Ten Thousand SQLs: Parallel Keyword Queries Computing
Summary: Keyword queries in RDBMS are implemented as thousands of SQLs (CNs); this work explores multicore parallelization of CN generation and CN evaluation. Proposes three approaches: query-level SQL distribution, operation-level cost re-estimation, and adaptive partitioning to reduce partitioning cost and skew; tested on DBLP and IMDB. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Lu Qin
- 2. Jeffrey Xu Yu
- 3. Lijun Chang
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