@streamparser/json

Fast dependency-free library to parse a JSON stream using utf-8 encoding in Node.js, Deno or any modern browser. Fully compliant with the JSON spec and JSON.parse(...).

tldr;

import { JSONParser } from '@streamparser/json';

const parser = new JSONParser();
parser.onValue = ({ value }) => { /* process data */ };

// Or passing the stream in several chunks 
try {
  parser.write('{ "test": ["a"] }');
  // onValue will be called 3 times:
  // "a"
  // ["a"]
  // { test: ["a"] }
} catch (err) {
  console.log(err); // handler errors 
}

@streamparser/json ecosystem

There are multiple flavours of @streamparser:

• The @streamparser/json package allows to parse any JSON string or stream using pure Javascript.
• The @streamparser/json-whatwg wraps @streamparser/json into a WHATWG TransformStream.
• The @streamparser/json-node wraps @streamparser/json into a node Transform stream.

Dependencies / Polyfilling

@streamparser/json requires a few ES6 classes:

• Uint8Array
• TextEncoder
• TextDecoder

If you are targeting browsers or systems in which these might be missing, you need to polyfil them.

Components

Tokenizer

A JSON compliant tokenizer that parses a utf-8 stream into JSON tokens

import { Tokenizer } from '@streamparser/json';

const tokenizer = new Tokenizer(opts);

The available options are:

{
  stringBufferSize: <number>, // set to 0 to don't buffer. Min valid value is 4.
  numberBufferSize: <number>, // set to 0 to don't buffer.
  separator: <string>, // separator between object. For example `\n` for nd-js.
  emitPartialTokens: <boolean> // whether to emit tokens mid-parsing.
}

If buffer sizes are set to anything else than zero, instead of using a string to apppend the data as it comes in, the data is buffered using a TypedArray. A reasonable size could be 64 * 1024 (64 KB).

Buffering

When parsing strings or numbers, the parser needs to gather the data in-memory until the whole value is ready.

Strings are inmutable in Javascript so every string operation creates a new string. The V8 engine, behind Node, Deno and most modern browsers, performs a many different types of optimization. One of this optimizations is to over-allocate memory when it detects many string concatenations. This increases significatly the memory consumption and can easily exhaust your memory when parsing JSON containing very large strings or numbers. For those cases, the parser can buffer the characters using a TypedArray. This requires encoding/decoding from/to the buffer into an actual string once the value is ready. This is done using the TextEncoder and TextDecoder APIs. Unfortunately, these APIs creates a significant overhead when the strings are small so should be used only when strictly necessary.

Properties & Methods

• write(data: string|typedArray|buffer) push data into the tokenizer.
• end() closes the tokenizer so it can not be used anymore. Throws an error if the tokenizer was in the middle of parsing.
• isEnded readonly boolean property indicating whether the Tokenizer is ended or is still accepting data.
• parseNumber(numberStr) method used internally to parse numbers. By default, it is equivalent to Number(numberStr) but the user can override it if he wants some other behaviour.
• onToken({ token: TokenType, value: any, offset: number }) no-op method that the user should override to follow the tokenization process.
• onError(err: Error) no-op method that the user can override to act on errors. If not set, the write method simply throws synchronously.
• onEnd() no-op method that the user can override to act when the tokenizer is ended.

// You can override the overridable methods by creating your own class extending Tokenizer
class MyTokenizer extends Tokenizer {
  parseNumber(numberStr) {
    const number = super.parseNumber(numberStr);
    // if number is too large. Just keep the string.
    return Number.isFinite(numberStr) ? number : numberStr;
  }
  onToken({ token, value }) {
    if (token = TokenTypes.NUMBER && typeof value === 'string') {
      super(TokenTypes.STRING, value);
    } else {
      super(token, value);
    }
  }
}

const myTokenizer = new MyTokenizer();

// or just overriding it
const tokenizer = new Tokenizer();
tokenizer.parseNumber = (numberStr) => { ... };
tokenizer.onToken = ({ token, value, offset }) => { ... };

TokenParser

A token parser that processes JSON tokens as emitted by the Tokenizer and emits JSON values/objects.

import { TokenParser} from '@streamparser/json';

const tokenParser = new TokenParser(opts);

The available options are:

{
  paths: <string[]>,
  keepStack: <boolean>, // whether to keep all the properties in the stack
  separator: <string>, // separator between object. For example `\n` for nd-js. If left empty or set to undefined, the token parser will end after parsing the first object. To parse multiple object without any delimiter just set it to the empty string `''`.
  emitPartialValues: <boolean>, // whether to emit values mid-parsing.
}

• paths: Array of paths to emit. Defaults to undefined which emits everything. The paths are intended to suppot jsonpath although at the time being it only supports the root object selector ($) and subproperties selectors including wildcards ($.a, $.*, $.a.b, , $.*.b, etc).
• keepStack: Whether to keep full objects on the stack even if they won't be emitted. Defaults to true. When set to false the it does preserve properties in the parent object some ancestor will be emitted. This means that the parent object passed to the onValue function will be empty, which doesn't reflect the truth, but it's more memory-efficient.

Properties & Methods

• write(token: TokenType, value: any) push data into the token parser.
• end() closes the token parser so it can not be used anymore. Throws an error if the tokenizer was in the middle of parsing.
• isEnded readonly boolean property indicating whether the token parser is ended or is still accepting data.
• onValue(value: any) no-op method that the user should override to get the parsed value.
• onError(err: Error) no-op method that the user should override to act on errors. If not set, the write method simply throws synchronously.
• onEnd() no-op method that the user should override to act when the token parser is ended.

