Patents by Inventor Hailun Yan
Hailun Yan 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: 11892976Abstract: Embodiments described herein facilitate enhancement of data model acceleration, including generating data model summaries and performing searches in an accelerated manner. In one implementation, obtaining a search query from a user device. A determination may be made to execute a search, in association with the search query, via an external computing service. As such, the search query, or a variant thereof, can be provided to the external computing service, wherein the external computing service executes the search using data model summaries stored in a remote data store that is separate from a set of events from which the data model summaries were generated. A set of search results are received from the external computing service, and such search results are provided to the user device.Type: GrantFiled: January 29, 2021Date of Patent: February 6, 2024Assignee: Splunk Inc.Inventors: Alexandros Batsakis, Ankit Jain, Manu Jose, Jonah Pan, Hailun Yan
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Patent number: 11841827Abstract: Embodiments described herein facilitate enhancement of data model acceleration, including generating data model summaries and performing searches in an accelerated manner. In one implementation, a set of events are indexed, each of the events having a corresponding index time representing a time at which the event was indexed in an indexer. Index time parameters including an index earliest time indicating a first index time at which to begin generating a data model summary and an index latest time indicating a second index time at which to complete generating the data model summary are obtained. Thereafter, a data model summary is generated. Such a data model summary summarizes events having corresponding index times between the index earliest time and the index latest time. The data model summary is provided to a remote data store that is separate from the indexer at which at least a portion of the events were indexed.Type: GrantFiled: January 29, 2021Date of Patent: December 12, 2023Assignee: Splunk Inc.Inventors: Alexandros Batsakis, Ankit Jain, Manu Jose, Jonah Pan, Hailun Yan
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Publication number: 20220245093Abstract: Embodiments described herein facilitate enhancement of data model acceleration, including generating data model summaries and performing searches in an accelerated manner. In one implementation, obtaining a search query from a user device. A determination may be made to execute a search, in association with the search query, via an external computing service. As such, the search query, or a variant thereof, can be provided to the external computing service, wherein the external computing service executes the search using data model summaries stored in a remote data store that is separate from a set of events from which the data model summaries were generated. A set of search results are received from the external computing service, and such search results are provided to the user device.Type: ApplicationFiled: January 29, 2021Publication date: August 4, 2022Inventors: Alexandros Batsakis, Ankit Jain, Manu Jose, Jonah Pan, Hailun Yan
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Publication number: 20220245091Abstract: Embodiments described herein facilitate enhancement of data model acceleration, including generating data model summaries and performing searches in an accelerated manner. In one implementation, a set of events are indexed, each of the events having a corresponding index time representing a time at which the event was indexed in an indexer. Index time parameters including an index earliest time indicating a first index time at which to begin generating a data model summary and an index latest time indicating a second index time at which to complete generating the data model summary are obtained. Thereafter, a data model summary is generated. Such a data model summary summarizes events having corresponding index times between the index earliest time and the index latest time. The data model summary is provided to a remote data store that is separate from the indexer at which at least a portion of the events were indexed.Type: ApplicationFiled: January 29, 2021Publication date: August 4, 2022Inventors: Alexandros Batsakis, Ankit Jain, Manu Jose, Jonah Pan, Hailun Yan
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Patent number: 11314758Abstract: The disclosed embodiments include a method performed by a data intake and query system to store and query metrics data. The method includes ingesting metrics, where each metric includes key values and numerical value indicative of a measured characteristic of a computing resource. The method further includes populating a first portion of a metric-series index (msidx) file with the key values and a second portion of the msidx file with numerical values indicative of a measured characteristic, where the first portion is distinct from the second portion. The method further includes receiving a query including criteria, evaluating the query by applying the criteria to the first portion of the msidx file to obtain query results indicative of metrics that satisfy the criteria, and displaying, on a display device, the query results or data indicative of the query results.Type: GrantFiled: January 30, 2020Date of Patent: April 26, 2022Assignee: SPLUNK INC.Inventors: David Ryan Marquardt, Hailun Yan, Christopher Pride, Vishal Patel
