公开(公告)号：US20180329921A1

公开(公告)日：2018-11-15

申请号：US15533966

申请日：2015-11-26

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.

Inventor： Yingfei Xue ,  Chunbo Lai ,  Pu Wang ,  Bo Zhao ,  Feng Zheng

IPC: G06F17/30 ,  G06F3/06

CPC classification number: G06F17/30153 ,  G06F3/0608 ,  G06F3/064 ,  G06F3/0673 ,  G06F17/30 ,  G06F17/30321 ,  G06F17/30551

Abstract: The present application discloses a method and apparatus for storing time series data. A specific implementation of the method for storing time series data comprising: saving an index value of time series data to a time interval data table according to a time point of the time series data, wherein the time series data includes the following information: a time point and an index value associated with the time point, each data row in the time interval data table records index values associated with at least one time point within a time interval of a predetermined length, the time points are spaced by a predetermined time length, each time point occupies one storage area of a memory, each storage area includes a predetermined quantity of bytes, and the index value associated with each time point is filled in the storage area occupied by the time point; performing data compression processing on a storage area having no written data, to obtain compressed time interval data; and writing the compressed time interval data to a magnetic disk. This implementation reduces the occupation of the storage space of the magnetic disk.

公开(公告)号：US11182445B2

公开(公告)日：2021-11-23

申请号：US16054365

申请日：2018-08-03

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Chen Li ,  Di Jiang ,  Xinyu Wang ,  Yibin Wei ,  Pu Wang ,  Jingzhou He

IPC: G06F16/95 ,  G06F16/9535 ,  G06N3/08 ,  G06F16/242 ,  G06F16/2452 ,  G06F16/332

Abstract: Embodiments of the present disclosure disclose a method, an apparatus, a server, and a storage medium for recalling for a search. The method for recalling for a search includes: acquiring a search term inputted by a user; calculating a semantic vector of the search term using a pre-trained neural network model; and recalling, according to a pre-established index, target documents related to the semantic vector of the search term from candidate documents, the index being established based on the semantic vectors of the candidate documents, and the semantic vectors of the candidate documents being calculated using the pre-trained neural network model. The embodiments of the present disclosure may solve a problem in the existing method for recalling that the recalling accuracy is affected by failing to generalize semantics, to improve the accuracy of recalling for a search.

公开(公告)号：US20180150536A1

公开(公告)日：2018-05-31

申请号：US15533955

申请日：2015-11-27

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.

Inventor： Chunbo Lai ,  Yingfei Xue ,  Pu Wang ,  Bo Zhao

IPC: G06F17/30

CPC classification number: G06F16/27 ,  G06F16/2246

Abstract: The present application discloses an instance-based distributed data recovery method. A specific implementation of the method includes: detecting a non-master down node; allocating multiple secondary storage units corresponding to the down node to at least one online node; performing hash grouping on instances stored on logs and allocating the instances to multiple threads; and recovering data of multiple primary storage units in parallel inside the online node. Embodiments of the present invention recover data of a down node in a distributed database in parallel in nodes.

公开(公告)号：US10606806B2

公开(公告)日：2020-03-31

申请号：US15533966

申请日：2015-11-26

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.

Inventor： Yingfei Xue ,  Chunbo Lai ,  Pu Wang ,  Bo Zhao ,  Feng Zheng

IPC: G06F16/00 ,  G06F16/174 ,  G06F16/22 ,  G06F16/2458 ,  G06F3/06

Abstract: A method and apparatus for storing time series data are disclosed. A method may include: saving an index value of time series data to a time interval data table according to a time point of the time series data, wherein the time series data includes: a time point and an index value associated with the time point, and each data row in the time interval data table records index values associated with at least one time point within a time interval of a predetermined length; performing data compression processing on a storage area having no written data, to obtain compressed time interval data; and writing the compressed time interval data to a magnetic disk.

公开(公告)号：US10783163B2

公开(公告)日：2020-09-22

申请号：US15533955

申请日：2015-11-27

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.

Inventor： Chunbo Lai ,  Yingfei Xue ,  Pu Wang ,  Bo Zhao

IPC: G06F16/00 ,  G06F16/27 ,  G06F16/22

Abstract: The present application discloses an instance-based distributed data recovery method. A specific implementation of the method includes: detecting a non-master down node; allocating multiple secondary storage units corresponding to the down node to at least one online node; performing hash grouping on instances stored on logs and allocating the instances to multiple threads; and recovering data of multiple primary storage units in parallel inside the online node. Embodiments of the present invention recover data of a down node in a distributed database in parallel in nodes.