Type Mapping

Fury Type	Fury Type ID	Java	Python	Javascript	C++	Golang	Rust
bool	1	bool/Boolean	bool	Boolean	bool	bool	bool
int8	2	byte/Byte	int/pyfury.Int8	Type.int8()	int8_t	int8	i8
int16	3	short/Short	int/pyfury.Int16	Type.int16()	int16_t	int16	i6
int32	4	int/Integer	int/pyfury.Int32	Type.int32()	int32_t	int32	i32
var_int32	5	int/Integer	int/pyfury.VarInt32	Type.varint32()	fury::varint32_t	fury.varint32	fury::varint32
int64	6	long/Long	int/pyfury.Int64	Type.int64()	int64_t	int64	i64
var_int64	7	long/Long	int/pyfury.VarInt64	Type.varint64()	fury::varint64_t	fury.varint64	fury::varint64
sli_int64	8	long/Long	int/pyfury.SliInt64	Type.sliint64()	fury::sliint64_t	fury.sliint64	fury::sliint64
float16	9	float/Float	float/pyfury.Float16	Type.float16()	fury::float16_t	fury.float16	fury::f16
float32	10	float/Float	float/pyfury.Float32	Type.float32()	float	float32	f32
float64	11	double/Double	float/pyfury.Float64	Type.float64()	double	float64	f64
string	12	String	str	String	string	string	String/str
enum	13	Enum subclasses	enum subclasses	/	enum	/	enum
list	14	List/Collection	list/tuple	array	vector	slice	Vec
set	15	Set	set	/	set	fury.Set	Set
map	16	Map	dict	Map	unordered_map	map	HashMap
duration	17	Duration	timedelta	Number	duration	Duration	Duration
timestamp	18	Instant	datetime	Number	std::chrono::nanoseconds	Time	DateTime
decimal	19	BigDecimal	Decimal	bigint	/	/	/
binary	20	byte[]	bytes	/	`uint8_t[n]/vector<T>`	`[n]uint8/[]T`	`Vec<uint8_t>`
array	21	array	np.ndarray	/	/	array/slice	Vec
bool_array	22	bool[]	ndarray(np.bool_)	/	`bool[n]`	`[n]bool/[]T`	`Vec<bool>`
int8_array	23	byte[]	ndarray(int8)	/	`int8_t[n]/vector<T>`	`[n]int8/[]T`	`Vec<i18>`
int16_array	24	short[]	ndarray(int16)	/	`int16_t[n]/vector<T>`	`[n]int16/[]T`	`Vec<i16>`
int32_array	25	int[]	ndarray(int32)	/	`int32_t[n]/vector<T>`	`[n]int32/[]T`	`Vec<i32>`
int64_array	26	long[]	ndarray(int64)	/	`int64_t[n]/vector<T>`	`[n]int64/[]T`	`Vec<i64>`
float16_array	27	float[]	ndarray(float16)	/	`fury::float16_t[n]/vector<T>`	`[n]float16/[]T`	`Vec<fury::f16>`
float32_array	28	float[]	ndarray(float32)	/	`float[n]/vector<T>`	`[n]float32/[]T`	`Vec<f32>`
float64_array	29	double[]	ndarray(float64)	/	`double[n]/vector<T>`	`[n]float64/[]T`	`Vec<f64>`
tensor	30	/	/	/	/	/	/
sparse tensor	31	/	/	/	/	/	/
arrow record batch	32	/	/	/	/	/	/
arrow table	33	/	/	/	/	/	/

Type info(not implemented currently)

Due to differences between type systems of languages, those types can't be mapped one-to-one between languages.

If the user notices that one type on a language corresponds to multiple types in Fury type systems, for example, long in java has type int64/varint64/sliint64, it means the language lacks some types, and the user must provide extra type info when using Fury.

Type annotation

If the type is a field of another class, users can provide meta hints for fields of a type, or for the whole type. Such information can be provided in other languages too:

java: use annotation.
cpp: use macro and template.
golang: use struct tag.
python: use typehint.
rust: use macro.

Here is en example:

Java:

class Foo {
  @Int32Type(varint = true)
  int f1;
  List<@Int32Type(varint = true) Integer> f2;
}

Python:

class Foo:
    f1: Int32Type(varint=True)
    f2: List[Int32Type(varint=True)]

Type wrapper

If the type is not a field of a class, the user must wrap this type with a Fury type to pass the extra type info.

For example, suppose Fury Java provide a VarInt64 type, when a user invoke fury.serialize(long_value), he need to invoke like fury.serialize(new VarInt64(long_value)).

Type Mapping

Type info(not implemented currently)

Type annotation​

Type wrapper​

Type annotation

Type wrapper