json/docs/mkdocs/docs/features/binary_formats/bjdata.md

BJData

The BJData format was derived from and improved upon Universal Binary JSON(UBJSON) specification (Draft 12). Specifically, it introduces an optimized array container for efficient storage of N-dimensional packed arrays (ND-arrays); it also adds 5 new type markers - [u] - uint16, [m] - uint32, [M] - uint64, [h] - float16 and [B] - byte - to unambiguously map common binary numeric types; furthermore, it uses little-endian (LE) to store all numerics instead of big-endian (BE) as in UBJSON to avoid unnecessary conversions on commonly available platforms.

Compared to other binary JSON-like formats such as MessagePack and CBOR, both BJData and UBJSON demonstrate a rare combination of being both binary and quasi-human-readable. This is because all semantic elements in BJData and UBJSON, including the data-type markers and name/string types, are directly human-readable. Data stored in the BJData/UBJSON format is not only compact in size, fast to read/write, but also can be directly searched or read using simple processing.

!!! abstract "References"

- [BJData Specification](https://neurojson.org/bjdata/draft2)

Serialization

The library uses the following mapping from JSON values types to BJData types according to the BJData specification:

JSON value type	value/range	BJData type	marker
null	null	null	Z
boolean	true	true	T
boolean	false	false	F
number_integer	-9223372036854775808..-2147483649	int64	L
number_integer	-2147483648..-32769	int32	l
number_integer	-32768..-129	int16	I
number_integer	-128..127	int8	i
number_integer	128..255	uint8	U
number_integer	256..32767	int16	I
number_integer	32768..65535	uint16	u
number_integer	65536..2147483647	int32	l
number_integer	2147483648..4294967295	uint32	m
number_integer	4294967296..9223372036854775807	int64	L
number_integer	9223372036854775808..18446744073709551615	uint64	M
number_unsigned	0..127	int8	i
number_unsigned	128..255	uint8	U
number_unsigned	256..32767	int16	I
number_unsigned	32768..65535	uint16	u
number_unsigned	65536..2147483647	int32	l
number_unsigned	2147483648..4294967295	uint32	m
number_unsigned	4294967296..9223372036854775807	int64	L
number_unsigned	9223372036854775808..18446744073709551615	uint64	M
number_float	any value	float64	D
string	with shortest length indicator	string	S
array	see notes on optimized format/ND-array	array	[
object	see notes on optimized format	map	{
binary	see notes on binary values	array	[$B

!!! success "Complete mapping"

The mapping is **complete** in the sense that any JSON value type can be converted to a BJData value.

Any BJData output created by `to_bjdata` can be successfully parsed by `from_bjdata`.

!!! warning "Size constraints"

The following values can **not** be converted to a BJData value:

  - strings with more than 18446744073709551615 bytes, i.e., 2<sup>64</sup>-1 bytes (theoretical)

!!! info "Unused BJData markers"

The following markers are not used in the conversion:

- `Z`: no-op values are not created.
- `C`: single-byte strings are serialized with `S` markers.

!!! info "NaN/infinity handling"

If NaN or Infinity are stored inside a JSON number, they are serialized properly. This behavior differs from the
`dump()` function which serializes NaN or Infinity to `#!json null`.

!!! info "Endianness"

A breaking difference between BJData and UBJSON is the endianness of numerical values. In BJData, all numerical data
types (integers `UiuImlML` and floating-point values `hdD`) are stored in the little-endian (LE) byte order as
opposed to big-endian as used by UBJSON. Adopting LE to store numeric records avoids unnecessary byte swapping on
most modern computers where LE is used as the default byte order.

!!! info "Optimized formats"

Optimized formats for containers are supported via two parameters of
[`to_bjdata`](../../api/basic_json/to_bjdata.md):

- Parameter `use_size` adds size information to the beginning of a container and removes the closing marker.
- Parameter `use_type` further checks whether all elements of a container have the same type and adds the type
  marker to the beginning of the container. The `use_type` parameter must only be used together with
  `use_size = true`.

Note that `use_size = true` alone may result in larger representations - the benefit of this parameter is that the
receiving side is immediately informed of the number of elements in the container.

!!! info "ND-array optimized format"

BJData extends UBJSON's optimized array **size** marker to support ND-arrays of uniform numerical data types
(referred to as *packed arrays*). For example, the 2-D `uint8` integer array `[[1,2],[3,4],[5,6]]`, stored as nested
optimized array in UBJSON `[ [$U#i2 1 2 [$U#i2 3 4 [$U#i2 5 6 ]`, can be further compressed in BJData to
`[$U#[$i#i2 2 3 1 2 3 4 5 6` or `[$U#[i2 i3] 1 2 3 4 5 6`.

