Optimizing Big-Data Queries Using Program Synthesis
Author:
Affiliation:
1. TU Wien, Vienna, Austria
2. Microsoft Research, Bangalore, India
3. MIT CSAIL, Cambridge, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3132747.3132773
Reference30 articles.
1. Spark SQL
2. Partitioned optimization of complex queries
3. Optimizing database-backed applications with query synthesis
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1. HAP: SPMD DNN Training on Heterogeneous GPU Clusters with Automated Program Synthesis;Proceedings of the Nineteenth European Conference on Computer Systems;2024-04-22
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3. Predicate Pushdown for Data Science Pipelines;Proceedings of the ACM on Management of Data;2023-06-13
4. Optimizing Recursive Queries with Progam Synthesis;Proceedings of the 2022 International Conference on Management of Data;2022-06-10
5. UDF to SQL translation through compositional lazy inductive synthesis;Proceedings of the ACM on Programming Languages;2021-10-20
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