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 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 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. This cache store includes a cloud storage query result cache for storing data related to previously executed requests. When a cluster encounters a previous request, it can efficiently retrieve the cached result from the query result cache.

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 has a control layer for managing requests and a data layer for executing jobs.
The data layer includes a data storage system with a remote query result cache store.
The query result cache store has a cloud storage query result cache for storing data from previous requests.

Potential Applications: - This technology can be applied in large-scale data processing systems. - It can be used in cloud computing environments to improve query performance. - Companies dealing with big data analytics can benefit from this system.

Problems Solved: - Efficient retrieval of cached query results. - Improved performance in executing jobs. - Better resource management in multi-cluster computing environments.

Benefits: - Faster query processing. - Reduced load on computing clusters. - Enhanced overall system performance.

Commercial Applications: Title: Enhanced Query Result Caching System for Multi-Cluster Computing This technology can be utilized in cloud computing services, data analytics companies, and large-scale data processing industries. It can improve query performance, reduce processing times, and enhance overall system efficiency.

Questions about Multi-Cluster Computing with Query Result Caching: 1. How does the query result caching system improve the performance of multi-cluster computing? The query result caching system stores data from previously executed requests, allowing clusters to retrieve cached results efficiently, thereby enhancing overall system performance.

2. What are the potential applications of this technology in the field of data processing? This technology can be applied in various industries such as cloud computing, big data analytics, and data processing companies to improve query processing speed and resource management.

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.