Spring Data Postroitel (Spark it!)
summary
A walk-through of how Spring Data works by building a minimal custom implementation that mimics its features. The talk examines Spring Data’s patterns for repositories and starters, then demonstrates creating a new Spring Data-style starter for Apache Spark (adding a Spark-backed repository) to learn the framework internals.
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chapters (14)
- 0:00Introduction
- 1:09Talk overview
- 5:07Spring Data principles
- 29:59Dynamic class generation
- 1:09:36Spring context issues
- 1:33:00Method signatures
- 2:09:14Factory internals
- 2:33:00Data Extractor
- 3:03:00Spider creation
- 3:33:00System demo
- 4:03:00Lazy collections
- 4:33:00Data post-processing
- 4:59:28Spring Data loggers
- 5:14:52Q&A
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