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Applies processing logic to map entries that match a specified predicate for targeted operations.
Distinct from Bulk Map Update Operations: Distinct from Bulk Map Update Operations: focuses on the filtering mechanism used to select entries for operations, rather than the bulk update operation itself.
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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
Applies processing logic only to map entries that match a specified predicate, allowing for targeted bulk updates or deletions.