| # Internals |
| |
| This section records some design and implementation details. |
| |
| [TOC] |
| |
| # Architecture {#Architecture} |
| |
| ## SAX and DOM |
| |
| The basic relationships of SAX and DOM is shown in the following UML diagram. |
| |
|  |
| |
| The core of the relationship is the `Handler` concept. From the SAX side, `Reader` parses a JSON from a stream and publish events to a `Handler`. `Writer` implements the `Handler` concept to handle the same set of events. From the DOM side, `Document` implements the `Handler` concept to build a DOM according to the events. `Value` supports a `Value::Accept(Handler&)` function, which traverses the DOM to publish events. |
| |
| With this design, SAX is not dependent on DOM. Even `Reader` and `Writer` have no dependencies between them. This provides flexibility to chain event publisher and handlers. Besides, `Value` does not depends on SAX as well. So, in addition to stringify a DOM to JSON, user may also stringify it to a XML writer, or do anything else. |
| |
| ## Utility Classes |
| |
| Both SAX and DOM APIs depends on 3 additional concepts: `Allocator`, `Encoding` and `Stream`. Their inheritance hierarchy is shown as below. |
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|  |
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| # Value {#Value} |
| |
| `Value` (actually a typedef of `GenericValue<UTF8<>>`) is the core of DOM API. This section describes the design of it. |
| |
| ## Data Layout {#DataLayout} |
| |
| `Value` is a [variant type](http://en.wikipedia.org/wiki/Variant_type). In RapidJSON's context, an instance of `Value` can contain 1 of 6 JSON value types. This is possible by using `union`. Each `Value` contains two members: `union Data data_` and a`unsigned flags_`. The `flags_` indicates the JSON type, and also additional information. |
| |
| The following tables show the data layout of each type. The 32-bit/64-bit columns indicates the size of the field in bytes. |
| |
| | Null | |32-bit|64-bit| |
| |-------------------|----------------------------------|:----:|:----:| |
| | (unused) | |4 |8 | |
| | (unused) | |4 |4 | |
| | (unused) | |4 |4 | |
| | `unsigned flags_` | `kNullType kNullFlag` |4 |4 | |
| |
| | Bool | |32-bit|64-bit| |
| |-------------------|----------------------------------------------------|:----:|:----:| |
| | (unused) | |4 |8 | |
| | (unused) | |4 |4 | |
| | (unused) | |4 |4 | |
| | `unsigned flags_` | `kBoolType` (either `kTrueFlag` or `kFalseFlag`) |4 |4 | |
| |
| | String | |32-bit|64-bit| |
| |---------------------|-------------------------------------|:----:|:----:| |
| | `Ch* str` | Pointer to the string (may own) |4 |8 | |
| | `SizeType length` | Length of string |4 |4 | |
| | (unused) | |4 |4 | |
| | `unsigned flags_` | `kStringType kStringFlag ...` |4 |4 | |
| |
| | Object | |32-bit|64-bit| |
| |---------------------|-------------------------------------|:----:|:----:| |
| | `Member* members` | Pointer to array of members (owned) |4 |8 | |
| | `SizeType size` | Number of members |4 |4 | |
| | `SizeType capacity` | Capacity of members |4 |4 | |
| | `unsigned flags_` | `kObjectType kObjectFlag` |4 |4 | |
| |
| | Array | |32-bit|64-bit| |
| |---------------------|-------------------------------------|:----:|:----:| |
| | `Value* values` | Pointer to array of values (owned) |4 |8 | |
| | `SizeType size` | Number of values |4 |4 | |
| | `SizeType capacity` | Capacity of values |4 |4 | |
| | `unsigned flags_` | `kArrayType kArrayFlag` |4 |4 | |
| |
| | Number (Int) | |32-bit|64-bit| |
| |---------------------|-------------------------------------|:----:|:----:| |
| | `int i` | 32-bit signed integer |4 |4 | |
| | (zero padding) | 0 |4 |4 | |
| | (unused) | |4 |8 | |
| | `unsigned flags_` | `kNumberType kNumberFlag kIntFlag kInt64Flag ...` |4 |4 | |
| |
| | Number (UInt) | |32-bit|64-bit| |
| |---------------------|-------------------------------------|:----:|:----:| |
