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    • 2. 发明授权
    • Incremental cardinality estimation for a set of data values
    • 一组数据值的增量基数估计
    • US07496584B2
    • 2009-02-24
    • US11463294
    • 2006-08-08
    • Walid RjaibiPeter Jay Haas
    • Walid RjaibiPeter Jay Haas
    • G06F17/30
    • G06F17/30469Y10S707/941Y10S707/959Y10S707/99937Y10S707/99942Y10S707/99943Y10S707/99944Y10S707/99945Y10S707/99953
    • A method for incrementally maintaining column cardinality estimates in database management systems. In one embodiment, the system includes system catalog table containing a cardinality estimate for a column that is extended to include an appropriate data structure. A modified linear counting technique is used in a first embodiment of a method for column cardinality estimation. The cardinality estimate is produced by an initial scan of the data but is then further maintained without requiring a full scan of the data. Data changes are reflected incrementally in modifications to the initial cardinality estimate, keeping the cardinality statistics more current with respect to the database condition. The technique of the invention typically provides a capability for a database management system to produce more efficient search plans providing more effective responses to user queries through the use of improved cardinality statistics.
    • 一种在数据库管理系统中逐行维护列基数估计的方法。 在一个实施例中,系统包括系统目录表,其包含扩展为包括适当的数据结构的列的基数估计。 在列基数估计方法的第一实施例中使用经修改的线性计数技术。 基数估计是通过数据的初始扫描产生的,然后进一步维持,而不需要对数据进行全面扫描。 在初始基数估计的修改中,数据变化逐渐反映出来,保持基数统计信息相对于数据库条件更新。 本发明的技术通常提供了一种数据库管理系统产生更有效的搜索计划的能力,通过使用改进的基数统计来提供对用户查询的更有效的响应。
    • 8. 发明申请
    • ACCESS CONTROL FOR ELEMENTS IN A DATABASE OBJECT
    • 数据库对象中元素的访问控制
    • US20080275880A1
    • 2008-11-06
    • US12138312
    • 2008-06-12
    • Paul Miller BIRDWalid Rjaibi
    • Paul Miller BIRDWalid Rjaibi
    • G06F21/00G06F17/30
    • G06F21/6227
    • A system for controlling access to elements in a database object are provided. The system provides for receiving a request from a user to access the database object, determining whether an access restriction is imposed on the database object, and controlling access to the elements in the database object by the user based on the access restriction. The access restriction specifies one or more users to which the access restriction is applicable, defines a dynamic condition the one or more users must satisfy in order to access the database object, and identifies one or more of the elements in the database object accessible to the one or more users when the dynamic condition is satisfied.
    • 提供了用于控制对数据库对象中的元素的访问的系统。 系统提供从用户接收访问数据库对象的请求,确定对数据库对象是否施加访问限制,以及基于访问限制来控制用户对数据库对象中的元素的访问。 访问限制指定访问限制适用于的一个或多个用户,定义一个或多个用户必须满足以访问数据库对象的动态条件,并且识别可访问的数据库对象中的一个或多个元素 当满足动态条件时,一个或多个用户。
    • 9. 发明申请
    • Computing frequent value statistics in a partitioned relational database
    • 计算分区关系数据库中的频繁值统计
    • US20050021287A1
    • 2005-01-27
    • US10872679
    • 2004-06-21
    • Walid Rjaibi
    • Walid Rjaibi
    • G06F15/00G06F17/18G06F17/30
    • G06F17/30595
    • Systems, methods and program products for computing frequent value statistics such as frequent values in a column in a partitioned relational database, that may be employed across a number of nodes of a partitioned relational database and a case where a column is the single partitioning key of the database table as well as the case where the column is not the single partitioning key of the database table. The technique involves hashing column entries to a hash data set on a node, collecting the hash entries into another hash data set on a coordinating node into a combined hash data set, hashing entries from a table portion residing on the coordinating node into the combined hash data set and computing frequent value from the combined hash data set. Each hash data set is an array of counts and the combined hash data set is a combined array of counts.
    • 用于计算频繁值统计的系统,方法和程序产品,例如可以在分区关系数据库的多个节点上使用的分区关系数据库中的列中的频繁值,以及列是单个分区密钥的情况 数据库表以及列不是数据库表的单个分区键的情况。 该技术涉及将列条目散列到节点上的散列数据集合,将哈希条目收集到协调节点上的另一散列数据集合到组合散列数据集中,将驻留在协调节点上的表部分中的散列条目散列成组合散列 从组合哈希数据集的数据集和计算频繁值。 每个哈希数据集是一个计数数组,组合的哈希数据集是一个组合的计数数组。