Learning modern Java the playful way
summary
Live demo builds an image search pipeline: use multimodal encoder (Gina) to create vector embeddings (1,000 floats), index filenames and embeddings into Elasticsearch, view in Kibana, and run hybrid text+vector search ranked with RRF. Code shows replacing CompletableFuture churn with structured task scope, using mapConcurrent with virtual threads for parallel mapping, lazy constants for HTTP client creation, and vector/Panama math that often halves runtime on SIMD-friendly ops; demos mostly run live and the example repo and slides are linked via QR.
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chapters (12)
- 0:00Introduction and setup
- 7:10State of modern Java
- 10:55Compact source files
- 13:45Search demo and records
- 20:47Module imports and stream gatherers
- 24:20Concurrent mapping
- 28:03Structured concurrency
- 34:20Lazy constants
- 36:18Markdown and ecosystem updates
- 40:29Primitive pattern matching
- 42:53Vector API performance
- 48:24Conclusion and resources
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