Expand description
Time-series normalization for stream processing
This module provides production-grade time-series normalization capabilities including:
- Multiple fill strategies (forward, backward, linear interpolation, zero, skip)
- Timestamp alignment to regular intervals
- Out-of-order event handling with buffering
- Automatic interval detection
- Batch and streaming normalization
- Memory-efficient bounded buffers
- Comprehensive metrics and tracing
Structs§
- Normalization
Config - Configuration for time-series normalization
- Normalization
Stats - Statistics about normalization operations
- Normalizer
Builder - Builder for TimeSeriesNormalizer
- Time
Series Event - A time-series data point
- Time
Series Normalizer - Thread-safe time-series normalizer with out-of-order handling
Enums§
- Fill
Strategy - Strategy for filling missing time-series points
- Normalization
Error - Errors that can occur during normalization