I am using AWS API gateway to invoke my aws lambda functions. They are REST web-services that will return response back to the caller. Some of the responses are more than 20 MB. Due to the nature of the response data (data is polylines that represents complex structures) I cannot use pagination here. AWS Lambda got the limitation of lambda response body cannot exceed 6MB size and due to this limitation some of my responses that are above 6MB are failing with 'body size is too long' message. I would like to know is there a way to increase the 6MB limitation of lambda responses?
Thanks for the comments, I have implemented in the same way as mentioned in the comments
Uploaded the response to s3 bucket, and provided a redirect url to the caller. Here is the sample code that works.
You may also enable CORS at s3 bucket level to make it work well. You may change to the correct region
public String uploadToS3(Set<MyClass> myclassSet, String bucketName) throws IOException {
Region region = Regions.getCurrentRegion();
if (region == null) {
region = Region.getRegion(Regions.US_EAST_1);
}
AmazonS3 s3Client = AmazonS3ClientBuilder.standard()
.withRegion(region.getName())
.withCredentials(DefaultAWSCredentialsProviderChain.getInstance())
.build();
ObjectMapper mapper = new ObjectMapper();
String jsonClass = mapper.writeValueAsString(myclassSet);
s3Client.putObject(bucketName, "random_key.json", jsonClass);
GeneratePresignedUrlRequest req = new GeneratePresignedUrlRequest(bucketName, "random_key.json");
URL url = s3Client.generatePresignedUrl(req);
String redirectUrl = url.toString();
return redirectUrl;
}
Related
I am working with AWS S3 Bucket, and trying to upload image from react native project managed by expo. I have express on the backend. I have created a s3 file on backend that handles getting the presigned url, and this works, and returns the url to the front end inside this thunk function from reduxjs toolkit. I used axios to send request to my server, this works. I have used axios and fetch to try the final put to the presigned url but when it reached the s3 bucket there is nothing in the file just an empty file with 200 bytes everytime. When I use the same presigned url from postman and upload and image in binary section then send the post request the image uploads to the bucket no problems. When I send binary or base64 to bucket from RN app it just uploads those values in text form. I attempted react-native-image-picker but was having problems with that too. Any ideas would be helpful thanks. I have included a snippet from redux slice. If you need more info let me know.
redux slice projects.js
// create a project
// fancy funtion here ......
export const createProject = createAsyncThunk(
"projects/createProject",
async (postData) => {
// sending image to s3 bucket and getting a url to store in d
const response = await axios.get("/s3")
// post image directly to s3 bucket
const s3Url = await fetch(response.data.data, {
method: "PUT",
body: postData.image
});
console.log(s3Url)
console.log(response.data.data)
// make another request to my server to store extra data
try {
const response = await axios.post('/works', postData)
return response.data.data;
} catch (err) {
console.log("Create projects failed: ", err)
}
}
)
I am currently creating a basic app with React-Native (frontend) and Flask/MongoDB (backend). I am planning on using AWS S3 as cheap cloud storage for all the images and videos that are going to be uploaded and viewed. My current idea (and this could be totally off), is when a user uploads content, it will go through my Flask API and then to the S3 storage. When a user wants to view content, I am not sure what the plan of attack is here. Should I use my Flask API as a proxy, or is there a way to simply send a link to the content directly on S3 (which would avoid the extra traffic through my API)?
I am quite new to using AWS and if there is already a post discussing this topic, please let me know, and I'd be more than happy to take down this duplicate. I just can't seem to find anything.
Should I use my Flask API as a proxy, or is there a way to simply send a link to the content directly on S3 (which would avoid the extra traffic through my API)?
If the content is public, you just provide an URL which points directly to the file on the S3 bucket.
If the content is private, you generate presigned url on your backend for the file for which you want to give access. This URL should be valid for a short amount of time (for example: 15/30 minutes). You can regenerate it, if it becomes unavailable.
Moreover, you can generate a presigned URL which can be used for uploads directly from the front-end to the S3 bucket. This might be an option if you don't want the upload traffic to go through the backend or you want faster uploads.
There is an API boto3, try to use it.
It is not so difficult, I have done something similar, will post code here.
I have done like #Ervin said.
frontend asks backend to generate credentials
backend sends to frontend the credentials
Frontend upload file to S3
Frontend warns backend it has done.
Backend validate if everything is ok.
Backend will create a link to download, you have a lot of security options.
example of item 6) To generate a presigned url to download content.
bucket = app.config.get('BOTO3_BUCKET', None)
client = boto_flask.clients.get('s3')
params = {}
params['Bucket'] = bucket
params['Key'] = attachment_model.s3_filename
params['ResponseContentDisposition'] = 'attachment; filename={0}'.format(attachment_model.filename)
if attachment_model.mimetype is not None:
params['ResponseContentType'] = attachment_model.mimetype
url = client.generate_presigned_url('get_object', ExpiresIn=3600, Params=params)
example of item 2) Backend will create presigned credentials to post your file on S3, send s3_credentials to frontend
acl_permission = 'private' if private_attachment else 'public-read'
condition = [{'acl': acl_permission},
["starts-with", "$key", '{0}/'.format(folder_name)],
{'Content-Type': mimetype }]
bucket = app.config.get('BOTO3_BUCKET', None)
fields = {"acl": acl_permission, 'Bucket': bucket, 'Content-Type': mimetype}
client = boto_flask.clients.get('s3')
s3_credentials = client.generate_presigned_post(bucket, s3_filename, Fields=fields, Conditions=condition, ExpiresIn=3600)
example of item 5) Here are an example how backend can check if file on S3 are ok.
bucket = app.config.get('BOTO3_BUCKET', None)
client = boto_flask.clients.get('s3')
response = client.head_object(Bucket=bucket, Key=s3_filename)
if response is None:
return None, None
md5 = response.get('ETag').replace('"', '')
size = response.get('ContentLength')
Here are an example how frontend will ask for credentials, upload file to S3 and inform backend it is done.
I tried to remove a lot of particular code.
//frontend asking backend to create credentials, frontend will send some file metadata
AttachmentService.createPostUrl(payload).then((responseCredentials) => {
let form = new FormData();
Object.keys(responseCredentials.s3.fields).forEach(key => {
form.append(key, responseCredentials.s3.fields[key]);
});
form.append("file", file);
let payload = {
data: form,
url: responseCredentials.s3.url
}
//Frontend will send file to S3
axios.post(payload.url, payload.data).then((res) => {
return Promise.resolve(true);
}).then((result) => {
//when it is done, frontend informs backend
AttachmentService.uploadSuccess(...).then((refreshCase) => {
//Success
});
});
});
Task: Upload an already-compressed file to an Amazon AWS S3 bucket using the AWSSDK.S3 package in .NET Core, and set the Content-Encoding header to "gzip".
I have an S3 bucket that I am trying to upload to. I'm using an IO stream for the data, but there's no way to set the item's Content-Encoding during the upload process. This is the header I want to set that the item will have when served up by the S3 service (it is not the Content-Encoding for the upload itself).
I am using the TransferUtility and TransferUtilityUploadRequest objects. Whereas you can set Content-Type just fine (see below), there is no property to set Content-Encoding. If you use the Metadata.Add function, it will automatically rewrite Content-Encoding to a custom "x-amz-meta-content-encoding" key, which is of course useless.
From what I understand you can't set the Metadata in S3 after the fact except by copying the object, or doing it yourself manually (this is a no-go for me, too many files). With copying the object, I'm not sure I'd be able to set the metadata anyway.
var s3Client = new AmazonS3Client(awsCredentials, bucketRegion);
var fileTransferUtility = new TransferUtility(s3Client);
byte[] compressedDataArray = <some compressed data>;
using (MemoryStream memoryStream = new MemoryStream(compressedDataArray)) {
var fileTransferUtilityRequest = new TransferUtilityUploadRequest {
BucketName = bucketName,
ContentType = "application/json",
StorageClass = S3StorageClass.Standard,
Key = fileKey + ".gz",
CannedACL = S3CannedACL.PublicRead,
InputStream = memoryStream,
AutoCloseStream = true
};
fileTransferUtilityRequest.Metadata.Add("Content-Encoding", "gzip");
fileTransferUtility.Upload(fileTransferUtilityRequest);
}
It will upload to a the new file in S3, but will not have Content-Encoding header set.
Please help, anyone! thanks!
okay what seems to work is to set the ContentEncoding on the Headers collection for the request:
fileTransferUtilityRequest.Headers.ContentEncoding = "gzip";
I have created an API using AWS api gateway like https://api.mydomain.com/v1/download?id=1234". The download resource has GET method. And the GET method is invoking lambda function using Lambda Proxy Integration.
The Lambda function needs to act as Proxy. It needs to resolve correct backend endpoint based on header x-clientId and then forward the request to that backend endpoint and return response as it is. So it needs to be generic to handle GET request of different content-type.
My lambda function looks like ( .NET Core)
public async Task<APIGatewayProxyResponse> Route(APIGatewayProxyRequest input, ILambdaContext context)
{
var clientId = headers["x-clientId"];
var mappings = new Mappings();
var url = await mappings.GetBackendUrl(clientId, input.Resource);
var httpClient = new HttpClient();
var response = await httpClient.GetAsync(url);
response.EnsureSuccessStatusCode();
var proxyResponse = new APIGatewayProxyResponse()
{
Headers = new Dictionary<string, string>(),
StatusCode = (int)System.Net.HttpStatusCode.OK,
IsBase64Encoded = false,
Body = await response.Content.ReadAsString())
};
}
The handler above works as long as request and response's content-type is application/json or application/xml. However i am not sure how to handle response when backend returns stream.
