View source for Databricks, Inc. (20240265011). Multi-Cluster Query Result Caching simplified abstract

=Multi-Cluster Query Result Caching=


==Organization Name==

[[:Category:Databricks, Inc.|Databricks, Inc.]]


[[Category:Databricks, Inc.]]

==Inventor(s)==

[[:Category:Saksham Garg of Amsterdam (NL)|Saksham Garg of Amsterdam (NL)]][[Category:Saksham Garg of Amsterdam (NL)]]

[[:Category:Bogdan Ionut Ghit of Amsterdam (NL)|Bogdan Ionut Ghit of Amsterdam (NL)]][[Category:Bogdan Ionut Ghit of Amsterdam (NL)]]

[[:Category:Christopher Stevens of St. Petersburg FL (US)|Christopher Stevens of St. Petersburg FL (US)]][[Category:Christopher Stevens of St. Petersburg FL (US)]]

[[:Category:Christian Stuart of Amsterdam (NL)|Christian Stuart of Amsterdam (NL)]][[Category:Christian Stuart of Amsterdam (NL)]]

==Multi-Cluster Query Result Caching - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240265011 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 processes requests from client devices and manages resources in the data layer, which includes computing resource clusters for executing jobs. The data layer also contains a data storage system with a remote query result cache store, including a cloud storage query result cache for storing data related to previously executed requests. This allows clusters to efficiently retrieve cached results when encountering a repeated request.

* The system includes a multi-cluster computing setup with a query result caching system.
* It consists of a data processing service and client devices connected via a network.
* The data processing service comprises a control layer and a data layer.
* The control layer handles requests from clients and manages resources in the data layer.
* The data layer contains computing resource clusters for executing jobs and a data storage system.
* The data storage system includes a remote query result cache store with a cloud storage query result cache.
* The cloud storage query result cache stores data associated with previously executed requests.
* Clusters can retrieve cached results efficiently when encountering repeated requests.

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

Problems Solved:
- Efficient retrieval of cached query results
- Resource management in multi-cluster computing systems

Benefits:
- Improved performance in handling repeated requests
- Reduced load on computing clusters
- Enhanced scalability and resource utilization

Commercial Applications:
Title: "Enhancing Data Processing Efficiency with Multi-Cluster Computing System"
This technology can be applied in industries such as:
- E-commerce for handling large volumes of customer data
- Financial services for real-time data analysis
- Healthcare for processing medical records and research data

Questions about the technology:
1. How does the query result caching system improve the performance of the multi-cluster computing system?
2. What are the key advantages of using a cloud storage query result cache in this setup?


==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.



[[Category:G06F16/2453]]
[[Category:CPC_G06F16/24539]]