Patents by Inventor Adrian Tsz Him Ng
Adrian Tsz Him Ng 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).
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Patent number: 11775527Abstract: Region summaries of database data are stored in persistent memory of a storage cell. Because the region summaries are stored in persistent memory, when a storage cell is powered off and data in volatile memory is not retained, region summaries are nevertheless preserved in persistent memory. When the storage cell comes online, the region summaries already exist and may be used without the delay attendant to regenerating the region summaries stored in volatile memory.Type: GrantFiled: June 24, 2021Date of Patent: October 3, 2023Assignee: Oracle International CorporationInventors: Krishnan Meiyyappan, Semen Ustimenko, Adrian Tsz Him Ng, Kothanda Umamageswaran
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Publication number: 20210326343Abstract: Region summaries of database data are stored in persistent memory of a storage cell. Because the region summaries are stored in persistent memory, when a storage cell is powered off and data in volatile memory is not retained, region summaries are nevertheless preserved in persistent memory. When the storage cell comes online, the region summaries already exist and may be used without the delay attendant to regenerating the region summaries stored in volatile memory.Type: ApplicationFiled: June 24, 2021Publication date: October 21, 2021Inventors: Krishnan Meiyyappan, Semen Ustimenko, Adrian Tsz Him Ng, Kothanda Umamageswaran
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Patent number: 11086876Abstract: Region summaries of database data are stored in persistent memory of a storage cell. Because the region summaries are stored in persistent memory, when a storage cell is powered off and data in volatile memory is not retained, region summaries are nevertheless preserved in persistent memory. When the storage cell comes online, the region summaries already exist and may be used without the delay attendant to regenerating the region summaries stored in volatile memory.Type: GrantFiled: September 29, 2017Date of Patent: August 10, 2021Assignee: Oracle International CorporationInventors: Krishnan Meiyyappan, Semen Ustimenko, Adrian Tsz Him Ng, Kothanda Umamageswaran
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Patent number: 10936616Abstract: A storage system communicatively coupled to a database management system (DBMS performs storage-side scanning of data sources that are not stored in native database storage format of the DBMS. Data sources for external tables are accessible in a storage system referred to as a distributed data access system (DDAS), e.g. a Hadoop Distributed File System. To execute a query that references an external table, a DBMS first generates an execution plan. The DDAS supplies the DBMS with information that specifies each portion of the data source, and specifies which data node to use to access the portion. The DBMS sends a request for each portion to the respective data node, requesting that the data node generate rows from data in the portion. The request may specify scanning criteria, specifying one or more columns to project and/or filter on, and code modules for the data node to execute to generate records.Type: GrantFiled: June 8, 2015Date of Patent: March 2, 2021Assignee: Oracle International CorporationInventors: Dmitry Mikhailovich Potapov, Krishnan Meiyyappan, Alexander Tsukerman, Kothanda Umamageswaran, Semen Ustimenko, Wei Zhang, Adrian Tsz Him Ng, Daniel McClary, Allen Brumm, James Stenoish, Robert K. Abbott
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Patent number: 10678788Abstract: Techniques are provided for storing in in-memory unit (IMU) in a lower-storage tier and copying the IMU to DRAM when needed for query processing. Techniques are also provided for copying IMUs to lower tiers of storage when evicted from the cache of higher tiers of storage. Techniques are provided for implementing functionality of IMUs within a storage system, to enable database servers to push tasks, such as filtering, to the storage system where the storage system may access IMUs within its own memory to perform the tasks. Metadata associated with a set of data may be used to indicate whether an IMU for the data should be created by the database server machine or within the storage system.Type: GrantFiled: October 21, 2016Date of Patent: June 9, 2020Assignee: Oracle International CorporationInventors: Roger D. Macnicol, Viral Shah, Xia Hua, Jesse Kamp, Shasank K. Chavan, Maria Colgan, Tirthankar Lahiri, Adrian Tsz Him Ng, Krishnan Meiyyappan, Amit Ganesh, Juan R. Loaiza, Kothanda Umamageswaran, Yiran Qin
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Patent number: 10642837Abstract: According to embodiments, a derived cache that is derived from a first instance of particular data is used to speed up queries and other operations over a second instance of the particular data. Traditionally, a DBMS generates and uses derived cache data only for the database data from which the derived data was derived. However, according to embodiments, derived cache data associated with a first instance of database data is relocated to the location of a second, newly created, instance of the database data. Since the derived cache data is derived from an identical copy of the database data, the cache data derived for the first instance can successfully be used to speed up applications running over the second instance of the database data.Type: GrantFiled: January 19, 2017Date of Patent: May 5, 2020Assignee: Oracle International CorporationInventors: Kothanda Umamageswaran, Krishnan Meiyyappan, Adrian Tsz Him Ng, Vijay Sridharan, Wei Zhang, Ke Hu, Xin Zeng
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Publication number: 20190102433Abstract: Region summaries of database data are stored in persistent memory of a storage cell. Because the region summaries are stored in persistent memory, when a storage cell is powered off and data in volatile memory is not retained, region summaries are nevertheless preserved in persistent memory. When the storage cell comes online, the region summaries already exist and may be used without the delay attendant to regenerating the region summaries stored in volatile memory.Type: ApplicationFiled: September 29, 2017Publication date: April 4, 2019Inventors: Krishnan Meiyyappan, Semen Ustimenko, Adrian Tsz Him Ng, Kothanda Umamageswaran
