Aws Your Proposed Upload Is Smaller Than the Minimum Allowed Size
When it comes to file uploads performed by client apps, "traditionally," in a "serverful" world, nosotros might use the following approach:
- on the customer side, the user submits a form and the upload begins
- once the upload has been completed, we practise all of the necessary piece of work on the server, such every bit check the file type and size, sanitize the needed data, peradventure do epitome optimizations, and so, finally, move the file to a preferred location, be it some other storage server or maybe S3.
Although this is pretty straight forward, in that location are a few downsides:
- Uploading files to a server tin negatively bear upon its organization resources (RAM and CPU), peculiarly when dealing with larger files or paradigm processing.
- If you lot are storing files on a split up storage server, you also don't have unlimited deejay infinite, which ways that, as the file base grows, you'll demand to practice upgrades.
- Oh, aye, and did I mention backups?
- Security — at that place are never enough preventive steps that you tin can implement in this section.
- We constantly need to monitor these servers in order to avoid downtime and provide the best possible user experience.
Woah! 😰
Just, luckily, there's an easier and better fashion to perform file uploads! By using pre-signed POST information, rather than our own servers, S3 enables united states to perform uploads direct to information technology, in a controlled, performant, and very safe manner. 🚀
You might be asking yourself: "What is pre-signed Mail service data and how does information technology all work together." Well, sit back and relax, because, in this curt post, nosotros'll cover everything you lot need to know to get you started.
For demonstration purposes, we'll as well create a elementary app for which nosotros'll utilise a little bit of React on the frontend and a uncomplicated Lambda function (in conjunction with API gateway) on the backend.
Permit's get!
How does information technology work?
On a high level, information technology is basically a ii-step procedure:
- The client app makes an HTTP request to an API endpoint of your pick (i), which responds (2) with an upload URL and pre-signed Mail information (more information almost this soon). Note that this asking does not comprise the actual file that needs to be uploaded, but it tin contain additional information if needed. For instance, you might want to include the file proper noun if for some reason you demand information technology on the backend side. You are free to send anything yous need, just this is certainly not a requirement. For the API endpoint, as mentioned, we're going to utilize a simple Lambda office.
- One time it receives the response, the client app makes a
multipart/form-information
Mail asking (3), this time straight to S3. This one contains received pre-signed POST data, along with the file that is to be uploaded. Finally, S3 responds with the 204 OK response lawmaking if the upload was successful or with an advisable mistake response code if something went wrong.
Alright, now that we've gotten that out of the style, y'all might still be thinking what pre-signed POST data is and what information information technology contains.
It is basically a set up of fields and values, which, first of all, contains information about the actual file that's to be uploaded, such as the S3 cardinal and destination bucket. Although not required, information technology'due south likewise possible to set boosted fields that further describe the file, for example, its content type or allowed file size.
It also contains information near the file upload request itself, for example, security token, policy, and a signature (hence the name "pre-signed"). With these values, the S3 determines if the received file upload request is valid and, fifty-fifty more importantly, allowed. Otherwise, everyone could only upload whatever file to information technology equally they liked. These values are generated for you by the AWS SDK.
To cheque information technology out, permit'due south have a look at a sample outcome of thecreatePresignedPost
method call, which is part of the Node.js AWS SDK and which nosotros'll later use in the implementation department of this postal service. The pre-signed Mail data is contained in the "fields" fundamental:
{ "url": "https://s3.us-due east-ii.amazonaws.com/webiny-cloud-z1", "fields": { "key": "uploads/1jt1ya02x_sample.jpeg", "bucket": "webiny-cloud-z1", "X-Amz-Algorithm": "AWS4-HMAC-SHA256", "X-Amz-Credential": "A..../us-east-two/s3/aws4_request", "X-Amz-Appointment": "20190309T203725Z", "X-Amz-Security-Token": "FQoGZXIvYXdzEMb//////////...i9kOQF", "Policy": "eyJleHBpcmF0a...UYifV19", "X-Amz-Signature": "05ed426704d359c1c68b1....6caf2f3492e" } }
Equally developers, we don't actually demand to concern ourselves too much with the values of some of these fields (once nosotros're sure the user is actually authorized to asking this information). Information technology'southward important to note that all of the fields and values must be included when doing the actual upload, otherwise the S3 volition respond with an error.
Now that we know the basics, we're set up to move onto the actual implementation. We'll start with the client side, after which we'll fix our S3 bucket and finally create our Lambda function.
Client
As nosotros've mentioned at the beginning of this postal service, nosotros're going to use React on the client side, then what we have here is a unproblematic React component that renders a button, which enables the user to select any type of file from his local system. Once selected, we immediately starting time the file upload process.
