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Awesome GitHub RepositoriesInitial Load Coordinators
Mechanisms for deferring data initialization until cluster membership requirements are met.
Distinct from Static Data Loading: Distinct from Static Data Loading: focuses on cluster-wide coordination of data loading based on member availability rather than just loading static files.
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Awesome Initial Load Coordinators GitHub Repositories
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- hazelcast/hazelcast
hazelcast/hazelcast
6,570在 GitHub 上查看Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis
Defers the loading of data from external stores until a minimum number of cluster members are active.
Javabig-datacachingdata-in-motion
