Databricks, Inc. (20240265010). MULTI-CLUSTER QUERY RESULT CACHING simplified abstract
Contents
MULTI-CLUSTER QUERY RESULT CACHING
Organization Name
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, where 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 contains a data storage system with a remote query result cache store.
- The cache store includes a cloud storage query result cache for storing data from previous requests.
Potential Applications: - This technology can be used in large-scale data processing applications. - It can improve the efficiency of computing clusters by caching query results. - The system can be beneficial for organizations handling a high volume of data requests.
Problems Solved: - Efficient retrieval of previously executed query results. - Improved performance of computing clusters. - Enhanced resource management in data processing services.
Benefits: - Faster response times for repeated queries. - Reduced load on computing resources. - Enhanced overall system performance.
Commercial Applications: Title: Enhanced Data Processing System with Query Result Caching This technology can be applied in cloud computing services, big data analytics, and enterprise data processing systems. It can help companies optimize their data processing workflows, improve efficiency, and reduce operational costs.
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.