Allow'due south take a look:
import React from "react" ; | |
import Files from "react-butterfiles" ; | |
/** | |
* Recall pre-signed POST data from a dedicated API endpoint. | |
* @param selectedFile | |
* @returns {Promise<any>} | |
*/ | |
const getPresignedPostData = selectedFile => { | |
return new Promise ( resolve => { | |
const xhr = new XMLHttpRequest ( ) ; | |
// Set up the proper URL here. | |
const url = "https://mysite.com/api/files" ; | |
xhr . open ( "POST" , url , true ) ; | |
xhr . setRequestHeader ( "Content-Blazon" , "application/json" ) ; | |
xhr . transport ( | |
JSON . stringify ( { | |
name: selectedFile . name , | |
type: selectedFile . blazon | |
} ) | |
) ; | |
xhr . onload = role ( ) { | |
resolve ( JSON . parse ( this . responseText ) ) ; | |
} ; | |
} ) ; | |
} ; | |
/** | |
* Upload file to S3 with previously received pre-signed Mail service information. | |
* @param presignedPostData | |
* @param file | |
* @returns {Promise<any>} | |
*/ | |
const uploadFileToS3 = ( presignedPostData , file ) => { | |
render new Promise ( ( resolve , reject ) => { | |
const formData = new FormData ( ) ; | |
Object . keys ( presignedPostData . fields ) . forEach ( key => { | |
formData . append ( cardinal , presignedPostData . fields [ fundamental ] ) ; | |
} ) ; | |
// Actual file has to be appended last. | |
formData . append ( "file" , file ) ; | |
const xhr = new XMLHttpRequest ( ) ; | |
xhr . open ( "POST" , presignedPostData . url , true ) ; | |
xhr . send ( formData ) ; | |
xhr . onload = part ( ) { | |
this . status === 204 ? resolve ( ) : reject ( this . responseText ) ; | |
} ; | |
} ) ; | |
} ; | |
/** | |
* Component renders a uncomplicated "Select file..." button which opens a file browser. | |
* Once a valid file has been selected, the upload process volition start. | |
* @returns {*} | |
* @constructor | |
*/ | |
const FileUploadButton = ( ) => ( | |
< Files | |
onSuccess = { async ( [ selectedFile ] ) => { | |
// Stride 1 - go pre-signed POST data. | |
const { data: presignedPostData } = await getPresignedPostData ( selectedFile ) ; | |
// Step 2 - upload the file to S3. | |
effort { | |
const { file } = selectedFile . src ; | |
await uploadFileToS3 ( presignedPostData , file ) ; | |
panel . log ( "File was successfully uploaded!" ) ; | |
} take hold of ( e ) { | |
console . log ( "An error occurred!" , e . message ) ; | |
} | |
} } | |
> | |
{ ( { browseFiles } ) => < push button onClick = { browseFiles } >Select file...< / button > } | |
< / Files > | |
) ; |
For an easier file selection and cleaner code, nosotros've utilized a minor parcel called react-butterfiles. The author of the bundle is really me, so if you have any questions or suggestions, experience complimentary to let me know! 😉
Other than that, in that location aren't whatsoever additional dependencies in the code. We didn't even bother to use a 3rd party HTTP client (for case axios) since nosotros were able to achieve everything with the built-in XMLHttpRequest API.
Notation that we've used FormData for assembling the asking body of the 2nd S3 request. Besides appending all of the fields independent in the pre-signed POST data, besides make certain that the bodily file is appended as the terminal field. If yous do that before, S3 will render an error, so watch for that one.
S3 bucket
Let's create an S3 saucepan, which will shop all of our files. In example you don't know how to create it, the simplest fashion to do this would be via the S3 Management Console.
Once created, we must adjust the CORS configuration for the bucket. By default, every bucket accepts simply Go requests from another domain, which means our file upload attempts (POST requests) would be declined:
Access to XMLHttpRequest at 'https://s3.amazonaws.com/presigned-post-test' from origin 'http://localhost:3001' has been blocked by CORS policy: No 'Access-Command-Let-Origin' header is present on the requested resource.
To set up that, simply open your bucket in the S3 Management Console and select the "Permissions" tab, where you should be able to see the "CORS configuration" button.
Looking at the default policy in the above screenshot, nosotros but need to append the post-obit dominion:
<AllowedMethod>POST</AllowedMethod>
The consummate policy would then exist the following:
<CORSConfiguration> <CORSRule> <AllowedOrigin>*</AllowedOrigin> <AllowedMethod>GET</AllowedMethod> <AllowedMethod>Mail</AllowedMethod> <MaxAgeSeconds>3000</MaxAgeSeconds> <AllowedHeader>Authorization</AllowedHeader> </CORSRule> </CORSConfiguration>
Alright, let'southward movement to the last piece of the puzzle and that's the Lambda function.
