(fun (name,test) -> Bench.Test.create ~name test) + |> Bench.make_command + |> Command_unix.run +``` + +Running this shows quite a significant runtime difference between the two: + +```sh dir=examples/back-end/bench_poly_and_mono,non-deterministic=command +$ dune exec -- ./bench_poly_and_mono.exe -ascii -quota 1 +Estimated testing time 2s (2 benchmarks x 1s). Change using '-quota'. + + Name Time/Run Percentage + ------------------------ ------------ ------------ + Polymorphic comparison 4_050.20ns 100.00% + Monomorphic comparison 471.75ns 11.65% + +``` + +We see that the polymorphic comparison is close to 10 times slower! These +results shouldn't be taken too seriously, as this is a very narrow test that, +like all such microbenchmarks, isn't representative of more complex +codebases. However, if you're building numerical code that runs many +iterations in a tight inner loop, it's worth manually peering at the produced +assembly code to see if you can hand-optimize it. + +
+ +#### Accessing Stdlib Modules from Within Core + +In the benchmark above comparing polymorphic and monomorphic +comparison, you may have noticed that we prepended the comparison +functions with `Stdlib`. This is because the Core module explicitly +redefines the `>` and `<` and `=` operators to be specialized for +operating over `int` types, as explained in [Maps and +Hashtables](https://dev.realworldocaml.org/maps-and-hashtables.html#the-polymorphic-comparator){data-type=xref}. +You can always recover any of the OCaml standard library functions by +accessing them through the `Stdlib` module, as we did in our +benchmark. +
+ + +### Debugging Native Code Binaries + +The native code compiler builds executables that can be debugged using +conventional system debuggers such as GNU `gdb`. You need to compile your +libraries with the `-g` option to add the debug information to the output, +just as you need to with C compilers. + +Extra debugging information is inserted into the output assembly when the +library is compiled in debug mode. These include the CFI stubs you will have +noticed in the profiling output earlier (`.cfi_start_proc` and +`.cfi_end_proc` to delimit an OCaml function call, for example). + +#### Understanding Name Mangling + +So how do you refer to OCaml functions in an interactive debugger like +`gdb`? The first thing you need to know is how OCaml function names compile +down to symbol names in the compiled object files, a procedure generally +called *name mangling*. + +Each OCaml source file is compiled into a native object file that must export +a unique set of symbols to comply with the C binary interface. This means +that any OCaml values that may be used by another compilation unit need to be +mapped onto a symbol name. This mapping has to account for OCaml language +features such as nested modules, anonymous functions, and variable names that +shadow one another. + +The conversion follows some straightforward rules for named variables and +functions: + +- The symbol is prefixed by `caml` and the local module name, with dots + replaced by underscores. + +- This is followed by a double `__` suffix and the variable name. + +- The variable name is also suffixed by a `_` and a number. This is the + result of the lambda compilation, which replaces each variable name with a + unique value within the module. You can determine this number by examining + the `-dlambda` output from `ocamlopt`. + +Anonymous functions are hard to predict without inspecting intermediate +compiler output. If you need to debug them, it's usually easier to modify the +source code to let-bind the anonymous function to a variable name. + +#### Interactive Breakpoints with the GNU Debugger + +Let's see name mangling in action with some interactive debugging using GNU +`gdb`. + +Let's write a mutually recursive function that selects alternating values +from a list. This isn't tail-recursive, so our stack size will grow as we +single-step through the execution: + +```ocaml file=examples/back-end/alternate_list/alternate_list.ml +open Core + +let rec take = + function + |[] -> [] + |hd::tl -> hd :: (skip tl) +and skip = + function + |[] -> [] + |_::tl -> take tl + +let () = + take [1;2;3;4;5;6;7;8;9] + |> List.map ~f:string_of_int + |> String.concat ~sep:"," + |> print_endline +``` + +Compile and run this with debugging symbols. You should see the following +output: + +```scheme file=examples/back-end/alternate_list/dune +(executable + (name alternate_list) + (libraries core)) +``` + + + +```sh