Streaming JSON parser in Javascript for Node.js, Deno and the browser
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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;
``javascript
import { JSONParser } from '@streamparser/json-node';
const parser = new JSONParser();
inputStream.pipe(jsonparser).pipe(destinationStream);
// Or using events to get the values
parser.on("data", (value) => { / ... / });
parser.on("error", err => { / ... / });
parser.on("end", () => { / ... / });
`
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.@streamparser/json
* The @streamparser/json-node wraps into a node Transform stream.
A JSON compliant tokenizer that parses a utf-8 stream into JSON tokens that are emitted as objects.
`javascript
import { Tokenizer } from '@streamparser/json-node';
const tokenizer = new Tokenizer(opts, transformOpts);
`
Transform options take the standard node Transform stream settings (see Node docs).
The available options are:
`javascript\n
{
stringBufferSize:
numberBufferSize:
separator: for nd-js.`
emitPartialTokens:
}
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.
A token parser that processes JSON tokens as emitted by the Tokenizer and emits JSON values/objects.
`javascript
import { TokenParser} from '@streamparser/json-node';
const tokenParser = new TokenParser(opts, writableStrategy, readableStrategy);
`
Transform options take the standard node Transform stream settings (see Node docs).
The available options are:
`javascript\n
{
paths:
keepStack:
separator: 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:
}
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, , $.*.b, etc). true
* keepStack: Whether to keep full objects on the stack even if they won't be emitted. Defaults to . When set to false the it does preserve properties in the parent object some ancestor will be emitted. This means that the parent object passed to the onValue function will be empty, which doesn't reflect the truth, but it's more memory-efficient.
The full blown JSON parser. It basically chains a Tokenizer and a TokenParser.
`javascript
import { JSONParser } from '@streamparser/json-node';
const parser = new JSONParser();
`
You can use both components independently as
`javascript`
const tokenizer = new Tokenizer(opts);
const tokenParser = new TokenParser();
const jsonParser = tokenizer.pipeTrough(tokenParser);
You can subscribe to the resulting data using the
`javascript
import { JSONParser } from '@streamparser/json-node';
const parser = new JSONParser({ stringBufferSize: undefined, paths: ['$'] });
inputStream.pipe(jsonparser).pipe(destinationStream);
// Or using events to get the values
parser.on("data", (value) => { / ... / });
parser.on("error", err => { / ... / });
parser.on("end", () => { / ... / });
`
Imagine an endpoint that send a large amount of JSON objects one after the other ({"id":1}{"id":2}{"id":3}...).
`js
import { JSONParser} from '@streamparser/json-node';
const parser = new JSONParser();
const response = await fetch('http://example.com/');
const reader = response.body.pipe(parser);
reader.on('data', value => / process element /);
`
Imagine an endpoint that send a large amount of JSON objects one after the other ([{"id":1},{"id":2},{"id":3},...]).
`js
import { JSONParser } from '@streamparser/json-node';
const parser = new JSONParser({ stringBufferSize: undefined, paths: ['$.*'], keepStack: false });
const response = await fetch('http://example.com/');
const reader = response.body.pipe(parse).getReader();
reader.on('data', ({ value, key, parent, stack }) => / process element /)
`
Imagine an endpoint that send a large amount of JSON objects one after the other ("Once upon a midnight <...>").
`js
import { JSONParser } from '@streamparser/json-node';
const parser = new JSONParser({ stringBufferSize: undefined, paths: ['$.*'], keepStack: false });
const response = await fetch('http://example.com/');
const reader = response.body.pipe(parse).getReader();
reader.on('data', ({ value, key, parent, stack, partial }) => {
if (partial) {
console.log(Parsing value: ${value}... (still parsing));Value parsed: ${value}
} else {
console.log();``
}
});
See LICENSE.md.
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[build-status-url]: https://github.com/juanjoDiaz/streamparser-json/actions/workflows/on-push.yaml
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