Boot your search with Spring
summary
Shows how to wire Solr, Elasticsearch and MongoDB full‑text search into Spring Data with Spring Boot auto‑configuration, demonstrating a preloaded Elasticsearch index, Kibana/Marvel tooling, and a demo blog search. Covers schema detection, tokenizers/analyzers, stopwords, scoring and query‑time vs index‑time boosting, building a MongoDB text index with weights and consuming its score via @TextScore, plus Solr/ES highlighting, facets and aggregations. Code and examples live on GitHub.
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chapters (21)
- 0:00Introduction
- 0:50History of Search
- 5:39What is Search
- 9:19Level of abstraction
- 10:25Spring Data
- 12:43Spring Data releases
- 14:01Release Bomb
- 15:12Spring Data abstractions
- 16:16Repository implementation
- 18:57Search terms
- 20:12Demo
- 24:41Data Integration
- 25:21Elastic Search
- 25:58Elastic Search Schema
- 27:32Schema Migration
- 29:53ElasticSearch
- 33:24Basic Search
- 34:44Query Boosting
- 38:09Query vs Filter
- 40:06Example
- 54:49Spring Schema
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