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Awesome GitHub RepositoriesPartition-Aware Task Executors
Executors that offload processing tasks while maintaining partition-level locks to ensure data consistency.
Distinct from Blocking Task Offloaders: Distinct from Blocking Task Offloaders: focuses on partition-aware execution that respects data locks, rather than general thread offloading.
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Awesome Partition-Aware Task Executors GitHub Repositories
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- hazelcast/hazelcast
hazelcast/hazelcast
6,570عرض على GitHubHazelcast 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
Increases throughput by offloading processing tasks while maintaining key locks on data partitions.
Javabig-datacachingdata-in-motion
