Read file from aws s3 bucket using node fs - node.js

Question

I am attempting to read a file that is in a aws s3 bucket using
fs.readFile(file, function (err, contents) {
var myLines = contents.Body.toString().split('\n')
})
I've been able to download and upload a file using the node aws-sdk, but I am at a loss as to how to simply read it and parse the contents.
Here is an example of how I am reading the file from s3:
var s3 = new AWS.S3();
var params = {Bucket: 'myBucket', Key: 'myKey.csv'}
var s3file = s3.getObject(params)

Answer 1

You have a couple options. You can include a callback as a second argument, which will be invoked with any error message and the object. This example is straight from the AWS documentation:
s3.getObject(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Alternatively, you can convert the output to a stream. There's also an example in the AWS documentation:
var s3 = new AWS.S3({apiVersion: '2006-03-01'});
var params = {Bucket: 'myBucket', Key: 'myImageFile.jpg'};
var file = require('fs').createWriteStream('/path/to/file.jpg');
s3.getObject(params).createReadStream().pipe(file);

Answer 2

This will do it:
new AWS.S3().getObject({ Bucket: this.awsBucketName, Key: keyName }, function(err, data)
{
if (!err)
console.log(data.Body.toString());
});

Answer 3

Since you seem to want to process an S3 text file line-by-line. Here is a Node version that uses the standard readline module and AWS' createReadStream()
const readline = require('readline');
const rl = readline.createInterface({
input: s3.getObject(params).createReadStream()
});
rl.on('line', function(line) {
console.log(line);
})
.on('close', function() {
});

Answer 4

If you are looking to avoid the callbacks you can take advantage of the sdk .promise() function like this:
const s3 = new AWS.S3();
const params = {Bucket: 'myBucket', Key: 'myKey.csv'}
const response = await s3.getObject(params).promise() // await the promise
const fileContent = response.Body.toString('utf-8'); // can also do 'base64' here if desired
I'm sure the other ways mentioned here have their advantages but this works great for me. Sourced from this thread (see the last response from AWS): https://forums.aws.amazon.com/thread.jspa?threadID=116788

Answer 5

here is the example which i used to retrive and parse json data from s3.
var params = {Bucket: BUCKET_NAME, Key: KEY_NAME};
new AWS.S3().getObject(params, function(err, json_data)
{
if (!err) {
var json = JSON.parse(new Buffer(json_data.Body).toString("utf8"));
// PROCESS JSON DATA
......
}
});

Answer 6

I couldn't figure why yet, but the createReadStream/pipe approach didn't work for me. I was trying to download a large CSV file (300MB+) and I got duplicated lines. It seemed a random issue. The final file size varied in each attempt to download it.
I ended up using another way, based on AWS JS SDK examples:
var s3 = new AWS.S3();
var params = {Bucket: 'myBucket', Key: 'myImageFile.jpg'};
var file = require('fs').createWriteStream('/path/to/file.jpg');
s3.getObject(params).
on('httpData', function(chunk) { file.write(chunk); }).
on('httpDone', function() { file.end(); }).
send();
This way, it worked like a charm.

Answer 7

I prefer Buffer.from(data.Body).toString('utf8'). It supports encoding parameters. With other AWS services (ex. Kinesis Streams) someone may want to replace 'utf8' encoding with 'base64'.
new AWS.S3().getObject(
{ Bucket: this.awsBucketName, Key: keyName },
function(err, data) {
if (!err) {
const body = Buffer.from(data.Body).toString('utf8');
console.log(body);
}
}
);

Answer 8

I had exactly the same issue when downloading from S3 very large files.
The example solution from AWS docs just does not work:
var file = fs.createWriteStream(options.filePath);
file.on('close', function(){
if(self.logger) self.logger.info("S3Dataset file download saved to %s", options.filePath );
return callback(null,done);
});
s3.getObject({ Key: documentKey }).createReadStream().on('error', function(err) {
if(self.logger) self.logger.error("S3Dataset download error key:%s error:%#", options.fileName, error);
return callback(error);
}).pipe(file);
While this solution will work:
var file = fs.createWriteStream(options.filePath);
s3.getObject({ Bucket: this._options.s3.Bucket, Key: documentKey })
.on('error', function(err) {
if(self.logger) self.logger.error("S3Dataset download error key:%s error:%#", options.fileName, error);
return callback(error);
})
.on('httpData', function(chunk) { file.write(chunk); })
.on('httpDone', function() {
file.end();
if(self.logger) self.logger.info("S3Dataset file download saved to %s", options.filePath );
return callback(null,done);
})
.send();
The createReadStream attempt just does not fire the end, close or error callback for some reason. See here about this.
I'm using that solution also for writing down archives to gzip, since the first one (AWS example) does not work in this case either:
var gunzip = zlib.createGunzip();
var file = fs.createWriteStream( options.filePath );
s3.getObject({ Bucket: this._options.s3.Bucket, Key: documentKey })
.on('error', function (error) {
if(self.logger) self.logger.error("%#",error);
return callback(error);
})
.on('httpData', function (chunk) {
file.write(chunk);
})
.on('httpDone', function () {
file.end();
if(self.logger) self.logger.info("downloadArchive downloaded %s", options.filePath);
fs.createReadStream( options.filePath )
.on('error', (error) => {
return callback(error);
})
.on('end', () => {
if(self.logger) self.logger.info("downloadArchive unarchived %s", options.fileDest);
return callback(null, options.fileDest);
})
.pipe(gunzip)
.pipe(fs.createWriteStream(options.fileDest))
})
.send();

Answer 9

With the new version of sdk, the accepted answer does not work - it does not wait for the object to be downloaded. The following code snippet will help with the new version:
// dependencies
const AWS = require('aws-sdk');
// get reference to S3 client
const s3 = new AWS.S3();
exports.handler = async (event, context, callback) => {
var bucket = "TestBucket"
var key = "TestKey"
try {
const params = {
Bucket: Bucket,
Key: Key
};
var theObject = await s3.getObject(params).promise();
} catch (error) {
console.log(error);
return;
}
}

Answer 10

If you want to save memory and want to obtain each row as a json object, then you can use fast-csv to create readstream and can read each row as a json object as follows:
const csv = require('fast-csv');
const AWS = require('aws-sdk');
const credentials = new AWS.Credentials("ACCESSKEY", "SECRETEKEY", "SESSIONTOKEN");
AWS.config.update({
credentials: credentials, // credentials required for local execution
region: 'your_region'
});
const dynamoS3Bucket = new AWS.S3();
const stream = dynamoS3Bucket.getObject({ Bucket: 'your_bucket', Key: 'example.csv' }).createReadStream();
var parser = csv.fromStream(stream, { headers: true }).on("data", function (data) {
parser.pause(); //can pause reading using this at a particular row
parser.resume(); // to continue reading
console.log(data);
}).on("end", function () {
console.log('process finished');
});

Answer 11

var fileStream = fs.createWriteStream('/path/to/file.jpg');
var s3Stream = s3.getObject({Bucket: 'myBucket', Key: 'myImageFile.jpg'}).createReadStream();
// Listen for errors returned by the service
s3Stream.on('error', function(err) {
// NoSuchKey: The specified key does not exist
console.error(err);
});
s3Stream.pipe(fileStream).on('error', function(err) {
// capture any errors that occur when writing data to the file
console.error('File Stream:', err);
}).on('close', function() {
console.log('Done.');
});
Reference: https://docs.aws.amazon.com/sdk-for-javascript/v2/developer-guide/requests-using-stream-objects.html