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1. 发明申请

WO2006065587A1 INFRASTRUCTURE FOR PERFORMING FILE OPERATIONS BY A DATABASE SERVER 审中-公开
标题翻译：用于通过数据库服务器执行文件操作的基础架构
公开(公告)号：WO2006065587A1
公开(公告)日：2006-06-22
申请号：PCT/US2005/044134
申请日：2005-12-06
申请人： ORACLE INTERNATIONAL CORPORATION , JAIN, Namit , AGARWAL, Nipun , SEDLAR, Eric , IDICULA, Sam , PANNALA, Syam
发明人： JAIN, Namit , AGARWAL, Nipun , SEDLAR, Eric , IDICULA, Sam , PANNALA, Syam
IPC分类号： G06F17/30
CPC分类号： G06F17/30171 , Y10S707/99938 , Y10S707/99939
摘要： A method and apparatus for processing a file system operation at a database server is provided. A request to perform a file system operation on a resource stored in a database is received at a database system. The request may be implemented using the NFS protocol. The request may include state identification data that identifies state information associated with the request. State information associated with the request is retrieved within the database system based on the state identification data. State information is information that describes the operational state of the requestor for a particular file. The request is then processed based, at least in part, on the state identification. File system operations may be processed a database management system to access any data, such as a file, relational data, and object-relational data.
摘要翻译：提供了一种在数据库服务器处理文件系统操作的方法和装置。在数据库系统中接收对存储在数据库中的资源执行文件系统操作的请求。请求可以使用NFS协议实现。该请求可以包括标识与请求相关联的状态信息的状态标识数据。基于状态识别数据在数据库系统内检索与请求相关联的状态信息。状态信息是描述特定文件的请求者的操作状态的信息。然后，至少部分地基于状态标识处理该请求。可以处理文件系统操作数据库管理系统以访问任何数据，例如文件，关系数据和对象关系数据。

2. 发明申请

WO2006065269A1 TECHNIQUES FOR PROVIDING LOCKS FOR FILE OPERATIONS IN A DATABASE MANAGEMENT SYSTEM 审中-公开
标题翻译：在数据库管理系统中提供文件操作的锁的技术
公开(公告)号：WO2006065269A1
公开(公告)日：2006-06-22
申请号：PCT/US2005/015033
申请日：2005-04-28
申请人： ORACLE INTERNATIONAL CORPORATION , IDICULA, Sam , JAIN, Namit , PANNALA, Syam , KRISHNASWAMY, Vasudha , SEDLAR, Eric , AGARWAL, Nipun , SINHA, Bipul , MURTHY, Ravi
发明人： IDICULA, Sam , JAIN, Namit , PANNALA, Syam , KRISHNASWAMY, Vasudha , SEDLAR, Eric , AGARWAL, Nipun , SINHA, Bipul , MURTHY, Ravi
IPC分类号： G06F17/30
CPC分类号： G06F17/30171
摘要： A method and apparatus for performing file system operation locks at a database server is provided. A request to perform a file operation on a portion of a file managed by a database server is received at the database server. In response to receiving the request, the database server grants a lock that covers only a portion of the file that is involved in the file operation. For example, the database server may grant a lock that covers a range of bytes on the file, where the range of bytes is less than the entire file. Thereafter, the database server performs the file operation on the file. The file operation may be a NFS operation.
摘要翻译：提供了一种用于在数据库服务器执行文件系统操作锁定的方法和装置。在数据库服务器处接收对由数据库服务器管理的文件的一部分执行文件操作的请求。响应于接收到该请求，数据库服务器授予仅覆盖文件操作中涉及的文件的一部分的锁。例如，数据库服务器可以授予覆盖文件范围的字节的锁，其中字节的范围小于整个文件。此后，数据库服务器对文件执行文件操作。文件操作可能是NFS操作。

