Master High‑Performance E‑Commerce Search with Elasticsearch & SpringBoot

This course targets developers with basic coding experience and uses a real‑world e‑commerce scenario to guide you through building a high‑performance, high‑concurrency search engine system.

Core Technologies

Elasticsearch is the core, combined with SpringBoot and related stacks to implement product search, price filtering, autocomplete, fuzzy correction, sales reporting, and more.

Course Modules

Architecture perspective: e‑commerce system functional structure diagram (PDF)

Business perspective: e‑commerce system business process diagram (PDF)

Logical perspective: e‑commerce system logical architecture diagram (PDF)

Service deployment: e‑commerce system service‑side architecture diagram (PDF)

Project initialization with SpringBoot (PDF)

Overall project segmentation (PDF)

ElasticSearch environment setup with SpringBoot (PDF)

ElasticSearch basics: distributed search engine principles, architecture, data modeling, performance optimization (PDF)

Hands‑on: CRUD operations with Elasticsearch and Kibana (PDF)

Technology selection: Elasticsearch Java API vs Rest Client API (PDF)

Integration of Elasticsearch dependencies (PDF)

Initial search engine concepts: inverted and forward indexes (PDF)

Mapping fundamentals (PDF)

Practical exercises: building product search, price range filter, sorting, highlighting, fuzzy correction, autocomplete, bulk API for massive data, index alias for zero‑downtime reindexing, etc. (PDF)

Task scheduling with XXL‑Job (PDF)

Order workflow, order query, and real‑time search principles (PDF)

Data visualization with Kibana dashboards (PDF)

Final project: complete e‑commerce search system and evaluate capabilities (PDF)

By the end of the course you will be able to design, develop, and deploy enterprise‑level search and recommendation features for large‑scale internet e‑commerce platforms.