September 2020 - Boost - lists.preview.boost.org

[JSON][Review] Boost Json Review
by Maximilian Riemensberger 21 Sep '20

21 Sep '20

My review is primarily from the perspective of a library consumer. I use boost libraries and JSON on a daily basis. But neither did I ever write a boost library nor a JSON library. # Boost JSON Review > Please provide in your review information you think is valuable to > understand your choice to ACCEPT or REJECT including JSON as a > Boost library. Please be explicit about your decision (ACCEPT or REJECT). I recommend ACCEPTing the library into boost. It's well designed, professionally implemented and fills an important use case. The library is well maintained and I trust the authors to keep doing so. The documentation is good, but I the reference documentation could use some improvements in a few spots. Individual reference sections appear copy-pasted a bit too aggressively, which is clearly good for the doc writer but not so much for the doc reader. I consider none of the issues below show-stoppers that would block acceptance into boost. This is also based in the experience that the authors are responsive in maintaining the library (and other libraries) and I trust them that they will use their best judgement and whether and how to address any issues. Brief side note: I'm a user of boost libraries and I consider boost a very important part of the C++ library ecosystem, in particular, for building reliable and long lasting software components and systems. It sets a high bar for acceptance. When using individual boost libraries, an important consideration is whether the library has aged well with the evolution of the C++ standard, whether it is currently well maintained and whether it will remain well maintained in the future. Here boost sometimes appears to be a bit of a mixed bag. So I consider the maintenance promise to be quite important and in particular more important than any of the issues raise below. I want to thank all the people involved in boost for keeping it alive, useful and high quality. > Some other questions you might want to consider answering: > > - What is your evaluation of the design? I evaluated primarily the DOM interface, that is the value container, but didn't look into the parser and serializer in detail. The design is solid and clear. Smaller issues raised on slack during the review have been addressed. I particularly like that it provides an easy to use, automatic ownership allocator interface. It relieves me from the pain of manually maintaining the life-time of non-global memory pools etc. Minor comments: - The `value::is_xxx` functions inconsistently return bools or pointers. This can have unexpected consequences if they are use from a context that does not implicitly convert to bool. Also I really can't remember which one returns what. For example, `is_null`, `is_bool`, `is_number`, `is_string`, `is_structured` returns a really nice mix. (Fixed on develop) - The library provides `initializer_list` construction for `value`. I personally would prefer it wouldn't do that. Too many pitfalls with a missing pair of braces causing the meaning to change quite dramatically. Still I think many expect them in modern JSON libs. So it's up to the authors. - The library is inconsistent about `shrink_to_fit`. `object does not have it, `array` has it. Also the documentation does not state what `shrink_to_fit` does, basically repeating the errors of `std::vector`. I firmly believe that the function should either be removed or clear and precise semantics should be documented. In it's current state the following question comes to mind: Why would I ever want to call it? > - What is your evaluation of the implementation? I looked at the implementation of the `value` container. I did not look into the parser and serializer. The implementation appears clean and professional. The authors responded quickly to issues raised while studying the source code. > - What is your evaluation of the documentation? The documentation is generally good and well structured. However, the reference is occasionally pretty terse. Some parts of it are written with the assumption that any user going to the reference section has recently read the entire documentation including examples upfront. Some comments (mostly against master and develop from early Sep 20): * `value::storage()` should say: Return a reference to the `storage_ptr` to the `memory_resource` associated with the value. The same thing applies to a few other classes. * The reference for the `initializer_list` constructor could use some improvements: e.g. "Construct an object or array from an `initializer_list`". I find this hugely important since just the mere presence of an `initializer_list` constructor changes the meaning of brace initialization. * Additionally, I doesn't mention how nested `initializer_list` how are treated. Most importantly it should show or link to some examples on how the `initializer_list` are converted to objects, arrays, and non structured values because some developers (if not most) might not immediately realize from just looking at the reference documentation how nested `initializer_list` are parsed. Maybe also reference to the `initializer_list` constructors of `array` and `object`. * `object::insert` is not well-documented. I did not understand what it does when I insert an already existing key, in particular, whether assignment takes place or not. The same is true for `object::emplace`. * The `object` initializer constructor is listed under "Copy constructor". * The `object::erase` return value documentation is wrong. * `object::reserve` says "This inserts an element into the container." * `object::swap(object)` and the friend version `swap(object,object)` have rather inconsistent briefs. * The initializer_list constructor for array is listed under move constructors. * The pilfer constructors are not quite explained. There's a reference to the paper, but I think the library should have a page that concisely explains what it does and what a user of the library can expect from pilfered objects. In particular, how the thing differs from move and why a user would ever want to use it instead of move. Also the reference pages for pilfer and so on don't explain what it does. * `array::reserve` shows `BOOST_FORCEINLINE` in the docs. * `value_to` is unclear about the precedence of the three listed options (constructor, library provided conversion or `tag_invoke`) if multiple are present provided this is actually possible. The same is true for `value_from`. * `storage_ptr` thread safety is not documented. That's a real bummer for a `shared_ptr`-like construct. * I found it rather difficult to figure out the difference in the behavior of `parser::write` and `parser::write_some` just from reading the documentation. Either reference documentation should clearly state what the difference is. I had to open both pages side by side to actually spot the wording difference. For example, I think that the documentation of `write_some` should clearly state that it's intended use case is for parsing multiple JSON values from a byte stream presented through one or more buffers whereas `write` is intended for parsing one JSON value from one or more buffers. At least that's what I concluded from the documentation after some time. * The `parser` documentation should either link to or inline provide one or more examples how the parser is supposed to be used. In particular `write_some` would benefit hugely from an example that shows how to properly extract a stream of JSON values from a sequence of buffers. * If I read the documentation correctly, `basic_parser::write` behave more like `parser::write_some` than `parser::write`. I would prefer the call it `basic_parser::write_some`. * The `basic_parser` reference documentation would benefit from either a link to an example or an inline example. > - What is your evaluation of the potential usefulness of the library? I think the library supports a very narrow yet widespread use-case. It offers a modern interface and high performance. So I will definitely use and I believe it will also be useful to a wide audience. > - Did you try to use the library? With which compiler(s)? Did you have > any problems? I played with it in its STANDALONE mode with gcc 9.3. > - How much effort did you put into your evaluation? A glance? A quick > reading? In-depth study? Roughly 5 hours playing with small examples, but mostly looking into the documentation and into the code of `json::value` and related parts of the DOM implementation. > - Are you knowledgeable about the problem domain? I use JSON on a regular basis across different languages including c++ (mostly nlohmann's up to date). I've not implemented a JSON library myself. Kind regards, Max

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[review][JSON] Boost.JSON Review starts Sept 14
by Pranam Lashkari 20 Sep '20

20 Sep '20

The boost formal review for JSON will take place from Sept 14, 2020 to Sept 23, 2020. JSON is authored by Vinnie Falco (author: boost beast and Static String), Krystian Stasiowski(author: Static String) and submitted with of Peter Dimov(author: Too many libraries to mention 😛) The use of JSON format to share the data is getting bigger and wider because it is lightweight and it's supported cross-platform and many more. JSON has numbers of uses and to make our life easy to deal with it in C++ this library is introduced. Documentation can be found here: <http://vinniefalco.github.io/doc/json/> It includes examples, usage and comparison. Documentation is still under progress but still provides enough information. Official repository: <https://github.com/CPPAlliance/json> Glad to address any questions or issues, here or in the repo: <https://github.com/CPPAlliance/json/issues/> The purpose of this announcement is to give people some time to start looking at the documentation and source code for the library. Feel free to begin asking questions. Most of all, get involved! Nowadays most of us(assuming) would have dealt with the JSON in one way or another. Tell the Boost community what you think of JSON. -- Thank you, Pranam Lashkari, https://lpranam.github.io/

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Reviewing Boost.JSON
by Vinícius dos Santos Oliveira 19 Sep '20

