The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 17, 2025

Filed:

Jul. 06, 2023
Applicant:

Databricks, Inc., San Francisco, CA (US);

Inventors:

Prakhar Jain, Sunnyvale, CA (US);

Frederick Ryan Johnson, Otem, UT (US);

Bart Samwel, Oegstgeest, NL;

Assignee:

Databricks, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/20 (2019.01); G06F 16/22 (2019.01); G06F 16/23 (2019.01); G06F 16/245 (2019.01); G06F 16/2453 (2019.01); G06F 16/28 (2019.01);
U.S. Cl.
CPC ...
G06F 16/2246 (2019.01); G06F 16/2358 (2019.01); G06F 16/245 (2019.01); G06F 16/2453 (2019.01); G06F 16/285 (2019.01);
Abstract

A data tree for managing data files of a data table and performing one or more transaction operations to the data table is described. The data tree is configured as a KD-epsilon tree and includes a plurality of nodes and edges. A node of the data tree may represent a splitting condition with respect to key-values for a respective key. A leaf node of the data tree may correspond to a data file for a data table that includes a subset of records having key-values that satisfy the condition for the node and conditions associated with parent nodes of the node. A parent node may correspond to a file including a buffer that stores changes to data files reachable by this parent node, and also includes dedicated storage to pointers of the child nodes. By using the data tree, the data processing system may efficiently cluster the data in the data table while reducing the number of data files that are rewritten.


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