Patents by Inventor Craig S. Aldrich

Craig S. Aldrich 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).

  • Patent number: 11829334
    Abstract: A method of controlling resynchronization of a source database and a target database may comprise detecting that a connection between the source database and the target database has been restored. Based on the detecting, the method may also comprise identifying a first edit flag for a first row in a first table on the source database. Based on the identifying, the method may also comprise sending the first row from the source database to the target database. Based on the sending, the method may also comprise clearing the first edit flag for the first row.
    Type: Grant
    Filed: June 12, 2020
    Date of Patent: November 28, 2023
    Assignee: International Business Machines Corporation
    Inventors: Matthew A Neill, Mark J. Anderson, Craig S. Aldrich, Donald Frederick Zimmerman
  • Publication number: 20220414253
    Abstract: An approach for identifying privileged access to a database is provided. A processor receives a query plan to search the database. A processor determines the query plan includes a request that accesses privileged data. A processor generates an updated query plan with an indication of the request that accesses privileged data. A processor sends the updated query plan for an audit of the query plan.
    Type: Application
    Filed: June 23, 2021
    Publication date: December 29, 2022
    Inventors: Craig S. Aldrich, Mark J. Anderson
  • Patent number: 11354313
    Abstract: Disclosed aspects relate to transforming a user-defined table function (UDTF) to a derived table in a database management system (DBMS). It may be detected by the DBMS that a query indicates the UDTF. A derived table may be constructed from the UDTF. The derived table may be derived from a set of statements of the UDTF. The derived table may be introduced to the query to fulfill the UDTF. A query plan may be generated for the query by the DBMS. The query plan may be generated in response to introducing the derived table in the query.
    Type: Grant
    Filed: September 10, 2019
    Date of Patent: June 7, 2022
    Assignee: Alibaba Group Holding Limited
    Inventors: Craig S. Aldrich, Stephanie A. Burrichter, Scott P. Hanson, Rafal P. Konik, Roger A. Mittelstadt, Jane A. Vold
  • Publication number: 20210390081
    Abstract: A method of controlling resynchronization of a source database and a target database may comprise detecting that a connection between the source database and the target database has been restored. Based on the detecting, the method may also comprise identifying a first edit flag for a first row in a first table on the source database. Based on the identifying, the method may also comprise sending the first row from the source database to the target database. Based on the sending, the method may also comprise clearing the first edit flag for the first row.
    Type: Application
    Filed: June 12, 2020
    Publication date: December 16, 2021
    Inventors: Matthew A Neill, Mark J. Anderson, Craig S. Aldrich, Donald Frederick Zimmerman
  • Patent number: 10846291
    Abstract: Disclosed aspects relate to transforming a user-defined table function (UDTF) to a derived table in a database management system (DBMS). It may be detected by the DBMS that a query indicates the UDTF. A derived table may be constructed from the UDTF. The derived table may be derived from a set of statements of the UDTF. The derived table may be introduced to the query to fulfill the UDTF. A query plan may be generated for the query by the DBMS. The query plan may be generated in response to introducing the derived table in the query.
    Type: Grant
    Filed: April 18, 2019
    Date of Patent: November 24, 2020
    Assignee: Alibaba Group Holding Limited
    Inventors: Craig S. Aldrich, Stephanie A. Burrichter, Scott P. Hanson, Rafal P. Konik, Roger A. Mittelstadt, Jane A. Vold
  • Patent number: 10810199
    Abstract: A query optimizer improves the efficiency of a computer database system utilizing an input-output correlator used with a create function that indicates a correlation between an input to the function and an output of the function. In an example, the input-output correlator is an OR OUTPUT parameter of a create table function. The query optimizer determines whether it can pass a value of a query to the input of the function in response to the input-output correlator. Under appropriate conditions, the query optimizer passes the query value to the input of the function to significantly reduce the amount of data returned by the function thereby reducing the load on database resources.
