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Showing 1 to 5 of 5 for “"TPC-DS"”.

  1. Automatic knobs-tuning for DB2 using deep reinforcement learning

    Modern database management systems have hundreds of different configuration parameters (knobs) that control various aspects of how they behave and perform. These knobs must be properly tuned in order to maximize the performance of the database for a given query workload. Traditionally, database …

    uoit Repository record for Automatic knobs-tuning for DB2 using deep reinforcement learning (opens in a new tab)

  2. Query Generation for Database Testing Via Machine Learning

    … plans contain the user-defined patterns. On TPC-H, QueryMorpher achieves a target-pattern rate of 0.6 vs 0.4 for the best baseline, while maintaining 10% higher plan diversity under the same budget. On TPC-DS, QueryMorpher achieves similar improvements, indicating that QueryMorpher is stable …

    york Repository record for Query Generation for Database Testing Via Machine Learning (opens in a new tab)

  3. Fundamentals and applications of order dependencies

    … when the optimizer can also reason over known ODs to infer new ones. Order dependencies can be declared as integrity constraints, and they can be detected automatically for many types of SQL functions and algebraic expressions. We present optimization techniques using ODs for queries that …

    york Repository record for Fundamentals and applications of order dependencies (opens in a new tab)

  4. Uma metodologia baseada em grafos para detecção de redundância estrutural em Arquiteturas Data Mesh

    … ou baseadas em benchmarks consolidados, como o TPC-DS, além de oferecer recursos para a execução controlada de experimentos, a compara ção entre algoritmos e a análise de métricas como tempo de execução (ET), acurácia (ACC) e frequência de sucesso (SF). Dois estudos de caso ilustraram a …

    brazil-ufpe Repository record for Uma metodologia baseada em grafos para detecção de redundância estrutural em Arquiteturas Data Mesh (opens in a new tab)

  5. A Comparison of Leading Database Storage Engines in Support of Online Analytical Processing in an Open Source Environment

    <p>Online Analytical Processing (OLAP) has become the de facto data analysis technology used in modern decision support systems. It has experienced tremendous growth, and is among the top priorities for enterprises. Open source systems have become an effective alternative to proprietary systems in …

    etsu Repository record for A Comparison of Leading Database Storage Engines in Support of Online Analytical Processing in an Open Source Environment (opens in a new tab)