会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明授权
    • Method and apparatus for selecting an optimal delete-safe compression method on list of delta encoded integers
    • 用于在增量编码整数列表上选择最佳删除安全压缩方法的方​​法和装置
    • US08990173B2
    • 2015-03-24
    • US12056979
    • 2008-03-27
    • Bishwaranjan BhattacharjeeLipyeow LimTimothy Ray MalkemusGeorge Andrei Mihaila
    • Bishwaranjan BhattacharjeeLipyeow LimTimothy Ray MalkemusGeorge Andrei Mihaila
    • G06F7/00H03M7/30
    • H03M7/30
    • Techniques are disclosed for selecting a delete-safe compression method for a plurality of delta encoded data values (e.g., delta encoded integers or deltas). For example, a computer-implemented method for selecting an optimal delete-safe compression algorithm from among two or more compression algorithms for use on a plurality of delta encoded data values includes the following steps. The maximum number of data values eliminated by each of the two or more compression algorithms is computed. For the plurality of delta encoded data values to be compressed, the minimum size of the plurality of delta encoded data values before compression thereof is computed. A delete-safe threshold value is computed based on the minimum size of the plurality of delta encoded data values. Then, the compression algorithm is selected from the two or more compression algorithms that achieves the delete-safe threshold value.
    • 公开了用于为多个增量编码的数据值(例如,增量编码的整数或三角形)选择删除安全的压缩方法的技术。 例如,用于从用于多个增量编码数据值的两个或更多个压缩算法中选择最佳删除安全压缩算法的计算机实现的方法包括以下步骤。 计算由两个或更多个压缩算法中的每一个消除的数据值的最大数目。 对于要压缩的多个delta编码数据值,计算其压缩之前的多个Δ编码数据值的最小大小。 基于多个增量编码数据值的最小大小来计算删除安全阈值。 然后,从实现删除安全​​阈值的两个或更多个压缩算法中选择压缩算法。
    • 2. 发明授权
    • Method and apparatus for encoding list of variable length structures to support bi-directional scans
    • 用于编码可变长度结构列表以支持双向扫描的方法和装置
    • US08126929B2
    • 2012-02-28
    • US12057012
    • 2008-03-27
    • Bishwaranjan BhattacharjeeLipyeow LimTimothy Ray MalkemusGeorge Andrei Mihaila
    • Bishwaranjan BhattacharjeeLipyeow LimTimothy Ray MalkemusGeorge Andrei Mihaila
    • G06F17/30
    • G06F17/30958G06F17/30286
    • Techniques are disclosed for encoding a variable length structure such that it facilitates forward and reverse scans of a list of such structures as needed. While the techniques are applicable to a wide variety of applications, they are particularly well-suited for use with structures such as those found in compressed database indexes. For example, a computer-implemented method for processing one or more variable length data structures includes the following steps. Each variable length data structure is obtained. Each variable length structure comprises one or more data block. A variable length encoding process is applied to the one or more blocks of each variable length data structure which comprises setting a continuation data value in each block to a first value or a second value, wherein the setting of the continuation data values enables bi-directional scanning of each variable length structure.
    • 公开了用于编码可变长度结构的技术,使得其有助于正向和反向扫描所需的这种结构的列表。 虽然这些技术适用于各种各样的应用,但它们特别适用于诸如在压缩数据库索引中发现的结构。 例如,用于处理一个或多个可变长度数据结构的计算机实现的方法包括以下步骤。 获得每个可变长度数据结构。 每个可变长度结构包括一个或多个数据块。 可变长度编码处理被应用于每个可变长度数据结构的一个或多个块,其包括将每个块中的连续数据值设置为第一值或第二值,其中,连续数据值的设置允许双向 扫描每个可变长度结构。
    • 5. 发明授权
    • Managing database object placement on multiple storage devices
    • 管理多个存储设备上的数据库对象放置
    • US09165021B2
    • 2015-10-20
    • US12423247
    • 2009-04-14
    • Bishwaranjan BhattacharjeeMustafa CanimGeorge Andrei Mihaila
    • Bishwaranjan BhattacharjeeMustafa CanimGeorge Andrei Mihaila
    • G06F7/00G06F17/30
    • G06F17/30312G06F17/30424G06F17/30864
    • A method, information processing system, and computer program storage product optimize the placement of database objects on a multiplicity of storage devices. A set of database objects are placed on a first storage device in a multiplicity of storage devices. Each storage device comprises differing characteristics. A query workload is run on the set of database objects that have been placed on the first storage device. Profiling information associated with the query workload that is running is collected. A subset of database objects is selected from the set of the database objects to be stored on a second storage device. The second storage device is a separate physical device from, and performs faster than, the first storage device. The subset of database objects is stored on the second storage device and all remaining database objects in the set of database objects on the first storage device.
