import OError from '@overleaf/o-error' const PDF_JS_CHUNK_SIZE = 128 * 1024 const MAX_SUB_REQUEST_COUNT = 4 const MAX_SUB_REQUEST_BYTES = 4 * PDF_JS_CHUNK_SIZE const SAMPLE_NGINX_BOUNDARY = '00000000000000000001' const HEADER_OVERHEAD_PER_MULTI_PART_CHUNK = composeMultipartHeader({ boundary: SAMPLE_NGINX_BOUNDARY, // Assume an upper bound of O(9GB) for the pdf size. start: 9 * 1024 * 1024 * 1024, end: 9 * 1024 * 1024 * 1024, size: 9 * 1024 * 1024 * 1024, }).length const MULTI_PART_THRESHOLD = 4 const INCREMENTAL_CACHE_SIZE = 1000 // Download large chunks once the shard bandwidth exceeds 50% of their size. const CHUNK_USAGE_THRESHOLD_PREFETCH_LARGE = 0.5 // Preferred caching once we downloaded a chunk (in multiple shards) in full. const CHUNK_USAGE_THRESHOLD_TRIGGER_PREFERRED = 1 const CHUNK_USAGE_THRESHOLD_CACHED = 42 // 42 * 0.7^11 < 1, aka we keep stale entries around for 11 compiles. const CHUNK_USAGE_STALE_DECAY_RATE = 0.7 /** * @param {Object} file */ function backfillEdgeBounds(file) { const encoder = new TextEncoder() for (const chunk of file.ranges) { if (chunk.objectId) { chunk.objectId = encoder.encode(chunk.objectId) chunk.start -= chunk.objectId.byteLength chunk.size = chunk.end - chunk.start } } } /** * @param {Map} usageScore * @param {Map} cachedUrls */ function trimState({ usageScore, cachedUrls }) { for (const hash of usageScore) { if (usageScore.size < INCREMENTAL_CACHE_SIZE) { break } const score = usageScore.get(hash) if (score >= CHUNK_USAGE_THRESHOLD_TRIGGER_PREFERRED) { // Keep entries that are worth caching around for longer. usageScore.set(hash, score * CHUNK_USAGE_STALE_DECAY_RATE) continue } cachedUrls.delete(hash) usageScore.delete(hash) } } /** * @param {Object} file * @param {Map} usageScore * @param {Map} cachedUrls */ function preprocessFileOnce({ file, usageScore, cachedUrls }) { if (file.preprocessed) return file.preprocessed = true file.createdAt = new Date(file.createdAt) file.prefetched = file.prefetched || [] trimState({ usageScore, cachedUrls }) backfillEdgeBounds(file) } /** * @param {Array} chunks */ function estimateSizeOfMultipartResponse(chunks) { /* --boundary HEADER BLOB --boundary HEADER BLOB --boundary-- */ return ( chunks.reduce( (totalBytes, chunk) => totalBytes + HEADER_OVERHEAD_PER_MULTI_PART_CHUNK + (chunk.end - chunk.start), 0 ) + ('\r\n' + SAMPLE_NGINX_BOUNDARY + '--').length ) } /** * * @param {Object} metrics * @param {number} size * @param {number} cachedCount * @param {number} cachedBytes * @param {number} fetchedCount * @param {number} fetchedBytes */ function trackDownloadStats( metrics, { size, cachedCount, cachedBytes, fetchedCount, fetchedBytes } ) { metrics.cachedCount += cachedCount metrics.cachedBytes += cachedBytes metrics.fetchedCount += fetchedCount metrics.fetchedBytes += fetchedBytes metrics.requestedCount++ metrics.requestedBytes += size } /** * @param {Object} metrics * @param {boolean} sizeDiffers * @param {boolean} mismatch * @param {boolean} success */ function trackChunkVerify(metrics, { sizeDiffers, mismatch, success }) { if (sizeDiffers) { metrics.chunkVerifySizeDiffers |= 0 metrics.chunkVerifySizeDiffers += 1 } if (mismatch) { metrics.chunkVerifyMismatch |= 0 metrics.chunkVerifyMismatch += 1 } if (success) { metrics.chunkVerifySuccess |= 0 metrics.chunkVerifySuccess += 1 } } /** * @param chunk * @param {ArrayBuffer} arrayBuffer * @return {Uint8Array} */ function backFillObjectContext(chunk, arrayBuffer) { if (!chunk.objectId) { // This is a dynamic chunk return new Uint8Array(arrayBuffer) } const { size, objectId } = chunk const fullBuffer = new Uint8Array(size) const sourceBuffer = new Uint8Array(arrayBuffer) try { fullBuffer.set(objectId, 0) fullBuffer.set(sourceBuffer, objectId.byteLength) } catch (err) { throw OError.tag(err, 'broken back-filling of object-id', { objectIdByteLength: objectId.byteLength, fullBufferByteLength: fullBuffer.byteLength, arrayBufferByteLength: arrayBuffer.byteLength, sourceBufferByteLength: sourceBuffer.byteLength, }) } return fullBuffer } /** * @param {Array} chunks * @param {number} start * @param {number} end * @returns {Array} */ function getMatchingChunks(chunks, start, end) { const matchingChunks = [] for (const chunk of chunks) { if (chunk.end <= start) { // no overlap: // | REQUESTED_RANGE | // | CHUNK | continue } if (chunk.start >= end) { // no overlap: // | REQUESTED_RANGE | // | CHUNK | break } matchingChunks.push(chunk) } return matchingChunks } /** * @param {Object} a * @param {Object} b */ function sortBySizeDESC(a, b) { return a.size > b.size ? -1 : 1 } /** * @param {Object} a * @param {Object} b */ function sortByStartASC(a, b) { return a.start > b.start ? 1 : -1 } /** * @param {Object} chunk */ function usageAboveThreshold(chunk) { // We fetched enough shards of this chunk. Cache it in full now. return chunk.totalUsage > CHUNK_USAGE_THRESHOLD_TRIGGER_PREFERRED } /** * @param {Array} potentialChunks * @param {Map} usageScore * @param {Map} cachedUrls * @param {Object} metrics * @param {number} start * @param {number} end * @param {boolean} prefetchLargeEnabled */ function cutRequestAmplification({ potentialChunks, usageScore, cachedUrls, metrics, start, end, prefetchLargeEnabled, }) { // NOTE: Map keys are stored in insertion order. // We re-insert keys on cache hit and turn 'usageScore' into a cheap LRU. const chunks = [] const skipAlreadyAdded = chunk => !chunks.includes(chunk) let tooManyRequests = false let tooMuchBandwidth = false let newChunks = 0 let newCacheBandwidth = 0 for (const chunk of potentialChunks) { const newUsage = (Math.min(end, chunk.end) - Math.max(start, chunk.start)) / chunk.size const totalUsage = (usageScore.get(chunk.hash) || 0) + newUsage usageScore.delete(chunk.hash) usageScore.set(chunk.hash, totalUsage) chunk.totalUsage = totalUsage } // Always download already cached entries for (const chunk of potentialChunks) { if (chunk.totalUsage >= CHUNK_USAGE_THRESHOLD_CACHED) { chunks.push(chunk) } } // Prefer large blobs over small ones. potentialChunks.sort(sortBySizeDESC) // Prefer chunks with high (previous) usage over brand-new chunks. const firstComeFirstCache = () => true for (const trigger of [usageAboveThreshold, firstComeFirstCache]) { for (const chunk of potentialChunks.filter(skipAlreadyAdded)) { if (newCacheBandwidth + chunk.size > MAX_SUB_REQUEST_BYTES) { // We would breach the bandwidth amplification limit. tooMuchBandwidth = true continue } if (newChunks + 1 > MAX_SUB_REQUEST_COUNT) { // We would breach the request rate amplification limit. tooManyRequests = true continue } if (trigger(chunk)) { newCacheBandwidth += chunk.size newChunks += 1 chunks.push(chunk) } } } const largeChunk = potentialChunks.filter(skipAlreadyAdded)[0] if (largeChunk?.size >= PDF_JS_CHUNK_SIZE) { // This is a large chunk that exceeds the bandwidth amplification limit. if (largeChunk.start <= start && largeChunk.end >= end) { // This is a large chunk spanning the entire range. pdf.js will only // request these in case it needs the underlying stream, so it is OK to // download as much data as the stream is large in one go. chunks.push(largeChunk) } else if ( prefetchLargeEnabled && largeChunk.totalUsage > CHUNK_USAGE_THRESHOLD_PREFETCH_LARGE ) { // pdf.js actually wants the smaller (dynamic) chunk in the range that // happens to sit right next to this large chunk. // pdf.js has requested a lot of the large chunk via shards by now, and it // is time to download it in full to stop "wasting" more bandwidth and // more importantly cut down latency as we can prefetch the small chunk. chunks.push(largeChunk) } } if (tooManyRequests) { metrics.tooManyRequestsCount++ } if (tooMuchBandwidth) { metrics.tooMuchBandwidthCount++ } chunks.sort(sortByStartASC) return chunks } /** * @param {Array} chunks * @param {number} start * @param {number} end * @returns {Array} */ function getInterleavingDynamicChunks(chunks, start, end) { const dynamicChunks = [] for (const chunk of chunks) { if (start < chunk.start) { dynamicChunks.push({ start, end: chunk.start }) } start = chunk.end } if (start < end) { dynamicChunks.push({ start, end }) } return dynamicChunks } /** * * @param {Response} response */ function getServerTime(response) { const raw = response.headers.get('Date') if (!raw) return new Date() return new Date(raw) } /** * * @param {Response} response */ function getResponseSize(response) { const raw = response.headers.get('Content-Length') if (!raw) return 0 return parseInt(raw, 10) } /** * * @param {Response} response * @param chunk */ function getMultipartBoundary(response, chunk) { if (!Array.isArray(chunk)) return '' const raw = response.headers.get('Content-Type') if (raw.includes('multipart/byteranges')) { const idx = raw.indexOf('boundary=') if (idx !== -1) return raw.slice(idx + 'boundary='.length) } throw new OError('missing boundary on multipart request', { headers: Object.fromEntries(response.headers.entries()), chunk, }) } /** * @param {string} boundary * @param {number} start * @param {number} end * @param {number} size * @return {string} */ function composeMultipartHeader({ boundary, start, end, size }) { return `\r\n--${boundary}\r\nContent-Type: application/pdf\r\nContent-Range: bytes ${start}-${ end - 1 }/${size}\r\n\r\n` } /** * @param {Object} file * @param {Array} chunks * @param {Uint8Array} data * @param {string} boundary * @param {Object} metrics */ function resolveMultiPartResponses({ file, chunks, data, boundary, metrics }) { const responses = [] let offsetStart = 0 const encoder = new TextEncoder() for (const chunk of chunks) { const header = composeMultipartHeader({ boundary, start: chunk.start, end: chunk.end, size: file.size, }) const headerSize = header.length // Verify header content. A proxy might have tampered with it. const headerRaw = encoder.encode(header) if ( !data .subarray(offsetStart, offsetStart + headerSize) .every((v, idx) => v === headerRaw[idx]) ) { metrics.headerVerifyFailure |= 0 metrics.headerVerifyFailure++ throw new OError('multipart response header does not match', { actual: new TextDecoder().decode( data.subarray(offsetStart, offsetStart + headerSize) ), expected: header, }) } offsetStart += headerSize const chunkSize = chunk.end - chunk.start responses.push({ chunk, data: data.subarray(offsetStart, offsetStart + chunkSize), }) offsetStart += chunkSize } return responses } /** * * @param {Response} response * @param {number} estimatedSize * @param {RequestInit} init */ function checkChunkResponse(response, estimatedSize, init) { if (!(response.status === 206 || response.status === 200)) { throw new OError('non successful response status: ' + response.status, { responseHeaders: Object.fromEntries(response.headers.entries()), requestHeader: init.headers, }) } const responseSize = getResponseSize(response) if (!responseSize) { throw new OError('content-length response header missing', { responseHeaders: Object.fromEntries(response.headers.entries()), requestHeader: init.headers, }) } if (responseSize > estimatedSize) { throw new OError('response size exceeds estimate', { estimatedSize, responseSize, responseHeaders: Object.fromEntries(response.headers.entries()), requestHeader: init.headers, }) } } /** * * @param {string} url * @param {number} start * @param {number} end * @param {AbortSignal} abortSignal */ export async function fallbackRequest({ url, start, end, abortSignal }) { try { const init = { cache: 'no-store', headers: { Range: `bytes=${start}-${end - 1}` }, signal: abortSignal, } const response = await fetch(url, init) checkChunkResponse(response, end - start, init) return await response.arrayBuffer() } catch (e) { throw OError.tag(e, 'fallback request failed', { url, start, end }) } } /** * * @param {string} url * @param {number} start * @param {number} end * @param {Object} metrics * @param {Uint8Array} actual * @param {AbortSignal} abortSignal */ async function verifyRange({ url, start, end, metrics, actual, abortSignal }) { let expectedRaw try { expectedRaw = await fallbackRequest({ url, start, end, abortSignal }) } catch (error) { throw OError.tag(error, 'cannot verify range', { url, start, end }) } const expected = new Uint8Array(expectedRaw) const stats = {} if (actual.byteLength !