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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
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.
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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
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.
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公开(公告)号：US20250131118A1
公开(公告)日：2025-04-24
申请号：US18958728
申请日：2024-11-25
Applicant: Databricks, Inc.
Inventor： Matei Zaharia , Shixiong Zhu , Xiaotong Sun , Ramesh Chandra , Michael Paul Armbrust , Ali Ghodsi
Abstract: The present application discloses a method, system, and computer system for providing access to data. The method includes receiving, by a data manager service from a data requesting service, a request using an identifier for a high-level data object to access a set of data associated with the high-level data object, determining, by the data manager service, low-level data object(s) corresponding to the set of data based on the identifier for the high-level data object, determining whether a user associated with the request has permission to access at least a subset of the low-level data object(s), and in response to determining that the user associated has permission to access the at least the subset of the low-level data object(s), generating, by the data manager service, a uniform resource locator (URL) via which the at least the subset of the one or more low-level data objects is accessible by the user.
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公开(公告)号：US20250130981A1
公开(公告)日：2025-04-24
申请号：US18986345
申请日：2024-12-18
Applicant: Databricks, Inc.
Inventor： Vijayan Prabhakaran , Himanshu Raja , Rahul Potharaju , Naga Raju Bhanoori , Lin Ma , Rajesh Parangi Sharabhalingappa , Jintian Liang , Zachary Vaughn Schuermann , Kam Cheung Ting
Abstract: Disclosed is a configuration for managing the organization of data tables in cloud-based storage. The configuration receives metrics for data processing operations on the data table. Metrics include at least one of a size of the data table, a size of each file in the data table, and metadata describing the data table. The configuration automatically executes a cost-benefit analysis based on the one or more metrics for each candidate maintenance operation in a plurality of candidate maintenance operations. The configuration automatically selects a maintenance operation from the candidate maintenance operations to automate based on the cost-benefit analysis of the one or more candidate maintenance operations. The selected maintenance operation is automated and scheduled on the data table.
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公开(公告)号：US20250124236A1
公开(公告)日：2025-04-17
申请号：US18518155
申请日：2023-11-22
Applicant: Databricks, Inc.
Inventor： Ridhima Gupta , Prithvi Kannan , Sunish Sohil Sheth , Kasey Uhlenhuth , Hubert Zub , Corey Zumar
IPC: G06F40/40 , G06F40/103 , G06F40/30
Abstract: A method for evaluating textual output of one or more machine-learned language models is presented. The method includes receiving, from a user of a client device, a first prompt for input to one or more machine-learned language models, providing the first prompt to the one or more models for execution, and receiving a set of generated responses to the first prompt from the one or more models. The method further includes generating a user interface (UI) on the client device displaying the first prompt and generated responses as a table user interface element. The method applies a selected evaluation function to the generated response to evaluate the response with respect to an evaluation objective and identifies words that influence the evaluation. The method generates one or more UI elements on the UI to display the results of the evaluation for the generated responses.
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Patent Agency Ranking
66.发明授权公开(公告)号：US12260003B1
公开(公告)日：2025-03-25
申请号：US18474708
申请日：2023-09-26
Applicant: Databricks, Inc.
Inventor： William Chau , Abhijit Chakankar , Stephen Michael Mahoney , Daniel Seth Morris , Itai Shlomo Weiss
Abstract: A data processing service facilitates the creation and processing of data processing pipelines that process data processing jobs defined with respect to a set of tasks in a sequence and with data dependencies associated with each separate task such that the output from one task is used as input for a subsequent task. In various embodiments, the set of tasks include at least one cleanroom task that is executed in a cleanroom station and at least one non-cleanroom task executed in an execution environment of a user where each task is configured to read one or more input datasets and transform the one or more input datasets into one or more output datasets.
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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
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.
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68.发明授权公开(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
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.
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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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公开(公告)号：US12189625B2
公开(公告)日：2025-01-07
申请号：US18222343
申请日：2023-07-14
Applicant: Databricks, Inc.
Inventor： Bogdan Ionut Ghit , Saksham Garg , Christian Stuart , Christopher Stevens
IPC: G06F16/24 , G06F16/2453 , G06F16/25 , G06F16/28
Abstract: A multi-cluster computing system which includes a query result caching system is presented. The multi-cluster computing system may include a data processing service and client devices communicatively coupled over a network. The data processing service may include a control layer and a data layer. The control layer may be configured to receive and process requests from the client devices and manage resources in the data layer. The data layer may be configured to include instances of clusters of computing resources for executing jobs. The data layer may include a data storage system, which further includes a remote query result cache Store. The query result cache store may include a cloud storage query result cache which stores data associated with results of previously executed requests. As such, when a cluster encounters a previously executed request, the cluster may efficiently retrieve the cached result of the request from the in-memory query result cache or the cloud storage query result cache.
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