Advanced search for your legacy application
summary
Live coding shows adding Elasticsearch to a RestX + Hibernate + Postgres/MySQL app to get advanced search features without rewriting SQL or app architecture. Uses Elasticsearch 6.2, Docker, Java high‑level client, Jackson for JSON, bulk indexing of ~5k–30k records, a hybrid analyzer for name matching, autocomplete, geo queries and aggregations, and a Kibana dashboard. The integration builds an index, fixes analyzers and mappings on the fly, and ends up working with small tweaks in the demo.
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chapters (13)
- 0:00Advanced search introduction
- 3:14Elastic Stack overview
- 7:04Basic Elasticsearch search demo
- 12:27Adding Elasticsearch to legacy app
- 17:19Data sync and transactions
- 21:49Indexing and performance tuning
- 26:59Advanced Elasticsearch queries
- 31:21Text analyzers and custom search
- 36:23Field mapping and index tuning
- 41:23Autocomplete and search suggestions
- 45:27Data aggregation and visualization
- 48:35Kibana dashboards
- 50:26Conclusion et questions
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