Napa - Adaptive Partitioning for Distributed Queries

Efficient query execution in distributed data warehouses depends on how well the workload is balanced across nodes. Napa improves performance by dynamically partitioning data at query time, adapting to each query’s needs instead of relying on fixed partitions. It uses a progressive approach designed to be “good enough” thereby balancing partitioning time and performance. A typical data warehouse…