19 Sep '20

I'm gonna use a perhaps unusual text structure for this review. Consuming text is a tiring activity that demands energy. Having that in mind, I ignored the order in which the library is presented through the docs and moved all trivial concepts discussion to the end. That's my attempt to make sure the message gets through while the reader still has it -- the energy. ## A short introduction to pull parsers vs push parsers The act of parsing an incoming stream will generate events from a predefined set. Users match the generated events against rules to trigger actions. For the following JSON sample: ```json { "foo" : 42 , "bar" : 33 } ``` One of such event streams could be: ``` begin_object -> string_key -> number -> string_key -> number -> end_object ``` The essential difference between pull parsers and push parsers is how this event stream is delivered. A push parser (a.k.a. SAX parsers) uses the callback handler model. A pull parser (a.k.a. StAX parsers) stores the current parsing state and allows the user to query this state. Essentially every push parser has an implicit pull parser that doesn't get exposed to the user. This is to say that a push parser would be implemented in the lines of: ```cpp // parsing loop while (it != end) { match_token(); dispatch_token(user_handlers); } ``` Whereas a pull parser doesn't have the loop construct above, just its body. The loop construct would be under user-control. That's why pull parsers are the more fundamental model. A push parser can be built on top of a pull parser, but not the inverse. Concrete examples will be shown later in this text. ## Performance: a common misconception Some push parsing proponents believe pull parsers are slower. This belief is unsubstantiated. As we have seen in the previous section, a push parser is always built on top of an implicit pull parser. The only thing that differs them both is that a small part of the parser logic under the pulling model moves out of the interface to become user code. That's the only difference. One of the arguments brought by push parser proponents is the ability to merge matching and decoding steps to perform less work. We can use the previous sample to illustrate this idea: ``` { "foo" : 42 , "bar" : 33 } ^^^^^ ``` If we are to decode the `"foo"` token above, the parser first needs to discover where the token begins and where the token ends. This is the required matching step that every parser needs to perform. JSON strings can be escaped and one such example would be: ```json "na\u00EFve" ``` The decoding steps take care of converting escaped string slices to unescaped ones. So user code would receive 3 string runs while this token is being decoded: - "na" - "ï" - "ve" The parser does not allocate any memory to decode any string. The slices are feeded to the user who in turns is responsible to put them together (possibly allocating heap memory). The idea here is... having separate match and decode steps forces the parser to walk over the tokens twice. For Boost.JSON, the merged match and decode steps materialize in the `on_string_part()` (and `on_string()`) callback: ```cpp bool on_string_part(string_view v, std::size_t, error_code& ec) { current_str.append(v.data(), v.size()); return true; } ``` For a pull parser with _separate_ match and decode steps the interface would be in the lines of: ```cpp reader.next(); if (reader.kind() == token::string) reader.string(current_str); ``` But as we've seen before, the only difference between pull and push parsers is something else. Any features lateral to this classification originate from different taxonomies. Just as a push parser can merge the matching and decoding steps so can a pull parser: ```cpp // A new overload. // // `my_match_options` here would provide // the string collector upfront. reader.next(my_match_options); ``` Another small note here is that just as merging matching and decoding steps can be beneficial performance-wise so can skipping the whole decoding step. I'll be touching on this very idea again in the section below. Appendix A will present how another feature from Boost.JSON can be implemented in pull parsers: strings split among different buffers. ## The case for pull parsers So far we've only been exposed to the difference between push parsers and pull parsers, but there wasn't a case for which choice is ideal (aside from the naturally understood concept that pull parsers are more fundamental and push parsers can be built on top when desired). The defining trait present in pull parsers that is impossible to replicate in push parsers is their ability to compose algorithms. Composition is enabled by temporarily handing over the token stream to a different consumer. Not every consumer needs to know how to process every part of the stream. That's a trait impossible to find in push parsers. I have created a [gawk](https://www.gnu.org/software/gawk/) plug-in to illustrate this property. The same plug-in was implemented several times using different libraries/approaches. I incrementally added more features under different branches (there are 8 branches in total). You can find a rationale for the AWK choice in Appendix B by the end of this review. The plugin's code can be found at <https://gitlab.com/vinipsmaker/gawk-jsonstream-archive>. And you may forgive my beginner code, but I had no experience to write gawk plug-ins beforehand. That's my first. AWK is a C-like language (in syntax) where you define pattern-action pairs. You can find a quick'n'dirty introduction to the language from Wikipedia. This plug-in adds JSON capabilities to the tool. Given the following data-set: ``` {"name": "Beth", "pay_rate": 4.00, "hours_worked": 0} {"name": "Dan", "pay_rate": 3.75, "hours_worked": 0} {"name": "Kathy", "pay_rate": 4.00, "hours_worked": 10} {"name": "Mark", "pay_rate": 5.00, "hours_worked": 20} {"name": "Mary", "pay_rate": 5.50, "hours_worked": 22} {"name": "Susie", "pay_rate": 4.25, "hours_worked": 18} ``` And the following AWK program (with this plug-in loaded): ```awk BEGIN { JPAT[1] = "/name" JPAT[2] = "/pay_rate" JPAT[3] = "/hours_worked" } J[3] > 0 { print J[1], J[2] * J[3] } ``` The output will be: ``` Kathy 40 Mark 100 Mary 121 Susie 76.5 ``` The paths for the JSON tree are given in [standard JSON Pointer](https://tools.ietf.org/html/rfc6901) syntax. That's the plugin's core and it's the code that doesn't change among branches, so it's the appropriate place to begin the explanation. In the file `jpat.ypp` you'll find a `read_jpat()` function that gets called for each record. There's some boilerplate in the beginning to bail out earlier if there were no changes to `JPAT`. Then there is this snippet that gets processed by [re2c](https://re2c.org/) to generate valid C++ code: ```cpp * { if (*begin != '\0') return bad_path(); jpat[i].components.emplace_back(std::move(current_component)); goto end; } {prefix} { jpat[i].components.emplace_back(std::move(current_component)); current_component = std::string{}; goto loop; } {unescaped} { current_component.append(begin, YYCURSOR - begin); goto loop; } {escaped_tilde} { current_component.push_back('~'); goto loop; } {escaped_slash} { current_component.push_back('/'); goto loop; } ``` The definitions for the data structures follow: ```cpp struct Path { std::vector<std::string> components; awk_value_cookie_t cookie = nullptr; awk_string_t orig; }; struct Tree: std::map<std::string, std::variant<Tree, size_t>> {}; static std::vector<Path> jpat; Tree tree; ``` By the end of the re2c-generated loop, the variable `jpat` will be filled. Then there is some validation/sanitization steps and we start to fill the `tree` variable out of the extracted paths. `tree` is a decision tree auxiliary to the process of parsing the JSON documents. Leaf nodes represent which index in the `J` AWK variable will receive that value. Given the following `JPAT`: ```awk JPAT[1] = "/foo/bar" JPAT[2] = "/foobar" ``` `tree` will have the following properties (pseudocode): ```cpp // AWK arrays are 1-indexed, so the code // translation has a 1-element offset assert(tree["foo"]["bar"] == 0); assert(tree["foobar"] == 1); ``` The user may find other uses for a JSON decision tree in Appendix C. And here is where the code branches diverge. So let's present an overview and then walk them one-by-one (or two-by-two): ``` +------------+---------------+--------------+ | | Boost.JSON | pull parser | +------------+---------------+--------------+ | basic | boostjson | master | | dom | boostjson-dom | | | transform | boostjson2-b | master2 | | transform2 | boostjson3 | master3 | +------------+---------------+--------------+ ``` The `master` branch is just 506 lines of C++ code total and `boostjson` is 613 lines. The description for the other branches follow: - `dom`: built after `basic`. This branch is useful to highlight performance differences between the DOM parser and the rest. - `transform`: `boostjson2-b` is built on top of `boostjson-dom` branch. `master2` is built on top of `master` branch. It adds the power to update the JSON document. Here we start to notice how the ability to mark certain points in the token stream are important for a JSON library. - `transform2`: built on top of the previous branch, it adds the `JUNWIND` operation in the likes of MongoDB's `$unwind` operator. The first thing I'll do is to compare the DOM parsing layer cost. [There's this 161MiB JSON file that'll be used](https://drive.google.com/file/d/1-lVxGYWvvmBsjrDVgju_lOTBaK03MdQc/vie…. Just as `jq` can be used to extract a field from this file: ```bash jq -cM '.features[10000].properties.LOT_NUM' citylots2.json ``` So can AWK: ```bash gawk -l jsonstream -e ' BEGIN { JPAT[1] = "/features/10000/properties/LOT_NUM" } { print J[1] }' citylots2.json ``` The execution time for the boostjson branch will be: ``` real 0m2,112s user 0m1,476s sys 0m0,618s ``` And the execution time for the boostjson-dom branch will be: ``` real 0m5,639s user 0m4,170s sys 0m1,418s ``` We should always strive to do more than just throwing random numbers. Anyone can do that. The timings show that the DOM layer is obviously much slower, but there is no surprise here. It's kind of ridiculous trying to compare both branches. They do different things (although the plug-in feature-set is the same). The DOM approach will always decode and save every matched token. And that's one of the principles to deliver faster code: do less. The reason why I've chosen a 161MiB JSON file was to make sure most of the program's time would be spent not in the gawk VM but in the parsing plug-in. If we wanted to expose every value from the DOM tree, `json::value` would also be useless because the consumer here expects `awk_value_t` objects (and the DOM interface would guarantee the costs for unnecessarily saving decoded results twice would be paid). We don't always control the interface/protocol -- that's part of the C++ programmer's job. Would it be reasonable to deliver code twice as slow to my client because "hey I have a nice DOM container... gotta use it"? As Marcel Weiher has noted in [his call for "less lethargic JSON support"](https://blog.metaobject.com/2020/04/somewhat-less-lethargic-json-support.html) [sic]: > Wait a second! 312MB/s is almost 10x slower than Daniel Lemire's parser, > the one that actually parses JSON, and we are only creating the objects > that would result if we were parsing, without doing any actual parsing. > > This is one of the many unintuitive aspects of parsing performance: the > actual low-level, character-level parsing is generally the least > important part for overall performance. Unless you do something crazy > like use `NSScanner`. Don't use `NSScanner`. Please. Let's dive in the code to see how they differ. ### `basic` Every branch reads a record one document at a line. That's the `get_record()` function. For the `boostjson-dom` branch, the code goes in the lines of: ```cpp try { parsed_value.emplace_null(); json_parser.reset(parsed_value.storage()); std::error_code ec; json_parser.write(line.data(), line.size(), ec); if (ec) throw std::system_error{ec}; json_parser.finish(ec); if (ec) throw std::system_error{ec}; parsed_value = json_parser.release(ec); assert(!ec); switch (parsed_value.kind()) { case json::kind::array: fill_j(parsed_value.get_array(), tree); break; case json::kind::object: fill_j(parsed_value.get_object(), tree); break; // ... } } catch (const std::exception& e) { warning(ext_id, "Error while processing record: %s", e.what()); } ``` The code parses the whole JSON at once and then follows to consume the document by calling the `fill_j()` function: ```cpp // Several overloads: static void fill_j(const json::array& arr, Tree& node); static void fill_j(const json::object& obj, Tree& node); static void fill_j(const json::value& v, Tree& node); // Here is the object overload. You can find the rest in the repository. static void fill_j(const json::object& obj, Tree& node) { for (auto& [key, value]: node) { auto it = obj.find(key); if (it == obj.end()) continue; std::visit( hana::overload( [&](Tree& tree) { fill_j(it->value(), tree); }, [&](size_t idx) { consume_value(it->value(), idx); }), value); } } ``` The code is pretty straight-forward. We check if the fields the user asked for are present in the document and recurse on them. When we reach a leaf node, the `J` AWK variable is set (that'd be the `consume_value()` function). Do notice that there is no uncontrolled recursion here. Recursion is always JPAT-delimited. And JPAT is part of the source code, not user-input. There is no risk of stack overflow here. The pull parser approach (branch master) somewhat follows the same trend, but the code is bigger. Here's a selected highlight: ```cpp void fill_j(json::reader& reader, Tree& node) { // ... switch (reader.symbol()) { case json::token::symbol::error: throw json::error{reader.error()}; case json::token::symbol::begin_object: { if (!reader.next()) throw json::error{reader.error()}; std::string current_key; for (;;) { if (reader.symbol() == json::token::symbol::end_object) { reader.next(); break; } // Key assert(reader.symbol() == json::token::symbol::string); current_key.clear(); auto ec = reader.string(current_key); assert(!ec); (void)ec; if (!reader.next()) throw json::error{reader.error()}; // Value auto it = node.find(current_key); if (it == node.end()) { json::partial::skip(reader); continue; } std::visit( hana::overload( [&](Tree& tree) { switch (reader.symbol()) { case json::token::symbol::begin_array: case json::token::symbol::begin_object: fill_j(reader, tree); break; default: json::partial::skip(reader); } }, consume_value), it->second); } if (reader.symbol() == json::token::symbol::error) throw json::error{reader.error()}; } // ... } } ``` And here is the first sample on what I meant by composability. Our "callback" only gets called to handle trees that are part of the decision tree one way or another (and the root node always belongs here). When it reaches a subtree that doesn't belong to the JPAT-defined decision tree, `json::partial::skip()` is called. `json::partial::skip()` is defined elsewhere and has no knowledge on the internals of our algorithm. This is a different "callback" being called to handle a different part of the tree. The two of them know how to handle different groups of tokens. A nice side effect is that these "phantom" trees will be fully skipped over. We don't allocate strings to collect values over them. This is an optimization we get for free. [Designing JSON parsers to exploit this idea is not unknown](https://github.com/zserge/jsmn). The last one will be the code for the `boostjson` branch, but I feel like it'll be easier to understand if I first introduce the tasks it has to perform in the token stream. ``` { "foo" : 42 , "bar" : { "foo" : 33 } } ^^ ``` When the field's value is parsed, we must match the key against our rule-set to possibly trigger an action. But it is not enough to store the current key. The whole path must be stored to support the JSON nest-able structure. We start with the structure to save current context information: ```cpp struct State { bool is_object; //< false = ARRAY std::string current_key; size_t current_idx; Tree* node; }; std::vector<State> state; ``` So the beginning of the code for `on_object_begin()` must be: ```cpp Tree* node = nullptr; if (state.size() == 0) { node = &tree; } else if (state.back().node) { auto it = state.back().node->find(current_key()); if (it != state.back().node->end()) node = std::get_if<Tree>(&it->second); } state.emplace_back(); state.back().is_object = true; state.back().node = node; ``` And a matching action in the code for `on_object_end()`: ```cpp state.pop_back(); ``` But it's not really that simple. Paths such as `/features/10000/properties/LOT_NUM` won't work because `current_key` won't be provided by any `on_key()`-like callback when current node is `10000`. `current_key` must be computed for arrays in the value handler