For download API, the backend returns Content-Disposition: attachment; filename="somefilename and ContentType may be one of the following:
application/pdf
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
application/vnd.openxmlformats-officedocument.wordprocessingml.document
application/x-zip-compressed
application/octet-stream
For these streams, How do i set APIGatewayProxyResponse.Body?
For Excel file I have tried setting body like below
var proxyResponse = new APIGatewayProxyResponse()
{
Headers = new Dictionary<string, string>(),
StatusCode = (int)System.Net.HttpStatusCode.OK,
IsBase64Encoded = true,
Body = Convert.ToBase64String(await response.Content.ReadAsByteArrayAsync())
};
proxyResponse.Headers.Add("Content-Type", "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet");
proxyResponse.Headers.Add("Content-Disposition", "attachment; filename=\"Report.xlsx\"");
When i access the Url from the browser and try to open the file. I get error
Excel cannot open the fileReport.xlsxbecuase the file format or file extension is not valid. Verify that the file has not been corrupted and that the extention matches the format of the file
I think the issue is how i am setting the response body
Update 1
So based on AWS doc Binary Data Now Supported by API Gateway. Now as per the documentation
you can specify if you would like API Gateway to either pass the
Integration Request and Response bodies through, convert them to text
(Base64 encoding), or convert them to binary (Base64 decoding). These
options are available for HTTP, AWS Service, and HTTP Proxy
integrations. In the case of Lambda Function and Lambda Function Proxy
Integrations, which currently only support JSON, the request body is
always converted to JSON.
I am using Lambda Function Proxy, which currently support JSON. However the example here shows how to do it with Lambda Proxy.
I think what i am missing here is Binary Media Types setting and Method Response settings. Below is my setting. Not sure if these settings are correct
Binary Media
Method Response
here how solved it
1>add Binary Media Types. API->Settings->Binary Media Types -> add
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
2>In Method Response Add Content-Disposition and Content-Type headers for thestatus 200
3>In Integration Response map these headers to headers that are coming from the backend. And also set content handling convert to binary. (our backend api is returning file blob in body)
I want to use an AWS API Gateway as a proxy for fetching files from an S3 bucket and returning them to the client. I'm using a Lambda function to talk to S3 and send the file to the client via the AWS API Gateway. I've rad that the best way to do this is to use a "Lambda proxy integration" so the entire request gets piped to Lambda without any modification. But if I do that then I can't setup an Integration Response for the resulting response from my Lambda function. So all the client gets is JSON.
It seems there should be a way for the API Gateway to take the JSON and transform the request to the proper response for the client but I can't seem to figure out how to make that happen. There are lots of examples that point to setting a content-type on the response from the API Gateway manually but I need to set the content-type header to whatever the file type is.
Also for images and binary formats my Lambda function is returning a base64 encoded string and the property isBase64Encoded set to true. When I go to the "Binary Support" section and specify something like image/* as a content type that should be returned as binary, it doesn't work. I only have success by setting the Binary Support content type to */* (aka everything) which won't work for non-binary content types.
What am I missing and why does this seem so difficult?
Turns out API Gateway isn't the problem. My Lambda function wasn't returning proper headers.
For handling binary responses I found you need to set Binary Support content type to */* (aka everything) and then have your Lambda function return the property isBase64Encoded set to true. Responses that are base64 encoded and indicated as such will be decoded and served as binary while other requests will be returned as is.
Here's a simple Gist for a Lambda function that takes a given path and reads the file from S3 and returns it via the API Gateway:
/**
* This is a simple AWS Lambda function that will look for a given file on S3 and return it
* passing along all of the headers of the S3 file. To make this available via a URL use
* API Gateway with an AWS Lambda Proxy Integration.
*
* Set the S3_REGION and S3_BUCKET global parameters in AWS Lambda
* Make sure the Lambda function is passed an object with `{ pathParameters : { proxy: 'path/to/file.jpg' } }` set
*/
var AWS = require('aws-sdk');
exports.handler = function( event, context, callback ) {
var region = process.env.S3_REGION;
var bucket = process.env.S3_BUCKET;
var key = decodeURI( event.pathParameters.proxy );
// Basic server response
/*
var response = {
statusCode: 200,
headers: {
'Content-Type': 'text/plain',
},
body: "Hello world!",
};
callback( null, response );
*/
// Fetch from S3
var s3 = new AWS.S3( Object.assign({ region: region }) );
return s3.makeUnauthenticatedRequest(
'getObject',
{ Bucket: bucket, Key: key },
function(err, data) {
if (err) {
return err;
}
var isBase64Encoded = false;
if ( data.ContentType.indexOf('image/') > -1 ) {
isBase64Encoded = true;
}
var encoding = '';
if ( isBase64Encoded ) {
encoding = 'base64'
}
var resp = {
statusCode: 200,
headers: {
'Content-Type': data.ContentType,
},
body: new Buffer(data.Body).toString(encoding),
isBase64Encoded: isBase64Encoded
};
callback(null, resp);
}
);
};
via https://gist.github.com/kingkool68/26aa7a3641a3851dc70ce7f44f589350