dir=examples/back-end/alternate_list +$ dune build alternate_list.exe +$ ./_build/default/alternate_list.exe -ascii -quota 1 +1,3,5,7,9 +``` + +Now we can run this interactively within `gdb`: + +``` +$ gdb ./alternate_list.native +GNU gdb (GDB) 7.4.1-debian +Copyright (C) 2012 Free Software Foundation, Inc. +License GPLv3+: GNU GPL version 3 or later +This is free software: you are free to change and redistribute it. +There is NO WARRANTY, to the extent permitted by law. Type "show copying" +and "show warranty" for details. +This GDB was configured as "x86_64-linux-gnu". +For bug reporting instructions, please see: +... +Reading symbols from /home/avsm/alternate_list.native...done. +(gdb) +``` + +The `gdb` prompt lets you enter debug directives. Let's set the program to +break just before the first call to `take`: + +``` +(gdb) break camlAlternate_list__take_69242 +Breakpoint 1 at 0x5658d0: file alternate_list.ml, line 5. +``` + +We used the C symbol name by following the name mangling rules defined +earlier. A convenient way to figure out the full name is by tab completion. +Just type in a portion of the name and press the key to see a list of +possible completions. + +Once you've set the breakpoint, start the program executing: + +``` +(gdb) run +Starting program: /home/avsm/alternate_list.native +[Thread debugging using libthread_db enabled] +Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1". + +Breakpoint 1, camlAlternate_list__take_69242 () at alternate_list.ml:5 +4 function +``` + +The binary has run until the first `take` invocation and stopped, +waiting for further instructions. GDB has lots of features, so let's +continue the program and check the backtrace after a couple of +recursions: + +``` +(gdb) cont +Continuing. + +Breakpoint 1, camlAlternate_list__take_69242 () at alternate_list.ml:5 +4 function +(gdb) cont +Continuing. + +Breakpoint 1, camlAlternate_list__take_69242 () at alternate_list.ml:5 +4 function +(gdb) bt +#0 camlAlternate_list__take_69242 () at alternate_list.ml:4 +#1 0x00000000005658e7 in camlAlternate_list__take_69242 () at alternate_list.ml:6 +#2 0x00000000005658e7 in camlAlternate_list__take_69242 () at alternate_list.ml:6 +#3 0x00000000005659f7 in camlAlternate_list__entry () at alternate_list.ml:14 +#4 0x0000000000560029 in caml_program () +#5 0x000000000080984a in caml_start_program () +#6 0x00000000008099a0 in ?? () +#7 0x0000000000000000 in ?? () +(gdb) clear camlAlternate_list__take_69242 +Deleted breakpoint 1 +(gdb) cont +Continuing. +1,3,5,7,9 +[Inferior 1 (process 3546) exited normally] +``` + +The `cont` command resumes execution after a breakpoint has paused it, +`bt` displays a stack backtrace, and `clear` deletes the breakpoint so the +application can execute until completion. GDB has a host of other features we +won't cover here, but you can view more guidelines via Mark Shinwell's talk +on +["Real-world debugging in OCaml."](http://www.youtube.com/watch?v=NF2WpWnB-nk%3C) + +One very useful feature of OCaml native code is that C and OCaml share the +same stack. This means that GDB backtraces can give you a combined view of +what's going on in your program *and* runtime library. This includes any +calls to C libraries or even callbacks into OCaml from the C layer if you're +in an environment which embeds the OCaml runtime as a library. + + +### Profiling Native Code + +The recording and analysis of where your application spends its execution +time is known as *performance profiling*. OCaml native code binaries can be +profiled just like any other C binary, by using the name mangling described +earlier to map between OCaml variable names and the profiler output. + +Most profiling tools benefit from having some instrumentation included in the +binary. OCaml supports two such tools: + +- GNU `gprof`, to measure execution time and call graphs + +- The [Perf](https://perf.wiki.kernel.org/) profiling framework in modern + versions of Linux + +Note that many other tools that operate on native binaries, such as Valgrind, +will work just fine with OCaml as long as the program is linked with the +`-g` flag to embed debugging symbols. + +#### Gprof + +`gprof` produces an execution profile of an OCaml program by recording a call +graph of which functions call one another, and recording the time these calls +take during the program execution. + +Getting precise information out of `gprof` requires passing the `-p` flag to +the native code compiler when compiling *and* linking the binary. This +generates