Schema Learning in Apache Solr #bbuzz
summary
Describes a Schema-Learning mode added to Apache Solr used at Unbxd that infers better field types than Solr’s default schema-less behavior by learning from incoming documents and runtime query patterns. Explains how the feature uses a field type hierarchy to resolve schema inference, and shows how that improves searching, sorting and faceting performance and helps reveal data anomalies.
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chapters (7)
- 0:00Start
- 2:45Objectives
- 3:39The Solution: Schema Learning Framework
- 4:46Schema Learning Framework: Primitives/Regex based inference
- 5:59Schema Learning Framework: Type Hierarchy: Primitives+Regex based inference
- 7:48Schema Learning Framework: Primitives based Inference
- 13:10Schema Learning Framework: Model based inference: Training
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