Bun JSONL

JSONL

Parse newline-delimited JSON (JSONL) with Bun's built-in streaming parser

Bun has built-in support for parsing JSONL (newline-delimited JSON), where each line is a separate JSON value. The parser is implemented in C++ using JavaScriptCore's optimized JSON parser and supports streaming use cases.

const results = Bun.JSONL.parse('{"name":"Alice"}\n{"name":"Bob"}\n');
// [{ name: "Alice" }, { name: "Bob" }]

Bun.JSONL.parse()

Parse a complete JSONL input and return an array of all parsed values.

import { JSONL } from "bun";

const input = '{"id":1,"name":"Alice"}\n{"id":2,"name":"Bob"}\n{"id":3,"name":"Charlie"}\n';
const records = JSONL.parse(input);
console.log(records);
// [
//   { id: 1, name: "Alice" },
//   { id: 2, name: "Bob" },
//   { id: 3, name: "Charlie" }
// ]

Input can be a string or a Uint8Array:

const buffer = new TextEncoder().encode('{"a":1}\n{"b":2}\n');
const results = Bun.JSONL.parse(buffer);
// [{ a: 1 }, { b: 2 }]

When passed a Uint8Array, a UTF-8 BOM at the start of the buffer is automatically skipped.

Error handling

If the input contains invalid JSON, Bun.JSONL.parse() throws a SyntaxError:

try {
  Bun.JSONL.parse('{"valid":true}\n{invalid}\n');
} catch (error) {
  console.error(error); // SyntaxError: Failed to parse JSONL
}

Bun.JSONL.parseChunk()

For streaming scenarios, parseChunk parses as many complete values as possible from the input and reports how far it got. This is useful when receiving data incrementally (e.g., from a network stream) and you need to know where to resume parsing.

const chunk = '{"id":1}\n{"id":2}\n{"id":3';

const result = Bun.JSONL.parseChunk(chunk);
console.log(result.values); // [{ id: 1 }, { id: 2 }]
console.log(result.read); // 17 — characters consumed
console.log(result.done); // false — incomplete value remains
console.log(result.error); // null — no parse error

Return value

parseChunk returns an object with four properties:

Streaming example

Use read to slice off consumed input and carry forward the remainder:

let buffer = "";

async function processStream(stream: ReadableStream<string>) {
  for await (const chunk of stream) {
    buffer += chunk;
    const result = Bun.JSONL.parseChunk(buffer);

    for (const value of result.values) {
      handleRecord(value);
    }

    // Keep only the unconsumed portion
    buffer = buffer.slice(result.read);
  }

  // Handle any remaining data
  if (buffer.length > 0) {
    const final = Bun.JSONL.parseChunk(buffer);
    for (const value of final.values) {
      handleRecord(value);
    }
    if (final.error) {
      console.error("Parse error in final chunk:", final.error.message);
    }
  }
}

Byte offsets with Uint8Array

When the input is a Uint8Array, you can pass optional start and end byte offsets:

const buf = new TextEncoder().encode('{"a":1}\n{"b":2}\n{"c":3}\n');

// Parse starting from byte 8
const result = Bun.JSONL.parseChunk(buf, 8);
console.log(result.values); // [{ b: 2 }, { c: 3 }]
console.log(result.read); // 24

// Parse a specific range
const partial = Bun.JSONL.parseChunk(buf, 0, 8);
console.log(partial.values); // [{ a: 1 }]

The read value is always a byte offset into the original buffer, making it easy to use with TypedArray.subarray() for zero-copy streaming:

let buf = new Uint8Array(0);

async function processBinaryStream(stream: ReadableStream<Uint8Array>) {
  for await (const chunk of stream) {
    // Append chunk to buffer
    const newBuf = new Uint8Array(buf.length + chunk.length);
    newBuf.set(buf);
    newBuf.set(chunk, buf.length);
    buf = newBuf;

    const result = Bun.JSONL.parseChunk(buf);

    for (const value of result.values) {
      handleRecord(value);
    }

    // Keep unconsumed bytes
    buf = buf.slice(result.read);
  }
}

Error recovery

Unlike parse(), parseChunk() does not throw on invalid JSON. Instead, it returns the error in the error property, along with any values that were successfully parsed before the error:

const input = '{"a":1}\n{invalid}\n{"b":2}\n';
const result = Bun.JSONL.parseChunk(input);

console.log(result.values); // [{ a: 1 }] — values parsed before the error
console.log(result.error); // SyntaxError
console.log(result.read); // 7 — position up to last successful parse

Supported value types

Each line can be any valid JSON value, not just objects:

const input = '42\n"hello"\ntrue\nnull\n[1,2,3]\n{"key":"value"}\n';
const values = Bun.JSONL.parse(input);
// [42, "hello", true, null, [1, 2, 3], { key: "value" }]

Performance notes

• ASCII fast path: Pure ASCII input is parsed directly without copying, using a zero-allocation StringView.
• UTF-8 support: Non-ASCII Uint8Array input is decoded to UTF-16 using SIMD-accelerated conversion.
• BOM handling: UTF-8 BOM (0xEF 0xBB 0xBF) at the start of a Uint8Array is automatically skipped.
• Pre-built object shape: The result object from parseChunk uses a cached structure for fast property access.