GitHub user lzh010817 created a discussion: Proposal for Integrating Redis
Distributed Cache alongside Caffeine for Enhanced Scalability and Consistency
I would like to initiate a discussion regarding the potential integration
of Redis-based distributed caching to complement the existing Caffeine local
cache. While Caffeine excels in providing low-latency, in-memory caching for
single-node deployments, Gravitino may benefit from a distributed caching layer
to address challenges in high-concurrency scenarios and multi-node
environments.
**Key Considerations for Redis Integration:**
1. **Scalability & Horizontal Expansion:**
As Gravitino scales horizontally, node-specific local caches (e.g.,
Caffeine) may lead to data inconsistency during node restarts or parallel
operations. Redis, as a distributed cache, could ensure consistent metadata
access across all nodes, reducing redundant backend queries and improving
throughput.
2. Cache Consistency & Fault Tolerance:
Redis offers features like persistence, replication, and automatic
failover, which mitigate risks of cache loss during node failures. This aligns
with Gravitino’s need for reliable metadata management in distributed setups.
3. Performance Optimization:
While Caffeine provides nanosecond-level access latency, Redis can handle
cross-node cache synchronization with minimal latency penalties using
pipelining and cluster-mode operations. For frequently accessed metadata (e.g.,
catalog details), Redis could serve as a shared L2 cache, while Caffeine
remains the L1 node-local cache.
4. Implementation Approach:
4.1 Introduce a cache abstraction layer to support pluggable cache
providers (e.g., Caffeine for local, Redis for distributed).
4.2 Lever Redis Cluster for high availability and cache strategies to
preload hot metadata on startup.
4.3 Use key-based expiration and invalidation policies to ensure data
freshness across nodes.
**Open Questions for Community Feedback:**
- Are there specific use cases in Gravitino where distributed caching would
provide the most value (e.g., multi-region deployments, frequent schema
updates)?
- How might we balance the trade-offs between added infrastructure complexity
(Redis cluster management) and performance gains?
- Would a hybrid cache architecture (Caffeine + Redis) be feasible, and what
strategies could optimize cache coherence?
I believe exploring Redis integration could strengthen Gravitino’s performance
in distributed environments while maintaining backward compatibility. Looking
forward to your insights and collaboration!
GitHub link: https://github.com/apache/gravitino/discussions/8480
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