For real-time data processing (e.g., parsing the CSV without saving it to disk), you can retrieve the object as an InputStream . This is particularly useful for Spring Boot applications or AWS Lambda functions.
import software.amazon.awssdk.regions.Region; import software.amazon.awssdk.services.s3.S3Client; import software.amazon.awssdk.services.s3.model.GetObjectRequest; import java.nio.file.Paths; public class S3DownloadFile { public static void main(String[] args) { String bucketName = "my-data-bucket"; String key = "reports/data.csv"; String downloadPath = "./downloaded_data.csv"; S3Client s3 = S3Client.builder() .region(Region.US_EAST_1) .build(); GetObjectRequest getObjectRequest = GetObjectRequest.builder() .bucket(bucketName) .key(key) .build(); // Downloads the object directly to the specified file path s3.getObject(getObjectRequest, Paths.get(downloadPath)); System.out.println("File downloaded successfully to: " + downloadPath); } } Use code with caution. Method 2: Download and Process in Memory download csv file from s3 bucket java
: Add the s3 artifact to your pom.xml (Maven) or build.gradle (Gradle). For real-time data processing (e
: Always use a try-with-resources block or manually close the InputStream to avoid leaking network connections. Amazon S3 examples using SDK for Java 2.x Method 2: Download and Process in Memory :