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Patent number: 11188550Abstract: The disclosed embodiments include a method performed by a data intake and query system. The method includes ingesting each metric including at least one key value and a measured value taken of a computing resource, and storing each metric in an index of a metrics store, where the index defines at least one dimension populated with the at least one key value and a measure populated with the measured value. The method further includes cataloging metadata in a metrics catalog, where the metadata is related to the metrics stored in the metrics store, performing an analysis of metrics data included in the metrics store and/or the metrics catalog to obtain results, and causing display of the results or an indication of the results on a display device.Type: GrantFiled: October 31, 2016Date of Patent: November 30, 2021Assignee: SPLUNK INC.Inventors: Thomas Allan Haggie, Clint Sharp, Alexander Douglas James, David Ryan Marquardt, Hailun Yan, Christopher Pride, Vishal Patel, Amrittpal Singh Bath, Pratiksha Shah, Murugan Kandaswamy, Steve Yu Zhang, Ledion Bitincka, David E. Simmen, Marc Andre Chene, Esguerra Ma Kharisma, Igor Stojanovski
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Patent number: 11144608Abstract: Embodiments of the present invention are directed to facilitating data model acceleration in association with an external data system. In accordance with aspects of the present disclosure, at a core engine, a search request associated with a data model is received. The data model generally designates one or more fields, from among a plurality of fields, that are of interest for subsequent searches. Thereafter, it is determined that an accelerated data model summary associated with the data model is stored at an external data system remote from the core engine that received the search request. The accelerated data model summary includes field values associated with the one or more fields designated in the data model. A search for the received search request is initiated using the accelerated data model summary at the external data. A set of search results relevant to the search request is obtained and provided to a user device for display to a user.Type: GrantFiled: June 12, 2020Date of Patent: October 12, 2021Assignee: Splunk Inc.Inventors: Hailun Yan, Ledion Bitincka, Kishore Reddy Ramasayam, Elizabeth Lin, David Ryan Marquardt
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Publication number: 20200334309Abstract: Embodiments of the present invention are directed to facilitating data model acceleration in association with an external data system. In accordance with aspects of the present disclosure, at a core engine, a search request associated with a data model is received. The data model generally designates one or more fields, from among a plurality of fields, that are of interest for subsequent searches. Thereafter, it is determined that an accelerated data model summary associated with the data model is stored at an external data system remote from the core engine that received the search request. The accelerated data model summary includes field values associated with the one or more fields designated in the data model. A search for the received search request is initiated using the accelerated data model summary at the external data. A set of search results relevant to the search request is obtained and provided to a user device for display to a user.Type: ApplicationFiled: June 12, 2020Publication date: October 22, 2020Inventors: Hailun Yan, Ledion Bitincka, Kishore Reddy Ramasayam, Elizabeth Lin, David Ryan Marquardt
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Patent number: 10713314Abstract: Embodiments are directed to facilitating data model acceleration in association with an external data system. In some embodiments, at a core engine, a search request associated with a data model is received. The data model generally designates one or more fields, from among a plurality of fields of interest for subsequent searches. Thereafter, it is determined that an accelerated data model summary associated with the data model is stored at an external data system remote from the core engine that received the search request. The accelerated data model summary includes field values associated with the one or more fields designated in the data model. A search for the received search request is initiated using the accelerated data model summary at the external data. A set of search results relevant to the search request is obtained and provided to a user device for display to a user.Type: GrantFiled: January 29, 2016Date of Patent: July 14, 2020Assignee: SPLUNK INC.Inventors: Hailun Yan, Ledion Bitincka, Kishore Reddy Ramasayam, Elizabeth Lin, David Ryan Marquardt
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Publication number: 20200167349Abstract: The disclosed embodiments include a method performed by a data intake and query system to store and query metrics data. The method includes ingesting metrics, where each metric includes key values and numerical value indicative of a measured characteristic of a computing resource. The method further includes populating a first portion of a metric-series index (msidx) file with the key values and a second portion of the msidx file with numerical values indicative of a measured characteristic, where the first portion is distinct from the second portion. The method further includes receiving a query including criteria, evaluating the query by applying the criteria to the first portion of the msidx file to obtain query results indicative of metrics that satisfy the criteria, and displaying, on a display device, the query results or data indicative of the query results.Type: ApplicationFiled: January 30, 2020Publication date: May 28, 2020Inventors: David Ryan Marquardt, Hailun Yan, Christopher Pride, Vishal Patel
