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公开(公告)号：US11347678B2
公开(公告)日：2022-05-31
申请号：US16055978
申请日：2018-08-06
Applicant: Oracle International Corporation
Inventor： Tirthankar Lahiri , Juan R. Loaiza , Garret F. Swart , Jesse Kamp , Avneesh Pant , Hideaki Kimura
IPC: G06F9/54 , G06F15/173 , G06F15/167 , G06F9/455
Abstract: Techniques are provided to allow more sophisticated operations to be performed remotely by machines that are not fully functional. Operations that can be performed reliably by a machine that has experienced a hardware and/or software error are referred to herein as Remote Direct Memory Operations or “RDMOs”. Unlike RDMAs, which typically involve trivially simple operations such as the retrieval of a single value from the memory of a remote machine, RDMOs may be arbitrarily complex. The techniques described herein can help applications run without interruption when there are software faults or glitches on a remote system with which they interact.
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公开(公告)号：US10803039B2
公开(公告)日：2020-10-13
申请号：US15606322
申请日：2017-05-26
Applicant: Oracle International Corporation
Inventor： Siddharth Teotia , Krishna Kunchithapadam , Jesse Kamp , Tirthankar Lahiri , Michael J. Gleeson , Juan R. Loaiza , Garret F. Swart , Neil J. S. MacNaughton , Kam Shergill
IPC: G06F12/1045 , G06F15/173 , G06F16/22 , G06F16/907
Abstract: Techniques are provided for enabling a requesting entity to retrieve data that is managed by a database server instance from the volatile memory of a server machine that is executing the database server instance. The techniques allow the requesting entity to retrieve the data from the volatile memory of the host server machine without involving the database server instance in the retrieval operation. Because the retrieval does not involve the database server instance, the retrieval may succeed even when the database server instance has stalled or become unresponsive. In addition, direct retrieval of data using the techniques described herein will often be faster and more efficient than retrieval of the same information through conventional interaction with the database server instance.
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公开(公告)号：US20190294558A1
公开(公告)日：2019-09-26
申请号：US16435101
申请日：2019-06-07
Applicant: Oracle International Corporation
Inventor： Siddharth Teotia , Krishna Kunchithapadam , Tirthankar Lahiri , Jesse Kamp , Michael J. Gleeson , Juan R. Loaiza , Garret F. Swart , Neil J.S. MacNaughton , Kam Shergill
IPC: G06F12/1018 , G06F16/2453 , G06F16/22 , G06F12/126 , G06F12/0864 , G06F12/0868 , G06F12/128 , G06F16/901
Abstract: A hashing scheme includes a cache-friendly, latchless, non-blocking dynamically resizable hash index with constant-time lookup operations that is also amenable to fast lookups via remote memory access. Specifically, the hashing scheme provides each of the following features: latchless reads, fine grained lightweight locks for writers, non-blocking dynamic resizability, cache-friendly access, constant-time lookup operations, amenable to remote memory access via RDMA protocol through one sided read operations, as well as non-RDMA access.
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公开(公告)号：US09965501B2
公开(公告)日：2018-05-08
申请号：US14955368
申请日：2015-12-01
Applicant: Oracle International Corporation
Inventor： Lawrence J. Ellison , Amit Ganesh , Vineet Marwah , Jesse Kamp , Anindya C. Patthak , Shasank K. Chavan , Michael J. Gleeson , Allison L. Holloway , Manosiz Bhattacharyya
CPC classification number: G06F17/30315 , G06F9/3887 , G06F17/30339 , G06F17/30595
Abstract: Techniques are provided for more efficiently using the bandwidth of the I/O path between a CPU and volatile memory during the performance of database operation. Relational data from a relational table is stored in volatile memory as column vectors, where each column vector contains values for a particular column of the table. A binary-comparable format may be used to represent each value within a column vector, regardless of the data type associated with the column. The column vectors may be compressed and/or encoded while in volatile memory, and decompressed/decoded on-the-fly within the CPU. Alternatively, the CPU may be designed to perform operations directly on the compressed and/or encoded column vector data. In addition, techniques are described that enable the CPU to perform vector processing operations on the column vector values.
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15.发明授权公开(公告)号：US09697174B2
公开(公告)日：2017-07-04
申请号：US14023249
申请日：2013-09-10
Applicant: Oracle International Corporation
Inventor： Amit Ganesh , Shasank K. Chavan , Vineet Marwah , Jesse Kamp , Anindya C. Patthak , Michael J. Gleeson , Allison L. Holloway , Roger Macnicol
CPC classification number: G06F15/8007 , G06F17/30315
Abstract: A method and apparatus for efficiently processing data in various formats in a single instruction multiple data (“SIMD”) architecture is presented. Specifically, a method to unpack a fixed-width bit values in a bit stream to a fixed width byte stream in a SIMD architecture is presented. A method to unpack variable-length byte packed values in a byte stream in a SIMD architecture is presented. A method to decompress a run length encoded compressed bit-vector in a SIMD architecture is presented. A method to return the offset of each bit set to one in a bit-vector in a SIMD architecture is presented. A method to fetch bits from a bit-vector at specified offsets relative to a base in a SIMD architecture is presented. A method to compare values stored in two SIMD registers is presented.
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Patent Agency Ranking
公开(公告)号：US20160085834A1
公开(公告)日：2016-03-24
申请号：US14823393
申请日：2015-08-11
Applicant: Oracle International Corporation
Inventor： Michael J. Gleeson , Jesse Kamp , Vineet Marwah , Tirthankar Lahiri , Juan R. Loaiza , Sanket Hase , Niloy Mukherjee , Sujatha Muthulingam , Atrayee Mullick , Allison L. Holloway
IPC: G06F17/30
CPC classification number: G06F17/30339 , G06F17/30377 , G06F17/30578
Abstract: To prioritize repopulation of in-memory compression units (IMCU), a database server compresses, into an IMCU, a plurality of data units from a database table. In response to changes to any of the plurality of data units within the database table, the database server performs the steps of: (a) invalidating corresponding data units in the IMCU; (b) incrementing an invalidity counter of the IMCU that reflects how many data units within the IMCU have been invalidated; (c) receiving a data request that targets one or more of the plurality of data units of the database table; (d) in response to receiving the data request, incrementing an access counter of the IMCU; and (e) determining a priority for repopulating the IMCU based, at least in part, on the invalidity counter and the access counter.
Abstract translation: 为了优先重新填充内存中的压缩单元（IMCU），数据库服务器从数据库表将多个数据单元压缩到IMCU中。 响应于对数据库表内的多个数据单元中的任一个的改变，数据库服务器执行以下步骤：（a）使IMCU中的相应数据单元无效; （b）增加反映IMCU内有多少数据单位无效的IMCU的无效计数器; （c）接收针对所述数据库表的所述多个数据单元中的一个或多个的数据请求; （d）响应于接收到数据请求，递增IMCU的访问计数器; 以及（e）至少部分地基于无效计数器和访问计数器确定重新填充IMCU的优先级。
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公开(公告)号：US20160034214A1
公开(公告)日：2016-02-04
申请号：US14881356
申请日：2015-10-13
Applicant: Oracle International Corporation
Inventor： Jesse Kamp , Amit Ganesh , Vineet Marwah , Vivekanandhan Raja , Tirthankar Lahiri , Allison L. Holloway , Sanket Hase , Shasank K. Chavan , Niloy Mukherjee , Teck Hua Lee , Michael J. Gleeson , Krishna Kunchithapadam
CPC classification number: G06F17/30377 , G06F3/0619 , G06F3/065 , G06F3/0665 , G06F3/0689 , G06F11/2058 , G06F17/30315 , G06F17/30442 , G06F17/30575 , G06F17/30581 , G06F2201/80 , G06F2201/855
Abstract: 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.