// You can override the overridable methods by creating your own class extending Tokenizer
class MyTokenParser extends TokenParser {
  onValue(value: any) {
    // ...
  }
}

const myTokenParser = new MyTokenParser();

// or just overriding it
const tokenParser = new TokenParser();
tokenParser.onValue = (value) => { ... };

JSONParser

A drop-in replacement of JSONparse (with few ~~breaking changes~~ improvements. See below.).

import { JSONParser } from '@streamparser/json';

const parser = new JSONParser();

It takes the same options as the tokenizer.

This class is just for convenience. In reality, it simply connects the tokenizer and the parser:

const tokenizer = new Tokenizer(opts);
const tokenParser = new TokenParser();
tokenizer.onToken = tokenParser.write.bind(tokenParser);
tokenParser.onValue = (value) => { /* Process values */ }

Properties & Methods

• write(token: TokenType, value: any) alias to the Tokenizer write method.
• end() alias to the Tokenizer end method.
• isEnded readonly boolean property indicating whether the JSONParser is ended or is still accepting data.
• onToken(token: TokenType, value: any, offset: number) alias to the Tokenizer onToken method. (write only).
• onValue(value: any) alias to the Token Parser onValue method (write only).
• onError(err: Error) alias to the Tokenizer/Token Parser onError method (write only).
• onEnd() alias to the Tokenizer onEnd method (which will call the Token Parser onEnd methods) (write only).

// You can override the overridable methods by creating your own class extending Tokenizer
class MyJsonParser extends JSONParser {
  onToken(value: any) {
    // ...
  }
  onValue(value: any) {
    // ...
  }
}

const myJsonParser = new MyJsonParser();

// or just overriding it
const jsonParser = new JSONParser();
jsonParser.onToken = (token, value, offset) => { ... };
jsonParser.onValue = (value) => { ... };

Usage

You can use both components independently as

const tokenizer = new Tokenizer(opts);
const tokenParser = new TokenParser();
tokenizer.onToken = tokenParser.write.bind(tokenParser);

You push data using the write method which takes a string or an array-like object.

You can subscribe to the resulting data using the

import { JSONParser } from '@streamparser/json';

const parser = new JSONParser({ stringBufferSize: undefined, paths: ['$'] });
parser.onValue = console.log;

parser.write('"Hello world!"'); // logs "Hello world!"

// Or passing the stream in several chunks 
parser.write('"');
parser.write('Hello');
parser.write(' ');
parser.write('world!');
parser.write('"');// logs "Hello world!"

Write is always a synchronous operation so any error during the parsing of the stream will be thrown during the write operation. After an error, the parser can't continue parsing.

import { JSONParser } from '@streamparser/json';

const parser = new JSONParser({ stringBufferSize: undefined });
parser.onValue = console.log;

try {
  parser.write('"""');
} catch (err) {
  console.log(err); // logs 
}

You can also handle errors using callbacks:

import { JSONParser } from '@streamparser/json';

const parser = new JSONParser({ stringBufferSize: undefined });
parser.onValue = console.log;
parser.onError = console.error;

parser.write('"""');

Examples

Stream-parsing a fetch request returning a JSONstream

Imagine an endpoint that send a large amount of JSON objects one after the other ({"id":1}{"id":2}{"id":3}...).

  import { JSONParser} from '@streamparser/json';

  const parser = new JSONParser();
  parser.onValue = (value, key, parent, stack) => {
    if (stack > 0) return; // ignore inner values
    // TODO process element
  };

  const response = await fetch('http://example.com/');
  const reader = response.body.getReader();
  while(true) {
    const { done, value } = await reader.read();
    if (done) break;
    jsonparser.write(value);
  }

Stream-parsing a fetch request returning a JSON array

Imagine an endpoint that send a large amount of JSON objects one after the other ([{"id":1},{"id":2},{"id":3},...]).

  import { JSONParser } from '@streamparser/json';

  const jsonparser = new JSONParser({ stringBufferSize: undefined, paths: ['$.*'] });
  jsonparser.onValue = ({ value, key, parent, stack }) => {
    // TODO process element
  };

  const response = await fetch('http://example.com/');
  const reader = response.body.getReader();
  while(true) {
    const { done, value } = await reader.read();
    if (done) break;
    jsonparser.write(value);
  }

Stream-parsing a fetch request returning a very long string getting previews of the string

Imagine an endpoint that send a large amount of JSON objects one after the other ("Once upon a midnight <...>").

  import { JSONParser } from '@streamparser/json';

  const jsonparser = new JSONParser({ emitPartialTokens: true, emitPartialValues: true });
  jsonparser.onValue = ({ value, key, parent, stack, partial }) => {
    if (partial) {
      console.log(`Parsing value: ${value}... (still parsing)`);
    } else {
      console.log(`Value parsed: ${value}`);
    }
  };

  const response = await fetch('http://example.com/');
  const reader = response.body.getReader();
  while(true) {
    const { done, value } = await reader.read();
    if (done) break;
    jsonparser.write(value);
  }

Migration guide

Upgrading from 0.10 to 0.11

The arguments of callbacks have been objectified.

What used to be

jsonparser.onToken = ({ token, value }) => {
  // TODO process token
};
jsonparser.onValue = ({ value, key, parent, stack }) => {
  // TODO process element
};

now is:

jsonparser.onToken = (token, value) => {
  // TODO process token
};
jsonparser.onValue = (value, key, parent, stack) => {
  // TODO process element
};

License

See LICENSE.md.