Concepedia

Physical Query Optimization

Physical Query Optimization is a query optimization technique that belongs to the class of physical execution planning methods, specifically distinguished by its focus on selecting the most efficient low-level execution strategies—such as index usage, join algorithms, and data access paths—based on cost estimation and database system characteristics.

20

Publications

997

Citations

66

Authors

27

Institutions

Publications per year

2017–2026

3

Parents

Publications

20

Physical database design for relational databases

Sheldon J. Finkelstein, Mario Schkolnick, Paolo Tiberio · ACM Transactions on Database Systems · 1988 · 227 citations · Full text

, , +17

Automatic physical database tuning

Nicolas Bruno, Surajit Chaudhuri · 2005 · 179 citations

, , +16

Automatic physical design tuning

Sanjay Agrawal, Eric Chu, Vivek Narasayya · 2006 · 94 citations

, , +14

Pessimistic Cardinality Estimation

Walter Cai, Magdalena Bałazińska, Dan Suciu · 2019 · 77 citations · Full text

, , +15

CliffGuard

Barzan Mozafari, Eugene Zhen Ye Goh, Dong Young Yoon · 2015 · 40 citations

, , +17

1–5 of 20

Authors

66

  1. NB
    Nicolas Bruno

    Microsoft (United States), United States

    3 publications · 242 citations

    3

    h-index

  2. VN
    Vivek Narasayya

    Microsoft (United States), United States

    2 publications · 119 citations

    2

    h-index

  3. SC
    Surajit Chaudhuri

    Microsoft (United States), United States

    2 publications · 204 citations

    2

    h-index

  4. IA
    Ioannis Alagiannis

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 43 citations

    2

    h-index

  5. AA
    Anastasia Ailamaki

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 43 citations

    2

    h-index

1–5 of 66

Institutions

27

  1. Microsoft Research (United Kingdom)

    Cambridge, United Kingdom

    4 h-index

    20 publications

    966 citations

  2. Microsoft (United States)

    Redmond, United States

    2 h-index

    3 publications

    226 citations

  3. École Polytechnique Fédérale de Lausanne

    Lausanne, Switzerland

    2 h-index

    8 publications

    175 citations

  4. University of Waterloo

    Waterloo, Canada

    2 h-index

    3 publications

    84 citations

  5. Google (United States)

    Mountain View, United States

    1 h-index

    2 publications

    54 citations

  6. University of Minnesota

    Minneapolis, United States

    1 h-index

    3 publications

    45 citations

  7. National and Kapodistrian University of Athens

    Athens, Greece

    1 h-index

    1 publications

    16 citations

  8. University of Pennsylvania

    Philadelphia, United States

    1 h-index

    1 publications

    31 citations

1–8 of 27

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 43 citations

    2

    h-index

  2. Very Large Data Bases

    Conference · 2 publications · 72 citations

    2

    h-index

  3. Information & Management

    1 publications · 15 citations

    1

    h-index

  4. ACM Transactions on Database Systems

    TODS · 1 publications · 227 citations

    1

    h-index

  5. Synthesis lectures on data management

    1 publications · 29 citations

    1

    h-index

1–5