| | `unsigned u` | 32-bit unsigned integer |4 |4 | |
| | (zero padding) | 0 |4 |4 | |
| | (unused) | |4 |8 | |
| | `unsigned flags_` | `kNumberType kNumberFlag kUintFlag kUint64Flag ...` |4 |4 | |
| |
| | Number (Int64) | |32-bit|64-bit| |
| |---------------------|-------------------------------------|:----:|:----:| |
| | `int64_t i64` | 64-bit signed integer |8 |8 | |
| | (unused) | |4 |8 | |
| | `unsigned flags_` | `kNumberType kNumberFlag kInt64Flag ...` |4 |4 | |
| |
| | Number (Uint64) | |32-bit|64-bit| |
| |---------------------|-------------------------------------|:----:|:----:| |
| | `uint64_t i64` | 64-bit unsigned integer |8 |8 | |
| | (unused) | |4 |8 | |
| | `unsigned flags_` | `kNumberType kNumberFlag kInt64Flag ...` |4 |4 | |
| |
| | Number (Double) | |32-bit|64-bit| |
| |---------------------|-------------------------------------|:----:|:----:| |
| | `uint64_t i64` | Double precision floating-point |8 |8 | |
| | (unused) | |4 |8 | |
| | `unsigned flags_` | `kNumberType kNumberFlag kDoubleFlag` |4 |4 | |
| |
| Here are some notes: |
| * To reduce memory consumption for 64-bit architecture, `SizeType` is typedef as `unsigned` instead of `size_t`. |
| * Zero padding for 32-bit number may be placed after or before the actual type, according to the endianness. This makes possible for interpreting a 32-bit integer as a 64-bit integer, without any conversion. |
| * An `Int` is always an `Int64`, but the converse is not always true. |
| |
| ## Flags {#Flags} |
| |
| The 32-bit `flags_` contains both JSON type and other additional information. As shown in the above tables, each JSON type contains redundant `kXXXType` and `kXXXFlag`. This design is for optimizing the operation of testing bit-flags (`IsNumber()`) and obtaining a sequential number for each type (`GetType()`). |
| |
| String has two optional flags. `kCopyFlag` means that the string owns a copy of the string. `kInlineStrFlag` means using [Short-String Optimization](#ShortString). |
| |
| Number is a bit more complicated. For normal integer values, it can contains `kIntFlag`, `kUintFlag`, `kInt64Flag` and/or `kUint64Flag`, according to the range of the integer. For numbers with fraction, and integers larger than 64-bit range, they will be stored as `double` with `kDoubleFlag`. |
| |
| ## Short-String Optimization {#ShortString} |
| |
| [Kosta](https://github.com/Kosta-Github) provided a very neat short-string optimization. The optimization idea is given as follow. Excluding the `flags_`, a `Value` has 12 or 16 bytes (32-bit or 64-bit) for storing actual data. Instead of storing a pointer to a string, it is possible to store short strings in these space internally. For encoding with 1-byte character type (e.g. `char`), it can store maximum 11 or 15 characters string inside the `Value` type. |
| |
| | ShortString (Ch=char) | |32-bit|64-bit| |
| |---------------------|-------------------------------------|:----:|:----:| |
| | `Ch str[MaxChars]` | String buffer |11 |15 | |
| | `Ch invLength` | MaxChars - Length |1 |1 | |
| | `unsigned flags_` | `kStringType kStringFlag ...` |4 |4 | |
| |
| A special technique is applied. Instead of storing the length of string directly, it stores (MaxChars - length). This make it possible to store 11 characters with trailing `\0`. |
| |
| This optimization can reduce memory usage for copy-string. It can also improve cache-coherence thus improve runtime performance. |
| |
| # Allocator {#InternalAllocator} |
| |
| `Allocator` is a concept in RapidJSON: |
| ~~~cpp |
| concept Allocator { |
| static const bool kNeedFree; //!< Whether this allocator needs to call Free(). |
| |
| // Allocate a memory block. |
| // \param size of the memory block in bytes. |
| // \returns pointer to the memory block. |
| void* Malloc(size_t size); |
| |
| // Resize a memory block. |
| // \param originalPtr The pointer to current memory block. Null pointer is permitted. |