    • 一种方法,信息处理系统和计算机程序存储产品优化数据库对象在多个存储设备上的放置。 一组数据库对象被放置在多个存储设备中的第一存储设备上。 每个存储设备包括不同的特征。 在已经放置在第一个存储设备上的数据库对象集上运行查询工作负载。 收集与正在运行的查询工作负载相关联的分析信息。 从要存储在第二存储设备上的数据库对象的集合中选择数据库对象的子集。 第二存储设备是与第一存储设备不同的并且执行得比第一存储设备更快的单独的物理设备。 数据库对象的子集存储在第二存储设备上,并且存储在第一存储设备上的数据库对象集合中的所有剩余的数据库对象。
    • 7. 发明申请
    • Statistics collection using path-value pairs for relational databases
    • 使用关系数据库的路径值对的统计信息收集
    • US20070271218A1
    • 2007-11-22
    • US11435353
    • 2006-05-16
    • Lipyeow LimGeorge Andrei MihailaMin Wang
    • Lipyeow LimGeorge Andrei MihailaMin Wang
    • G06F17/30
    • G06F17/30442G06F17/30306Y10S707/99931Y10S707/99932Y10S707/99933Y10S707/99944Y10S707/99953
    • A method, system, and computer readable medium for collecting statistics associated with data in a database are disclosed. The method comprises determining an amount of memory needed to collect statistics for data associated with a defined data type in a relational database. The defined data type is based upon a mark-up language using a tree structure with one or more root-to-node paths therein. The amount of memory is allocated as determined for collecting the statistics for the data of the defined data type. A statistics collection is performed for the data of the defined data type in a single pass through the database and within the amount of memory which has been allocated. The performing includes at least determining a total number of instances of at least one path-identifier associated with a given value within a given set of documents.
    • 公开了一种用于收集与数据库中的数据相关联的统计信息的方法,系统和计算机可读介质。 该方法包括确定为关系数据库中与定义的数据类型相关联的数据收集统计信息所需的存储器量。 定义的数据类型基于使用具有一个或多个根到节点路径的树结构的标记语言。 分配的内存量被确定为收集定义的数据类型的数据的统计信息。 在通过数据库的单次传递中以及已经分配的内存量中,对定义的数据类型的数据执行统计信息收集。 执行包括至少确定与给定文档集合内的给定值相关联的至少一个路径标识符的实例的总数。
    • 10. 发明申请
    • STATISTICS COLLECTION USING PATH-VALUE PAIRS FOR RELATIONAL DATABASES
    • 统计数据采集路径值对相关数据库
    • US20100161930A1
    • 2010-06-24
    • US12341309
    • 2008-12-22
    • LIPYEOW LIMGeorge Andrei MihailaMin Wang
    • LIPYEOW LIMGeorge Andrei MihailaMin Wang
    • G06F12/02
    • G06F17/30935G06F17/30911
    • A method, system, and computer readable medium for collecting statistics associated with data in a database are disclosed. The method comprises determining an amount of memory needed to collect statistics for data associated with a defined data type in a relational database. The defined data type is based upon a mark-up language using a tree structure with one or more root-to-node paths therein. The amount of memory is allocated as determined for collecting the statistics for the data of the defined data type. A statistics collection is performed for the data of the defined data type in a single pass through the database and within the amount of memory which has been allocated. The performing includes at least determining a total number of instances of at least one path-identifier associated with a given value within a given set of documents.
    • 公开了一种用于收集与数据库中的数据相关联的统计信息的方法,系统和计算机可读介质。 该方法包括确定为关系数据库中与定义的数据类型相关联的数据收集统计信息所需的存储器量。 定义的数据类型基于使用具有一个或多个根到节点路径的树结构的标记语言。 分配的内存量被确定为收集定义的数据类型的数据的统计信息。 在通过数据库的单次传递中以及已经分配的内存量中,对定义的数据类型的数据执行统计信息收集。 执行包括至少确定与给定文档集合内的给定值相关联的至少一个路径标识符的实例的总数。