QUERY CLASSIFICATION AND PROCESSING USING NEURAL NETWORK BASED MACHINE LEARNING

    公开(公告)号:US20210224275A1

    公开(公告)日:2021-07-22

    申请号:US16747919

    申请日:2020-01-21

    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.

    Query classification and processing using neural network based machine learning

    公开(公告)号:US11455306B2

    公开(公告)日:2022-09-27

    申请号:US16747919

    申请日:2020-01-21

    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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