== expected.byteLength) { stats.sizeDiffers = true } else if (!expected.every((v, idx) => v === actual[idx])) { stats.mismatch = true } else { stats.success = true } trackChunkVerify(metrics, stats) return expected } /** * @param {Array} chunks * @param {Array} prefetched * @param {number} start * @param {number} end */ function skipPrefetched(chunks, prefetched, start, end) { return chunks.filter(chunk => { return !prefetched.find( c => c.start <= Math.max(chunk.start, start) && c.end >= Math.min(chunk.end, end) ) }) } /** * @param {Object|Object[]} chunk * @param {string} url * @param {RequestInit} init * @param {Map} cachedUrls * @param {Object} metrics * @param {boolean} cachedUrlLookupEnabled */ async function fetchChunk({ chunk, url, init, cachedUrls, metrics, cachedUrlLookupEnabled, }) { const estimatedSize = Array.isArray(chunk) ? estimateSizeOfMultipartResponse(chunk) : chunk.end - chunk.start const oldUrl = cachedUrls.get(chunk.hash) if (cachedUrlLookupEnabled && chunk.hash && oldUrl && oldUrl !== url) { // When the clsi server id changes, the content id changes too and as a // result all the browser cache keys (aka urls) get invalidated. // We memorize the previous browser cache keys in `cachedUrls`. try { const response = await fetch(oldUrl, init) if (response.status === 200) { checkChunkResponse(response, estimatedSize, init) metrics.oldUrlHitCount += 1 return response } if (response.status === 404) { // The old browser cache entry is gone and the old file is gone too. metrics.oldUrlMissCount += 1 } // Fallback to the latest url. } catch (e) { // Fallback to the latest url. } } const response = await fetch(url, init) checkChunkResponse(response, estimatedSize, init) if (chunk.hash) cachedUrls.set(chunk.hash, url) return response } /** * @param {Object} file * @param {number} start * @param {number} end * @param {Array} dynamicChunks * @param {boolean} prefetchXRefTable * @param {number} startXRefTableRange */ function addPrefetchingChunks({ file, start, end, dynamicChunks, prefetchXRefTable, startXRefTableRange, }) { // Prefetch in case this is the first range, or we are fetching dynamic // chunks anyway (so we can ride-share the round trip). // Rendering cannot start without downloading the xref table, so it's OK to // "delay" the first range. if (!(start === 0 || dynamicChunks.length > 0)) { return } let extraChunks = [] if (prefetchXRefTable) { // Prefetch the dynamic chunks around the xref table. extraChunks = skipPrefetched( getInterleavingDynamicChunks( getMatchingChunks(file.ranges, startXRefTableRange, file.size), startXRefTableRange, file.size ), file.prefetched, startXRefTableRange, file.size ) } // Stop at the xref table range if present -- we may prefetch it early ^^^. const prefetchEnd = startXRefTableRange || file.size extraChunks = extraChunks.concat( skipPrefetched( getInterleavingDynamicChunks( getMatchingChunks(file.ranges, end, prefetchEnd), end, prefetchEnd ), file.prefetched, end, prefetchEnd ) ) let sum = estimateSizeOfMultipartResponse(dynamicChunks) for (const chunk of extraChunks) { const downloadSize = chunk.end - chunk.start + HEADER_OVERHEAD_PER_MULTI_PART_CHUNK if (sum + downloadSize > PDF_JS_CHUNK_SIZE) { // In prefetching this chunk we would exceed the bandwidth limit. // Try to prefetch another (smaller) chunk. continue } const sibling = dynamicChunks.find( sibling => sibling.end === chunk.start || sibling.start === chunk.end ) if (sibling) { sum += downloadSize // Just expand the existing dynamic chunk. sibling.start = Math.min(sibling.start, chunk.start) sibling.end = Math.max(sibling.end, chunk.end) continue } if (dynamicChunks.length > MULTI_PART_THRESHOLD) { // We are already performing