itself. That's why the following snippet must be present in the beginning of every value-callback (and `on_{object,array}_begin()` too): ```cpp if (state.size() > 0 && /*is_array=*/!state.back().is_object) update_current_array_key(); ``` And the matching helper functions: ```cpp std::string_view current_key() { assert(state.size() > 0); return state.back().current_key; } void update_current_array_key() { assert(state.size() > 0); assert(!state.back().is_object); state.back().current_key.resize(max_digits); auto s_size = std::to_chars( state.back().current_key.data(), state.back().current_key.data() + state.back().current_key.size(), state.back().current_idx++ ).ptr - state.back().current_key.data(); state.back().current_key.resize(s_size); } ``` The final touch is to realize that the event stream will be something like: ``` string_key -> value -> string_key -> value -> string_key -> value -> ... ``` And we need to clear the `string_key` by the end of every value consumed: ```cpp if (state.size() > 0) state.back().current_key.clear(); ``` So the callback implementation for a simple atom value such as a string is: ```cpp bool on_string_part(std::string_view v, std::error_code&) { if (state.size() > 0) { if (state.back().node == nullptr) return true; auto it = state.back().node->find(current_key()); if (it == state.back().node->end()) return true; if (!std::holds_alternative<size_t>(it->second)) return true; } current_str.append(v.data(), v.size()); return true; } bool on_string(std::string_view v, std::error_code&) { awk_value_t idx_as_val; if (state.size() == 0) { current_str.append(v.data(), v.size()); make_number(0, &idx_as_val); } else { if (/*is_array=*/!state.back().is_object) update_current_array_key(); if (state.back().node == nullptr) goto end; auto it = state.back().node->find(current_key()); if (it == state.back().node->end()) goto end; auto idx = std::get_if<size_t>(&it->second); if (!idx) goto end; current_str.append(v.data(), v.size()); make_number(*idx + 1, &idx_as_val); } { awk_value_t value_as_val; char* mem = (char*)gawk_malloc(current_str.size() + 1); memcpy(mem, current_str.c_str(), current_str.size() + 1); set_array_element( var_j, &idx_as_val, make_malloced_string(mem, current_str.size(), &value_as_val)); } end: if (state.size() > 0) state.back().current_key.clear(); current_str.clear(); return true; } ``` But the code still performs differently. There's that optimization we got for free in the pull parser choice. We must implement a mechanism to skip over unwanted trees to make the comparison fair. And here's where a `skipped_levels` variable is introduced. It'll change every callback again but will finally let us have the following code for the `string_key` callback: ```cpp bool on_key_part(std::string_view v, std::error_code&) { if (skipped_levels) return true; // not called on phantom trees state.back().current_key.append(v.data(), v.size()); return true; } bool on_key(std::string_view v, std::error_code&) { if (skipped_levels) return true; // not called on phantom trees state.back().current_key.append(v.data(), v.size()); return true; } ``` The full code can be found on the `include/jsonstream/parser.hpp` file. This explanation should suffice to understand (to quote myself): > The defining trait present in pull parsers that is impossible to > replicate in push parsers is their ability to compose > algorithms. Composition is enabled by temporarily handing over the token > stream to a different consumer. Not every consumer needs to know how to > process every part of the stream. That's a trait impossible to find in > push parsers. Every callback depends on implementation knowledge from every other callback. Spaghetti code as they say. I also implemented another change to both branches -- `master` and `boostjson` -- to further demonstrate this property. What if we want to store string representation for array indexes in static arrays instead `std::string` objects? There's this changeset for `master` branch: ``` --- a/src/main.cpp +++ b/src/main.cpp @@ -184,20 +184,19 @@ void fill_j(json::reader& reader, Tree& node) case json::token::symbol::begin_array: { if (!reader.next()) throw json::error{reader.error()}; - std::string current_key; + std::array<char, max_digits> current_key; for (size_t i = 0 ;; ++i) { if (reader.symbol() == json::token::symbol::end_array) { reader.next(); break; } - current_key.resize(max_digits); auto s_size = std::to_chars(current_key.data(), current_key.data() + current_key.size(), i).ptr - current_key.data(); - current_key.resize(s_size); - if (node.count(current_key) == 0) { + auto it = node.find(std::string_view(current_key.data(), s_size)); + if (it == node.end()) { json::partial::skip(reader); continue; } @@ -214,7 +213,7 @@ void fill_j(json::reader& reader, Tree& node) } }, consume_value), - node[current_key]); + it->second); } if (reader.symbol() == json::token::symbol::error) ``` The changes are local to the code that parses this structure (only the `case json::token::symbol::begin_array` "callback" changed). It doesn't affect the rest. As for the `boostjson` branch, the code for every callback must now execute new code (if you're curious why we'd need a `current_key()` helper function): <https://gitlab.com/vinipsmaker/gawk-jsonstream-archive/-/commit/f4c81abf7e7…>. As an exercise for the reader, try to imagine what changes would be required in the push parser approach if we wanted to expose a DOM handle in the `J` AWK variable. As for the pull parser approach we have a call to `partial::skip()` within the `consume_value()` function. This call would be replaced with `partial::parse()` and that's the change. ### `transform` By now I already made my main point. Push parsers don't compose. I'll keep the explanation for remaining branches brief and only give an outline over them. We've made a plug-in to read JSON values. Naturally the next step is to have the ability to update/write them. It's not possible to do this with Boost.JSON parser, so I had to give up on branch boostjson2 and start a new one -- boostjson2-b. `boostjson2-b` is based on `boostjson-dom` so you can expect similar prohibitive costs from the DOM layer. The strategy here is the same as before. We recursively traverse the stored DOM using the decision tree to guide the whole process. The previous step had a `consume_value()` function and the new step will have a `produce_value()` one: ```cpp static void produce_value(json::value& dom, size_t idx) { awk_value_t idx_as_val; make_number(idx + 1, &idx_as_val); awk_value_t value; if (!get_array_element(var_j, &idx_as_val, AWK_UNDEFINED, &value)) { dom.emplace_null(); return; } switch (value.val_type) { case AWK_UNDEFINED: case AWK_ARRAY: dom.emplace_null(); break; case AWK_NUMBER: if (value.num_value == 1.0 && dom.is_bool()) { dom.emplace_bool() = true; } else if (value.num_value == 0.0 && dom.is_bool()) { dom.emplace_bool() = false; } else { // TODO: respect AWK's OFMT dom.emplace_double() = value.num_value; } break; case AWK_STRING: case AWK_REGEX: case AWK_STRNUM: { dom.emplace_string() = std::string_view{ value.str_value.str, value.str_value.len}; break; } case AWK_SCALAR: case AWK_VALUE_COOKIE: assert(false); } } ``` Then we just serialize the whole DOM tree when the AWK function `json::output()` is called: ```cpp static awk_value_t* do_output(int /*num_actual_args*/, awk_value_t* result, awk_ext_func_t* /*finfo*/) { query_j(parsed_value, tree); auto serialized = json::to_string(parsed_value); char* mem = (char*)gawk_malloc(serialized.size() + 1); memcpy(mem, serialized.c_str(), serialized.size() + 1); return make_malloced_string(mem, serialized.size(), result); } ``` For the pull parser we modify the read loop to store the document offsets (this small diff is the part impossible to achieve with Boost.JSON parser): ``` --- a/src/main.cpp +++ b/src/main.cpp @@ -96,6 +96,11 @@ void fill_j(json::reader& reader, Tree& node) // atom values at root level were moved out of this recursive function. auto consume_value = [&](size_t idx) { + Slice slice; + slice.rel_off = reader.literal().data() - cursor; + slice.jidx = idx; + slice.bool_src = false; + switch (reader.symbol()) { case json::token::symbol::end: case json::token::symbol::error: @@ -109,6 +114,8 @@ void fill_j(json::reader& reader, Tree& node) var_j, make_number(idx + 1, &idx_as_val), make_number(reader.value<bool>() ? 