expry
expry is a fast schemaless binary format for data, with the ability for filtering and selecting parts of the information using expressions over the stored binary data. Expressions are compiled and optimized to bytecode, and during evaluation this bytecode is interpreted.
JSON can be read into these data structures (using expry_parse_json). Because expry supports binary strings, not all expry values can be exported to JSON.
The following data types are supported:
null;bool;int64;float;double;string;array;object.
Expressions
Expressions over binary objects are compiled to byte code, and can be transmitted over the network. This bytecode can be quickly evaluated, as the bytecode is optimized on the way the binary objects are stored on a low level. Keys inside objects are stored in an ordered way. If keys are not needed any more for evaluation of the current expression, they are permanently skipped.
- Constants:
null,false,true, numbers (including:0x...,0b...,...f), strings with'string'or"string"(including raw strings usingr#"..."#with variable number of#, and hex strings withx'hex'andx"hex"and ). - Conditionals: if-then-else is support with the conditional (ternary) operator:
cond ? then-part : else-part. - Object expression with
{fields?}, with optional fields, individual fields separated by,(last entry can have a trailing,):- fields can be
name: exprwith expr an expression or a primary data type (see above); - fields can be
"name": exprwith expr an expression or a primary data type (see above); - fields can be
field(orfield???), which copies the field from thethisobject; - fields can be
(expr): exprto dynamically generate a field name (must be a string), e.g.{ (somefield): 42, }(results in{x: 42}ifsomefieldis"x").
- fields can be
- Array expressions:
[expressions?], with the optionalexpressionswhich are one or more expressions delimited by,(last entry can have a trailing,). Example:[ 42+42, 37+37, ]. - Arithmetic operators:
+,-,*,/,**(pow),%(mod). - Bitwise operators:
|,&,^(xor),<<,>> - Logical operators:
&&,||,a ? b : c,==,!=,>,>=,<,<=. - Special
thisfield, to signify current object. - Array subscription:
a[b](array subscription) is supported to access indiviual elements in arrays - Length operator:
field.len()which result in the length of the field if it is a string (number of bytes), array (number of elements), or object (number of key-values).
- String operators:
a .. b: concatenate stringsaandb;a *= b: true if stringacontains with stringba $= b: true if stringaends with stringba ^= b: true if stringastarts with stringb
- Field operators:
a.b.c.dis supported to access subfields;a.get(b).get(c).get(d)is supported for dynamic subfields;
- Error operators:
- try operator:
a ??? b: if there is an error during evaluation ofa(like an undefined field, or division by zero). The shorthanda ???is equivalent toa ??? null. Alternative syntax istry(a, b)andtry(a). - not-null-else operator:
a ?? b: ifais null, returnb. defined(x)andundefined(x): checks if value is (un)defined (such as a field lookup).
- try operator:
- String methods:
.trim().lower().upper().hex().htmlescape().urlescape().sub(int[, int])(third argument is length of resulting string, default the max integer value).basename().dirname().splitn(max, split_on)(split_on is the splitting string, max is the max number of elements in the resulting array), results in an array of strings
- Type methods:
.tostring().tointeger().tofloat().todouble()
- Array methods:
array.extend(array)combines two arrays.
- Methods taking a lambda function as argument. Lambda functions are specified as
|x| exprwithxthe argument to the lambda function.value.apply(lambda)applies the lambda to the value.array.update(pos, |v| ...)updates the array at positionposwith the result of the lambda.array.filter(|v| ...)filters array to only contain elementsewherelambda(v)returns true (note that lambda should always return a boolean, otherwise the filter will fail)array.map(|v| ...)maps array of elementseto an array of elementslambda(e)array.sort_by_key(lambda)sorts array of elementsebased on keylambda(e). Sorting of values is based on this type order: null, bool, int, float, double, string, array, object. If the type matches, the sorting is performed on the contents itself. Note that sorting of NaN floats will yield a dynamic error as this is not defined.array.to_object(lamba)converts the array to an object, in which the key is the first value of the array returned by the lambda. The value is the second value of the array returned by the lambda.array.to_map(lamba)creates a key - array of values object. The lambda returns [key, sort, value], where the arrays are sorted by the returnedsort.array.group_by(lambda1, lambda2). First lambda returns the group, second lambda gets all the elements in a group and processes them. Returns an object.array.fold(init, lambda)folds the array into a single value, starting withinitand applying the lambda to the accumulator and the current value, returning the new accumulator.object.to_array(|k,v| ...)creates an array by converting every entry using a lambda that gets a key-vaklue pair as argument.
User defined functions
During evaluation, there is also the possibility to add user defined functions. These user defined functions are only known at evaluation time, therefore there is no static type checking in place. Only runtime errors are generated if the number of arguments or type of arguments do not match.
Easily convert custom data types to values
Using the From trait, custom data types can be easily converted to values, even if they are
contained in data structures like Vec.
use expry::*;
struct Foo {
foo: u32,
bar: bool,
}
impl<'a> From<&'a Foo> for DecodedValue<'a> {
fn from(v: &'a Foo) -> Self {
value!({
"foo": v.foo as i64,
"bar": v.bar,
})
}
}
let foos = vec![
Foo{foo:1,bar:true},
Foo{foo:2,bar:false},
];
let encoded_value = value!({
"foo": Foo{foo:1,bar:true},
"foos": foos,
}).encode_to_vec(false);