Lambda
Since it is a scrap out of the scope of this post, I'll assume yous already know how to deploy a Lambda function and expose it via the API gateway, using the Serverless framework. The serverless.yaml
file I used for this picayune project can be establish hither.
To generate pre-signed Mail service information, nosotros volition use the AWS SDK, which is by default available in every Lambda role. This is great, merely nosotros must be aware that information technology tin simply execute actions that were allowed by the part that is currently assigned to the Lambda function. This is important because, in our example, if the role didn't have the permission for creating objects in our S3 saucepan, upon uploading the file from the client, S3 would reply with the Access Denied
fault:
<?xml version="ane.0" encoding="UTF-8"?> <Error><Code>AccessDenied</Code><Bulletin>Access Denied</Message><RequestId>DA6A3371B16D0E39</RequestId><HostId>DMetGYguMQ+east+HXmNShxcG0/lMg8keg4kj/YqnGOi3Ax60=</HostId></Fault>
So, earlier continuing, make sure your Lambda part has an adequate role. For this, we can create a new part, and attach the following policy to it:
{ "Version": "2012-10-17", "Statement": [ { "Sid": "VisualEditor0", "Consequence": "Allow", "Activity": "s3:PutObject", "Resource": "arn:aws:s3:::presigned-postal service-data/*" } ] }
A quick tip here: for security reasons, when creating roles and defining permissions, make sure to follow the principle of least privilege, or in other words, assign only permissions that are actually needed by the function. No more, no less. In our case, nosotros specifically allowed s3:PutObject
action on the presigned-mail service-data
bucket. Avoid assigning default AmazonS3FullAccess
at all costs.
Alright, if your office is fix, let'southward take a look at our Lambda office:
const S3 = require ( "aws-sdk/clients/s3" ) ; | |
const uniqid = require ( "uniqid" ) ; | |
const mime = require ( "mime" ) ; | |
/** | |
* Use AWS SDK to create pre-signed POST information. | |
* We also put a file size limit (100B - 10MB). | |
* @param key | |
* @param contentType | |
* @returns {Hope<object>} | |
*/ | |
const createPresignedPost = ( { key, contentType } ) => { | |
const s3 = new S3 ( ) ; | |
const params = { | |
Expires: lx , | |
Bucket: "presigned-mail service-information" , | |
Conditions: [ [ "content-length-range" , 100 , 10000000 ] ] , // 100Byte - 10MB | |
Fields: { | |
"Content-Type": contentType , | |
primal | |
} | |
} ; | |
return new Promise ( async ( resolve , reject ) => { | |
s3 . createPresignedPost ( params , ( err , data ) => { | |
if ( err ) { | |
pass up ( err ) ; | |
return ; | |
} | |
resolve ( data ) ; | |
} ) ; | |
} ) ; | |
} ; | |
/** | |
* Nosotros need to respond with adequate CORS headers. | |
* @type {{"Admission-Command-Allow-Origin": string, "Access-Control-Allow-Credentials": boolean}} | |
*/ | |
const headers = { | |
"Access-Command-Allow-Origin": "*" , | |
"Access-Control-Allow-Credentials": true | |
} ; | |
module . exports . getPresignedPostData = async ( { body } ) => { | |
try { | |
const { proper noun } = JSON . parse ( body ) ; | |
const presignedPostData = await createPresignedPost ( { | |
primal: ` ${ uniqid ( ) } _ ${ proper noun } ` , | |
contentType: mime . getType ( name ) | |
} ) ; | |
return { | |
statusCode: 200 , | |
headers, | |
body: JSON . stringify ( { | |
error: false , | |
information: presignedPostData , | |
message: aught | |
} ) | |
} ; | |
} catch ( e ) { | |
return { | |
statusCode: 500 , | |
headers, | |
body: JSON . stringify ( { | |
error: true , | |
data: zippo , | |
message: east . message | |
} ) | |
} ; | |
} | |
} ; |
Besides passing the basickey
and Content-Blazon
fields (line eighteen), we too appended the content-length-range
condition (line 17), which limits the file size to a value from 100B to 10MB. This is very important, because without the condition, users would basically be able to upload a 1TB file if they decided to do information technology.
The provided values for the condition are in bytes. Besides note that there are other file atmospheric condition you lot can utilise if needed.
