AdvanceGrouper Transformer
Overview
The AdvanceGrouper transformer is an enhanced version of the traditional Grouper transformer in FME, offering improved performance and additional functionality for feature grouping and sampling. This transformer provides flexible methods to group and sample features based on different criteria.
Performance Improvements
Significantly reduced processing time compared to the standard Grouper
Optimized memory usage (peak memory usage: ~1.4MB for 150,000 features)
Efficient handling of large feature sets
Usage Notes
Supports processing of large feature sets (tested with 150,000+ features)
Maintains feature order during processing
Compatible with existing FME workflows
Provides visual feedback through the feature cache icons
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