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公开(公告)号:US20210224275A1
公开(公告)日:2021-07-22
申请号:US16747919
申请日:2020-01-21
Applicant: Oracle International Corporation
Inventor: Arvind Kumar Maheshwari , Vamshidhar Reddy Pasham , Shantanu Mahajan , Debottam Kundu
IPC: G06F16/2453 , G06F16/28 , G06N3/08 , G06N3/04
Abstract: Techniques are described herein for leveraging recurrent neural networks for query processing. In some embodiments, a query analytic system determines a sequence of tokens for at least a portion of a query and determines a vector representation for each token. The query analytic system further generates, using a neural network based on the sequence of tokens, a performance prediction associated with executing at least the portion of the query, wherein the neural network assigns at least a first weight for at least a first token in the sequence of tokens based at least in part on at least a second token that preceded the token in the sequence. The query analytic system further triggers a responsive action, such as triggering an alert and/or tuning the query, based at least in part on the performance prediction.
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公开(公告)号:US11455306B2
公开(公告)日:2022-09-27
申请号:US16747919
申请日:2020-01-21
Applicant: Oracle International Corporation
Inventor: Arvind Kumar Maheshwari , Vamshidhar Reddy Pasham , Shantanu Mahajan , Debottam Kundu
IPC: G06F16/2453 , G06N3/04 , G06F16/28 , G06N3/08
Abstract: Techniques are described herein for leveraging recurrent neural networks for query processing. In some embodiments, a query analytic system determines a sequence of tokens for at least a portion of a query and determines a vector representation for each token. The query analytic system further generates, using a neural network based on the sequence of tokens, a performance prediction associated with executing at least the portion of the query, wherein the neural network assigns at least a first weight for at least a first token in the sequence of tokens based at least in part on at least a second token that preceded the token in the sequence. The query analytic system further triggers a responsive action, such as triggering an alert and/or tuning the query, based at least in part on the performance prediction.
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