One final note regarding the "naive" ContentType
detection you might've noticed (line 49). Because the HTTP request that volition trigger this Lambda role doesn't incorporate the actual file, it's impossible to check if the detected content type is actually valid. Although this will suffice for this post, in a real-earth awarding you would do additional checks in one case the file has been uploaded. This can exist done either via an additional Lambda function that gets triggered one time the file has been uploaded, or you could blueprint custom file URLs, which indicate to a Lambda function and not to the actual file. This style, y'all can brand necessary inspections (ideally only once is enough) before sending the file dorsum to the client.
Permit's try information technology out!
If you've managed to execute all of the steps correctly, everything should exist working fine. To try it out, let'south first try to upload files that don't comply with the file size status. So, if the file is smaller than 100B, we should receive the following error message:
Mail https://s3.u.s.-east-ii.amazonaws.com/webiny-cloud-z1 400 (Bad Request) Uncaught (in promise) <?xml version="1.0" encoding="UTF-viii"?> <Error><Code>EntityTooSmall</Code><Message>Your proposed upload is smaller than the minimum allowed size</Message><ProposedSize>19449</ProposedSize><MinSizeAllowed>100000</MinSizeAllowed><RequestId>AB7CE8CC00BAA851</RequestId><HostId>mua824oABTuCfxYr04fintcP2zN7Bsw1V+jgdc8Y5ZESYN9/QL8454lm4++C/gYqzS3iN/ZTGBE=</HostId></Error>
On the other manus, if information technology's larger than 10MB, we should as well receive the post-obit:
POST https://s3.usa-e-ii.amazonaws.com/webiny-cloud-z1 400 (Bad Request) Uncaught (in hope) <?xml version="1.0" encoding="UTF-8"?> <Mistake><Lawmaking>EntityTooLarge</Code><Message>Your proposed upload exceeds the maximum allowed size</Message><ProposedSize>10003917</ProposedSize><MaxSizeAllowed>10000000</MaxSizeAllowed><RequestId>50BB30B533520F40</RequestId><HostId>j7BSBJ8Egt6G4ifqUZXeOG4AmLYN1xWkM4/YGwzurL4ENIkyuU5Ql4FbIkDtsgzcXkRciVMhA64=</HostId></Fault>
Finally, if we tried to upload a file that'southward in the allowed range, we should receive the 204 No content
HTTP response and nosotros should be able to see the file in our S3 bucket.
Other approaches to uploading files
This method of uploading files is certainly not the only or the "right" one. S3 actually offers a few ways to accomplish the same affair. You lot cull the one that mostly aligns with your needs and environment.
For example, AWS Amplify client framework might exist a skilful solution for you, merely if yous're non utilizing other AWS services like Cognito or AppSync, you don't really need to use information technology. The method we've shown here, on the customer side, consists of two uncomplicated HTTP Mail requests for which we certainly didn't need to utilize the whole framework, nor whatever other package for that matter. Always strive to make your client app build as light as possible.
You might've also heard about the pre-signed URL approach. If you were wondering what is the divergence between the 2, on a high level, it is similar to the pre-signed Mail data approach, only it is less customizable:
Note: Not all functioning parameters are supported when using pre-signed URLs. Certain parameters, such as
SSECustomerKey
,ACL
,Expires
,ContentLength
, orTagging
must be provided as headers when sending a asking. If you are using pre-signed URLs to upload from a browser and demand to use these fields, see createPresignedPost().
One notable feature that it lacks is specifying the minimum and maximum file size, which in this post we've achieved with the content-length-range
condition. Since this is a must-have if y'all enquire me, the approach we've covered in this post would definitely be my go-to choice.
Boosted steps
Although the solution nosotros've congenital does the job pretty well, there is always room for improvement. Once you striking product, you will certainly want to add the CloudFront CDN layer, and so that your files are distributed faster all over the world.
If you'll be working with image or video files, you will also want to optimize them, considering it can salvage you a lot of bytes (and money of course), thus making your app work much faster.
Determination
Serverless is a actually hot topic these days and it'southward non surprising since so much work is abstracted abroad from u.s., making our lives easier as software developers. When comparing to "traditional serverful" architectures, both S3 and Lambda that nosotros've used in this post basically require no or very little organisation maintenance and monitoring. This gives u.s. more than fourth dimension to focus on what really matters, and ultimately that is the bodily product we're creating.
Thanks for sticking until the very end of this article. Feel free to let me know if yous have any questions or corrections, I would exist glad to cheque them out!
Thanks for reading! My proper name is Adrian and I piece of work every bit a full stack developer at Webiny. In my spare time, I like to write nigh my experiences with some of the modern frontend and backend web evolution tools, hoping it might aid other developers. If you have any questions, comments or but wanna say howdy, experience free to accomplish out to me via Twitter.
Source: https://www.webiny.com/blog/upload-files-to-aws-s3-using-pre-signed-post-data-and-a-lambda-function-7a9fb06d56c1/
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