Advanced search for your legacy application
summary
Live coding shows how to add Elasticsearch to a RestX + Hibernate + Postgresql/MySQL app by turning rows into JSON documents, creating a custom index and mappings, and wiring a bulk processor to push about one million records at high throughput. It implements custom analyzers and fields for full‑text, fielded search and autocomplete, adds aggregations for counts by country, and hooks into DB transactions (instead of slow polling) to keep indexes in sync. The integration runs in production‑style tests with low latency and incremental updates working end to end.
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chapters (9)
- 0:00Introduction to Elasticsearch
- 6:04Legacy app search challenges
- 13:56Elasticsearch implementation basics
- 24:01Data indexing strategies
- 32:29Advanced search features
- 41:56Query optimization techniques
- 49:00Aggregation and analytics
- 55:31Real-time data synchronization
- 59:51Aliases and versioning
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