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Patent number: 10198363Abstract: Techniques are described herein for generating and using in-memory data structures to represent columns in data block sets. In an embodiment, a database management system (DBMS) receives a query for a target data set managed by the DBMS. The query may specify a predicate for a column of the target data set. The predicate may include a filtering value to be compared with row values of the column of the target data set. Prior to accessing data block sets storing the target data set from persistent storage, the DBMS identifies an in-memory summary that corresponds to a data block set, in an embodiment. The in-memory summary may include in-memory data structures, each representing a column stored in the data block set. The DBMS determines that a particular in-memory data structure exists in the in-memory summary that represents a portion of values of the column indicated in the predicate of the query.Type: GrantFiled: September 16, 2016Date of Patent: February 5, 2019Assignee: Oracle International CorporationInventors: Roger D. MacNicol, Tirthankar Lahiri, Kothanda Umamageswaran, Adrian Tsz Him Ng, Laura Liaoruo Wang, Krishnan Meiyyappan
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Patent number: 10042781Abstract: Techniques are described herein for generating and using in-memory data structures to represent columns in data block sets. In an embodiment, a database management system (DBMS) receives a query for a target data set managed by the DBMS. The query may specify a predicate for a column of the target data set. The predicate may include a filtering value to be compared with row values of the column of the target data set. Prior to accessing data block sets storing the target data set from persistent storage, the DBMS identifies an in-memory summary that corresponds to a data block set, in an embodiment. The in-memory summary may include in-memory data structures, each representing a column stored in the data block set. The DBMS determines that a particular in-memory data structure exists in the in-memory summary that represents a portion of values of the column indicated in the predicate of the query.Type: GrantFiled: September 16, 2016Date of Patent: August 7, 2018Assignee: Oracle International CorporationInventors: Roger D. MacNicol, Tirthankar Lahiri, Kothanda Umamageswaran, Adrian Tsz Him Ng, Laura Liaoruo Wang, Krishnan Meiyyappan
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Publication number: 20170206199Abstract: According to embodiments, a derived cache that is derived from a first instance of particular data is used to speed up queries and other operations over a second instance of the particular data. Traditionally, a DBMS generates and uses derived cache data only for the database data from which the derived data was derived. However, according to embodiments, derived cache data associated with a first instance of database data is relocated to the location of a second, newly created, instance of the database data. Since the derived cache data is derived from an identical copy of the database data, the cache data derived for the first instance can successfully be used to speed up applications running over the second instance of the database data.Type: ApplicationFiled: January 19, 2017Publication date: July 20, 2017Inventors: Kothanda Umamageswaran, Krishnan Meiyyappan, Adrian Tsz Him Ng, Vijay Sridharan, Wei Zhang, Ke Hu, Xin Zeng
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Publication number: 20170116269Abstract: Techniques are provided for storing in in-memory unit (IMU) in a lower-storage tier and copying the IMU to DRAM when needed for query processing. Techniques are also provided for copying IMUs to lower tiers of storage when evicted from the cache of higher tiers of storage. Techniques are provided for implementing functionality of IMUs within a storage system, to enable database servers to push tasks, such as filtering, to the storage system where the storage system may access IMUs within its own memory to perform the tasks. Metadata associated with a set of data may be used to indicate whether an IMU for the data should be created by the database server machine or within the storage system.Type: ApplicationFiled: October 21, 2016Publication date: April 27, 2017Inventors: Roger D. Macnicol, Viral Shah, Xia Hua, Jesse Kamp, Shasank K. Chavan, Maria Colgan, Tirthankar Lahiri, Adrian Tsz Him Ng, Krishnan Meiyyappan, Amit Ganesh, Juan R. Loaiza, Kothanda Umamageswaran, Yiran Qin
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Publication number: 20170116136Abstract: Techniques are described herein for generating and using in-memory data structures to represent columns in data block sets. In an embodiment, a database management system (DBMS) receives a query for a target data set managed by the DBMS. The query may specify a predicate for a column of the target data set. The predicate may include a filtering value to be compared with row values of the column of the target data set. Prior to accessing data block sets storing the target data set from persistent storage, the DBMS identifies an in-memory summary that corresponds to a data block set, in an embodiment. The in-memory summary may include in-memory data structures, each representing a column stored in the data block set. The DBMS determines that a particular in-memory data structure exists in the in-memory summary that represents a portion of values of the column indicated in the predicate of the query.Type: ApplicationFiled: September 16, 2016Publication date: April 27, 2017Inventors: ROGER D. MACNICOL, TIRTHANKAR LAHIRI, KOTHANDA UMAMAGESWARAN, ADRIAN TSZ HIM NG, LAURA LIAORUO WANG, KRISHNAN MEIYYAPPAN
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Publication number: 20150356158Abstract: A storage system communicatively coupled to a DBMS performs storage-side scanning of data sources that are not stored in the native database storage format of the DBMS. Data sources for external tables are accessible in a storage system referred to herein as a distributed data access system, e.g. a Hadoop Distributed File System. To execute a query that references an external table, a DBMS first generates an execution plan. The distributed data access system supplies the DBMS with information that specifies each portion of the data source, and specifies which data node to use to access the portion. The DBMS sends a request for each portion to the respective data node, the request requesting that the data node generate rows from data in the portion. The request may specify scanning criteria, specifying one or more columns to project and/or filter on. The request may also specify code modules for the data node to execute to generate rows or records and columns.Type: ApplicationFiled: June 8, 2015Publication date: December 10, 2015Inventors: Dmitry Mikhailovich Potapov, Krishnan Meiyyappan, Alexander Tsukerman, Kothanda Umamageswaran, Semen Ustimenko, Wei Zhang, Adrian Tsz Him Ng, Daniel McClary, Allen Brumm, James Stenoish, Robert K. Abbott