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Graph/large-payload-upload-resource-pressure

AntiPattern

Large File Upload Pressure

large-payload-upload-resource-pressure

Browser-to-S3 uploads fail or hang because large payload handling (base64 in memory, long-lived file streams, and progress callbacks throwing) overwhelms client resources or control flow, leading to aborted downloads/uploads and unhelpful object key/path results.

Node Details

Public graph metadata

Updated7/17/2026

Connections

30 linked nodes

MATCHESSolution

the issue was that I was passing in the Data URI as well with the encoding of the file. Outcome: make sure that the string of the file that you're sending doesn't contain this value: `data:@file/png;base64,`.

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Create a POST request to generate a signedUrl on the server — Send that URL to the client and POST the upload form with image to the S3 bucket. Tension: bypassing the server. Outcome: With that url you can POST directly to S3.

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Store uploads in the serverless writable temp directory (os.tmpdir()) during the request and then persist the files externally (e.g., upload to object storage like S3) or stream them directly; update the Multer storage destination to use os.tmpdir() and avoid serving from a project-local uploads folder.

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bypassing Spark's native S3 file reading and using Boto3 to read files in parallel — This reduced my processing time from 4 hours to 20 minutes. Tension: Spark's native S3 file reading.

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JavaScript can access the `size` from the File object — using a UI for the upload. Tension: I really would not like to get the file in any endpoint of my application. Outcome: Use this value to populate the `content-length` header value.

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As of 5/8/2025, the only known workaround is to download the file and upload it using LocalBlob. Tension: the only known workaround. Outcome: download the file and upload it using LocalBlob.

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An error occurred (MissingContentLength) when calling the PutObject operation: You must provide the Content-Length HTTP header. — aws s3 sync . s3://. Tension: Unknown options: --content-length,1093865263. Outcome: Try downgrade aws cli version.

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Adding http-auth-2.30.4.jar to the classpath — Exception while uploading a file to AWS S3. Outcome: resolves this issue and the Exception no longer occurs.

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aws s3 cp s3://bucket-name/large-file - | parallel -j2 --pipe --tee {} — I need to calculate the SHA256 and SHA512 hashes of a very large file held in AWS S3. Tension: I need the processing to block until both computations have completed. Outcome: parallel -j2 --pipe --tee {} \ ::: "sha256sum >/tmp/sha256.txt" "sha512sum >/tmp/sha512.txt".

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adding a class that extends `OutputStream` and creates a multi-part upload when the buffer reaches the set limit — AWS minimum is 5MB. Tension: end size of the zip can be tens of GB. Outcome: I set it to 10MB.

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update to AWS SDK for Java V2 ASAP — when using V2 to upload larger files. Tension: The Amazon S3 Transfer Manager API can certainly handle larger files. Outcome: use software.amazon.awssdk.transfer.s3.S3TransferManager API.

MATCHESSolution

I needed to use the MultipartCopy class found in the S3 SDK. Tension: Over 4.5 GB - Use MultipartCopy. Outcome: This is now working...

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Consider using some kind of rate limiter — When downloading locally, it takes effort to generate those 5000 reads. Tension: You are limited to 5000 reads/second down a single s3 partitions. Outcome: to hold back the reads below the threshold.

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Change the S3 event configuration to use a broader object creation event such as “All Object Create Events” (e.g., s3:ObjectCreated:*) so the Lambda triggers for typical PutObject-based uploads.

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you'll need to implement pagination in your API calls — To overcome the issue of 999+ objects limit. Outcome: Create lambda function, which get triggered upon `s3:fileUpload`.

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Create lambda function, which get triggered upon `s3:fileUpload`. — Further you can write status to db and check using query whenever required. Outcome: Further you can write status to db.

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Temporarily tweak the replication settings of your S3 bucket — Upload a test file to the source bucket in the active region. Tension: Since we intentionally modified the replication configuration, this action is expected to lead to a replication failure. Outcome: After completing the testing phase, restore the replication configuration to its original state to return to normal replication behavior.

MATCHESSolution

Downgrading to @aws-sdk/client-s3@3.317.0 fixed the issue for me — AWS SDK V3 in my Nextjs application to upload files to s3. Tension: the latest version of the @aws-sdk/client-s3. Outcome: fixed the issue for me.

MATCHESSolution

You may want to consider configuring your S3 bucket's CORS configuration — to allow specific websites served from other domains to pull your image and display it. Tension: You are serving a mix of HTTP and HTTPS content which often results to this problem. Outcome: hosting the image on a local server that runs on top of HTTP to make sure that all content is hosted on HTTP.

MATCHESSolution

For multipart + pre-signed uploads from expo react-native with express backend is as follows: — upload a large video file the fastest on RN Expo.

MATCHESSolution

const resizedImageBuffer = await sharp(file) — async function uploadImageToS3(. Tension: I tried using formidable and multer but both soltions are not working. Outcome: .resize(400, 500) // Specify your desired width or height for resizing.

MATCHESSolution

const buffer = Buffer.from(await file.arrayBuffer()); — export async function POST(request: NextRequest, response: NextResponse). Tension: How to pass the buffer and store the image on s3 bucket ??? Outcome: const command = new PutObjectCommand(params);.

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const fileStream = createReadStream(path); — async function uploadImageToS3( fileStream: NodeJS.ReadableStream, fileName: string. Outcome: Body: fileStream,.

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Only allow specific file types (JPG, PNG) and impose size limits (OWASP) — Input Validation and Sanitization. Tension: prevent injection attacks. Outcome: Validate and sanitize all uploaded images.

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What to do once the request stream size exceeded the limit? — I'm building a file upload handling library in Node.js. Tension: I want to know how to close the request so that no further data can be sent over the wire and waste the server resources. Outcome: you must use promise object which is stable to handle asyncronous tasks.

MATCHESSolution

control the number of concurrent file downloads — the API requests, since they seem to work fine as fast as you can request them. Tension: this is not exactly possible, since `FileSaver.js` can't tell you when a file has completed downloading. Outcome: maybe with some tweaking of the "magic numbers" you can get a consistent (faster than one at a time) result.

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large file uploads in Spring Boot. Tension: you never hit this limit. Outcome: Once I stopped sending the file in JSON, the problem disappeared.

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And multipart file locationCreateFile = fileUpload. Tension: the API consistently picks up the old file instead of the modified version. Outcome: Then status 200.

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the client setup is fairly simple — S3Client.builder(). Tension: the request failed with a 400.

MATCHESSolution

Create separate FileFields/Storage instances with the correct backend option by using `bucket_name` (e.g., `S3BotoStorage(bucket_name='other-bucket')`) so uploads go to the intended public bucket.

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