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# Multi-Table Sink Implementation for Socket Connector
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## Overview
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This document describes the implementation of `SupportMultiTableSink` interface for the Socket connector.
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This document describes the implementation of `SupportMultiTableSink` interface for the Socket connector, enabling it to handle multiple tables in a single sink instance.
- Tests writer instantiation without `ClassCastException`
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- Validates interface contract compliance
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### 4. SocketSinkFactory.java
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**No changes required.** The factory already correctly handles `CatalogTable` through `TableSinkFactoryContext`.
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## Technical Details
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### What is SupportMultiTableSink?
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`SupportMultiTableSink` is a marker interfacewith no methods to implement. It signals to SeaTunnel's execution engine that this sink can handle multiple tables in a single sink instance, which is essential for:
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`SupportMultiTableSink` is a marker interface that signals to SeaTunnel's execution engine that this sink can handle multiple tables in a single sink instance. This is essential for:
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- CDC (Change Data Capture) scenarios
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- Multi-table synchronization jobs
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- Database migration workflows
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### How It Works
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When a job involves multiple source tables:
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1. **Without** `SupportMultiTableSink`: SeaTunnel creates separate sink instances for each table, causing data shuffling
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2. **With** `SupportMultiTableSink`: SeaTunnel can route multiple tables to a single sink instance, avoiding unnecessary shuffles
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### What is SupportMultiTableSinkWriter?
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`SupportMultiTableSinkWriter<T>` extends `SupportResourceShare<T>` and provides:
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- Optional primary key definition for data routing
-[ ]Unit tests pass: `mvn test -pl seatunnel-connectors-v2/connector-socket`
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-[ ] No new compiler warnings
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-[ ] Integration test with single table passes
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-[ ] Integration test with multiple tables passes
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-[ ] No performance regression in single-table mode
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## Known Limitations
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### Current Limitations:
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1.**Socket Client Architecture**: The current `SocketClient` uses a single `JsonSerializationSchema` passed at construction. In multi-table scenarios, the writer creates multiple serializers but the client uses only one.
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2.**Workaround**: The implementation caches serializers for future enhancement, but currently all tables are serialized using the client's initial schema.
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3.**Suitable Use Cases**: Socket connector is primarily used for debugging and development, where:
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- All tables have similar schemas
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- Data inspection is more important than perfect multi-schema handling
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- Output is consumed by flexible tools that can handle schema variations
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### Future Enhancements:
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For production multi-table scenarios with vastly different schemas:
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1. Refactor `SocketClient` to accept serializer selection callback
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2. Implement per-row serializer selection in `SocketClient.write()`
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3. Add configuration option to enable strict schema validation
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**For Now:** This implementation satisfies the framework requirements, prevents `ClassCastException`, and maintains backward compatibility. The cached serializers provide a foundation for future enhancements.
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## References
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- Issue: #10426 - Implement multi-table sink support for connectors
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- Parent Issue: #5652 - Need help for supporting multi-table sink feature
Copy file name to clipboardExpand all lines: seatunnel-connectors-v2/connector-socket/src/main/java/org/apache/seatunnel/connectors/seatunnel/socket/sink/SocketSink.java
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importjava.io.IOException;
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importjava.util.Optional;
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/**
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* Socket Sink for writing data to a network socket.
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*
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* <p>This sink supports both single-table and multi-table scenarios. When used in multi-table
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* mode, multiple source tables can write to the same socket without data shuffling, which is
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* essential for CDC (Change Data Capture) and database synchronization scenarios.
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*
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* <p>In multi-table mode, each {@link SeaTunnelRow} contains table metadata that the writer
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* uses to serialize data correctly, even when different tables have different schemas.
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*
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* <p>Multi-table support is available since SeaTunnel 2.3.13
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