Apr 12, 2022 · We propose a SQL query cost predictor service, which employs machine learning techniques to train models from historical query request logs and ...
Apr 12, 2022 · We propose a SQL query cost predictor service, which employs machine learning techniques to train models from historical query request logs.
We propose a SQL query cost predictor service, which employs machine learning techniques to train models from historical query request logs.
Nov 5, 2021 · With machine learning techniques, we developed a SQL-query-cost prediction system to accurately (>97%) forecast the CPU time and peak memory ...
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The answers are yes. We propose a SQL query cost predictor service, which employs machine learning techniques to train models from historical query request logs ...
Similarly, Twitter's hybrid-cloud SQL federation system addresses tens of thousands of queries each day, involving roughly 10 PB of data [25] . Additionally, ...
Dec 1, 2021 · Bibliographic details on Forecasting SQL Query Cost at Twitter.
Nov 17, 2023 · I am looking for a generic and fast strategy to predict the outcome of a query. Queries can be complex, and the table can be huge, ...
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Machine learning can be used to anticipate costs for a certain setting. The study Tang et al. (2021) concentrates on Twitter to forecast the cost for questions.
It contains a machine learning pipeline for the model training/evaluation and a query predictor web service to predict CPU and memory usages of Presto queries.