Deploying a Steered Query Optimizer in Production at Microsoft

Author:

Zhang Wangda1,Interlandi Matteo2,Mineiro Paul2,Qiao Shi2,Ghazanfari Nasim2,Lie Karlen2,Friedman Marc2,Hosn Rafah1,Patel Hiren2,Jindal Alekh2

Affiliation:

1. Microsoft, New York, NY, USA

2. Microsoft, Redmond, WA, USA

Publisher

ACM

Reference43 articles.

1. Alekh Agarwal Sarah Bird Markus Cozowicz Luong Hoang John Langford Stephen Lee Jiaji Li Dan Melamed Gal Oshri Oswaldo Ribas etal 2016. Making contextual decisions with low technical debt. arXiv preprint arXiv:1606.03966 (2016). Alekh Agarwal Sarah Bird Markus Cozowicz Luong Hoang John Langford Stephen Lee Jiaji Li Dan Melamed Gal Oshri Oswaldo Ribas et al. 2016. Making contextual decisions with low technical debt. arXiv preprint arXiv:1606.03966 (2016).

2. Alekh Agarwal , Daniel Hsu , Satyen Kale , John Langford , Lihong Li , and Robert Schapire . 2014 . Taming the monster: A fast and simple algorithm for contextual bandits . In International Conference on Machine Learning. PMLR, 1638--1646 . Alekh Agarwal, Daniel Hsu, Satyen Kale, John Langford, Lihong Li, and Robert Schapire. 2014. Taming the monster: A fast and simple algorithm for contextual bandits. In International Conference on Machine Learning. PMLR, 1638--1646.

3. Database tuning advisor for microsoft SQL server 2005

4. Remmelt Ammerlaan , Gilbert Antonius , Marc Friedman , HM Sajjad Hossain , Alekh Jindal, Peter Orenberg, Hiren Patel, Shi Qiao, Vijay Ramani, Lucas Rosenblatt, et al. 2021 . PerfGuard: deploying ML-for-systems without performance regressions, almost! Proceedings of the VLDB Endowment , Vol. 14 , 13 (2021), 3362--3375. Remmelt Ammerlaan, Gilbert Antonius, Marc Friedman, HM Sajjad Hossain, Alekh Jindal, Peter Orenberg, Hiren Patel, Shi Qiao, Vijay Ramani, Lucas Rosenblatt, et al. 2021. PerfGuard: deploying ML-for-systems without performance regressions, almost! Proceedings of the VLDB Endowment, Vol. 14, 13 (2021), 3362--3375.

5. Microsoft Azure. [n.d.]. Azure Data Factory. https://azure.microsoft.com/en-us/services/data-factory/#overview . Microsoft Azure. [n.d.]. Azure Data Factory. https://azure.microsoft.com/en-us/services/data-factory/#overview .

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