[][src]Crate no_proto

High Performance Serialization Library

Faster than JSON with Schemas and Native Types. Protocol Buffers you can update without compiling.

Github | Crates.io | Documentation

TODO:

  • [x] Finish implementing Lists, Tuples & Maps
  • [x] Collection Iterator
  • [x] Compaction
  • [ ] Documentation
  • [ ] Tests

Features

  • Zero dependencies
  • #![no_std] support, WASM ready
  • Supports bytewise sorting of buffers
  • Thorough Documentation
  • Automatic & instant serilization
  • Nearly instant deserialization
  • Schemas are dynamic/flexible at runtime
  • Mutate/Update/Delete values in existing buffers
  • Supports native data types
  • Supports collection types (list, map, table & tuple)
  • Supports deep nesting of collection types

NoProto allows you to store, read & mutate structured data with near zero overhead. It's like Cap'N Proto/Flatbuffers except buffers and schemas are dynamic at runtime instead of requiring compilation. It's like JSON but faster, type safe and allows native types.

Bytewise sorting comes in the box and is a first class operation. The result is two NoProto buffers can be compared at the byte level without deserializing and a correct ordering between the buffer's internal values will be the result. This is extremely useful for storing ordered keys in databases.

NoProto moves the cost of deserialization to the access methods instead of deserializing the entire object ahead of time. This makes it a perfect use case for things like database storage or file storage of structured data.

Compared to FlatBuffers / Cap'N Proto

  • Schemas are dynamic at runtime, no compilation step
  • Supports more types and better nested type support
  • Bytewise sorting is first class operation
  • Mutate (add/delete/update) existing/imported buffers

Compared to JSON

  • Has schemas / type safe
  • Supports bytewise sorting
  • Faster serialization & deserialization
  • Supports raw bytes & other native types

Compared to BSON

  • Faster serialization & deserialization
  • Has schemas / type safe
  • Bytewise sorting is first class operation
  • Supports much larger documents (4GB vs 16MB)
  • Better collection support & more supported types

Compared to Serde

  • Supports bytewise sorting
  • Objects & schemas are dynamic at runtime
  • Faster serialization & deserialization
FormatFree De/SerializationSize LimitMutatableSchemasLanguage AgnosticRuntime DynamicBytewise Sorting
NoProto~4GB
JSON𐄂Unlimited𐄂𐄂
BSON𐄂~16KB𐄂𐄂
MessagePack𐄂Unlimited𐄂𐄂
FlatBuffers~2GB𐄂𐄂𐄂
Protocol Buffers𐄂~2GB𐄂𐄂𐄂
Cap'N Proto2^64 Bytes𐄂𐄂𐄂
Serde𐄂?𐄂𐄂𐄂

Limitations

  • Buffers cannot be larger than 2^32 bytes (~4GB).
  • Tables & List collections cannot have more than 2^16 items (~16k).
  • Enum/Option types are limited to 2^8 or 255 choices.
  • Tuple types are limited to 2^8 or 255 items.
  • Buffers are not validated or checked before deserializing.

Quick Example

use no_proto::error::NP_Error;
use no_proto::NP_Factory;
use no_proto::NP;
use no_proto::collection::table::NP_Table;
use no_proto::pointer::NP_Ptr;
 
// JSON is used to describe schema for the factory
// Each factory represents a single schema
// One factory can be used to serialize/deserialize any number of buffers
let user_factory = NP_Factory::new(r#"{
    "type": "table",
    "columns": [
        ["name",   {"type": "string"}],
        ["age",    {"type": "u16", "default": 0}],
        ["tags",   {"type": "list", "of": {
            "type": "string"
        }}]
    ]
}"#)?;
 
 
// create a new empty buffer
let mut user_buffer = user_factory.empty_buffer(None); // optional capacity
 
// set an internal value of the buffer, set the  "name" column
user_buffer.deep_set("name", String::from("Billy Joel"))?;
 
// assign nested internal values, sets the first tag element
user_buffer.deep_set("tags.0", String::from("first tag"))?;
 
// get an internal value of the buffer from the "name" column
let name = user_buffer.deep_get::<String>("name")?;
assert_eq!(name, Some(Box::new(String::from("Billy Joel"))));
 
// close buffer and get internal bytes
let user_bytes: Vec<u8> = user_buffer.close();
 
// open the buffer again
let user_buffer_2 = user_factory.open_buffer(user_bytes);
 
// get nested internal value, first tag from the tag list
let tag = user_buffer_2.deep_get::<String>("tags.0")?;
assert_eq!(tag, Some(Box::new(String::from("first tag"))));
 
// close again
let user_bytes: Vec<u8> = user_buffer_2.close();
 
// we can now save user_bytes to disk, 
// send it over the network, or whatever else is needed with the data
 

Guided Learning / Next Steps:

  1. Schemas - Learn how to build & work with schemas.
  2. Factories - Parsing schemas into something you can work with.
  3. Buffers - How to create, update & compact buffers.
  4. Pointers - How to add, remove and edit values in a buffer.

MIT License

Copyright (c) 2020 Scott Lott

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Modules

buffer

Top level abstraction for buffer objects

collection

Collections: NP_Table, NP_Tuple, NP_List & NP_Map

error

Primary error type used by the library

json_flex

JSON Parser, serializer and deserializer

pointer

All values in buffers are accessed and modified through pointers

schema

Schemas are JSON used to declare the shape of buffer objects

Structs

NP

The different options for opening a buffer

NP_Factory

Factories are created from schemas. Once you have a factory you can use it to decode, encode, edit and compact buffers