1 dépôt
Awesome GitHub RepositoriesPartial Data Accessors
Mechanisms for retrieving specific fields from serialized data without full object deserialization.
Distinct from Data Access and Querying: Distinct from Data Access and Querying: focuses on the performance optimization of partial field extraction from binary blobs rather than general query interfaces.
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Awesome Partial Data Accessors GitHub Repositories
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- hazelcast/hazelcast
hazelcast/hazelcast
6,570Voir sur 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
Improves query performance by deserializing individual fields directly from binary data.
Javabig-datacachingdata-in-motion
