Patents by Inventor Prabhakar Chintapalli

Prabhakar Chintapalli has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Relational database tree engine implementing map-reduce query handling
    Patent number: 10242052
    Abstract: Methods and systems for processing a database query are disclosed. An example method includes receiving a SQL database query at a database query handling server, and parsing the SQL database query to identify a database and one or more tables and columns identified by the SQL database query. The method also includes determining a query plan based on the parsed database query. At a database engine, and based on the query plan and the identified database, tables and columns, the method further includes identifying a set of data nodes implicated by the identified database, tables and columns, determining a set of reduce operations and levels at which each of the set of map-reduce operations are to execute, and passing the query plan, the set of data nodes, and the map-reduce operations to a map-reduce query execution framework. The map-reduce query framework returns records as query results to the client system.
    Type: Grant
    Filed: October 23, 2012
    Date of Patent: March 26, 2019
    Assignee: Unisys Corporation
    Inventors: Sateesh Mandre, Kumar Swamy BV, Raghavendra Marutirao Banappanavar, Murthy Naik Revananaik, Prabhakar Chintapalli
  • RELATIONAL DATABASE TREE ENGINE IMPLEMENTING MAP-REDUCE QUERY HANDLING
    Publication number: 20140032528
    Abstract: Methods and systems for processing a database query are disclosed. An example method includes receiving a SQL database query at a database query handling server, and parsing the SQL database query to identify a database and one or more tables and columns identified by the SQL database query. The method also includes determining a query plan based on the parsed database query. At a database engine, and based on the query plan and the identified database, tables and columns, the method further includes identifying a set of data nodes implicated by the identified database, tables and columns, determining a set of reduce operations and levels at which each of the set of map-reduce operations are to execute, and passing the query plan, the set of data nodes, and the map-reduce operations to a map-reduce query execution framework. The map-reduce query framework returns records as query results to the client system.
    Type: Application
    Filed: October 23, 2012
    Publication date: January 30, 2014
    Applicant: Unisys Corporation
    Inventors: Sateesh Mandre, Kumar Swamy BV, Raghavendra Marutirao Banappanavar, Murthy Naik Revananaik, Prabhakar Chintapalli