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Patent number: 10642852Abstract: The disclosed embodiments include a method performed by a data intake and query system to store and query metrics data. The method includes ingesting metrics, where each metric includes key values and numerical value indicative of a measured characteristic of a computing resource. The method further includes populating a first portion of a metric-series index (msidx) file with the key values and a second portion of the msidx file with numerical values indicative of a measured characteristic, where the first portion is distinct from the second portion. The method further includes receiving a query including criteria, evaluating the query by applying the criteria to the first portion of the msidx file to obtain query results indicative of metrics that satisfy the criteria, and displaying, on a display device, the query results or data indicative of the query results.Type: GrantFiled: October 31, 2016Date of Patent: May 5, 2020Assignee: SPLUNK INC.Inventors: David Ryan Marquardt, Hailun Yan, Christopher Pride, Vishal Patel
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Publication number: 20180089290Abstract: The disclosed embodiments include a method performed by a data intake and query system. The method includes ingesting each metric including at least one key value and a measured value taken of a computing resource, and storing each metric in an index of a metrics store, where the index defines at least one dimension populated with the at least one key value and a measure populated with the measured value. The method further includes cataloging metadata in a metrics catalog, where the metadata is related to the metrics stored in the metrics store, performing an analysis of metrics data included in the metrics store and/or the metrics catalog to obtain results, and causing display of the results or an indication of the results on a display device.Type: ApplicationFiled: October 31, 2016Publication date: March 29, 2018Inventors: Thomas Allan Haggie, Clint Sharp, Alexander Douglas James, David Ryan Marquardt, Hailun Yan, Christopher Pride, Vishal Patel, Amrittpal Singh Bath, Pratiksha Shah, Murugan Kandaswamy, Steve Yu Zhang, Ledion Bitincka, David E. Simmen, Marc Andre Chene, Esguerra Ma Kharisma, Igor Stojanovski
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Publication number: 20180089288Abstract: The disclosed embodiments include a method performed by a data intake and query system. The method includes providing a user interface enabling access to a metrics store, where the metrics store maintains metrics stored in an index, each metric represents a measured value taken of a computing device, and the index defines at least one dimension associated with each measured value. The method further includes receiving an input provided via the user interface to search metric data in the metrics store, causing display, via the user interface, of the metrics data.Type: ApplicationFiled: October 31, 2016Publication date: March 29, 2018Inventors: Thomas Allan Haggie, Hailun Yan, Clint Sharp, Marc Andre Chene
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Publication number: 20180089286Abstract: The disclosed embodiments include a method performed by a data intake and query system to store and query metrics data. The method includes ingesting metrics, where each metric includes key values and numerical value indicative of a measured characteristic of a computing resource. The method further includes populating a first portion of a metric-series index (msidx) file with the key values and a second portion of the msidx file with numerical values indicative of a measured characteristic, where the first portion is distinct from the second portion. The method further includes receiving a query including criteria, evaluating the query by applying the criteria to the first portion of the msidx file to obtain query results indicative of metrics that satisfy the criteria, and displaying, on a display device, the query results or data indicative of the query results.Type: ApplicationFiled: October 31, 2016Publication date: March 29, 2018Inventors: David Ryan Marquardt, Hailun Yan, Christopher Pride, Vishal Patel
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Publication number: 20170220685Abstract: Embodiments of the present invention are directed to facilitating data model acceleration in association with an external data system. In accordance with aspects of the present disclosure, at a core engine, a search request associated with a data model is received. The data model generally designates one or more fields, from among a plurality of fields, that are of interest for subsequent searches. Thereafter, it is determined that an accelerated data model summary associated with the data model is stored at an external data system remote from the core engine that received the search request. The accelerated data model summary includes field values associated with the one or more fields designated in the data model. A search for the received search request is initiated using the accelerated data model summary at the external data. A set of search results relevant to the search request is obtained and provided to a user device for display to a user.Type: ApplicationFiled: January 29, 2016Publication date: August 3, 2017Inventors: Hailun Yan, Ledion Bitincka, Kishore Reddy Ramasayam, Elizabeth Lin, David Ryan Marquardt