1 : 0, &value)); + + slice.bool_src = true; } if (false) case json::token::symbol::integer: @@ -133,12 +140,15 @@ void fill_j(json::reader& reader, Tree& node) make_malloced_string(mem, value.size(), &value_as_val)); } case json::token::symbol::null: + slice.size = reader.literal().size(); if (!reader.next()) throw json::error{reader.error()}; break; case json::token::symbol::begin_array: case json::token::symbol::begin_object: - json::partial::skip(reader); + slice.size = json::partial::skip(reader).size(); } + cursor += slice.rel_off + slice.size; + slices.push_back(slice); }; switch (reader.symbol()) { ``` And implement AWK `json::output()` to perform simple string concatenation: ```cpp static awk_value_t* do_output(int /*num_actual_args*/, awk_value_t* result, awk_ext_func_t* /*finfo*/) { size_t output_size = 0; for (auto& slice: slices) { output_size += slice.rel_off; slice.buffer.clear(); awk_value_t idx_as_val; make_number(slice.jidx + 1, &idx_as_val); awk_value_t value; if (!get_array_element(var_j, &idx_as_val, AWK_UNDEFINED, &value)) { slice.buffer = "null"; output_size += slice.buffer.size(); continue; } switch (value.val_type) { case AWK_UNDEFINED: case AWK_ARRAY: slice.buffer = "null"; break; case AWK_NUMBER: if (value.num_value == 1.0 && slice.bool_src) { slice.buffer = "true"; } else if (value.num_value == 0.0 && slice.bool_src) { slice.buffer = "false"; } else { // TODO: respect AWK's OFMT json::writer writer{slice.buffer}; writer.value(value.num_value); } break; case AWK_STRING: case AWK_REGEX: case AWK_STRNUM: { json::writer writer{slice.buffer}; writer.value(json::writer::view_type{ value.str_value.str, value.str_value.len}); break; } case AWK_SCALAR: case AWK_VALUE_COOKIE: assert(false); } output_size += slice.buffer.size(); } auto buffer_end = buffer.data() + record_size - record_rt_size; output_size += buffer_end - cursor; char*const mem = (char*)gawk_malloc(output_size + 1); auto out_it = mem; auto in_it = buffer.data(); for (auto& slice: slices) { memcpy(out_it, in_it, slice.rel_off); out_it += slice.rel_off; in_it += slice.rel_off + slice.size; memcpy(out_it, slice.buffer.data(), slice.buffer.size()); out_it += slice.buffer.size(); } memcpy(out_it, cursor, buffer_end - cursor); out_it += buffer_end - cursor; *out_it = '\0'; return make_malloced_string(mem, output_size, result); } ``` It's clear which solution will perform better here (string concatenation of a few string slices vs serializing the whole DOM tree again), but there is another interesting difference to highlight. The difference having nothing to do with pull parsers vs push parsers and everything to do with the serialization framework. As we can see from the alternative library here, we're able to serialize the document piece by piece. Boost.JSON has one serialization facility -- `json::serializer` and its by-products such as `json::to_string()` -- and that's it. If you have a domain object in the likes of: ``` struct Reply { int req_id; std::vector<std::string> result; }; ``` The only answer for Boost.JSON would be to first convert the whole object into `json::value` and serialize the resulting DOM tree. That's an unacceptable answer. ### transform2 For the last developed branches, I demonstrate how partial DOM trees fit in the design of pull parsers. MongoDB has this `$unwind` operator that will output a new document for each element in a certain array element of the input document. So, for the following document: ``` { "foo" 33 , "bar" : [ 3, 4, "abc" ] } ``` MongoDB's `$unwind` operator can be used to output: ``` { "foo" 33 , "bar" : 3 } { "foo" 33 , "bar" : 4 } { "foo" 33 , "bar" : "abc" } ``` For our plug-in, you just fill the index you'd like unwind: ```awk BEGIN { JPAT[1] = "/bar" JUNWIND = 1 #< index in JPAT array } ``` For `boostjson3` branch, the idea is to swap the desired array to a different place so we can later call `json::output()` cleanly: ``` --- a/src/main.cpp +++ b/src/main.cpp @@ -74,13 +74,32 @@ static const awk_fieldwidth_info_t zero_fields = { static json::parser json_parser; static json::value parsed_value; -static void consume_value(const json::value& v, size_t idx) +int unwind_idx; //< 1-indexed ; 0 is root ; -1 is unwind unset +json::array unwinded_values; +static bool unwind_in_progress; +static size_t nunwinded; + +static void consume_value(json::value& v, size_t idx) { switch (v.kind()) { case json::kind::array: + if ((int)idx + 1 == unwind_idx) { + v.get_array().swap(unwinded_values); + { + awk_value_t val; + auto ok = sym_update_scalar( + var_julength, + make_number(unwinded_values.size(), &val)); + assert(ok); (void)ok; + } + unwind_in_progress = true; + nunwinded = 0; + break; + } case json::kind::object: break; case json::kind::string: { ``` For `master3` branch, only one change happened to the read loop (again proving the composability of pull parsers). The idea is to store the unwind target directly into a domain object (so almost a partial DOM, but even cheaper). Do notice that only `json::token::symbol::begin_array` "callback" changed. Every other "callback" stays the same: ``` --- a/src/main.cpp +++ b/src/main.cpp @@ -146,6 +151,63 @@ void fill_j(json::reader& reader, Tree& node) if (!reader.next()) throw json::error{reader.error()}; break; case json::token::symbol::begin_array: + if ((int)idx + 1 == unwind_idx) { + const char* head = reader.literal().data(); + if (!reader.next()) throw json::error{reader.error()}; + for (;;) { + if (reader.symbol() == json::token::symbol::end_array) + break; + + awk_value_t value; + + switch (reader.symbol()) { + case json::token::symbol::end: + case json::token::symbol::error: + case json::token::symbol::end_object: + case json::token::symbol::end_array: + assert(false); + case json::token::symbol::boolean: + make_number(reader.value<bool>() ? 1 : 0, &value); + break; + case json::token::symbol::integer: + case json::token::symbol::real: + make_number(reader.value<double>(), &value); + break; + case json::token::symbol::string: { + auto data = reader.value<std::string>(); + char* mem = (char*)gawk_malloc(data.size() + 1); + memcpy(mem, data.c_str(), data.size() + 1); + make_malloced_string(mem, data.size(), &value); + } + break; + case json::token::symbol::null: + value.val_type = AWK_UNDEFINED; + break; + case json::token::symbol::begin_array: + case json::token::symbol::begin_object: + value.val_type = AWK_UNDEFINED; + unwinded_values.push_back(value); + json::partial::skip(reader); + continue; + } + unwinded_values.push_back(value); + if (!reader.next()) throw json::error{reader.error()}; + } + assert(reader.symbol() == json::token::symbol::end_array); + const char* tail = reader.literal().end(); + if (!reader.next()) throw json::error{reader.error()}; + slice.size = std::distance(head, tail); + { + awk_value_t val; + auto ok = sym_update_scalar( + var_julength, + make_number(unwinded_values.size(), &val)); + assert(ok); (void)ok; + } + unwind_in_progress = true; + nunwinded = 0; + break; + } ``` I have explored a few concepts, but there are many more that were left off (e.g. backtracking, wrapping parsers, chunking). I'm also familiar with these topics and my assessment here would be the same: either there is no loss in the pull parser approach and they both perform well, or the push parser will perform significantly worse. ## A faster DOM tree There is another class of parsers that I haven't talked about. If parsing-to-DOM speed is the only relevant pursuit for this library, then it's failing too. It should be using destructive parsing techniques. Decoding strings can be performed in-place to put less pressure on allocators (and to skip several memory copies). I can expand on this topic if there is interest. ## Misc Some assorted issues and observations: - Boost.JSON serialization framework is non-existing. There's only one feature. The functions don't help to generate any serialized JSON value. Any value to be serialized must first be converted to the allocating variant-like class `json::value`. - `json::value::get_*()` functions break current convention for boundary checking versions of accessor functions in a variant class. - There is no `std::monostate` overload to initialize `json::value`. On a personal note, I'd prefer to see an explicit `json::null_t`. I don't like to conflate meaning of terms created for different purposes. - Documentation for the parser interface is pretty much lacking. Parameters are poorly explained and there are plenty of other questions that go unanswered. Can the handler pause the parsing loop by returning `false` w/o setting any error code (and how'd the stream be resumed)? Can the handler callbacks access parser methods such as `depth()`? Can the handler callbacks copy the parser object (this would be useful for backtracking)? - The code compiles with warnings. - The library offers far too little. The soundness of its design can't be proven. All it does is converting to/from a variant-like class and every other JSON-related use-case is left off. In the future, another library in the likes of QtXmlPatterns (but for JSON) will be built but this core -- Boost.JSON -- will prove unfit to build anything higher-level and a new core will have to be developed from the ground-up because current bad design choices. ## Appendix A: Strings through multiple buffers in pull parsers There are always compromises when it comes to designing programming abstractions. As for parsers, one of such compromises is a parser that never "fails" to consume input. Every input given is fully consumed. The idea here is to avoid "reparsing" old elements from the stream. For instance, one document may be received as the following two separate buffers: ``` "na\u00 EFve" ``` The parser may fail to consume the escape sequence thanks to missing characters and return `nread=3` for the first buffer. The performance argument in favour of a parser that doesn't fail is irrelevant. There is no performance gain by not reparsing 4 bytes. If your buffer is that small that you find yourself constantly reparsing elements then you have a problem way before the parsing level. The read syscall overhead would dominate. That's a pathological case. You must never design abstractions for a pathological case. I'll refrain from initiating any debate here on what'd constitute a pathological case for JSON parsers. I just want to make sure the reader has this in mind and he should be careful to not ask for every feature under the sun. He must carry a grain of doubt over whether a feature is really desired. In fact, the parser may not buffer, but [now the consumer does so](https://github.com/CPPAlliance/json/blob/fc7b1c6fd229e884df09fd45c64c61… (so much for a chunking parser). As for the topic on this section: can a pull parser support this case? The answer will be the same as before (to quote myself): > But as we've seen before, the only difference between pull and push > parsers is something else. Any features lateral to this classification > originate from different taxonomies. The enabling feature here is not the push interface. Rather it is the chosen set of generated events for the JSON token stream. If you change the notified events for the stream, you enable the same feature. For a pull parser, these are the events it'd have to provide (among other valid choices): - `string` (if non-split) - `string_run_begin` - `string_run` - `string_run_end` ## Appendix B: Why gawk? There are a few reasons why I've chosen a (GNU) AWK plug-in to illustrate the concepts presented in this review. First, I don't want to invent a new tool. Artificial examples could always be created to fabricate an argument. AWK is one of the classical UNIX tools. It's established and old. From [gawk manual](https://www.gnu.org/software/gawk/manual/html_node/History.html): > The original version of `awk` was written in 1977 at AT&T Bell > Laboratories. In 1985, a new version made the programming language more > powerful [...] This new version became widely available with Unix System > V Release 3.1 (1987). We're talking 40 years of history here. If the tool is established, that's one reason. Another reason why I've chosen AWK is that AWK has no JSON processing facilities, so it fills a gap in an existing tool. The third reason why I've chosen GNU AWK to create this plug-in is that gawk already has an extension mechanism. Therefore I don't have the freedom to modify the AWK processor to accommodate the JSON library idiosyncrasies. On the contrary, it's the JSON library the one to prove its flexibility. Now there's another question to answer here: why take MongoDB as inspiration to design the gap that would be filled in AWK (such as the `$unwind` operator)? And the answer will be the same. MongoDB is one of the JSON-oriented DBMS that got popular back in the NoSQL boom days. The end result tries to fit in the AWK's mindset and not the other way around. AWK is a tool designed for tabular data processing. JSON is in no way tabular, but its structure allows us to build a tabular view for the underlying data. There are two main variables in gawk to control how the fields are extracted: - `FS`: defines how to find the field _separators_. - `FPAT`: defines how to find the field _contents_. The plug-in just follows this trend and introduces a `JPAT` variable that also instructs how to find the field _contents_. `JPAT` is an array and each element has a [standard JSON Pointer](https://tools.ietf.org/html/rfc6901) expression that was designed exactly for this purpose. There's one very interesting fact about this outcome. The usage pattern here is removing from the library the step to process the stream (as the step that'd happen with the DOM approach) and moving much of the processing logic to be embedded in the parsing phase itself. That's a continuation from the trend we saw earlier about merging matching and decoding steps. It's also the same approach we'd use to build serious JSON processing tools such as [JMESPath](https://jmespath.org/) (some JMESPath expressions require a partial DOM, but it's doable to use a hybrid approach anyway as it has already been demonstrated in the `JUNWIND` code). ## Appendix C: Static decision trees with Boost.Hana The reader may be interested to know that the decision tree auxiliar to the parsing process developed for our (GNU) AWK plug-in is not only useful for AWK but to C++ programs as well. The decision tree strategy may even use Boost.Hana CT structures to fully unroll the code. It can be used to implement facilities such as: ```cpp using hana::literals::operator""_s; int foo; std::string bar; json::scanf(input, "{ foo: { bar: ? }, bar: ? }"_s, foo, bar); ``` That's also possible with Boost.JSON's current parser. But the following is not: ```cpp using hana::literals::operator""_s; Foo foo; std::string bar; json::scanf( input, "{ foo: { bar: ? }, bar: ? }"_s, [&foo](json::reader& reader) { // ... }, bar); ``` As it has been explained before, push parsers don't compose. And you aren't limited to root-level scanning. You should have `json::partial::scanf()` to act on subtrees too. A prototype for this idea can be found at <https://github.com/breese/trial.protocol/pull/43>. ## Review questions > Please be explicit about your decision (ACCEPT or REJECT). REJECT. > How much effort did you put into your evaluation? A glance? A quick > reading? In-depth study? I've stalled a project of mine for a few weeks just to participate in this review process. I think I've spent close to 50 hours. I wrote a JSON tool in Boost.JSON and the same tool under a different parser model to highlight important traits that were being dismissed in previous debates. I've gone through the documentation and source code to better understand some Boost.JSON details. I've also been involved in previous Boost.JSON debates in this very mailing list. > Are you knowledgeable about the problem domain? I've tested many JSON parser libraries in C++ to this point. In my last job I have leveraged a JSON (pull) parser to merge multiple validation layers into an one-pass operation and later leveraged Boost.Hana to automate the parser generation. Our API is JSON-based and we apply plenty of transformations (including DOM-based when unavoidable), some similar to the GNU AWK plug-in demonstrated here (e.g. synthesizing a new field on routed messages while DOM tree related costs are avoided). I've contributed a few algorithms and subtree parsing ideas back to the leveraged JSON (pull) parser. I offered the same composability ideas to Boost.JSON a few months back when the topic appeared here in this very mailing list. In the past, I've designed parsers in C++ -- pull and push parsers. I've played with some tools for parser generation such as re2c, gperf (gperf might not be really parsing, but it is related), and Boost.Xpressive. I've also experienced the pain of parsers that try to be too lightweight but ultimately backfire by moving not only performance costs back to the consumer but also greatly increasing complexity. -- Vinícius dos Santos Oliveira https://vinipsmaker.github.io/