| // \param originalSize The current size in bytes. (Design issue: since some allocator may not book-keep this, explicitly pass to it can save memory.) |
| // \param newSize the new size in bytes. |
| void* Realloc(void* originalPtr, size_t originalSize, size_t newSize); |
| |
| // Free a memory block. |
| // \param pointer to the memory block. Null pointer is permitted. |
| static void Free(void *ptr); |
| }; |
| ~~~ |
| |
| Note that `Malloc()` and `Realloc()` are member functions but `Free()` is static member function. |
| |
| ## MemoryPoolAllocator {#MemoryPoolAllocator} |
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| `MemoryPoolAllocator` is the default allocator for DOM. It allocate but do not free memory. This is suitable for building a DOM tree. |
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| Internally, it allocates chunks of memory from the base allocator (by default `CrtAllocator`) and stores the chunks as a singly linked list. When user requests an allocation, it allocates memory from the following order: |
| |
| 1. User supplied buffer if it is available. (See [User Buffer section in DOM](doc/dom.md)) |
| 2. If user supplied buffer is full, use the current memory chunk. |
| 3. If the current block is full, allocate a new block of memory. |
| |
| # Parsing Optimization {#ParsingOptimization} |
| |
| ## Skip Whitespaces with SIMD {#SkipwhitespaceWithSIMD} |
| |
| When parsing JSON from a stream, the parser need to skip 4 whitespace characters: |
| |
| 1. Space (`U+0020`) |
| 2. Character Tabulation (`U+000B`) |
| 3. Line Feed (`U+000A`) |
| 4. Carriage Return (`U+000D`) |
| |
| A simple implementation will be simply: |
| ~~~cpp |
| void SkipWhitespace(InputStream& s) { |
| while (s.Peek() == ' ' || s.Peek() == '\n' || s.Peek() == '\r' || s.Peek() == '\t') |
| s.Take(); |
| } |
| ~~~ |
| |
| However, this requires 4 comparisons and a few branching for each character. This was found to be a hot spot. |
| |
| To accelerate this process, SIMD was applied to compare 16 characters with 4 white spaces for each iteration. Currently RapidJSON supports SSE2, SSE4.2 and ARM Neon instructions for this. And it is only activated for UTF-8 memory streams, including string stream or *in situ* parsing. |
| |
| To enable this optimization, need to define `RAPIDJSON_SSE2`, `RAPIDJSON_SSE42` or `RAPIDJSON_NEON` before including `rapidjson.h`. Some compilers can detect the setting, as in `perftest.h`: |
| |
| ~~~cpp |
| // __SSE2__ and __SSE4_2__ are recognized by gcc, clang, and the Intel compiler. |
| // We use -march=native with gmake to enable -msse2 and -msse4.2, if supported. |
| // Likewise, __ARM_NEON is used to detect Neon. |
| #if defined(__SSE4_2__) |
| # define RAPIDJSON_SSE42 |
| #elif defined(__SSE2__) |
| # define RAPIDJSON_SSE2 |
| #elif defined(__ARM_NEON) |
| # define RAPIDJSON_NEON |
| #endif |
| ~~~ |
| |
| Note that, these are compile-time settings. Running the executable on a machine without such instruction set support will make it crash. |
| |
| ### Page boundary issue |
| |
| In an early version of RapidJSON, [an issue](https://code.google.com/archive/p/rapidjson/issues/104) reported that the `SkipWhitespace_SIMD()` causes crash very rarely (around 1 in 500,000). After investigation, it is suspected that `_mm_loadu_si128()` accessed bytes after `'\0'`, and across a protected page boundary. |
| |
| In [Intel® 64 and IA-32 Architectures Optimization Reference Manual |
| ](http://www.intel.com/content/www/us/en/architecture-and-technology/64-ia-32-architectures-optimization-manual.html), section 10.2.1: |
| |
| > To support algorithms requiring unaligned 128-bit SIMD memory accesses, memory buffer allocation by a caller function should consider adding some pad space so that a callee function can safely use the address pointer safely with unaligned 128-bit SIMD memory operations. |
| > The minimal padding size should be the width of the SIMD register that might be used in conjunction with unaligned SIMD memory access. |
| |
