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Dynamic Speculative Optimizations for SQL Compilation in Apache Spark

Summary: Dynamic speculative optimizations for Spark SQL compilation via runtime profiling and adaptive codegen to reduce data access and deserialization overhead on textual formats. Achieves up to 4.4x speedups on TPC-H with CSV/JSON, illustrating a unique runtime-driven codegen approach for Spark. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12272
Venue
VLDB
Year
2020
Pagerank
4.391961e-05
Overall Rank
9,124 | 36.53%
DOI
10.14778/3377369.3377382

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