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51. 发明申请

US20150134699A1 DATA MOVEMENT FROM A DATABASE TO A DISTRIBUTED FILE SYSTEM 有权
标题翻译：从数据库到分布式文件系统的数据移动
公开(公告)号：US20150134699A1
公开(公告)日：2015-05-14
申请号：US14296275
申请日：2014-06-04
申请人： International Business Machines Corporation
发明人： Manish A. Bhide , Veera R. Maddipati , Jean-Claude Mamou , Alan P. Plante
IPC分类号： G06F21/62 , G06F17/30
CPC分类号： G06F17/30336 , G06F17/303 , G06F17/30345 , G06F17/30445 , G06F17/30545 , G06F21/6218 , H04L67/1097
摘要： Provided are techniques for data movement. An activity is created that overrides existing security, that is associated with a user, that defines one or more source tables in a relational database and one or more target tables that are available to the user for the activity, and that provides security credentials of an author of the activity for use by the user, wherein the one or more target tables represent data in one or more target files in a file system. The activity is executed using the security credentials of the author to move data in a source table of the one or more source tables to a target file of the one or more target files, wherein a target table of the one or more target tables is defined over the target file. Access is provided to the user to the moved data using the target table.
摘要翻译：提供数据移动的技术。创建一个活动，其覆盖与用户相关联的现有安全性，该安全性定义关系数据库中的一个或多个源表，以及一个或多个用户可用于该活动的目标表，并提供安全凭证用户使用的活动的作者，其中所述一个或多个目标表表示文件系统中的一个或多个目标文件中的数据。使用作者的安全凭证来执行活动，以将一个或多个源表的源表中的数据移动到一个或多个目标文件的目标文件，其中定义一个或多个目标表的目标表超过目标文件。使用目标表向用户提供访问移动的数据。

52. 发明申请

US20150134609A1 DATA MOVEMENT FROM A DATABASE TO A DISTRIBUTED FILE SYSTEM 有权
公开(公告)号：US20150134609A1
公开(公告)日：2015-05-14
申请号：US14076977
申请日：2013-11-11
申请人： International Business Machines Corporation
发明人： Manish A. Bhide , Veera R. Maddipati , Jean-Claude Mamou , Alan P. Plante
IPC分类号： G06F17/30 , H04L29/08
CPC分类号： G06F17/30336 , G06F17/303 , G06F17/30345 , G06F17/30445 , G06F17/30545 , G06F21/6218 , H04L67/1097
摘要： Provided are techniques for data movement. An activity is created that overrides existing security, that is associated with a user, that defines one or more source tables in a relational database and one or more target tables that are available to the user for the activity, and that provides security credentials of an author of the activity for use by the user, wherein the one or more target tables represent data in one or more target files in a file system. The activity is executed using the security credentials of the author to move data in a source table of the one or more source tables to a target file of the one or more target files, wherein a target table of the one or more target tables is defined over the target file. Access is provided to the user to the moved data using the target table.

53. 发明申请

US20150113535A1 PARALLEL DATA PROCESSING SYSTEM, COMPUTER, AND PARALLEL DATA PROCESSING METHOD 有权
标题翻译：并行数据处理系统，计算机和并行数据处理方法
公开(公告)号：US20150113535A1
公开(公告)日：2015-04-23
申请号：US14404550
申请日：2012-05-31
申请人： Kazuo Goda , Hiroyuki Yamada , Masaru Kitsuregawa , Nobuo Kawamura , Shinji Fujiwara , Kazuhiko Mogi
发明人： Kazuo Goda , Hiroyuki Yamada , Masaru Kitsuregawa , Nobuo Kawamura , Shinji Fujiwara , Kazuhiko Mogi
IPC分类号： G06F9/46 , G06F9/54
CPC分类号： G06F9/466 , G06F9/4843 , G06F9/54 , G06F17/30445 , G06F17/30477
摘要： A parallel data processing system includes a parallel data processing execution unit for reading a data from a data set including a first data set that includes a plurality of first data and a second data set that includes a plurality of second data and executing processing. The parallel data processing execution unit (A) reads the first data from the first data set, and acquires a first value from the first data based on first format information acquired from an application, (B) generates one or more threads for respectively reading one or more second data corresponding to the first value from the second data set based on first reference information acquired from the application, (C) executes (A) and (B) on one or more first data in the first data set, and (D) executes a plurality of the threads in parallel.
摘要翻译：并行数据处理系统包括并行数据处理执行单元，用于从包括多个第一数据的第一数据集和包括多个第二数据和执行处理的第二数据集的数据集读取数据。并行数据处理执行单元（A）从第一数据集读取第一数据，并根据从应用获得的第一格式信息从第一数据获取第一值，（B）生成一个或多个线程，分别读取一个（C）对第一数据集中的一个或多个第一数据执行（A）和（B），和（D）对应于来自第二数据集的第一值的第二数据; ）并行地执行多个线程。