4 6

[review][json] Boost.JSON review
by Peter Dimov 19 Sep '20

19 Sep '20

This is my review of Boost.JSON by Vinnie Falco and Krystian Stasiowski. First, a disclaimer: I have contributed to the library, mostly with design advice, occasionally to the implementation. Second, let's start with the end. I think that Boost.JSON should be ACCEPTED. All of its aspects are of Boost quality, its maintainers are qualified and responsive, the lack of a JSON library in Boost is frankly embarrassing, and the json::value type serves as a standard variant for scripting and transferring language-independent scalar and structured values, which opens many possibilities for further integration with future parts of the Boost ecosystem (I'll show an example of that later on.) To evaluate the library (I was already broadly, but not intimately, familiar with the structure and the interface), I started with the documentation, specifically with the Quick Look and Usage sections. It's very well written, and meets and exceeds the usual Boost level. I only have a few remarks to make. In Using Numbers, the documentation should explain more clearly and prominently that v.as_double() does not succeed when v contains an integer, but throws an exception. This is a common user expectation. Instead of focusing on number_cast, It should advertise value_to<double>(v) as the way to obtain a double from v, converting if necessary; and similarly, value_to<int>(v) as the way to obtain an int, range-checking if necessary. number_cast should be considered legacy at this point, and not featured. I understand that it offers an error_code& overload for those who don't want exceptions, but the throwing version is entirely superseded by value_to. In Parsing, the examples using parse_options look like this: parse_options opt; opt.allow_comments = true; opt.allow_trailing_commas = true; opt.allow_invalid_utf8 = true; value jv = parse( "[1,2,3,] // comment, extra comma ", storage_ptr(), opt ); That's fine and is indeed the C++11 standard-compatible way to do things. However, when designated initializers are available, such as on g++ or clang++, or on VS2019 with /std:c++latest, the above can be written as value jv = parse( "[1,2,3,] // comment, extra comma ", {}, { .allow_comments = true, .allow_invalid_commas = true, .allow_invalid_utf8 = true } ); and it might be useful to show this style too. In Value Conversion, Converting to Foreign Types, it's shown that defining a constructor customer::customer( value const& jv ); enables value_to<customer>(jv) to work. This is, in my opinion, a legacy mechanism made obsolete by tag_invoke and should not be supported. This example should be removed from the documentation, and only the tag_invoke way should be featured. And since we're on this page, it's odd that the StringLike requirement wants construction from (char*, std::size_t) - pointer to non-const characters. I don't think that any string type has such a constructor, they all take char const*. With the documentation carefully read (as in, quickly scanned), I proceeded to try to use the library. A previous reviewer (Reiner Deyke) had brought up the subject of CBOR parsing and serialization, and I had looked into CBOR as a format. It seemed regular and easy to parse and serialize, so I decided to write a CBOR serializer and parser for boost::json::value. How hard can that be, really? Not that hard. The serializer was quickly up and running, and it seemed quite performant: Serializing canada.json to CBOR: 1056200 bytes, 4840 us Serializing canada.json to JSON: 2306988 bytes, 13036 us (You can find the code at https://github.com/pdimov/boost_json_review/blob/master/boost_json_cbor.cpp, the serializer is the first 140 or so lines.) As far as using the library went, it was completely painless and straightforward. Next up, the parser. I decided to write it using the json::value interface, like a reference implementation. This, too, went well, and the parser was soon parsing, and even producing the same value as the one serialized. The performance, though... Parsing canada.json from JSON: 10548 us Parsing canada.json from CBOR: 33941 us, successful roundtrip This wasn't good. Switching to a binary format such as CBOR is supposed to be faster, not 3.4 times slower! Before you say "well your parser is written like you were a college student who was taught Java", be aware that I actually refactored the parser a number of times; sometimes it was written in one style, sometimes in another, functions went from being hand-inlined to extracted and back a few times, but none of that made a dent on those 34ms. To find out where the time was going, I looked into way more detail I needed to. For instance, I saw that assigning f.ex. 1.0 to a default-constructed json::value executes much more code than it needs to, and makes non-inlined calls into libboost_json. One would expect this to take one check and branch (do we need to deallocate anything? no), and two assignments (kind = kind_double; dbl_ = 1.0). Turns out that the efficient way to assign 1.0 is not `v = 1.0;`, but `v.emplace_double() = 1.0;`. I of course replaced the assignments with this supposedly efficient form, and it of course made no difference at all. I then in desperation actually removed all the assignments. And it barely made any difference. At this point I decided that the json::value interface is not the right fit for a performant parser, and switched to using boost::json::value_stack. This is what Boost.JSON's parser itself uses, so if that's not fast, well, I don't know what will be. Updating the parser to use value_stack was basically trivial: https://github.com/pdimov/boost_json_review/commit/7aa8d2dc8c706c3f4204d6fe… and it worked. The performance was what I expected: Parsing canada.json from JSON: 10044 us Parsing canada.json from CBOR: 6332 us, successful roundtrip (You can find the value_stack parser at https://github.com/pdimov/boost_json_review/blob/master/boost_json_cbor_st.… and the results at https://github.com/pdimov/boost_json_review/blob/master/boost_json_cbor_st.….) (Since now changes to the parser code actually affected performance, I added two optimizations to the array parsing - a fast path for arrays containing only doubles, and a fast path for arrays containing only integers.) Is value hopeless for parsing, then? I went back to the other parser. This is how the part that parses objects looks like, with the irrelevant parts omitted: boost::json::object & o = v.emplace_object(); o.reserve( n ); for( std::size_t i = 0; i < n; ++i ) { // key string boost::json::string_view sv( ... ); // value boost::json::value w( v.storage() ); first = parse_cbor_value( first, last, w ); o.insert( boost::json::key_value_pair( sv, std::move( w ) ) ); } The reason I use o.insert here is that I wanted the CBOR parser to match the behavior of the JSON parser with respect to key order and duplicate keys. The JSON parser preserves key order, which is both user-friendly and better from a security perspective (observing key order may leak the seed of the hash function.) It also handles duplicates in an unspecified manner. Well, whatever that unspecified manner was, I wanted to do the same, and using `insert` looked like the way to do it. There however was no `insert` taking a string_view and a value, so I had to create a key_value_pair. There was `insert_or_assign` that did take a string_view and a value, but it overwrites duplicates, and I didn't want that. I consulted Vinnie Falco about the lack of `insert(string_view, value)`, and he pointed me at `emplace`. This sounded exactly like what my hypothetical `insert` would do. However, hearing `emplace` gave me an idea. In the same way `v.emplace_object()` gives me `object&`, `o.emplace(sv)` could have given me `value&`, which I could then pass directly to `parse_cbor_value`: first = parse_cbor_value( first, last, o.emplace(sv) ); I shared this brilliant observation with Vinnie, and he replied "obj[sv]". obj[sv] indeed. Sometimes we forget that C++98 did have a useful feature or two. This doesn't exactly work as I wanted it to, because it neither guarantees insertion order, nor has the "right" duplicate handling. Nevertheless, I did make the change: https://github.com/pdimov/boost_json_review/commit/e6baf8f1ce81966534ac93c5… and guess what? Parsing canada.json from JSON: 10261 us Parsing canada.json from CBOR: 6761 us, successful roundtrip So the problem the entire time was that one single line: o.insert( boost::json::key_value_pair( sv, std::move( w ) ) ); I haven't looked into it, but I suspect that it for some reason makes a copy of `w`, even though it's passed using `std::move` and uses the right `storage_ptr`. Oh well. At least it works now. So, there is nothing that much wrong with the `value` interface, and it's possible to build values the straightforward way, instead of using a value_stack, without significant loss in performance. These CBOR parsers are entirely functional, and only have the following limitations: * Binary strings are not supported (as they're not representable in json::value); * Infinite sequences are not supported (because I was too lazy); * 32 bit platforms need to check the string/array/object sizes for possible size_t overflow (because I was way too lazy.) I had also looked at, and tried, the value conversion interface, in the course of developing the examples of an unreleased library of mine, Describe. The value_from example is https://pdimov.github.io/describe/doc/html/describe.html#example_to_json value_to is at https://pdimov.github.io/describe/doc/html/describe.html#example_from_json and a simple JSON-RPC example is at https://pdimov.github.io/describe/doc/html/describe.html#example_json_rpc These all worked without any trouble, except I had to link with Boost.Container for one of them, which didn't seem necessary. They are also a good illustration of the possibilities that having a standard json::value type presents, in terms of further library development. (One could f.ex. imagine a Boost.Script interpreter that uses json::value as its data type, and can be used to script C++ code.) In conclusion, the library works, is well documented, and should be ACCEPTED. I have no acceptance conditions. Obviously, the performance problem concerning object::insert needs to be addressed, and more generally, the value interface needs a bit more performance scrutiny because it's not currently exercised by the benchmarks, but I trust that this will be done. Solid work, thanks to the authors for their submission, and thank you for reading this far.

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Github CI testing with appveyor and travis
by Edward Diener 19 Sep '20

19 Sep '20

I can not seem to get appveyor or travis CI to test the repositories of which I am the maintainer, PP, VMD, and TTI, any more. Normally I would not care much about the CI testing, but the fact that they seem to have stopped wortking completely, or maybe just stopped sending me back results, bothers me. All three have appropriate .yml files. Have these CI services stopped working ? How do I integrate them again with these Boost libraries ?

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[JSON][review] a small review of boost.json
by Julien Blanc 19 Sep '20