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公开(公告)号：US20150088830A1
公开(公告)日：2015-03-26
申请号：US14337179
申请日：2014-07-21
Applicant: Oracle International Corporation
Inventor： Jesse Kamp , Amit Ganesh , Vineet Marwah , Vivekanandhan Raja , Tirthankar Lahiri , Allison L. Holloway , Sanket Hase , Shasank K. Chavan , Niloy Mukherjee , Teck Hua Lee , Michael J. Gleeson , Krishna Kunchithapadam
IPC: G06F17/30
CPC classification number: G06F17/30377 , G06F3/0619 , G06F3/065 , G06F3/0665 , G06F3/0689 , G06F11/2058 , G06F17/30315 , G06F17/30442 , G06F17/30575 , G06F17/30581 , G06F2201/80 , G06F2201/855
Abstract: 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.
Abstract translation: 提供的技术用于以一种格式持续保持数据，但使数据库可以以多种格式提供给数据库服务器。 例如，数据可用于查询处理的格式之一是基于磁盘格式，而数据可用于查询处理的另一种格式与磁盘格式无关。 独立于磁盘格式的格式的数据可以专门保存在易失性存储器中，以减少与保持数据与数据的磁盘格式副本同步的开销。
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公开(公告)号：US20150088824A1
公开(公告)日：2015-03-26
申请号：US14337045
申请日：2014-07-21
Applicant: Oracle International Corporation
Inventor： Jesse Kamp , Vineet Marwah , Amit Ganesh , Michael Gleeson , Maheswaran Venkatachalam , Allison Holloway , Niloy Mukherjee , Sanket Hase
IPC: G06F17/30
CPC classification number: G06F17/30315 , G06F3/0604 , G06F3/064 , G06F3/065 , G06F3/0689 , G06F12/0815 , G06F12/1018 , G06F15/78 , G06F15/8007 , G06F15/8076 , G06F15/8084 , G06F17/30312 , G06F17/30377 , G06F17/30477 , G06F17/30595 , G06F2003/0697 , G06F2212/1021 , G06F2212/1032 , G06F2212/2542 , G06F2212/313
Abstract: Techniques are provided for granular load and refresh of columnar data. In an embodiment, a particular data object that contains particular data formatted different from column-major format is maintained, the particular data including first data and second data. First and second data objects contain the first and second data, respectively, organized in the column-major format. In response to changes being committed to the first data in the particular data object, invalidating one or more rows of the first data object. In response to a number of invalidated rows of the first data object exceeding a threshold, automatically performing a refresh operation on the first data object independent of any refresh operation on the second data object.
Abstract translation: 提供了粒度负载和刷新柱状数据的技术。 在一个实施例中，保持包含格式不同于列主格式的特定数据的特定数据对象，该特定数据包括第一数据和第二数据。 第一和第二数据对象分别包含以列主格式组织的第一和第二数据。 响应于对特定数据对象中的第一数据提交的更改，使第一数据对象的一行或多行无效。 响应于第一数据对象的多个无效行超过阈值，自动对第一数据对象执行刷新操作，而与第二数据对象上的任何刷新操作无关。
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公开(公告)号：US20140013076A1
公开(公告)日：2014-01-09
申请号：US14023064
申请日：2013-09-10
Applicant: Oracle International Corporation
Inventor： Amit Ganesh , Shasank K. Chavan , Vineet Marwah , Jesse Kamp , Anindya C. Patthak , Michael J. Gleeson , Allison L. Holloway , Roger Macnicol
IPC: G06F9/30
CPC classification number: G06F9/30036 , G06F9/30032 , G06F17/30315
Abstract: A method and apparatus for efficiently processing data in various formats in a single instruction multiple data (“SIMD”) architecture is presented. Specifically, a method to unpack a fixed-width bit values in a bit stream to a fixed width byte stream in a SIMD architecture is presented. A method to unpack variable-length byte packed values in a byte stream in a SIMD architecture is presented. A method to decompress a run length encoded compressed bit-vector in a SIMD architecture is presented. A method to return the offset of each bit set to one in a bit-vector in a SIMD architecture is presented. A method to fetch bits from a bit-vector at specified offsets relative to a base in a SIMD architecture is presented. A method to compare values stored in two SIMD registers is presented.
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