| This is not feasible as RapidJSON should not enforce such requirement. |
| |
| To fix this issue, currently the routine process bytes up to the next aligned address. After tha, use aligned read to perform SIMD processing. Also see [#85](https://github.com/Tencent/rapidjson/issues/85). |
| |
| ## Local Stream Copy {#LocalStreamCopy} |
| |
| During optimization, it is found that some compilers cannot localize some member data access of streams into local variables or registers. Experimental results show that for some stream types, making a copy of the stream and used it in inner-loop can improve performance. For example, the actual (non-SIMD) implementation of `SkipWhitespace()` is implemented as: |
| |
| ~~~cpp |
| template<typename InputStream> |
| void SkipWhitespace(InputStream& is) { |
| internal::StreamLocalCopy<InputStream> copy(is); |
| InputStream& s(copy.s); |
| |
| while (s.Peek() == ' ' || s.Peek() == '\n' || s.Peek() == '\r' || s.Peek() == '\t') |
| s.Take(); |
| } |
| ~~~ |
| |
| Depending on the traits of stream, `StreamLocalCopy` will make (or not make) a copy of the stream object, use it locally and copy the states of stream back to the original stream. |
| |
| ## Parsing to Double {#ParsingDouble} |
| |
| Parsing string into `double` is difficult. The standard library function `strtod()` can do the job but it is slow. By default, the parsers use normal precision setting. This has has maximum 3 [ULP](http://en.wikipedia.org/wiki/Unit_in_the_last_place) error and implemented in `internal::StrtodNormalPrecision()`. |
| |
| When using `kParseFullPrecisionFlag`, the parsers calls `internal::StrtodFullPrecision()` instead, and this function actually implemented 3 versions of conversion methods. |
| 1. [Fast-Path](http://www.exploringbinary.com/fast-path-decimal-to-floating-point-conversion/). |
| 2. Custom DIY-FP implementation as in [double-conversion](https://github.com/floitsch/double-conversion). |
| 3. Big Integer Method as in (Clinger, William D. How to read floating point numbers accurately. Vol. 25. No. 6. ACM, 1990). |
| |
| If the first conversion methods fail, it will try the second, and so on. |
| |
| # Generation Optimization {#GenerationOptimization} |
| |
| ## Integer-to-String conversion {#itoa} |
| |
| The naive algorithm for integer-to-string conversion involves division per each decimal digit. We have implemented various implementations and evaluated them in [itoa-benchmark](https://github.com/miloyip/itoa-benchmark). |
| |
| Although SSE2 version is the fastest but the difference is minor by comparing to the first running-up `branchlut`. And `branchlut` is pure C++ implementation so we adopt `branchlut` in RapidJSON. |
| |
| ## Double-to-String conversion {#dtoa} |
| |
| Originally RapidJSON uses `snprintf(..., ..., "%g")` to achieve double-to-string conversion. This is not accurate as the default precision is 6. Later we also find that this is slow and there is an alternative. |
| |
| Google's V8 [double-conversion](https://github.com/floitsch/double-conversion |
| ) implemented a newer, fast algorithm called Grisu3 (Loitsch, Florian. "Printing floating-point numbers quickly and accurately with integers." ACM Sigplan Notices 45.6 (2010): 233-243.). |
| |
| However, since it is not header-only so that we implemented a header-only version of Grisu2. This algorithm guarantees that the result is always accurate. And in most of cases it produces the shortest (optimal) string representation. |
| |
| The header-only conversion function has been evaluated in [dtoa-benchmark](https://github.com/miloyip/dtoa-benchmark). |
| |
| # Parser {#Parser} |
| |
| ## Iterative Parser {#IterativeParser} |
| |
| The iterative parser is a recursive descent LL(1) parser |
| implemented in a non-recursive manner. |
| |
| ### Grammar {#IterativeParserGrammar} |
| |
| The grammar used for this parser is based on strict JSON syntax: |
| ~~~~~~~~~~ |
| S -> array | object |
| array -> [ values ] |