54. 发明授权

US08959499B2 Parallel processing of data 有权
标题翻译：并行处理数据
公开(公告)号：US08959499B2
公开(公告)日：2015-02-17
申请号：US14033145
申请日：2013-09-20
申请人： Google Inc.
发明人： Craig D. Chambers , Ashish Raniwala , Frances J. Perry , Stephen R. Adams , Robert R. Henry , Robert Bradshaw , Nathan Weizenbaum
IPC分类号： G06F9/45 , G06F9/44 , G06F9/455 , G06F21/62 , G06F9/38 , G06F9/48 , G06F17/30 , G06F9/30
CPC分类号： G06F9/45504 , G06F8/314 , G06F8/34 , G06F8/433 , G06F9/30 , G06F9/38 , G06F9/3851 , G06F9/3885 , G06F9/44 , G06F9/445 , G06F9/4494 , G06F9/45533 , G06F9/4843 , G06F17/30445 , G06F17/30471 , G06F21/577 , G06F21/62 , G06F21/6218 , G06F2221/034
摘要： A data parallel pipeline may specify multiple parallel data objects that contain multiple elements and multiple parallel operations that operate on the parallel data objects. Based on the data parallel pipeline, a dataflow graph of deferred parallel data objects and deferred parallel operations corresponding to the data parallel pipeline may be generated and one or more graph transformations may be applied to the dataflow graph to generate a revised dataflow graph that includes one or more of the deferred parallel data objects and deferred, combined parallel data operations. The deferred, combined parallel operations may be executed to produce materialized parallel data objects corresponding to the deferred parallel data objects.
摘要翻译：数据并行流水线可以指定多个并行数据对象，其中包含对并行数据对象进行操作的多个元素和多个并行操作。基于数据并行流水线，可以生成与数据并行流水线相对应的延迟并行数据对象和延迟并行操作的数据流图，并且可以将一个或多个图变换应用于数据流图，以生成修改后的数据流图，其中包括一个或更多的延迟并行数据对象和延迟的并行数据操作。可以执行延迟的组合并行操作以产生与延迟并行数据对象相对应的物化并行数据对象。

55. 发明申请

US20140358932A1 Entity Integration Using High-Level Scripting Languages 有权
标题翻译：使用高级脚本语言的实体集成
公开(公告)号：US20140358932A1
公开(公告)日：2014-12-04
申请号：US13907532
申请日：2013-05-31
申请人： International Business Machines Corporation
发明人： Armageddon Rhabdizo Brown , Lucian Popa , Mauricio Antonio Hernandez-Sherrington , Suresh Thalamati , Rajasekar Krishnamurthy , Georgia Koutrika , Ryan Wisnesky
IPC分类号： G06F17/30
CPC分类号： G06F17/30445 , G06F17/30321
摘要： Embodiments of the present invention relate to a new method of entity integration using high-level scripting languages. In one embodiment, a method of and computer product for entity integration is provided. An entity declaration is read from a machine readable medium. The entity declaration describes an entity including at least one nested entity. An index declaration is read from a machine readable medium. The index declaration describes an index of nested entities. An entity population rule is read from a machine readable medium. The entity population rule describes a mapping from an input schema to an output schema. The output schema conforms to the entity declaration. A plurality of input records is read from a first data store. The input records conform to the input schema. The entity population rule applies to the plurality of records to create a plurality of output records complying with the output schema. An index of nested entities is populated. The index complies with the index declaration.
摘要翻译：本发明的实施例涉及使用高级脚本语言的实体集成的新方法。在一个实施例中，提供了用于实体集成的方法和计算机产品。从机器可读介质读取实体声明。实体声明描述一个包含至少一个嵌套实体的实体。索引声明从机器可读介质读取。索引声明描述了嵌套实体的索引。从机器可读介质读取实体总体规则。实体总体规则描述了从输入模式到输出模式的映射。输出模式符合实体声明。从第一数据存储器读取多个输入记录。输入记录符合输入模式。实体总体规则适用于多个记录以创建符合输出模式的多个输出记录。填充嵌套实体的索引。指数符合指数声明。