extra code that records profile information to a file called +`gmon.out` when the program is executed. This profile information can then be +examined using `gprof`. + +#### Perf + +Perf is a more modern alternative to `gprof` that doesn't require you to +instrument the binary. Instead, it uses hardware counters and debug +information within the binary to record information accurately. + +Run Perf on a compiled binary to record information first. We'll use our +write barrier benchmark from earlier, which measures memory allocation versus +in-place modification: + +``` +$ perf record -g ./barrier_bench.native +Estimated testing time 20s (change using -quota SECS). + + Name Time (ns) Time 95ci Percentage + ---- --------- --------- ---------- + mutable 7_306_219 7_250_234-7_372_469 96.83 + immutable 7_545_126 7_537_837-7_551_193 100.00 + +[ perf record: Woken up 11 times to write data ] +[ perf record: Captured and wrote 2.722 MB perf.data (~118926 samples) ] +perf record -g ./barrier.native +Estimated testing time 20s (change using -quota SECS). + + Name Time (ns) Time 95ci Percentage + ---- --------- --------- ---------- + mutable 7_306_219 7_250_234-7_372_469 96.83 + immutable 7_545_126 7_537_837-7_551_193 100.00 + +[ perf record: Woken up 11 times to write data ] +[ perf record: Captured and wrote 2.722 MB perf.data (~118926 samples) ] +``` + +When this completes, you can interactively explore the results: + +``` +$ perf report -g ++ 48.86% barrier.native barrier.native [.] camlBarrier__test_immutable_69282 ++ 30.22% barrier.native barrier.native [.] camlBarrier__test_mutable_69279 ++ 20.22% barrier.native barrier.native [.] caml_modify +``` + +This trace broadly reflects the results of the benchmark itself. The mutable +benchmark consists of the combination of the call to `test_mutable` and the +`caml_modify` write barrier function in the runtime. This adds up to slightly +over half the execution time of the application. + +Perf has a growing collection of other commands that let you archive these +runs and compare them against each other. You can read more on the +[home page](http://perf.wiki.kernel.org). + +
+ +#### Using the Frame Pointer to Get More Accurate Traces + +Although Perf doesn't require adding in explicit probes to the binary, it +does need to understand how to unwind function calls so that the kernel can +accurately record the function backtrace for every event. +Since Linux 3.9 the kernel has had support for using DWARF debug information +to parse the program stack, which is emitted when the `-g` flag is passed +to the OCaml compiler. For even more accurate stack parsing, we need +the compiler to fall back to using the same conventions as C for +function calls. On 64-bit Intel systems, this means that a special register +known as the *frame pointer* is used to record function call history. +Using the frame pointer in this fashion means a slowdown (typically around +3-5%) since it's no longer available for general-purpose use. + +OCaml thus +makes the frame pointer an optional feature that can be used to improve the +resolution of Perf traces. +opam provides a compiler switch that compiles OCaml with the frame pointer +activated: + +```sh skip +$ opam switch create 4.13+fp ocaml-variants.4.13.1+options ocaml-option-fp +``` + +Using the frame pointer changes the OCaml calling convention, but opam takes +care of recompiling all your libraries with the new interface. +
+ + +### Embedding Native Code in C + +The native code compiler normally links a complete executable, but can also +output a standalone native object file just as the bytecode compiler can. +This object file has no further dependencies on OCaml except for the runtime +library. + +The native code runtime is a different library from the bytecode one, and is +installed as `libasmrun.a` in the OCaml standard library directory. + +Try this custom linking by using the same source files from the bytecode +embedding example earlier in this chapter: + +``` +$ ocamlopt -output-obj -o embed_native.o embed_me1.ml embed_me2.ml +$ gcc -Wall -I `ocamlc -where` -o final.native embed_native.o main.c \ + -L `ocamlc -where` -lasmrun -ltermcap -lm -ldl +$ ./final.native +Before calling OCaml +hello embedded world 1 +hello embedded world 2 +After calling OCaml +``` + +The `embed_native.o` is a standalone object file that has no further +references to OCaml code beyond the runtime library, just as with the +bytecode runtime. Do remember that the link order of the libraries is +significant in modern GNU toolchains (especially as used in Ubuntu 11.10 and +later) that resolve symbols from left to right in a single +pass. + +
