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    MODULE EXPIRATION MANAGEMENT
    14.
    发明申请
    MODULE EXPIRATION MANAGEMENT 有权

    公开(公告)号：US20210406247A1

    公开(公告)日：2021-12-30

    申请号：US17469767

    申请日：2021-09-08

    Applicant: Palantir Technologies Inc.

    Inventor： Jonathan Lafleche ,  Justin Uang ,  Onur Satici ,  Yifei Huang ,  Ovidiu-Dan Sanduleac ,  Lawrence Manning

    IPC: G06F16/23 ,  G06F16/21

    Abstract: Systems, methods, and non-transitory computer readable media are provided for managing expiration of modules. An expiry dataset may be maintained. The expiry dataset may include a set of identifiers corresponding to a set of modules, a set of expiry values for the set of modules, and a set of termination tasks for the set of modules. A request to refresh a module may be received from a client. Responsive to the reception of the request, an expiry value and a termination task for the module within the expiry dataset may be updated. The expiry value may be independent of a timestamp associated with the request.

    Module expiration management
    15.
    发明授权
    Module expiration management 有权

    公开(公告)号：US11120007B2

    公开(公告)日：2021-09-14

    申请号：US16252363

    申请日：2019-01-18

    Applicant: Palantir Technologies Inc.

    Inventor： Jonathan Lafleche ,  Justin Uang ,  Onur Satici ,  Yifei Huang ,  Ovidiu-Dan Sanduleac ,  Lawrence Manning

    IPC: G06F17/00 ,  G06F16/23 ,  G06F16/21

    Abstract: Systems, methods, and non-transitory computer readable media are provided for managing expiration of modules. An expiry dataset may be maintained. The expiry dataset may include a set of identifiers corresponding to a set of modules, a set of expiry values for the set of modules, and a set of termination tasks for the set of modules. A request to refresh a module may be received from a client. Responsive to the reception of the request, an expiry value and a termination task for the module within the expiry dataset may be updated. The expiry value may be independent of a timestamp associated with the request.

    MODULE EXPIRATION MANAGEMENT
    16.
    发明申请
    MODULE EXPIRATION MANAGEMENT 审中-公开

    公开(公告)号：US20200167333A1

    公开(公告)日：2020-05-28

    申请号：US16252363

    申请日：2019-01-18

    Applicant: Palantir Technologies Inc.

    Inventor： Jonathan Lafleche ,  Justin Uang ,  Onur Satici ,  Yifei Huang ,  Ovidiu-Dan Sandulec ,  Lawrence Manning

    IPC: G06F16/23 ,  G06F16/21

    Abstract: Systems, methods, and non-transitory computer readable media are provided for managing expiration of modules. An expiry dataset may be maintained. The expiry dataset may include a set of identifiers corresponding to a set of modules, a set of expiry values for the set of modules, and a set of termination tasks for the set of modules. A request to refresh a module may be received from a client. Responsive to the reception of the request, an expiry value and a termination task for the module within the expiry dataset may be updated. The expiry value may be independent of a timestamp associated with the request.

    Dynamically performing data processing in a data pipeline system
    18.
    发明授权
    Dynamically performing data processing in a data pipeline system 有权

    公开(公告)号：US11314698B2

    公开(公告)日：2022-04-26

    申请号：US16208435

    申请日：2018-12-03

    Applicant: Palantir Technologies, Inc.

    Inventor： Hao Dang ,  Gustav Brodman ,  Yi Xue ,  Stacey Milspaw ,  Yifei Huang ,  Yanran Lu

    IPC: G06F16/182 ,  G06F16/2455 ,  G06F16/25 ,  G06F16/23 ,  G06F9/455

    Abstract: Techniques for automatically scheduling builds of derived datasets in a distributed database system that supports pipelined data transformations are described herein. In an embodiment, a data processing method comprises, in association with a distributed database system that implements one or more data transformation pipelines, each of the data transformation pipelines comprising at least a first dataset, a first transformation, a second derived dataset and dataset dependency and timing metadata, detecting an arrival of a new raw dataset or new derived dataset; in response to the detecting, obtaining from the dataset dependency and timing metadata a dataset subset comprising those datasets that depend on at least the new raw dataset or new derived dataset; for each member dataset in the dataset subset, determining if the member dataset has a dependency on any other dataset that is not yet arrived, and in response to determining that the member dataset does not have a dependency on any other dataset that is not yet arrived: initiating a build of a portion of the data transformation pipeline comprising the member dataset and all other datasets on which the member dataset is dependent, without waiting for arrival of other datasets.

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