How to insert data into S3 tables (Apache Iceberg) using S3 SDK

Unfortunately, there isn't a direct way to insert data into S3 tables (Apache Iceberg) using the S3 SDK from a Java application as you've described. The S3 tables feature is designed to work with specific analytics engines and services that support Apache Iceberg.

For inserting data into S3 tables from a stream consumer application, the recommended approach is to use Amazon Kinesis Data Firehose. Firehose is a fully managed service that can deliver real-time streaming data to S3 tables. To use this method:

1. Set up a Firehose delivery stream with Apache Iceberg Tables as the destination.
2. Configure the necessary IAM roles and permissions for Firehose to access your S3 tables.
3. Use the Firehose SDK or API to send your data to the Firehose delivery stream from your Java application.

This approach would require you to modify your application to send data to Firehose instead of trying to write directly to S3 tables. You don't necessarily need to host your Java app in Firehose, but you would use Firehose as an intermediary service to handle the data insertion into S3 tables.

If you prefer to work directly with Apache Iceberg tables without using Firehose, you could consider using Apache Spark with the Amazon S3 Tables Catalog for Apache Iceberg. This would involve setting up a Spark environment (such as Amazon EMR) and using Spark SQL to insert data into your tables. However, this approach might be more complex and require more infrastructure setup compared to using Firehose.

In summary, while there isn't a direct S3 SDK method to insert data into S3 tables from a Java application, you can achieve your goal by either integrating with Kinesis Data Firehose or by using Apache Spark with the S3 Tables Catalog for Apache Iceberg.
Sources
Streaming data to tables with Amazon Data Firehose - Amazon Simple Storage Service
Accessing Amazon S3 tables from open source query engines - Amazon Simple Storage Service
Build a managed transactional data lake with Amazon S3 Tables | AWS Storage Blog