Amazon technologies, inc. (20240211461). CUSTOMER-REQUESTED PARTITIONING OF JOURNAL-BASED STORAGE SYSTEMS simplified abstract

CUSTOMER-REQUESTED PARTITIONING OF JOURNAL-BASED STORAGE SYSTEMS

Organization Name

amazon technologies, inc.

Inventor(s)

Timothy Daniel Cole of Seattle WA (US)

John Michael Morkel of Seattle WA (US)

Tate Andrew Certain of Seattle WA (US)

Christopher Richard Jacques De Kadt of Seattle WA (US)

Artem Danilov of Kirkland WA (US)

Andrew Wayne Ross of Seattle WA (US)

Allan Henry Vermeulen of Corvallis OR (US)

CUSTOMER-REQUESTED PARTITIONING OF JOURNAL-BASED STORAGE SYSTEMS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240211461 titled 'CUSTOMER-REQUESTED PARTITIONING OF JOURNAL-BASED STORAGE SYSTEMS

The abstract describes a patent application for a journal-based multi-data-store database that receives materialization configuration requests from clients via a programmatic interface. These requests specify partitioning rules for selecting materialization nodes to store writes from committed transaction entries in the journal. The database's control plane component verifies the establishment of materialization nodes based on the partitioning rule and initiates the propagation of writes to these nodes through write appliers.

• Simplified Explanation:

The patent application involves a database system that processes requests to store data writes in specific materialization nodes based on partitioning rules.

• Key Features and Innovation:

- Programmatic interface for materialization configuration requests - Partitioning rules for selecting materialization nodes - Verification of established materialization nodes by the control plane component - Propagation of writes to materialization nodes through write appliers

• Potential Applications:

- Data storage and management systems - Distributed databases - Real-time data processing applications

• Problems Solved:

- Efficient data storage and retrieval - Scalability of database systems - Streamlining write operations in multi-data-store environments

• Benefits:

- Improved performance and reliability - Enhanced data organization and retrieval - Simplified management of data writes

• Commercial Applications:

"Optimizing Data Storage in Multi-Data-Store Environments: Enhancing Performance and Scalability"

• Prior Art:

Readers can explore prior art related to journal-based databases, multi-data-store systems, and data partitioning techniques in database management.

• Frequently Updated Research:

Stay updated on advancements in journal-based database technologies, materialization strategies, and distributed data processing methods.

Questions about the technology: 1. How does the materialization configuration process improve data storage efficiency? 2. What are the key differences between traditional database partitioning and the partitioning rules described in the patent application?

Original Abstract Submitted

a materialization configuration request is received via a programmatic interface from a client of a journal-based multi-data-store database. the request indicates a partitioning rule to be used to select, for respective writes indicated in committed transaction entries of a journal, the materialization node at which the writes are to be stored. a control plane component of the database verifies that a set of materialization nodes corresponding to the partitioning rule has been established, and initiates the propagation of writes from the journal to the materialization nodes by respective write appliers.