| object -> { members } |
| values -> non-empty-values | ε |
| non-empty-values -> value addition-values |
| addition-values -> ε | , non-empty-values |
| members -> non-empty-members | ε |
| non-empty-members -> member addition-members |
| addition-members -> ε | , non-empty-members |
| member -> STRING : value |
| value -> STRING | NUMBER | NULL | BOOLEAN | object | array |
| ~~~~~~~~~~ |
| |
| Note that left factoring is applied to non-terminals `values` and `members` |
| to make the grammar be LL(1). |
| |
| ### Parsing Table {#IterativeParserParsingTable} |
| |
| Based on the grammar, we can construct the FIRST and FOLLOW set. |
| |
| The FIRST set of non-terminals is listed below: |
| |
| | NON-TERMINAL | FIRST | |
| |:-----------------:|:--------------------------------:| |
| | array | [ | |
| | object | { | |
| | values | ε STRING NUMBER NULL BOOLEAN { [ | |
| | addition-values | ε COMMA | |
| | members | ε STRING | |
| | addition-members | ε COMMA | |
| | member | STRING | |
| | value | STRING NUMBER NULL BOOLEAN { [ | |
| | S | [ { | |
| | non-empty-members | STRING | |
| | non-empty-values | STRING NUMBER NULL BOOLEAN { [ | |
| |
| The FOLLOW set is listed below: |
| |
| | NON-TERMINAL | FOLLOW | |
| |:-----------------:|:-------:| |
| | S | $ | |
| | array | , $ } ] | |
| | object | , $ } ] | |
| | values | ] | |
| | non-empty-values | ] | |
| | addition-values | ] | |
| | members | } | |
| | non-empty-members | } | |
| | addition-members | } | |
| | member | , } | |
| | value | , } ] | |
| |
| Finally the parsing table can be constructed from FIRST and FOLLOW set: |
| |
| | NON-TERMINAL | [ | { | , | : | ] | } | STRING | NUMBER | NULL | BOOLEAN | |
| |:-----------------:|:---------------------:|:---------------------:|:-------------------:|:-:|:-:|:-:|:-----------------------:|:---------------------:|:---------------------:|:---------------------:| |
| | S | array | object | | | | | | | | | |
| | array | [ values ] | | | | | | | | | | |
| | object | | { members } | | | | | | | | | |
| | values | non-empty-values | non-empty-values | | | ε | | non-empty-values | non-empty-values | non-empty-values | non-empty-values | |
| | non-empty-values | value addition-values | value addition-values | | | | | value addition-values | value addition-values | value addition-values | value addition-values | |
| | addition-values | | | , non-empty-values | | ε | | | | | | |
| | members | | | | | | ε | non-empty-members | | | | |
| | non-empty-members | | | | | | | member addition-members | | | | |
| | addition-members | | | , non-empty-members | | | ε | | | | | |
| | member | | | | | | | STRING : value | | | | |
| | value | array | object | | | | | STRING | NUMBER | NULL | BOOLEAN | |
| |
| There is a great [tool](http://hackingoff.com/compilers/predict-first-follow-set) for above grammar analysis. |
| |
| ### Implementation {#IterativeParserImplementation} |
| |
| Based on the parsing table, a direct(or conventional) implementation |
| that pushes the production body in reverse order |
| while generating a production could work. |
| |
| In RapidJSON, several modifications(or adaptations to current design) are made to a direct implementation. |
| |
| First, the parsing table is encoded in a state machine in RapidJSON. |
| States are constructed by the head and body of production. |
| State transitions are constructed by production rules. |
| Besides, extra states are added for productions involved with `array` and `object`. |
| In this way the generation of array values or object members would be a single state transition, |
| rather than several pop/push operations in the direct implementation. |
| This also makes the estimation of stack size more easier. |
| |
| The state diagram is shown as follows: |
| |
|  |
| |
| Second, the iterative parser also keeps track of array's value count and object's member count |
| in its internal stack, which may be different from a conventional implementation. |