+ +#### Activating the Debug Runtime + +Despite your best efforts, it is easy to introduce a bug into some +components, such as C bindings, that causes heap invariants to be violated. +OCaml includes a `libasmrund.a` variant of the runtime library which is +compiled with extra debugging checks that perform extra memory integrity +checks during every garbage collection cycle. Running these extra checks will +abort the program nearer the point of corruption and help isolate the bug in +the C code. + +To use the debug library, just link your program with the +`-runtime-variant d` flag: +
+ +```sh dir=examples/back-end-embed,non-deterministic=output +$ ocamlopt -runtime-variant d -verbose -o hello.native hello.ml ++ as -o 'hello.o' '/tmp/build_cd0b96_dune/camlasmd3c336.s' ++ as -o '/tmp/build_cd0b96_dune/camlstartup9d55d0.o' '/tmp/build_cd0b96_dune/camlstartup2b2cd3.s' ++ gcc -O2 -fno-strict-aliasing -fwrapv -pthread -Wall -Wdeclaration-after-statement -fno-common -fexcess-precision=standard -fno-tree-vrp -ffunction-sections -Wl,-E -o 'hello.native' '-L/home/yminsky/.opam/rwo-4.13.1/lib/ocaml' '/tmp/build_cd0b96_dune/camlstartup9d55d0.o' '/home/yminsky/.opam/rwo-4.13.1/lib/ocaml/std_exit.o' 'hello.o' '/home/yminsky/.opam/rwo-4.13.1/lib/ocaml/stdlib.a' '/home/yminsky/.opam/rwo-4.13.1/lib/ocaml/libasmrund.a' -lm -ldl +$ ./hello.native +### OCaml runtime: debug mode ### +Initial minor heap size: 256k words +Initial major heap size: 992k bytes +Initial space overhead: 120% +Initial max overhead: 500% +Initial heap increment: 15% +Initial allocation policy: 2 +Initial smoothing window: 1 +Hello OCaml World! +``` + +## Summarizing the File Extensions + +We've seen how the compiler uses intermediate files to store various stages +of the compilation toolchain. Here's a cheat sheet of all them in one place. + +- `.ml` are source files for compilation unit module implementations. +- `.mli` are source files for compilation unit module interfaces. If + missing, generated from the `.ml` file. +- `.cmi` are compiled module interface from a corresponding `.mli` + source file. +- `.cmo` are compiled bytecode object file of the module + implementation. +- `.cma` are a library of bytecode object files packed into a single + file. +- `.o` are C source files that have been compiled into native object + files by the system `cc`. +- `.cmt` are the typed abstract syntax tree for module + implementations. +- `.cmti` are the typed abstract syntax tree for module interfaces. +- `.annot` are old-style annotation file for displaying `typed`, + superseded by `cmt` files. + +The native code compiler also generates some additional files. + +- `.o` are compiled native object files of the module implementation. +- `.cmx` contains extra information for linking and cross-module + optimization of the object file. +- `.cmxa` and `.a` are libraries of `cmx` and `o` units, stored in the + `cmxa` and `a` files respectively. These files are always needed + together. +- `.S` or `.s` are the assembly language output if `-S` is specified. diff --git a/src/ocamlorg_data/data.mli b/src/ocamlorg_data/data.mli index 79727750ea..c9c9837a82 100644 --- a/src/ocamlorg_data/data.mli +++ b/src/ocamlorg_data/data.mli @@ -211,6 +211,14 @@ module Tutorial : sig end type toc = { title : string; href : string; children : toc list } + type contribute_link = { url : string; description : string } + type banner = { image : string; url : string; alt : string } + + type external_tutorial = { + tag : string; + banner : banner; + contribute_link : contribute_link; + } type t = { title : string; @@ -219,6 +227,7 @@ module Tutorial : sig description : string; section : Section.t; category : string; + external_tutorial : external_tutorial option; body_md : string; toc : toc list; body_html : string; diff --git a/src/ocamlorg_frontend/components/learn_components.eml b/src/ocamlorg_frontend/components/learn_components.eml index c3b23950de..0bba641747 100644 --- a/src/ocamlorg_frontend/components/learn_components.eml +++ b/src/ocamlorg_frontend/components/learn_components.eml @@ -189,11 +189,11 @@ let tool_card ~img_src ~title ~text ~url = <%s! Icons.arrow_right_circle "h-5 w-5" %> -let contribute_footer ~href = +let contribute_footer ~href ~description =

Help Improve Our Documentation

-

All OCaml docs are open source. See something that's wrong or unclear? Submit a pull request.

