Implement Exactly-Once Semantics for S3 Sink

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Exactly-Once Semantics for S3 Sink

Description

Implement exactly-once semantics for the S3 sink connector to ensure records are written exactly once to S3, even during failures or retries, providing data consistency guarantees.

Tasks

• Implement transaction ID tracking for record batches
• Add idempotent write capabilities to prevent duplicates
• Handle recovery from failures with proper state management
• Coordinate with Kafka offset management
• Implement two-phase commit protocol for atomic operations
• Add transaction log for recovery scenarios
• Support transaction coordination across multiple connector tasks

Technical Details

• Use unique identifiers for each record batch
• Implement checkpoint mechanism for tracking successful writes
• Store transaction state in a dedicated location in S3
• Add comprehensive tests for failure scenarios and recovery
• Ensure thread-safe implementation for concurrent transactions

Acceptance Criteria

• Records are written exactly once to S3, even during failures
• No duplicate records are created during retries
• Recovery from failures works correctly
• Performance impact is minimal compared to at-least-once semantics
• All tests pass including complex failure scenarios

Priority

High (Priority 7 in GAP analysis)

Complexity

High