Working with Sharded In-memory Data with a Spring Data Flavor

on YouTube ↗01h 14m

" summary

Shows how to implement a custom Spring Data connector for an in-memory distributed datastore (Tarantool), describing the connector design, performance pitfalls that can appear with sharded data and which techniques to use to address them. Focuses on diving into Spring Data internals and practical details of integrating with a NoSQL distributed store.

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" chapters (8)

1. 0:00Introduction
2. 3:40Spring Data overview
3. 10:26Scaling data storage challenges
4. 17:05Sharding strategies
5. 23:06Spring Data repositories
6. 36:40Repository method resolution
7. 51:04Dual storage with repositories
8. 1:09:17Q&A

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