56. 发明授权

US08849749B2 Load balancing in parallel database systems using multi-reordering 有权
标题翻译：使用多重排序的并行数据库系统中的负载平衡
公开(公告)号：US08849749B2
公开(公告)日：2014-09-30
申请号：US12860782
申请日：2010-08-20
申请人： William S. Rishel , Ryder B. Rishel , Derek A. Taylor
发明人： William S. Rishel , Ryder B. Rishel , Derek A. Taylor
IPC分类号： G06F17/30 , G06F9/50
CPC分类号： G06F9/5083 , G06F17/30283 , G06F17/30445
摘要： Load balancing in a parallel database system is performed using multi-reordering, in which a sequence of multiple processors (two, three, or more) that have small average load (for example, the smallest of any such sequence) is selected to participate in load balancing. In the case of three adjacent low-load processors, the load of all three is evenly distributed over two of them, and the remaining processor becomes a free processor. The free processor is moved adjacent to a high-load processor, the load of which is then shared with the free processor. Data is moved in a “transaction” so that the view of data is always consistent. The database continues to service requests from a former location while data undergoes a transfer.
摘要翻译：使用多重排序来执行并行数据库系统中的负载平衡，其中选择具有小平均负载（例如，任何这样的序列中的最小的）的多个处理器（两个，三个或更多个）的序列参与负载均衡。在三个相邻的低负载处理器的情况下，所有三个负载均匀分布在其中两个处理器上，而剩余的处理器成为一个空闲处理器。免费处理器移动到高负载处理器附近，然后负载与免费处理器共享。数据在“事务”中移动，以便数据视图始终保持一致。数据库继续传输来自前一个位置的请求。

57. 发明申请

US20140236983A1 EXECUTING CONTINUOUS EVENT PROCESSING (CEP) QUERIES IN PARALLEL 有权
标题翻译：执行连续事件处理（CEP）并行查询
公开(公告)号：US20140236983A1
公开(公告)日：2014-08-21
申请号：US13770961
申请日：2013-02-19
申请人： ORACLE INTERNATIONAL CORPORATION
发明人： Alexandre de Castro Alves , Anand Srinivasan
IPC分类号： G06F17/30
CPC分类号： G06F17/30516 , G06F17/30445 , G06F17/3051 , G06F17/30548
摘要： A continuous event processing (CEP) query processor determines how and when a CEP query can be processed in a concurrent manner, such that multiple threads of execution can concurrently perform at least some of the CEP query's operations concurrently with each other. According to one technique, a user can instruct a CEP query processor to attempt to execute a CEP query in a concurrent manner. The CEP query processor responsively determines whether the CEP query's execution, or parts thereof, can be made concurrent based on certain constraints that can depend on inheritance and operation type. Based on this determination, the CEP query processor can execute at least certain parts of a CEP query in parallel relative to the same event within an event stream.
摘要翻译：连续事件处理（CEP）查询处理器确定如何和何时可以以并发的方式处理CEP查询，使得多个执行线程可以并发地执行至少一些CEP查询的操作。根据一种技术，用户可以指示CEP查询处理器以并发方式尝试执行CEP查询。 CEP查询处理器响应地基于可以依赖于继承和操作类型的某些约束来响应地确定CEP查询的执行或其部分是否可以并发。基于该确定，CEP查询处理器可以相对于事件流中的相同事件并行执行CEP查询的至少某些部分。

