feat: add centralized data processing with memory optimization #6
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Implement support for processing unified centralized data from agents instead of individual per-handler files. This change introduces a new CentralizedData sync type and optimizes memory usage through pointer-based string deduplication. Key changes: - Add CentralizedData sync type and processing pipeline - Implement ProcessDataFromCentralData() method in all handlers - Add ClearMergedData() method for memory management between runs - Introduce CentralData model with pointer-based string deduplication at unmarshal time to reduce memory footprint - Add DataCollector interface for unified data collection - Update TrustedSourcesHandler to accept SyncID in constructor - Add suffix stripping support in mergeAndConvertCerealToGo utility - Refactor operations.go to support both traditional and centralized data processing flows Memory optimizations: - Use []*string for string deduplication in CentralData structures - Implement string pooling during JSON unmarshalling - Add ClearMergedData() calls to release references after processing
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Implement support for processing unified centralized data from agents instead of individual per-handler files. This change introduces a new CentralizedData sync type and optimizes memory usage through pointer-based string deduplication.
Key changes:
Memory optimizations: