Patents by Inventor Sukhada Pendse
Sukhada Pendse 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: 11971869Abstract: A shared-nothing database system is provided in which parallelism and workload balancing are increased by assigning the rows of each table to “slices”, and storing multiple copies (“duplicas”) of each slice across the persistent storage of multiple nodes of the shared-nothing database system. When the data for a table is distributed among the nodes of a shared-nothing system in this manner, requests to read data from a particular row of the table may be handled by any node that stores a duplica of the slice to which the row is assigned. For each slice, a single duplica of the slice is designated as the “primary duplica”. All DML operations (e.g. inserts, deletes, updates, etc.) that target a particular row of the table are performed by the node that has the primary duplica of the slice to which the particular row is assigned. The changes made by the DML operations are then propagated from the primary duplica to the other duplicas (“secondary duplicas”) of the same slice.Type: GrantFiled: October 26, 2022Date of Patent: April 30, 2024Assignee: Oracle International CorporationInventors: Jesse Kamp, Allison L. Holloway, Meichun Hsu, Hideaki Kimura, Boris Klots, Vasudha Krishnaswamy, Kartik Kulkarni, Teck Hua Lee, Yunrui Li, Aurosish Mishra, Ajit Mylavarapu, Sukhada Pendse, Garret F. Swart, Shasank K. Chavan, Tirthankar Lahiri, Juan R. Loaiza
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Publication number: 20240126728Abstract: JSON Duality Views are object views that return JDV objects. JDV objects are virtual because they are not stored in a database as JSON objects. Rather, JDV objects are stored in shredded form across tables and table attributes (e.g. columns) and returned by a DBMS in response to database commands that request a JDV object from a JSON Duality View. Through JSON Duality Views, changes to the state of a JDV object may be specified at the level of a JDV object. JDV objects are updated in a database using optimistic lock.Type: ApplicationFiled: October 14, 2022Publication date: April 18, 2024Inventors: ZHEN HUA LIU, JUAN R. LOAIZA, SUNDEEP ABRAHAM, SHUBHA BOSE, HUI JOE CHANG, SHASHANK GUGNANI, BEDA CHRISTOPH HAMMERSCHMIDT, TIRTHANKAR LAHIRI, YING LU, DOUGLAS JAMES MCMAHON, AUROSISH MISHRA, AJIT MYLAVARAPU, SUKHADA PENDSE, ANANTH RAGHAVAN
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Publication number: 20240126743Abstract: JSON Duality Views are object views that return JDV objects. JDV objects are virtual because they are not stored in a database as JSON objects. Rather, JDV objects are stored in shredded form across tables and table attributes (e.g. columns) and returned by a DBMS in response to database commands that request a JDV object from a JSON Duality View. Through JSON Duality Views, changes to the state of a JDV object may be specified at the level of a JDV object. JDV objects are updated in a database using optimistic lock.Type: ApplicationFiled: October 14, 2022Publication date: April 18, 2024Inventors: ZHEN HUA LIU, JUAN R. LOAIZA, SUNDEEP ABRAHAM, SHUBHA BOSE, HUI JOE CHANG, SHASHANK GUGNANI, BEDA CHRISTOPH HAMMERSCHMIDT, TIRTHANKAR LAHIRI, YING LU, DOUGLAS JAMES MCMAHON, AUROSISH MISHRA, AJIT MYLAVARAPU, SUKHADA PENDSE, ANANTH RAGHAVAN
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Publication number: 20240126729Abstract: JSON Duality Views are object views that return JDV objects. JDV objects are virtual because they are not stored in a database as JSON objects. Rather, JDV objects are stored in shredded form across tables and table attributes (e.g. columns) and returned by a DBMS in response to database commands that request a JDV object from a JSON Duality View. Through JSON Duality Views, changes to the state of a JDV object may be specified at the level of a JDV object. JDV objects are updated in a database using optimistic lock.Type: ApplicationFiled: October 14, 2022Publication date: April 18, 2024Inventors: ZHEN HUA LIU, JUAN R. LOAIZA, SUNDEEP ABRAHAM, SHUBHA BOSE, HUI JOE CHANG, SHASHANK GUGNANI, BEDA CHRISTOPH HAMMERSCHMIDT, TIRTHANKAR LAHIRI, YING LU, DOUGLAS JAMES MCMAHON, AUROSISH MISHRA, AJIT MYLAVARAPU, SUKHADA PENDSE, ANANTH RAGHAVAN
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Publication number: 20230281190Abstract: One or more engine instances are executed on each host to form an engine cluster. A plurality of control instances are executed on a first set of hosts to form a control cluster and comprise a control instance leader and one or more control instance followers. In response to a first host indicating a failure of a neighbor host, a pair-wise focused investigation is initiated to check peer-to-peer connections between the first host and the neighbor host. In response to one or more additional hosts indicating failures of neighbor hosts while the pair-wise focused investigation is being performed, a wide investigation is performed to check connections between the control cluster and the plurality of hosts. One or more hosts are added to an eviction list and an eviction protocol is performed to evict the one or more hosts from the engine cluster using the eviction list.Type: ApplicationFiled: March 6, 2023Publication date: September 7, 2023Inventors: Ajit Mylavarapu, Vasudha Krishnaswamy, Sukhada Pendse, Solmaz Kolahi, Ankita Kumar, Garret F. Swart, Juan R. Loaiza, Tirthankar Lahiri
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Patent number: 11657037Abstract: Techniques related to query execution against an in-memory standby database are disclosed. A first database includes PF data stored on persistent storage in a persistent format. The first database is accessible to a first database server that converts the PF data to a mirror format to produce MF data that is stored within volatile memory. The first database server receives, from a second database server, one or more change records indicating one or more transactions performed against a second database. The one or more change records are applied to the PF data, and a reference timestamp is advanced from a first to a second timestamp. The first database server invalidates any MF data that is changed by a subset of the one or more transactions that committed between the first and second timestamps.Type: GrantFiled: August 31, 2016Date of Patent: May 23, 2023Assignee: Oracle International CorporationInventors: Vasudha Krishnaswamy, Yunrui Li, Vivekanandhan Raja, Tirthankar Lahiri, Mahesh B. Girkar, Sukhada Pendse, Kartik Kulkarni, Jing Zheng, Shruti Gautam, Henry Chau
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Patent number: 11599421Abstract: A shared-nothing database system is provided in which parallelism and workload balancing are increased by assigning the rows of each table to “slices”, and storing multiple copies (“duplicas”) of each slice across the persistent storage of multiple nodes of the shared-nothing database system. When the data for a table is distributed among the nodes of a shared-nothing system in this manner, requests to read data from a particular row of the table may be handled by any node that stores a duplica of the slice to which the row is assigned. For each slice, a single duplica of the slice is designated as the “primary duplica”. All DML operations (e.g. inserts, deletes, updates, etc.) that target a particular row of the table are performed by the node that has the primary duplica of the slice to which the particular row is assigned. The changes made by the DML operations are then propagated from the primary duplica to the other duplicas (“secondary duplicas”) of the same slice.Type: GrantFiled: December 30, 2020Date of Patent: March 7, 2023Assignee: Oracle International CorporationInventors: Ajit Mylavarapu, Vasudha Krishnaswamy, Sukhada Pendse, Solmaz Kolahi, Ankita Kumar, Garret F. Swart, Tirthankar Lahiri, Juan R. Loaiza
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Publication number: 20230050727Abstract: A shared-nothing database system is provided in which parallelism and workload balancing are increased by assigning the rows of each table to “slices”, and storing multiple copies (“duplicas”) of each slice across the persistent storage of multiple nodes of the shared-nothing database system. When the data for a table is distributed among the nodes of a shared-nothing system in this manner, requests to read data from a particular row of the table may be handled by any node that stores a duplica of the slice to which the row is assigned. For each slice, a single duplica of the slice is designated as the “primary duplica”. All DML operations (e.g. inserts, deletes, updates, etc.) that target a particular row of the table are performed by the node that has the primary duplica of the slice to which the particular row is assigned. The changes made by the DML operations are then propagated from the primary duplica to the other duplicas (“secondary duplicas”) of the same slice.Type: ApplicationFiled: October 26, 2022Publication date: February 16, 2023Inventors: Jesse Kamp, Allison L. Holloway, Meichun Hsu, Hideaki Kimura, Boris Klots, Vasudha Krishnaswamy, Kartik Kulkarni, Teck Hua Lee, Yunrui Li, Aurosish Mishra, Ajit Mylavarapu, Sukhada Pendse, Garret F. Swart, Shasank K. Chavan, Tirthankar Lahiri, Juan R. Loaiza
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Patent number: 11550771Abstract: A shared-nothing database system is provided in which parallelism and workload balancing are increased by assigning the rows of each table to “slices”, and storing multiple copies (“duplicas”) of each slice across the persistent storage of multiple nodes of the shared-nothing database system. When the data for a table is distributed among the nodes of a shared-nothing system in this manner, requests to read data from a particular row of the table may be handled by any node that stores a duplica of the slice to which the row is assigned. For each slice, a single duplica of the slice is designated as the “primary duplica”. All DML operations (e.g. inserts, deletes, updates, etc.) that target a particular row of the table are performed by the node that has the primary duplica of the slice to which the particular row is assigned. The changes made by the DML operations are then propagated from the primary duplica to the other duplicas (“secondary duplicas”) of the same slice.Type: GrantFiled: October 14, 2020Date of Patent: January 10, 2023Assignee: Oracle International CorporationInventors: Jesse Kamp, Allison L. Holloway, Meichun Hsu, Hideaki Kimura, Boris Klots, Vasudha Krishnaswamy, Kartik Kulkarni, Teck Hua Lee, Yunrui Li, Aurosish Mishra, Ajit Mylavarapu, Sukhada Pendse, Garret F. Swart, Shasank K. Chavan, Tirthankar Lahiri, Juan R. Loaiza
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Patent number: 11514029Abstract: A shared-nothing database system is provided in which parallelism and workload balancing are increased by assigning the rows of each table to “slices”, and storing multiple copies (“duplicas”) of each slice across the persistent storage of multiple nodes of the shared-nothing database system. When the data for a table is distributed among the nodes of a shared-nothing system in this manner, requests to read data from a particular row of the table may be handled by any node that stores a duplica of the slice to which the row is assigned. For each slice, a single duplica of the slice is designated as the “primary duplica”. All DML operations (e.g. inserts, deletes, updates, etc.) that target a particular row of the table are performed by the node that has the primary duplica of the slice to which the particular row is assigned. The changes made by the DML operations are then propagated from the primary duplica to the other duplicas (“secondary duplicas”) of the same slice.Type: GrantFiled: December 29, 2020Date of Patent: November 29, 2022Assignee: Oracle International CorporationInventors: Vasudha Krishnaswamy, Sukhada Pendse, Solmaz Kolahi, Ankita Kumar, Ajit Mylavarapu, Garret F. Swart, Tirthankar Lahiri, Juan R. Loaiza
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Publication number: 20220114153Abstract: A shared-nothing database system is provided in which parallelism and workload balancing are increased by assigning the rows of each table to “slices”, and storing multiple copies (“duplicas”) of each slice across the persistent storage of multiple nodes of the shared-nothing database system. When the data for a table is distributed among the nodes of a shared-nothing system in this manner, requests to read data from a particular row of the table may be handled by any node that stores a duplica of the slice to which the row is assigned. For each slice, a single duplica of the slice is designated as the “primary duplica”. All DML operations (e.g. inserts, deletes, updates, etc.) that target a particular row of the table are performed by the node that has the primary duplica of the slice to which the particular row is assigned. The changes made by the DML operations are then propagated from the primary duplica to the other duplicas (“secondary duplicas”) of the same slice.Type: ApplicationFiled: October 14, 2020Publication date: April 14, 2022Inventors: Jesse Kamp, Allison L. Holloway, Meichun Hsu, Hideaki Kimura, Boris Klots, Vasudha Krishnaswamy, Kartik Kulkarni, Teck Hua Lee, Yunrui Li, Aurosish Mishra, Ajit Mylavarapu, Sukhada Pendse, Garret F. Swart, Shasank K. Chavan, Tirthankar Lahiri, Juan R. Loaiza
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Publication number: 20220114164Abstract: A shared-nothing database system is provided in which parallelism and workload balancing are increased by assigning the rows of each table to “slices”, and storing multiple copies (“duplicas”) of each slice across the persistent storage of multiple nodes of the shared-nothing database system. When the data for a table is distributed among the nodes of a shared-nothing system in this manner, requests to read data from a particular row of the table may be handled by any node that stores a duplica of the slice to which the row is assigned. For each slice, a single duplica of the slice is designated as the “primary duplica”. All DML operations (e.g. inserts, deletes, updates, etc.) that target a particular row of the table are performed by the node that has the primary duplica of the slice to which the particular row is assigned. The changes made by the DML operations are then propagated from the primary duplica to the other duplicas (“secondary duplicas”) of the same slice.Type: ApplicationFiled: December 29, 2020Publication date: April 14, 2022Inventors: Vasudha Krishnaswamy, Sukhada Pendse, Solmaz Kolahi, Ankita Kumar, Ajit Mylavarapu, Garret F. Swart, Tirthankar Lahiri, Juan R. Loaiza
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Publication number: 20220114058Abstract: A shared-nothing database system is provided in which parallelism and workload balancing are increased by assigning the rows of each table to “slices”, and storing multiple copies (“duplicas”) of each slice across the persistent storage of multiple nodes of the shared-nothing database system. When the data for a table is distributed among the nodes of a shared-nothing system in this manner, requests to read data from a particular row of the table may be handled by any node that stores a duplica of the slice to which the row is assigned. For each slice, a single duplica of the slice is designated as the “primary duplica”. All DML operations (e.g. inserts, deletes, updates, etc.) that target a particular row of the table are performed by the node that has the primary duplica of the slice to which the particular row is assigned. The changes made by the DML operations are then propagated from the primary duplica to the other duplicas (“secondary duplicas”) of the same slice.Type: ApplicationFiled: December 30, 2020Publication date: April 14, 2022Inventors: Ajit Mylavarapu, Vasudha Krishnaswamy, Sukhada Pendse, Solmaz Kolahi, Ankita Kumar, Garret F. Swart, Tirthankar Lahiri, Juan R. Loaiza
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Patent number: 10747752Abstract: Embodiments store transaction metadata in dedicated pools of allocated memory chunks. Portions of the pools of allocated memory chunks are dedicated to the respective apply slave processes that mine and process change records. Also, the pools of allocated memory chunks are anchored within the structure of a transaction log such that buffering and application of metadata for one transaction does not block required buffering and application of metadata for other transactions. The standby database system pre-processes transaction metadata in preparation for application of the metadata to invalidate appropriate portions of MF data. Further, embodiments divide the work of pre-processing invalidation records among the many apply slave processes that record the invalidation records. A garbage collection selects memory chunks for garbage collection in reverse order of how the chunks were allocated.Type: GrantFiled: February 9, 2018Date of Patent: August 18, 2020Assignee: Oracle International CorporationInventors: Vasudha Krishnaswamy, Kartik Kulkarni, Sukhada Pendse, Akshay Kulkarni
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Patent number: 10268746Abstract: Techniques are provided for maintaining data persistently in one format, but making that data available to a database server in more than one format. For example, one of the formats in which the data is made available for query processing is based on the on-disk format, while another of the formats in which the data is made available for query processing is independent of the on-disk format. Data that is in the format that is independent of the disk format may be maintained exclusively in volatile memory to reduce the overhead associated with keeping the data in sync with the on-disk format copies of the data.Type: GrantFiled: July 27, 2017Date of Patent: April 23, 2019Assignee: Oracle International CorporationInventors: Sanket Hase, Vivekanandhan Raja, Amit Ganesh, Vineet Marwah, Sukhada Pendse, Shuang Su, Atrayee Mullick
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Patent number: 10067974Abstract: Techniques are herein described for loading a portion of a database object into volatile memory without blocking database manipulation language transactions. The techniques involve invalidating data items loaded from blocks affected by a transaction, referred to as a straddling transaction that started before the load time and committed after the load time. Identifying these straddling transactions involves reviewing one or more transaction lists associated with the set of data items loaded in memory. The transaction list may be read in reverse temporal order of commit to identify a transaction meeting the criteria of starting before the load start, not committing before the load time, and affecting a data item loaded in memory.Type: GrantFiled: December 29, 2015Date of Patent: September 4, 2018Assignee: Oracle International CorporationInventors: Vivekanandhan Raja, Atrayee Mullick, Sanket Hase, Sukhada Pendse, Amit Ganesh, Vineet Marwah, Neil MacNaughton
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Publication number: 20180165324Abstract: Embodiments store transaction metadata in dedicated pools of allocated memory chunks. Portions of the pools of allocated memory chunks are dedicated to the respective apply slave processes that mine and process change records. Also, the pools of allocated memory chunks are anchored within the structure of a transaction log such that buffering and application of metadata for one transaction does not block required buffering and application of metadata for other transactions. The standby database system pre-processes transaction metadata in preparation for application of the metadata to invalidate appropriate portions of MF data. Further, embodiments divide the work of pre-processing invalidation records among the many apply slave processes that record the invalidation records. A garbage collection selects memory chunks for garbage collection in reverse order of how the chunks were allocated.Type: ApplicationFiled: February 9, 2018Publication date: June 14, 2018Inventors: Vasudha Krishnaswamy, Kartik Kulkarni, Sukhada Pendse, Akshay Kulkarni
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Publication number: 20170322999Abstract: Techniques are provided for maintaining data persistently in one format, but making that data available to a database server in more than one format. For example, one of the formats in which the data is made available for query processing is based on the on-disk format, while another of the formats in which the data is made available for query processing is independent of the on-disk format. Data that is in the format that is independent of the disk format may be maintained exclusively in volatile memory to reduce the overhead associated with keeping the data in sync with the on-disk format copies of the data.Type: ApplicationFiled: July 27, 2017Publication date: November 9, 2017Inventors: Sanket Hase, Vivekanandhan Raja, Amit Ganesh, Vineet Marwah, Sukhada Pendse, Shuang Su, Atrayee Mullick
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Patent number: 9798794Abstract: Techniques are provided for maintaining data persistently in one format, but making that data available to a database server in more than one format. For example, one of the formats in which the data is made available for query processing is based on the on-disk format, while another of the formats in which the data is made available for query processing is independent of the on-disk format. Data that is in the format that is independent of the disk format may be maintained exclusively in volatile memory to reduce the overhead associated with keeping the data in sync with the on-disk format copies of the data.Type: GrantFiled: January 25, 2016Date of Patent: October 24, 2017Assignee: Oracle International CorporationInventors: Sanket Hase, Vivekanandhan Raja, Amit Ganesh, Vineet Marwah, Sukhada Pendse, Shuang Su, Atrayee Mullick
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Publication number: 20170116252Abstract: Techniques related to query execution against an in-memory standby database are disclosed. A first database includes PF data stored on persistent storage in a persistent format. The first database is accessible to a first database server that converts the PF data to a mirror format to produce MF data that is stored within volatile memory. The first database server receives, from a second database server, one or more change records indicating one or more transactions performed against a second database. The one or more change records are applied to the PF data, and a reference timestamp is advanced from a first to a second timestamp. The first database server invalidates any MF data that is changed by a subset of the one or more transactions that committed between the first and second timestamps.Type: ApplicationFiled: August 31, 2016Publication date: April 27, 2017Inventors: Vasudha Krishnaswamy, Yunrui Li, Vivekanandhan Raja, Tirthankar Lahiri, Mahesh B. Girkar, Sukhada Pendse, Kartik Kulkarni, Jing Zheng, Shruti Gautam, Henry Chau