18451032. ANTICIPATORY PRE-EXECUTION OF DATA QUERIES simplified abstract (Google LLC)

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ANTICIPATORY PRE-EXECUTION OF DATA QUERIES

Organization Name

Google LLC

Inventor(s)

Colin Zima of San Francisco CA (US)

ANTICIPATORY PRE-EXECUTION OF DATA QUERIES - A simplified explanation of the abstract

This abstract first appeared for US patent application 18451032 titled 'ANTICIPATORY PRE-EXECUTION OF DATA QUERIES

Simplified Explanation

The patent application describes a method for anticipatory pre-execution of queries to a data source. This method involves computing the execution cost of multiple queries scheduled for a specific time and date. It also includes monitoring the querying processing schedule to identify unscheduled time before the specified time and date. The method then selects the most expensive query in terms of execution cost and executes it during the unscheduled time.

  • Method for anticipatory pre-execution of queries to a data source.
  • Computation of execution cost for multiple queries scheduled at a specific time and date.
  • Monitoring of querying processing schedule to identify unscheduled time before the specified time and date.
  • Selection of the most expensive query in terms of execution cost.
  • Execution of the selected query during the unscheduled time.

Potential Applications

  • Database management systems
  • Data analytics platforms
  • Business intelligence tools
  • Data-driven decision-making processes

Problems Solved

  • Efficient utilization of computing resources
  • Optimization of query execution time
  • Improved scheduling and prioritization of queries
  • Reduction of query processing delays

Benefits

  • Increased efficiency in query execution
  • Improved performance of data processing systems
  • Enhanced resource allocation and utilization
  • Faster data retrieval and analysis


Original Abstract Submitted

Implementations of the disclosure provide for anticipatory pre-execution of queries. In an implementation of the disclosure, a method for anticipatory pre-execution of queries includes the computation of an execution cost of each of a multiplicity of different queries to a data source scheduled at a specified time on a specified date. The method also includes monitoring a querying processing schedule and detecting from the monitoring, unscheduled time on a particular date prior to the specified time on the specified date. Finally, the method includes responding to the detection by first selecting a most expensive one of the different queries in terms of execution cost, for instance an amount of computing resources consumed in executing a corresponding one of the different queries, and then executing the selected most expensive one of the different queries during the unscheduled time on the particular date prior to the specified time on the specified date.

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