a multipart request. Add another part. } else if (dynamicChunks.length < MULTI_PART_THRESHOLD) { // We are not yet performing a multipart request. Add another request. } else { // In prefetching this chunk we would switch to a multipart request. // Try to prefetch another (smaller) chunk. continue } sum += downloadSize dynamicChunks.push(chunk) } dynamicChunks.sort(sortByStartASC) // Ensure that no chunks are overlapping. let lastEnd = 0 for (const [idx, chunk] of dynamicChunks.entries()) { if (chunk.start < lastEnd) { throw new OError('detected overlapping dynamic chunks', { chunk, lastChunk: dynamicChunks[idx - 1], }) } lastEnd = chunk.end } } class Timer { constructor() { this.max = 0 this.total = 0 this.lastStart = 0 } startBlockingCompute() { this.lastStart = performance.now() } finishBlockingCompute() { if (this.lastStart === 0) return const last = performance.now() - this.lastStart if (last > this.max) { this.max = last } this.total += last this.lastStart = 0 } reportInto(metrics) { const max = Math.ceil(this.max) const total = Math.ceil(this.total) if (max > metrics.latencyComputeMax) { metrics.latencyComputeMax = max } metrics.latencyComputeTotal += total } } /** * * @param {string} url * @param {number} start * @param {number} end * @param {Object} file * @param {Object} metrics * @param {Map} usageScore * @param {Map} cachedUrls * @param {boolean} verifyChunks * @param {boolean} prefetchingEnabled * @param {boolean} prefetchLargeEnabled * @param {boolean} tryOldCachedUrlEnabled * @param {AbortSignal} abortSignal */ export async function fetchRange({ url, start, end, file, metrics, usageScore, cachedUrls, verifyChunks, prefetchingEnabled, prefetchLargeEnabled, cachedUrlLookupEnabled, abortSignal, }) { const timer = new Timer() timer.startBlockingCompute() preprocessFileOnce({ file, usageScore, cachedUrls }) const startXRefTableRange = Math.floor(file.startXRefTable / PDF_JS_CHUNK_SIZE) * PDF_JS_CHUNK_SIZE const prefetchXRefTable = prefetchingEnabled && startXRefTableRange > 0 && start === 0 const prefetched = getMatchingChunks(file.prefetched, start, end) // Check that handling the range request won't trigger excessive sub-requests, // (to avoid unwanted latency compared to the original request). const chunks = cutRequestAmplification({ potentialChunks: skipPrefetched( getMatchingChunks(file.ranges, start, end), prefetched, start, end ), usageScore, cachedUrls, metrics, start, end, prefetchLargeEnabled, }) const dynamicChunks = skipPrefetched( getInterleavingDynamicChunks(chunks, start, end), prefetched, start, end ) const size = end - start if ( chunks.length === 0 && prefetched.length === 0 && dynamicChunks.length === 1 && !prefetchXRefTable ) { // fall back to the original range request when no chunks are cached. // Exception: The first range should fetch the xref table as well. timer.finishBlockingCompute() timer.reportInto(metrics) trackDownloadStats(metrics, { size, cachedCount: 0, cachedBytes: 0, fetchedCount: 1, fetchedBytes: size, }) return fallbackRequest({ url, start, end, abortSignal }) } if (prefetchingEnabled) { addPrefetchingChunks({ file, start, end, dynamicChunks, prefetchXRefTable, startXRefTableRange, }) } const byteRanges = dynamicChunks .map(chunk => `${chunk.start}-${chunk.end - 1}`) .join(',') const coalescedDynamicChunks = [] switch (true) { case dynamicChunks.length === 0: break case dynamicChunks.length === 1: coalescedDynamicChunks.push({ chunk: dynamicChunks[0], url, init: { cache: 'no-store', headers: { Range: `bytes=${byteRanges}` }, }, }) break case dynamicChunks.length <= MULTI_PART_THRESHOLD: // There will always be an OPTIONS request for multi-ranges requests. // It is faster to request few ranges in parallel instead of waiting for // the OPTIONS request to round trip. dynamicChunks.forEach(chunk => { coalescedDynamicChunks.push({ chunk, url, init: { cache: 'no-store', headers: { Range: `bytes=${chunk.start}-${chunk.end - 1}` }, }, }) }) break default: coalescedDynamicChunks.push({ chunk: dynamicChunks, url, init: { cache: 'no-store', headers: { Range: `bytes=${byteRanges}` }, }, }) } const params = new URL(url).searchParams // drop no needed params params.delete('enable_pdf_caching') params.delete('verify_chunks') const query = params.toString() // The schema of `url` is https://domain/project/:id/user/:id/build/... for // authenticated and https://domain/project/:id/build/... for // unauthenticated users. Cut it before /build/. // The path may have an optional /zone/b prefix too. const perUserPrefix = url.slice(0, url.indexOf('/build/')) const requests = chunks .map(chunk => ({ chunk, url: `${perUserPrefix}/content/${file.contentId}/${chunk.hash}?${query}`, init: {}, })) .concat(coalescedDynamicChunks) let cachedCount = 0 let cachedBytes = 0 let fetchedCount = 0 let fetchedBytes = 0 const reassembledBlob = new Uint8Array(size) // Pause while performing network IO timer.finishBlockingCompute() const rawResponses = await Promise.all( requests.map(async ({ chunk, url, init }) => { try { const response = await fetchChunk({ chunk, url, init: { ...init, signal: abortSignal }, cachedUrls, metrics, cachedUrlLookupEnabled, }) timer.startBlockingCompute() const boundary = getMultipartBoundary(response, chunk) const blobFetchDate = getServerTime(response) const blobSize = getResponseSize(response) if (blobFetchDate && blobSize) { // Example: 2MB PDF, 1MB image, 128KB PDF.js chunk. // | pdf.js chunk | // | A BIG IMAGE BLOB | // | THE FULL PDF | if (chunk.hash && blobFetchDate < file.createdAt) { const usedChunkSection = Math.min(end, chunk.end) - Math.max(start, chunk.start) cachedCount++ cachedBytes += usedChunkSection // Roll the position of the hash in the Map. usageScore.delete(chunk.hash) usageScore.set(chunk.hash, CHUNK_USAGE_THRESHOLD_CACHED) } else { // Blobs are fetched in bulk, record the full size. fetchedCount++ fetchedBytes += blobSize } } timer.finishBlockingCompute() const buf = await response.arrayBuffer() timer.startBlockingCompute() const data = backFillObjectContext(chunk, buf) if (!Array.isArray(chunk)) { return [{ chunk, data }] } return resolveMultiPartResponses({ file, chunks: chunk, data, boundary, metrics, }) } catch (err) { throw OError.tag(err, 'cannot fetch chunk', { chunk, url, init }) } finally { timer.finishBlockingCompute() } }) ) timer.startBlockingCompute() rawResponses .flat() // flatten after splitting multipart responses .concat(prefetched.map(chunk => ({ chunk, data: chunk.buffer }))) .forEach(({ chunk, data }) => { if (!chunk.hash && chunk.end > end) { // This is a (partially) prefetched chunk. chunk.buffer = data file.prefetched.push(chunk) if (chunk.start > end) return // This is a fully prefetched chunk. } // overlap: // | REQUESTED_RANGE | // | CHUNK | const offsetStart = Math.max(start - chunk.start, 0) // overlap: // | REQUESTED_RANGE | // | CHUNK | const offsetEnd = Math.max(chunk.end - end, 0) const oldDataLength = data.length if (offsetStart > 0 || offsetEnd > 0) { // compute index positions for slice to handle case where offsetEnd=0 const chunkSize = chunk.end - chunk.start data = data.subarray(offsetStart, chunkSize - offsetEnd) } const newDataLength = data.length const insertPosition = Math.max(chunk.start - start, 0) try { reassembledBlob.set(data, insertPosition) } catch (err) { const reassembledBlobLength = reassembledBlob.length const trimmedChunk = { start: chunk.start, end: chunk.end, hash: chunk.hash, objectId: new TextDecoder().decode(chunk.objectId), } throw OError.tag(err, 'broken reassembly', { start, end, chunk: trimmedChunk, oldDataLength, newDataLength, offsetStart, offsetEnd, insertPosition, reassembledBlobLength, }) } }) timer.finishBlockingCompute() timer.reportInto(metrics) trackDownloadStats(metrics, { size, cachedCount, cachedBytes, fetchedCount, fetchedBytes, }) if (verifyChunks) { return await verifyRange({ url, start, end, metrics, actual: reassembledBlob, abortSignal, }) } return reassembledBlob }