summaryrefslogtreecommitdiff
path: root/sl4n/rapidjson/doc/internals.md
diff options
context:
space:
mode:
Diffstat (limited to 'sl4n/rapidjson/doc/internals.md')
-rw-r--r--sl4n/rapidjson/doc/internals.md351
1 files changed, 0 insertions, 351 deletions
diff --git a/sl4n/rapidjson/doc/internals.md b/sl4n/rapidjson/doc/internals.md
deleted file mode 100644
index de482cb..0000000
--- a/sl4n/rapidjson/doc/internals.md
+++ /dev/null
@@ -1,351 +0,0 @@
-# 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.
-
-![Architecture UML class diagram](diagram/architecture.png)
-
-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.
-
-![Utility classes UML class diagram](diagram/utilityclass.png)
-
-# 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_` indiciates 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 endianess. 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 (@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 {#Allocator}
-
-`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}
-
-`MemoryPoolAllocator` is the default allocator for DOM. It allocate but do not free memory. This is suitable for building a DOM tree.
-
-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](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 only supports SSE2 and SSE4.2 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` or `RAPIDJSON_SSE42` 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.
-#if defined(__SSE4_2__)
-# define RAPIDJSON_SSE42
-#elif defined(__SSE2__)
-# define RAPIDJSON_SSE2
-#endif
-~~~
-
-Note that, these are compile-time settings. Running the executable on a machine without such instruction set support will make it crash.
-
-## 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:
-
-![State Diagram](diagram/iterative-parser-states-diagram.png)
-
-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.