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Add batch processing to parseJSONL #23

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Add batch processing to parseJSONL #23

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77 changes: 54 additions & 23 deletions src/loaders/LocalJSONL.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -8,34 +8,65 @@ import {
setGraferLoaderDomain,
} from './GraferLoader';

function macrotaskQueue(task, initialState, resolver?): Promise<void> {
return new Promise((resolve) => {
const result = task(initialState, !Boolean(resolver));
if(result !== false) {
window.requestAnimationFrame(() => macrotaskQueue(task, result, resolver ?? resolve));
}
else {
if(resolver) {
resolver();
}
else {
resolve();
}
}
});
}

function processJSONL(state, firstRun): any {
const startTime = Date.now();
const MAX_RUNTIME = 20; // ms
const ITER_PER_CHECK = 10000;

for (firstRun && (state.i = 0); state.i < state.chunk.byteLength; ++state.i) {
if(state.i % ITER_PER_CHECK === 0 && Date.now() - startTime > MAX_RUNTIME) {
return state;
}
if (state.view.getUint8(state.i) === state.lineBreak || state.offset + state.i === state.byteLength) {
const statementBuffer = new Uint8Array(state.chunk, state.start, state.i - state.start);
state.start = state.i + 1;

const str = state.decoder.decode(statementBuffer);
const json = JSON.parse(str);

state.cb(json);
}
}
return false;
}

async function parseJSONL(input, cb): Promise<void> {
const file = await DataFile.fromLocalSource(input);
const state: any = {};
state.cb = cb;

// load 16MB chunks
const sizeOf16MB = 16 * 1024 * 1024;
const byteLength = file.byteLength;
const decoder = new TextDecoder();
const lineBreak = '\n'.charCodeAt(0);

for(let offset = 0; offset <= byteLength; offset += sizeOf16MB) {
const chunkEnd = Math.min(offset + sizeOf16MB, byteLength);
const chunk = await file.loadData(offset, chunkEnd);
const view = new DataView(chunk);
let start = 0;
for (let i = 0, n = chunk.byteLength; i < n; ++i) {
if (view.getUint8(i) === lineBreak || offset + i === byteLength) {
const statementBuffer = new Uint8Array(chunk, start, i - start);
start = i + 1;

const str = decoder.decode(statementBuffer);
const json = JSON.parse(str);

cb(json);
}
}

if (start < chunk.byteLength) {
offset -= chunk.byteLength - start;
state.byteLength = file.byteLength;
state.decoder = new TextDecoder();
state.lineBreak = '\n'.charCodeAt(0);

for(state.offset = 0; state.offset <= state.byteLength; state.offset += sizeOf16MB) {
const chunkEnd = Math.min(state.offset + sizeOf16MB, state.byteLength);
state.chunk = await file.loadData(state.offset, chunkEnd);
state.view = new DataView(state.chunk);
state.start = 0;
await macrotaskQueue(processJSONL, state);

if (state.start < state.chunk.byteLength) {
state.offset -= state.chunk.byteLength - state.start;
}

// console.log(`${chunkEnd} / ${byteLength} - ${((chunkEnd/byteLength) * 100).toFixed(2)}%`);
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