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.

公开(公告)号：US20240378181A1

公开(公告)日：2024-11-14

申请号：US18144647

申请日：2023-05-08

Applicant: Databricks, Inc.

Inventor： Vijayan Prabhakaran ,  Himanshu Raja ,  Rahul Potharaju ,  Naga Raju Bhanoori ,  Lin Ma ,  Rajesh Parangi Sharabhalingappa ,  Jintian Liang ,  Zach Schuermann ,  Kam Cheung Ting

IPC: G06F16/21 ,  G06F11/34 ,  G06F16/22

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.

公开(公告)号：US12204510B2

公开(公告)日：2025-01-21

申请号：US18144647

申请日：2023-05-08

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

IPC: G06F16/21 ,  G06F11/34 ,  G06F16/22

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.