    Type: Grant
    Filed: August 30, 2018
    Date of Patent: October 20, 2020
    Assignee: International Business Machines Corporation
    Inventors: Craig S. Aldrich, Mark J. Anderson
  • Publication number: 20200073985
    Abstract: A query optimizer improves the efficiency of a computer database system utilizing an input-output correlator used with a create function that indicates a correlation between an input to the function and an output of the function. In an example, the input-output correlator is an OR OUTPUT parameter of a create table function. The query optimizer determines whether it can pass a value of a query to the input of the function in response to the input-output correlator. Under appropriate conditions, the query optimizer passes the query value to the input of the function to significantly reduce the amount of data returned by the function thereby reducing the load on database resources.
    Type: Application
    Filed: August 30, 2018
    Publication date: March 5, 2020
    Inventors: Craig S. Aldrich, Mark J. Anderson
  • Patent number: 10558662
    Abstract: Disclosed aspects relate to transforming a user-defined table function (UDTF) to a derived table in a database management system (DBMS). It may be detected by the DBMS that a query indicates the UDTF. A derived table may be constructed from the UDTF. The derived table may be derived from a set of statements of the UDTF. The derived table may be introduced to the query to fulfill the UDTF. A query plan may be generated for the query by the DBMS. The query plan may be generated in response to introducing the derived table in the query.
    Type: Grant
    Filed: January 14, 2017
    Date of Patent: February 11, 2020
    Assignee: International Business Machines Corporation
    Inventors: Craig S. Aldrich, Stephanie A. Burrichter, Scott P. Hanson, Rafal P. Konik, Roger A. Mittelstadt, Jane A. Vold
  • Publication number: 20200004750
    Abstract: Disclosed aspects relate to transforming a user-defined table function (UDTF) to a derived table in a database management system (DBMS). It may be detected by the DBMS that a query indicates the UDTF. A derived table may be constructed from the UDTF. The derived table may be derived from a set of statements of the UDTF. The derived table may be introduced to the query to fulfill the UDTF. A query plan may be generated for the query by the DBMS. The query plan may be generated in response to introducing the derived table in the query.
    Type: Application
    Filed: September 10, 2019
    Publication date: January 2, 2020
    Inventors: Craig S. Aldrich, Stephanie A. Burrichter, Scott P. Hanson, Rafal P. Konik, Roger A. Mittelstadt, Jane A. Vold
  • Publication number: 20190243833
    Abstract: Disclosed aspects relate to transforming a user-defined table function (UDTF) to a derived table in a database management system (DBMS). It may be detected by the DBMS that a query indicates the UDTF. A derived table may be constructed from the UDTF. The derived table may be derived from a set of statements of the UDTF. The derived table may be introduced to the query to fulfill the UDTF. A query plan may be generated for the query by the DBMS. The query plan may be generated in response to introducing the derived table in the query.
    Type: Application
    Filed: April 18, 2019
    Publication date: August 8, 2019
    Inventors: Craig S. Aldrich, Stephanie A. Burrichter, Scott P. Hanson, Rafal P. Konik, Roger A. Mittelstadt, Jane A. Vold
  • Publication number: 20180203898
    Abstract: Disclosed aspects relate to transforming a user-defined table function (UDTF) to a derived table in a database management system (DBMS). It may be detected by the DBMS that a query indicates the UDTF. A derived table may be constructed from the UDTF. The derived table may be derived from a set of statements of the UDTF. The derived table may be introduced to the query to fulfill the UDTF. A query plan may be generated for the query by the DBMS. The query plan may be generated in response to introducing the derived table in the query.
    Type: Application
    Filed: January 14, 2017
    Publication date: July 19, 2018
    Inventors: Craig S. Aldrich, Stephanie A. Burrichter, Scott P. Hanson, Rafal P. Konik, Roger A. Mittelstadt, Jane A. Vold
  • Publication number: 20180203900
    Abstract: Disclosed aspects relate to transforming a user-defined table function (UDTF) to a derived table in a database management system (DBMS). It may be detected by the DBMS that a query indicates the UDTF. A derived table may be constructed from the UDTF. The derived table may be derived from a set of statements of the UDTF. The derived table may be introduced to the query to fulfill the UDTF. A query plan may be generated for the query by the DBMS. The query plan may be generated in response to introducing the derived table in the query.
