Advanced (Elastic) Search for Your Legacy Application

on YouTube ↗47m

" summary

Shows how to add Elasticsearch to a Spring Boot + PostgreSQL app by calling the Java client at save time (no ETL) and using the bulk API for ingestion, plus a retry queue for failed index writes; demonstrates an edge n-gram analyzer to fix prefix/typo searches and uses Kibana for aggregations. Live demo indexes up to one million docs while serving queries, shows sub-10ms search latencies and example throughput numbers (tens of docs/sec then much faster), and confirms Elasticsearch is not transactional.

AI-written summary · about

" chapters (12)

1. 0:00Introduction
2. 1:52Setting up the legacy application demo
3. 8:14Why Elasticsearch
4. 10:00Adding Elasticsearch client
5. 18:52Sync DB with Elasticsearch
6. 22:22Implementing search
7. 31:05Fixing search mapping
8. 36:19Optimizing analyzers
9. 38:29Measuring performance
10. 39:55Aggregations & Kibana
11. 43:07Final demo & summary
12. 45:17Q&A

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