读取和写入Amazon s3存储桶中的文件

Question

I need to read a large (>15mb) file (say sample.csv ) from an Amazon S3 bucket. I then need to process the data present in sample.csv and keep writing it to another directory in the S3 bucket. I intend to use an AWS Lambda function to run my java code.

As a first step I developed java code that runs on my local system. The java code reads the sample.csv file from the S3 bucket and I used the put method to write data back to the S3 bucket. But I find only the last line was processed and put back.

Region clientRegion = Region.Myregion;    
AwsBasicCredentials awsCreds = AwsBasicCredentials.create("myAccessId","mySecretKey");    
S3Client s3Client = S3Client.builder().region(clientRegion).credentialsProvider(StaticCredentialsProvider.create(awsCreds)).build();    
ResponseInputStream<GetObjectResponse> s3objectResponse = s3Client.getObject(GetObjectRequest.builder().bucket(bucketName).key("Input/sample.csv").build());    
BufferedReader reader = new BufferedReader(new InputStreamReader(s3objectResponse));    
String line = null;
while ((line = reader.readLine()) != null) {
                s3Client.putObject(PutObjectRequest.builder().bucket(bucketName).key("Test/Testout.csv").build(),RequestBody.fromString(line));
}

Example: sample.csv contains

1,sam,21,java,beginner;
2,tom,28,python,practitioner;
3,john,35,c#,expert.

My output should be

1,mas,XX,java,beginner;
2,mot,XX,python,practitioner;
3,nhoj,XX,c#,expert. 

But only 3,nhoj,XX,c#,expert is written in the Testout.csv .

Answer 1

The putObject() method creates an Amazon S3 object.

It is not possible to append or modify an S3 object, so each time the while loop executes, it is creating a new Amazon S3 object.

Instead, I would recommend:

• Download the source file from Amazon S3 to local disk (use GetObject() with a destinationFile to download to disk)
• Process the file and output to a local file
• Upload the output file to the Amazon S3 bucket ( method )

This separates the AWS code from your processing code, which should be easier to maintain.