58. 发明申请

US20140188841A1 Method for Two-Stage Query Optimization in Massively Parallel Processing Database Clusters 有权
标题翻译：大规模并行处理数据库集群中两阶段查询优化的方法
公开(公告)号：US20140188841A1
公开(公告)日：2014-07-03
申请号：US13730872
申请日：2012-12-29
申请人： FUTUREWEI TECHNOLOGIES, INC.
发明人： Yang Sun , Qingqing Zhou , Mohan Singamshetty
IPC分类号： G06F17/30
CPC分类号： G06F17/30445 , G06F17/30483
摘要： Queries may be processed more efficiently in an massively parallel processing (MPP) database by locally optimizing the global execution plan. The global execution plan and a semantic tree may be provided to MPP data nodes by an MPP coordinator. The MPP data nodes may then use the global execution plan and the semantic tree to generate a local execution plan. Thereafter, the MPP data nodes may select either the global execution plan or the local execution plan is accordance with a cost evaluation.
摘要翻译：在大规模并行处理（MPP）数据库中，可以通过局部优化全局执行计划，更有效地处理查询。全局执行计划和语义树可以由MPP协调器提供给MPP数据节点。然后，MPP数据节点可以使用全局执行计划和语义树来生成本地执行计划。此后，MPP数据节点可以选择全局执行计划，或者本地执行计划根据成本评估。

59. 发明授权

US08745070B2 Addition and processing of continuous SQL queries in a streaming relational database management system 有权
标题翻译：在流媒体关系数据库管理系统中添加和处理连续SQL查询
公开(公告)号：US08745070B2
公开(公告)日：2014-06-03
申请号：US13344559
申请日：2012-01-05
申请人： Saileshwar Krishnamurthy , Neil Thombre , Neil Conway , Wing Hang Li , Morten Hoyer
发明人： Saileshwar Krishnamurthy , Neil Thombre , Neil Conway , Wing Hang Li , Morten Hoyer
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30516 , G06F17/30445 , G06F17/30545
摘要： Systems, methods, and media are disclosed herein that can be embodied in a traditional Relational Database Management System (RDBMS) in order to transform it into a Streaming Relational Database Management System (SRDBMS). An SRDBMS may provide functionality such as to manage and populate streams, tables, and archived stream histories and support the evaluation of continuous queries on streams and tables. Both continuous and snapshot queries support the full spectrum of the industry standard, widely used, Structured Query Language. The present technology can support a high number of concurrent continuous queries using a scalable and efficient shared query evaluation scheme, support on-the-fly addition of continuous queries into a mechanism that implements the shared evaluation scheme, reuse RDBMS modules such as relational operators and expression evaluators, and visualize results of continuous queries in real time.
摘要翻译：本文公开的系统，方法和媒体可以体现在传统的关系数据库管理系统（RDBMS）中，以便将其转换为流关系数据库管理系统（SRDBMS）。 SRDBMS可以提供诸如管理和填充流，表和归档流历史的功能，并支持对流和表的连续查询的评估。连续和快照查询支持行业标准，广泛使用的结构化查询语言的全部范围。本技术可以使用可扩展和高效的共享查询评估方案来支持大量并发连续查询，支持将连续查询即时添加到实现共享评估方案的机制中，重用RDBMS模块，如关系运算符和表达式求值程序，并实时可视化连续查询的结果。

60. 发明授权

US08694508B2 Columnwise storage of point data 有权
标题翻译：逐点存储点数据
公开(公告)号：US08694508B2
公开(公告)日：2014-04-08
申请号：US13488143
申请日：2012-06-04
申请人： Christoph Weyerhaeuser , Tobias Mindnich , Daniel Baeumges , Gerrit Simon Kazmaier
发明人： Christoph Weyerhaeuser , Tobias Mindnich , Daniel Baeumges , Gerrit Simon Kazmaier
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30321 , G06F17/30241 , G06F17/30315 , G06F17/30445 , G06F17/30486
摘要： A database query of point data among two or more axes of a database is received. The database stores point data in distinct integer vectors with a shared dictionary. Thereafter, the dictionary is scanned to determine boundaries for each axis specified by the query. In response, results characterizing data responsive to the query within the determined boundaries for each axis are returned. Related apparatus, systems, techniques and articles are also described.
摘要翻译：接收到数据库的两个或多个轴之间的点数据的数据库查询。数据库使用共享字典将点数据存储在不同的整数向量中。此后，扫描字典以确定查询指定的每个轴的边界。作为响应，返回表征响应于针对每个轴的确定的边界内的查询的数据的结果。还描述了相关设备，系统，技术和物品。

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