hybridpartition
Hybridpartition is a data partitioning strategy used in distributed systems that combines multiple methods to manage large datasets. It assigns data to partitions using more than one criterion, such as ranges, hashes, and workload-driven re-partitioning, to improve data locality and load balancing. Unlike single-scheme partitioning, it adapts to varying query patterns and data skew while keeping partitions reasonably sized.
Common approaches include coupling range partitioning with hash partitioning, where a range-defined key space is subdivided
Use cases include large-scale data warehouses needing fast lookups on a subset of data while scanning others,
Challenges include cross-partition queries, repartitioning decisions, metadata overhead, and potential inconsistency during fast-changing data. Implementations must