This paper introduces novel optimization methods for top-k aggregation queries in such distributed environments that can be applied to all algorithms that fall ...
Apr 25, 2024 · This paper introduces novel optimization methods for top-k aggregation queries in such distributed environments that can be applied to all ...
Dec 12, 2024 · Snowflake optimizes Top-K Aggregation queries to improve efficiency, reduce compute costs, and speed up insights by filtering nonessential ...
This paper addresses the efficient algebraic optimization of top-k queries in wide-area distributed data re- positories where the index lists for the attribute ...
Feb 3, 2023 · The key here is to find the top- K repeatedly, where each time you make K the largest value satisfying the original assumption.
In this paper, we summarize several semantics of top-k queries on uncertain data and propose an optimized algorithm DMPUTop-k for processing most probable ...
This paper introduces novel optimization methods for top-k aggregation queries in such distributed environments that can be applied to all algorithms that fall ...
This approach has a direct impact on query processing and optimization. Specifically, query operators are modified to be rank-aware.
Top-k query processing is an important building block for ranked retrieval, with applications ranging from text and data integration to distributed aggregation ...
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What is query optimization in distributed system?
What is top k query?
This paper presents a new algorithm to answer top-k queries (e.g. “find the k objects with the highest ag- gregate values”) in a distributed network.