To maintain type and size information, ND-arrays are converted to JSON objects following the **annotated array
format** (defined in the [JData specification (Draft 3)][JDataAAFmt]), when parsed using
[`from_bjdata`](../../api/basic_json/from_bjdata.md). For example, the above 2-D `uint8` array can be parsed and
accessed as

```json
{
    "_ArrayType_": "uint8",
    "_ArraySize_": [2,3],
    "_ArrayData_": [1,2,3,4,5,6]
}
```

Likewise, when a JSON object in the above form is serialized using
[`to_bjdata`](../../api/basic_json/to_bjdata.md), it is automatically converted into a compact BJData ND-array.

When parsing, an ND-array whose dimension vector is empty, contains a single integer, contains two integers with the
first being 1, or contains a 0 is returned as a regular (possibly empty) array rather than an annotated object.

An object is only converted if the annotation describes a packed array that is parsed back into the same annotated
object; otherwise it is serialized as a regular JSON object, so the annotation is never lost in a round trip. This requires
all of the following:

- `"_ArrayType_"` is one of `uint8`, `int8`, `uint16`, `int16`, `uint32`, `int32`, `uint64`, `int64`, `single`,
  `double`, `char`, or `byte`,
- `"_ArraySize_"` is an array, since the dimensions are written as the ND-array header's length,
- `"_ArraySize_"` has at least two entries and is not a 1×N row vector (first entry 1), since other shapes are
  parsed back as a regular array,
- every entry of `"_ArraySize_"` is a positive integer, and their product is representable as a `std::size_t`,
- `"_ArrayData_"` is an array holding exactly that many elements, and
- every element of `"_ArrayData_"` is a number of the kind named by `"_ArrayType_"` (a floating-point number for
  `single` and `double`, an integer otherwise).

The current version of this library does not yet support automatic detection of and conversion from a nested JSON
array input to a BJData ND-array.

[JDataAAFmt]: https://github.com/NeuroJSON/jdata/blob/master/JData_specification.md#annotated-storage-of-n-d-arrays

!!! info "Restrictions in optimized data types for arrays and objects"

Due to diminished space saving, hampered readability, and increased security risks, in BJData, the allowed data
types following the `$` marker in an optimized array and object container are restricted to
**non-zero-fixed-length** data types. Therefore, the valid optimized type markers can only be one of
`UiuImlMLhdDCB`. This also means other variable (`[{SH`) or zero-length types (`TFN`) can not be used in an
optimized array or object in BJData.

!!! info "Binary values"

BJData provides a dedicated `B` marker (defined in the [BJData specification (Draft 3)][BJDataBinArr]) that is used
in optimized arrays to designate binary data. This means that, unlike UBJSON, binary data can be both serialized and
deserialized.

To preserve compatibility with BJData Draft 2, the Draft 3 optimized binary array must be explicitly enabled using
the `version` parameter of [`to_bjdata`](../../api/basic_json/to_bjdata.md).

In Draft2 mode (default), if the JSON data contains the binary type, the value stored as a list of integers, as
suggested by the BJData documentation. In particular, this means that the serialization and the deserialization of
JSON containing binary values into BJData and back will result in a different JSON object.

[BJDataBinArr]: https://github.com/NeuroJSON/bjdata/blob/master/Binary_JData_Specification.md#optimized-binary-array

??? example

```cpp
--8<-- "examples/to_bjdata.cpp"
```

Output:

```c
--8<-- "examples/to_bjdata.output"
```

Deserialization

The library maps BJData types to JSON value types as follows:

BJData type	JSON value type	marker
no-op	no value, next value is read	N
null	null	Z
false	false	F
true	true	T
float16	number_float	h
float32	number_float	d
float64	number_float	D
uint8	number_unsigned	U
int8	number_integer	i
uint16	number_unsigned	u
int16	number_integer	I
uint32	number_unsigned	m
int32	number_integer	l
uint64	number_unsigned	M
int64	number_integer	L
byte	number_unsigned	B
string	string	S
char	string	C
array	array (optimized values are supported)	[
ND-array	object (in JData annotated array format)	[$.#[.
object	object (optimized values are supported)	{
binary	binary (strongly-typed byte array)	[$B

!!! success "Complete mapping"

The mapping is **complete** in the sense that any BJData value can be converted to a JSON value.

!!! info "Round trips"

A value returned by [`from_bjdata`](../../api/basic_json/from_bjdata.md) can be serialized with
[`to_bjdata`](../../api/basic_json/to_bjdata.md) using any combination of options and parsed back into an equal
value, and serializing that value again with the same options produces the same bytes. The exception is binary
values: they are only written as an optimized binary array (`[$B`) if Draft 3 is enabled and both `use_size` and
`use_type` are set. Otherwise, they are written as arrays of integers and parsed back as such (see the notes on
binary values above), and serializing such an array again may choose different, but equally valid, type markers.
The bytes can then differ, but parsing them again yields the same value.

??? example

```cpp
--8<-- "examples/from_bjdata.cpp"
```

Output:

```json
--8<-- "examples/from_bjdata.output"
```