19 Sep '20

Hi, Here's my small review of boost json. ## Are you knowledgeable about the problem domain? I've written a json library (for reference: https://github.com/Julien-Blanc-tgcm/jbc-json ) which i used as playground / experiments. I guess this makes me knowledgeable enough of the domain. ## What is your evaluation of the design? I think the library is well designed, although it has several shortcomings. These shortcomings may not alter general usage of the library (with main target seeming to be REST api over http), but render it useless in specific cases. For me, a json library consists of three independant parts and some glue: * a parser * a type for representing values (usually a variant) * a printer (serializer) ### The parser In boost.json, the separation between the parser and seems neat enough (ie, you can use the parser without the json::value type). However, it resides in a <detail> header, which would indicate that it is not an expected use case. I believe it should be. The callbacks of the parser (push parser) are not documented. I'm a bit puzzled by what the on_number_part does, and how it fits with the on_int64/on_double callbacks, for example. The parser is an incremental push parser. However, it seems to expect to be feeded with partial json documents, but not consecutive json documents. I could not find a way to make : auto v = p.write(R"json({"foo":1}{"bar":2})json"); return 9. I may have missed something, but this use case is IMHO important to address. Since the only way to know that a json document has ended is to parse it, the parser should provide an option to parse a stream containing multiple consecutive json documents (ie, stopping without error at the end of each document). A common use case for this is JSON notifications received via raw sockets, so no envelope may be used to isolate JSON documents. ### The value type The value type is a variant, the kind that you would expect from a json library. Most of the interface uses string_view, which is a very good thing (the fact that boost.json uses another string type internally has not been an issue in my tests, due to the usage of string_view). It lacks visitation, though (IIRC there’s an open issue for this). The fact that this value type has been highly optimized is the great strength of this library. #### objects The object interface relies on the [] operator, which incurs the same shortcomings as with std::map : auto v = foo["bar"]; // will silently create bar if it does not exists Typos in keys had always been a source of hard to find bugs, i wished there was an option to disable operator[] and force the use of find. The library has no support for object with duplicate keys, which also are valid json. This, however, can be worked around by using the parser callbacks and not the variant (but that makes it difficult to produce such documents, cf later). Whether the order of the keys is kept by the object structure or not does not appear in the documentation. From my small testing, it seems that it is the case, but the api does not offer any interface to add elements at specific position, so i would assume it is not guaranted. The json specification, AFAIR, does not forbid to rely on a specific order of the keys. Some serialization libraries do expect the keys to be in a specific order. #### numbers Having two number types can lead to unexpected results : auto v = boost::json::parse("{\"foo\":1,\"bar\":2.0}"); std::cout << v.as_object()["bar"].as_double() << std::endl; // ok std::cout << " " << v.as_object()["foo"].as_double(); // asserts It is unexpected, because several json libraries will never output “2E0” or “2.0” for the value “2”, but a plain “2”. It means that whenever you expect a double value, you also have to check for the possibility that it has been parsed as an integer. The to_double function should silently convert integers to their double equivalent whenever it is possible. * as has already been noted by others, the number precision is hardcoded to IEE754 or 64bits integer. This is seldom an issue, since it is the case with most implementations. #### The printer The printer is not usable without the value item. I would expect it to be (producing json without resorting to an intermediate representation). Apart from this, it supports incremental printing, which is what is expected. It produces a strange representation for numbers, but it is conforming to the JSON specification. Because it is tied to the json::value, it cannot produce anything that cannot be represented by a json::value. This is an issue that should be addressed. ## What is your evaluation of the implementation? I did not have a thorough look into the implementation details. From what i have seen, the implementation looks fine. A parser is usually a landmine for security exposures, and would need a very careful review which i cannot do. IIRC the authors plan on having an independant audit on the library, which is a good thing. There is also fuzzing and tests, so we can expect that this point is correctly being taken care of. The rest of the code looks fine, easy to navigate into. ## What is your evaluation of the documentation? Very good. Easy to use, complete. There is some missing information, but they all seems related to design decision that have been taken implicitly (already discussed in design section). An example on using the parser on standalone mode would be a very welcome addition. Another thing that the doc should state clearly : boost.json is **not** a JSON (ECMA-404) library, but rather an I-JSON (RFC 7493) library with some extensions. ## What is your evaluation of the potential usefulness of the library? Very useful. While it does not address all use cases (and does not try to), it addresses what is probable the *most common* case. As JSON is very widespread, i expect this library to find a large audience, because it combines ease of use and performance. ## Did you try to use the library? With what compiler? Did you have any problems? I tried to use it on a small toy application, on a debian stable system. The main target seems to be to use the library with boost. I ran into several issues when trying to use the standalone version. The first one was easy to address, and due to gcc 8.3 lacking c++17 support. A patch was submitted, and merged quickly. The second one was incompatibilites between standalone asio bringing boost headers (because boost is installed on my machine) and json redefining them (because of standalone mode), resulting in multiple defenitions of throw_exception. I'm not sure yet if i should file this to boost.json, asio library, or asio debian package, or if it is just a missing define on my part. At that point, i switched to boost json, which fixed the issues i had. ## How much effort did you put into your evaluation? I'd say around 10 hours reading, testing and playing, including writing of the review. ## Do you think the library should be accepted as a Boost library? I think the library should be ACCEPTED. There are shortcomings in the library, it does not address every use case in the world, but it does a very good job at what it is designed to do. It is easy to use, performant, and it addresses a very widespread use case, so the pros clearly outweighs the cons. Regards, Julien

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[preprocessor] Dropping support for compilers that do not implement variadic macros
by Edward Diener 18 Sep '20

18 Sep '20

In lieu with Boost's decision regarding dropping support for C++03 compilation, I would like to drop support in the preprocessor library for preprocessors which do not implement variadic macros. Variadic macros were added in the C++11 standard, although a number of compilers supported them even before the official C++ standard. I will of course keep the same macro APIs, although deprecating non-variadic macro forms when alternate variadic macro forms exist. This will simplify Boost PP. Ideally, once Boost PP supports only preprocessors which implement variadic macros, Boost VMD can be added to Boost PP, for anyone who wants to use its functionality, and Boost VMD can then be retired.

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[JSON][review] Design: what is expected of a "JSON library"?
by Andrzej Krzemienski 18 Sep '20

18 Sep '20

Hi Everyone, This is not a complete Boost Review yet. In this email I wanted to discuss the design goals of the library. The point that I would like to raise is the tension between having relatively small types (int64_t, uint64_t, double) represent numbers in json::value on the one hand, and ECMA specification allowing arbitrarily big/precise numbers in JSON format on the other. Can I expect of a JSON library that when it converts a JSON contents into internal representation and then back to JSON contents, I should get the same contents (moduo white space)? This would be possible if the internal representation of JSON numbers was an arbitrary-precision decimal type or a string. But when we need to squeeze any number into 24 bits, we will soon get to the point when integer number `100000000000000000000001` after the experiment gets changed to `1E23`. Is this acceptable for a JSON library? But maybe it is not a valid goal? Maybe the goal of the JSON format is to have objects already created in internal representation converted to text and then back to objects? (assuming the recipient program is run on the same environment as the sender (no differences in word size or maximum int representation.) That is, as long as you agree to the constraints of json::value, whatever you manage to put inside, we guarantee that you get the same value when you serialize it and then parse it back. Boost.JSON does this nicely. In that other view, if I have objects of types `boost::multiprecision::cpp_int` my only option is to pass them as strings in JSON protocol. But I can pass any number as string anyway, so what is the use of numbers in JSON format? Uness it is just practical: you can choose to use numbers and then internal representations of JSON may be smaller. Do you get the concern that I am seeing? I mean I have used JSON libraries before, and this has never been a practical problem. But Boost Review puts the bar high for the libraries, so I guess this question should be answered: what guarantees can a JSON library give us with respect to accuracy of numbers? Regards, &rzej;

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Re: [boost] [JSON[review] Andrzej's review
by Peter Dimov 17 Sep '20

17 Sep '20

> Vinnie Falco wrote: > > > Just open an issue and explain how you think self-swap, self-move, and > > self-assignment should work and I will make the changes. > > They should be no-ops. More specifically, self-swap should be a no-op, and assignments should be equivalent to: T& operator=( T const& rhs ) { T(rhs).swap(*this); return *this; } T& operator=( T&& rhs ) { T(std::move(rhs)).swap(*this); return *this; } This is important for classes such as json::value, object, array, where *this may own rhs, so it's important not to destroy rhs too early. E.g. v = v.at(0); v = std::move(v.at(0)); a = a.at(0).as_array(); a = std::move(a.at(0)).as_array(); o = o.at("key").as_object(); o = std::move(o.at("key").as_object()); This is not self-assignment, but it has the same lifetime pitfalls - if you destroy the old contents of *this, rhs is invalidated, so you can no longer copy (or move) it.

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Interactive mail
by SIDDHARTH PANDEY 17 Sep '20

17 Sep '20

Hello everyone, myself Siddharth Pandey, a sophomore at Indian Institute of Information Technology Sri City, India. I love to do Competitive Programming and have a keen interest in Open Source Contribution. I have a strong foundation on C,C++ and some about Python & Java. Also I am trying to explore the field of Data Science & Machine learning. For more information do visit my Portfolio website https://siddharth25pandey.github.io/ I want to contribute to the Boost Organisation but I am quite confused how to start with. It will be really helpful if any mentor can guide me how to start Contributing to get a great learning from such a highly reputed organization. Thanks & Regards Siddharth Pandey

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