    Type: Application
    Filed: December 29, 2017
    Publication date: July 19, 2018
    Inventors: Craig S. Aldrich, Stephanie A. Burrichter, Scott P. Hanson, Rafal P. Konik, Roger A. Mittelstadt, Jane A. Vold
  • Publication number: 20180107712
    Abstract: Techniques are described for managing exceptions occurring during query execution. Embodiments receive, from a requesting entity, a query for execution against a database. A first query plan for executing the query is generated, where the query plan comprises a first ordered sequence of operations to be performed in executing the query against the database. Embodiments determine a likelihood that the first query plan, if executed, will result in one or more exceptions being thrown and dynamically modify the first query plan based on the determined likelihood. The modified first query plan is executed against the database to produce a set of query results and the set of query results is returned to the requesting entity.
    Type: Application
    Filed: October 13, 2016
    Publication date: April 19, 2018
    Inventors: Craig S. ALDRICH, Rafal P. KONIK, Roger A. MITTELSTADT, Brian R. MURAS, Jane A. VOLD
  • Publication number: 20180107713
    Abstract: Method, apparatus and article of manufacture for managing query execution. A query is received from a requesting entity for execution against a database. Embodiments execute the query to produce a set of query results, by initiating execution of a query plan for the query, catching, via an exception handler, a first one or more exceptions occurring while determining a first one or more query result rows and, after catching the first one or more exceptions, continuing execution of the query plan to produce an initial set of query results. The first one or more query result rows are added to an end of the initial set of query results, to produce the set of query results and the set of query results is returned to the requesting entity, where at least one erroneous query result row that was not omitted is appended to the end of the query results.
    Type: Application
    Filed: October 13, 2016
    Publication date: April 19, 2018
    Inventors: Craig S. ALDRICH, Rafal P. KONIK, Roger A. MITTELSTADT, Brian R. MURAS, Jane A. VOLD
  • Patent number: 6757690
    Abstract: Methods, systems, data structures and articles of manufacture are provided for monitoring access to a database. In one embodiment, a data access trigger, or read trigger, is adapted to monitor accesses to a database. In general, a data access trigger is invoked when predefined events occur. Specifically, a data access trigger is executed to take some action due to any attempt to access a database. When a specified access attempt is determined, the trigger can instruct the system to take any number of actions, such as modify the data being requested. In one embodiment, a log is provided in which accesses to the database are recorded. The log may subsequently reviewed to ascertain whether a particular record was accessed and by whom. In addition, the particular information accessed and/or modified can be contained in the log.
    Type: Grant
    Filed: March 26, 2001
    Date of Patent: June 29, 2004
    Assignee: International Business Machines Corporation
    Inventors: Craig S. Aldrich, Mark John Anderson, Kevin Robert Brettin, Theresa Renee Euler, Scott Joseph Heimer, Steven Virgil Hoeschen, Ritchie Lee Nyland, Russ Owen, Richard Donald Parrott, Randy Keith Rolfe, Wayne Christopher Sadecki, Renee Kristin Saxman, Kathryn Rose Steinbrink, Jonathan Lee Triebenbach
  • Publication number: 20020174129
    Abstract: Methods, systems, data structures and articles of manufacture are provided for monitoring access to a database. In one embodiment, a data access trigger, or read trigger, is adapted to monitor accesses to a database. In general, a data access trigger is invoked when predefined events occur. Specifically, a data access trigger is executed to take some action due to any attempt to access a database. When a specified access attempt is determined, the trigger can instruct the system to take any number of actions, such as modify the data being requested.
    Type: Application
    Filed: March 26, 2001
    Publication date: November 21, 2002
    Inventors: Craig S. Aldrich, Mark John Anderson, Kevin Robert Brettin, Theresa Renee Euler, Scott Joseph Heimer, Steven Virgil Hoeschen, Ritchie Lee Nyland, Russ Owen, Richard Donald Parrott, Randy Keith Rolfe, Wayne Christopher Sadecki, Renee Kristin Saxman, Kathryn Rose Steinbrink, Jonathan Lee Triebenbach