+

<%s description %>

t.tag) tutorial.external_tutorial) in + let tutorial_sidebar_links_by_category category = + tutorials |> List.filter (fun (x : Data.Tutorial.t) -> x.category = category) |> List.map render_tutorial |> String.concat "\n" + in + let categories = + let unique lst = + let rec unique' acc = function + | [] -> List.rev acc + | h::t -> unique' (if List.mem h acc then acc else h :: acc) t + in + unique' [] lst + in + tutorials |> List.map (fun (tutorial : Data.Tutorial.t) -> tutorial.category) |> unique + in + <% if section = Platform then ( %> + <%s! Learn_layout.sidebar_link_group "Platform" + (tutorial_sidebar_links_by_category "platform") + ~extra_html:( + (render_tutorial_link ~title:"Overview" ~slug:"platform" ~tag:None)) %> + <% ); %> + + <% categories |> List.iter (fun category -> %> + <%s! Learn_layout.sidebar_link_group category + (tutorial_sidebar_links_by_category category) %> + <% ); %> + + <% if section = Guides then ( %> + <%s! Learn_layout.sidebar_link_group "Is OCaml Yet" + (tutorial_sidebar_links_by_category "is-ocaml-yet") + ~extra_html:( + (render_tutorial_link ~title:"Is OCaml web yet?" ~slug:"is-ocaml-web-yet") ~tag:None) %> + <% ); %> diff --git a/src/ocamlorg_frontend/layouts/learn_layout.eml b/src/ocamlorg_frontend/layouts/learn_layout.eml index d795422538..d46af2c989 100644 --- a/src/ocamlorg_frontend/layouts/learn_layout.eml +++ b/src/ocamlorg_frontend/layouts/learn_layout.eml @@ -80,8 +80,16 @@ let sidebar ~tutorials ~(section: section) = - let sidebar_link ~title ~href ~current = + let sidebar_link ~title ~href ~current ~tag = + let render_tag tag = match tag with + | None -> "" + | Some t -> + + <%s t %> + + in + <%s! render_tag tag %> <%s title %> in @@ -95,7 +103,7 @@ let sidebar let render_tutorial_link ~title ~slug = sidebar_link ~title ~href:(Url.tutorial slug) ~current:(current_tutorial = Some (slug)) in - let render_tutorial (tutorial : Data.Tutorial.t) = render_tutorial_link ~title:tutorial.title ~slug:tutorial.slug in + let render_tutorial (tutorial : Data.Tutorial.t) = render_tutorial_link ~title:tutorial.title ~slug:tutorial.slug ~tag:(Option.map (fun (et: Data.Tutorial.external_tutorial) -> et.tag) tutorial.external_tutorial) in let tutorial_sidebar_links_by_category category = tutorials |> List.filter (fun (x : Data.Tutorial.t) -> x.category = category) |> List.map render_tutorial |> String.concat "\n" in @@ -113,7 +121,7 @@ let sidebar <%s! sidebar_link_group "Platform" (tutorial_sidebar_links_by_category "platform") ~extra_html:( - (render_tutorial_link ~title:"Overview" ~slug:"platform")) %> + (render_tutorial_link ~title:"Overview" ~slug:"platform" ~tag:None)) %> <% ); %> <% categories |> List.iter (fun category -> %> @@ -125,7 +133,7 @@ let sidebar <%s! sidebar_link_group "Is OCaml Yet" (tutorial_sidebar_links_by_category "is-ocaml-yet") ~extra_html:( - (render_tutorial_link ~title:"Is OCaml web yet?" ~slug:"is-ocaml-web-yet")) %> + (render_tutorial_link ~title:"Is OCaml web yet?" ~slug:"is-ocaml-web-yet" ~tag:None)) %> <% ); %> let single_column_layout diff --git a/src/ocamlorg_frontend/pages/is_ocaml_yet.eml b/src/ocamlorg_frontend/pages/is_ocaml_yet.eml index ad9346e766..db615c3dac 100644 --- a/src/ocamlorg_frontend/pages/is_ocaml_yet.eml +++ b/src/ocamlorg_frontend/pages/is_ocaml_yet.eml @@ -80,5 +80,5 @@ Learn_layout.three_column_layout <% ); %>
