Distributed Graph Database Design
Design a distributed graph database capable of handling billions of nodes and edges for high-concurrency OLTP workloads. The system must support low-latency k-hop traversals (e.g., social graphs, knowledge graphs) and ensure data durability and high availability. Address specific challenges including the 'super-node' problem, efficient data partitioning strategies to minimize network hops during traversals, and the trade-offs between consistency and performance in a distributed environment.
RocksDBRaftEtcdRedisgRPCCypherLSM-treeKubernetes
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