MULTI-CLUSTER QUERY RESULT CACHING

Organization Name

databricks, inc.

Inventor(s)

Saksham Garg of Amsterdam (NL)

Bogdan Ionut Ghit of Amsterdam (NL)

Christopher Stevens of St. Petersburg FL (US)

Christian Stuart of Amsterdam (NL)

MULTI-CLUSTER QUERY RESULT CACHING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240265010 titled 'MULTI-CLUSTER QUERY RESULT CACHING

The abstract describes a multi-cluster computing system with a query result caching system. The system includes a data processing service and client devices connected over a network. The data processing service consists of a control layer and a data layer. The control layer manages requests from client devices and resources in the data layer. The data layer contains clusters of computing resources for executing jobs and a data storage system with a remote query result cache store. The query result cache store includes a cloud storage query result cache for storing data related to previously executed requests. Clusters can efficiently retrieve cached results from the query result cache when encountering a previously executed request.

Data processing service with control and data layers
Clusters of computing resources in the data layer
Remote query result cache store in the data storage system
Cloud storage query result cache for storing data from previous requests
Efficient retrieval of cached results by clusters

Potential Applications: - Big data processing - Cloud computing - Data analytics

Problems Solved: - Improving query result retrieval efficiency - Reducing processing time for repeated requests

Benefits: - Faster data processing - Reduced network traffic - Improved overall system performance

Commercial Applications: Title: Enhanced Data Processing System with Query Result Caching This technology can be used in industries such as: - E-commerce for real-time data analysis - Financial services for risk assessment - Healthcare for patient data management

Prior Art: Research existing multi-cluster computing systems with query result caching to understand the current state of the technology.

Frequently Updated Research: Stay updated on advancements in cloud storage technologies and data processing systems to enhance the efficiency of the query result caching system.

Questions about Multi-Cluster Computing System with Query Result Caching: 1. How does the query result caching system improve the performance of the multi-cluster computing system? 2. What are the key differences between in-memory query result cache and cloud storage query result cache?

Original Abstract Submitted

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.