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    SPLIT FRONT END FOR FLEXIBLE BACK END CLUSTER PROCESSING
    62.
    发明申请
    SPLIT FRONT END FOR FLEXIBLE BACK END CLUSTER PROCESSING 审中-公开

    公开(公告)号：US20200073644A1

    公开(公告)日：2020-03-05

    申请号：US16119802

    申请日：2018-08-31

    Applicant: Databricks Inc.

    Inventor： Srinath Shankar ,  Eric Keng-hao Liang ,  Gregory George Owen

    IPC: G06F8/41 ,  G06F8/54 ,  G06F8/70 ,  G06F11/36 ,  G06F11/07 ,  G06F17/30 ,  G06F21/62

    Abstract: A system for code development and execution includes a client interface and a client processor. The client interface is configured to receive user code for execution and receive an indication of a server that will perform the execution. The client processor is configured to parse the user code to identify one or more data items referred to during the execution. The client processor is also configured to provide the server with an inquiry for metadata regarding the one or more data items, receive the metadata regarding the one or more data items, determine a logical plan based at least in part on the metadata regarding the one or more data items; and provide the logical plan to the server for execution.

    Independent data processing environments within a big data cluster system
    63.
    发明授权
    Independent data processing environments within a big data cluster system 有权

    公开(公告)号：US09959337B2

    公开(公告)日：2018-05-01

    申请号：US15485952

    申请日：2017-04-12

    Applicant: Databricks Inc.

    Inventor： Ali Ghodsi ,  Ion Stoica

    IPC: G06F9/46 ,  G06F17/30 ,  G06F9/50

    CPC classification number: G06F17/30598 ,  G06F9/5033 ,  G06F9/5072 ,  G06F2209/505

    Abstract: A cluster system includes an interface and a processor. The interface is to receive a request from a user associated with one of a plurality of shells. The processor is to determine a plurality of tasks to respond to the request; determine a local set of data and a shared set of data for a task of the plurality of tasks, wherein the local set of data is associated with the one of the plurality of shells; and provide the task, a local set indication, and a shared set indication to a worker associated with the task, wherein the local set indication refers to the local set of data and the shared set indication refers to the shared set of data.

    System for exploring data in a database
    65.
    发明授权
    System for exploring data in a database 有权

    公开(公告)号：US09760602B1

    公开(公告)日：2017-09-12

    申请号：US14621950

    申请日：2015-02-13

    Applicant: Databricks Inc.

    Inventor： Ali Ghodsi ,  Ion Stoica ,  Matei Zaharia

    IPC: G06F7/00 ,  G06F17/30

    CPC classification number: G06F17/30424 ,  G06F17/30389

    Abstract: A system for exploring data in a database comprises a query parser, a parameter manager, a query submitter, and a result formatter. The query parser is to receive a base query and determine an input parameter from the base query. The parameter manager is to provide a first request for a value for the input parameter; receive the value for the input parameter; and provide a second request for the value for the input parameter. The query submitter is to determine a first query using the base query and the value for the input parameter; and provide an indication to execute the first query. The result formatter is to receive a result associated with the indication to execute the first query.

    Independent data processing environments within a big data cluster system
    66.
    发明授权
    Independent data processing environments within a big data cluster system 有权

    公开(公告)号：US09659081B1

    公开(公告)日：2017-05-23

    申请号：US14824989

    申请日：2015-08-12

    Applicant: Databricks Inc.

    Inventor： Ali Ghodsi ,  Ion Stoica

    IPC: G06F9/46 ,  G06F17/30 ,  G06F9/50

    CPC classification number: G06F17/30598 ,  G06F9/5033 ,  G06F9/5072 ,  G06F2209/505

    Abstract: A cluster system includes an interface and a processor. The interface is to receive a request from a user associated with one of a plurality of shells. The processor is to determine a plurality of tasks to respond to the request; determine a local set of data and a shared set of data for a task of the plurality of tasks, wherein the local set of data is associated with the one of the plurality of shells; and provide the task, a local set indication, and a shared set indication to a worker associated with the task, wherein the local set indication refers to the local set of data and the shared set indication refers to the shared set of data.

    K-D Tree Balanced Splitting
    68.
    发明申请
    K-D Tree Balanced Splitting 有权

    公开(公告)号：US20250086155A1

    公开(公告)日：2025-03-13

    申请号：US18772758

    申请日：2024-07-15

    Applicant: Databricks, Inc.

    Inventor： Bart Samwel ,  Prakhar Jain

    IPC: G06F16/22 ,  G06F16/28

    Abstract: A system for clustering data into corresponding files comprises one or more processors and a memory. The one or more processors is/are configured to: 1) determine to cluster a set of data into a set of files; 2) determine a set of split points in a corresponding set of dimensions of the set of data to determine the set of files, wherein each file of the set of files has an approximate target size; and 3) store one or more items of the set of data into a corresponding file of the set of files based at least in part on the set of split points. The memory is coupled to the one or more processors and configured to provide the processor with instructions.

    Clustering key selection based on machine-learned key selection models for data processing service
    69.
    发明授权
    Clustering key selection based on machine-learned key selection models for data processing service 有权

    公开(公告)号：US12229169B1

    公开(公告)日：2025-02-18

    申请号：US18501830

    申请日：2023-11-03

    Applicant: Databricks, Inc.

    Inventor： Terry Kim ,  Lin Ma ,  Rahul Shivu Mahadev ,  Rahul Potharaju

    IPC: G06F16/28 ,  G06F16/21 ,  G06F16/22

    Abstract: The disclosed configurations provide a method (and/or a computer-readable medium or system) for determining, from a table schema describing keys of a data table, one or more clustering keys that can be used to cluster data files of a data table. The method includes generating features for the data table, generating tokens from the features, generating a prediction for each token by applying to the token a machine-learned transformer model trained to predict a likelihood that the key associated with the token is a clustering key for the data table, determining clustering keys based on the predictions, and clustering data records of the data table into data files based on key-values for the clustering keys.

    Checkpoint and restore based startup of executor nodes of a distributed computing engine for processing queries
    70.
    发明授权
    Checkpoint and restore based startup of executor nodes of a distributed computing engine for processing queries 有权

    公开(公告)号：US12229137B1

    公开(公告)日：2025-02-18

    申请号：US18412438

    申请日：2024-01-12

    Applicant: Databricks, Inc.

    Inventor： Xinyang Ge ,  Lixiang Ao ,  Haonan Jing ,  Aaron Daniel Davidson

    IPC: G06F16/2453

    Abstract: A system performs efficient startup of executors of a distributed computing engine used for processing queries, for example, database queries. The system starts an executor node and processes a set of queries using the executor node to warm up the executor node. The system performs a checkpoint of the warmed-up executor node to create an image. The image is restored in the target executor nodes. The system may store a checkpoint image for each configuration of an executor node. The configuration is determined based on various factors including the hardware of the executor node, memory allocation of the processes, and so on. The user or restore based on checkpoint images improves efficiency of execution of the startup of executor nodes.

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