- <%s! Learn_components.contribute_footer ~href:("https://github.com/ocaml/ocaml.org/tree/main/data/is_ocaml_yet/"^ meta.id ^ ".md") %> + <%s! Learn_components.contribute_footer ~href:("https://github.com/ocaml/ocaml.org/tree/main/data/is_ocaml_yet/"^ meta.id ^ ".md") ~description:"All OCaml docs are open source. See something that's wrong or unclear? Submit a pull request." %>
diff --git a/src/ocamlorg_frontend/pages/tutorial.eml b/src/ocamlorg_frontend/pages/tutorial.eml index d65170768a..908365a518 100644 --- a/src/ocamlorg_frontend/pages/tutorial.eml +++ b/src/ocamlorg_frontend/pages/tutorial.eml @@ -43,6 +43,21 @@ let render ~related_exercises ~canonical = +let href, description = match tutorial.external_tutorial with + | None -> + "https://github.com/ocaml/ocaml.org/blob/"^ Commit.hash ^"/data/"^ tutorial.fpath, + "All OCaml docs are open source. See something that's wrong or unclear? Submit a pull request." + | Some external_tutorial -> + external_tutorial.contribute_link.url, + external_tutorial.contribute_link.description +in +let render_external_tutorial_banner (opt_external_tutorial : Data.Tutorial.external_tutorial option) = match opt_external_tutorial with + | None -> "" + | Some external_tutorial -> + + <%s external_tutorial.banner.alt %> + +in Learn_layout.three_column_layout ~title:(Printf.sprintf "%s ยท OCaml Documentation" tutorial.title) ~description:tutorial.description @@ -52,7 +67,8 @@ Learn_layout.three_column_layout ~right_sidebar_html:(Some(right_sidebar tutorial)) ~current:(of_tutorial_section tutorial.section) @@
+ <%s! render_external_tutorial_banner tutorial.external_tutorial %> <%s! tutorial.body_html %> <%s! render_related_exercises related_exercises %> - <%s! Learn_components.contribute_footer ~href:("https://github.com/ocaml/ocaml.org/blob/"^ Commit.hash ^"/data/"^ tutorial.fpath) %> + <%s! Learn_components.contribute_footer ~href ~description %>
diff --git a/tool/ood-gen/lib/tutorial.ml b/tool/ood-gen/lib/tutorial.ml index fe41549889..cc4c407316 100644 --- a/tool/ood-gen/lib/tutorial.ml +++ b/tool/ood-gen/lib/tutorial.ml @@ -13,11 +13,25 @@ end type toc = { title : string; href : string; children : toc list } [@@deriving show { with_path = false }] +type contribute_link = { url : string; description : string } +[@@deriving of_yaml, show { with_path = false }] + +type banner = { image : string; url : string; alt : string } +[@@deriving of_yaml, show { with_path = false }] + +type external_tutorial = { + tag : string; + contribute_link : contribute_link; + banner : banner; +} +[@@deriving of_yaml, show { with_path = false }] + type metadata = { id : string; title : string; description : string; category : string; + external_tutorial : external_tutorial option; } [@@deriving of_yaml] @@ -28,6 +42,7 @@ type t = { description : string; section : Section.t; category : string; + external_tutorial : external_tutorial option; toc : toc list; body_md : string; body_html : string; @@ -122,6 +137,20 @@ type toc = ; href : string ; children : toc list } +type contribute_link = + { url : string + ; description : string + } +type banner = + { image : string + ; url : string + ; alt : string + } +type external_tutorial = + { tag : string + ; banner : banner + ; contribute_link : contribute_link + } type t = { title : string ; fpath : string @@ -129,6 +158,7 @@ type t = ; description : string ; section : Section.t ; category : string + ; external_tutorial : external_tutorial option ; body_md : string ; toc : toc list ; body_html : string