3. 发明申请

WO2009058448A1 DOCUMENT FIDELITY WITH BINARY XML STORAGE 审中-公开
标题翻译：具有二进制XML存储的文档清晰度
公开(公告)号：WO2009058448A1
公开(公告)日：2009-05-07
申请号：PCT/US2008/071492
申请日：2008-07-29
申请人： ORACLE INTERNATIONAL CORPORATION , STHANIKAM, Balasubramanyam , CHANDRASEKAR, Sivasankaran , AGARWAL, Nipun , IDICULA, Sam , MEDI, Vijay
发明人： STHANIKAM, Balasubramanyam , CHANDRASEKAR, Sivasankaran , AGARWAL, Nipun , IDICULA, Sam , MEDI, Vijay
IPC分类号： G06F17/30
CPC分类号： G06F17/30569 , G06F17/30908
摘要： Techniques are provided for ensuring lexical fidelity when an XML document is stored in a binary format. Operations, on the XML data, that would cause the loss of lexical fidelity between the original XML document and the binary-encoded version of the XML document are not performed. Such operations include the removal of unnecessary whitespace characters, certain data type conversions, CRLF normalization, the "collapsing" of two-tag empty elements into a single tag empty element, and the replacing of entity references or numeric character references with another value. An XML schema, to which the XML document conforms, may indicate that the XML document is to be stored in a lexical fidelity mode. Additionally, or alternatively, the database statement that (when executed) causes the XML document to be stored in a binary format may so indicate.
摘要翻译：当XML文档以二进制格式存储时，提供了用于确保词汇保真度的技术。不会执行对原始XML文档和XML文档的二进制编码版本之间的词法保真度的XML数据的操作。这样的操作包括删除不必要的空白字符，某些数据类型转换，CRLF归一化，将双标签空元素“折叠”到单个标签空元素中，以及用另一个值替换实体引用或数字字符引用。 XML文档符合的XML模式可以指示XML文档将以词法保真模式存储。另外或替代地，数据库语句（当被执行时）导致XML文档以二进制格式存储可以这样表示。

4. 发明申请

WO2012078518A2 A HYBRID BINARY XML STORAGE MODEL FOR EFFICIENT XML PROCESSING 审中-公开
标题翻译：一种用于高效XML处理的混合二进制XML存储模型
公开(公告)号：WO2012078518A2
公开(公告)日：2012-06-14
申请号：PCT/US2011/063310
申请日：2011-12-05
申请人： ORACLE INTERNATIONAL CORPORATION , IDICULA, Sam , STHANIKAM, Balasubramanyam , AGARWAL, Nipun
发明人： IDICULA, Sam , STHANIKAM, Balasubramanyam , AGARWAL, Nipun
IPC分类号： G06F17/30
CPC分类号： G06F3/0604 , G06F3/0631 , G06F3/0673 , G06F17/2247 , G06F17/2252 , G06F17/2258 , G06F17/30528 , G06F17/30896 , G06F17/30911 , G06F17/30938
摘要： A method for storing XML documents a hybrid navigation/streaming format is provided to allow efficient storage and processing of queries on the XML data that provides the benefits of both navigation and streaming and ameliorates the disadvantages of each. Each XML document to be stored is independently analyzed to determine a combination of navigable and streamable storage format that optimizes the processing of the data for anticipated access patterns.
摘要翻译：提供了一种用于存储混合导航/流格式的XML文档的方法，以便有效地存储和处理对XML数据的查询，从而提供导航和流媒体的优点，并且改善了每个XML的缺点。要存储的每个XML文档被独立分析以确定可导航和可流式存储格式的组合，其优化用于预期访问模式的数据的处理。

5. 发明申请

WO2005022415A1 IN-PLACE EVOLUTION OF XML SCHEMAS IN DATABASES 审中-公开
标题翻译：数据库中XML方案的演进
公开(公告)号：WO2005022415A1
公开(公告)日：2005-03-10
申请号：PCT/US2004/027464
申请日：2004-08-23
申请人： ORACLE INTERNATIONAL CORPORATION , IDICULA, Sam , CHANDRASEKAR, Sivasankaran , AGARWAL, Nipun , MURTHY, Ravi
发明人： IDICULA, Sam , CHANDRASEKAR, Sivasankaran , AGARWAL, Nipun , MURTHY, Ravi
IPC分类号： G06F17/30
CPC分类号： G06F17/30297 , G06F17/30908
摘要： A method and system for the in-place evolution of XML schemas is disclosed. To automatically evolve an existing XML schema, a schema evolver receives both an existing XML schema and an XML document as input. The XML document indicates changes to be made to the existing XML schema. Based on the existing XML schema and the XML document, the schema evolver evolves the existing XML schema into a new XML schema that incorporates the changes indicated in the XML document. According to one aspect, the schema evolver generates one or more SQL statements based on the new XML schema. The SQL statements, when executed by a database server, cause the database server to evolve database structures that were based on the formerly existing XML schema so that the database structures conform to the new XML schema. This is accomplished "in place," without copying the data in the database structures.
摘要翻译：公开了一种用于XML模式的就地演化的方法和系统。为了自动演进现有的XML模式，架构演进程序接收现有的XML模式和XML文档作为输入。 XML文档指示对现有XML模式进行的更改。基于现有的XML架构和XML文档，架构演进者将现有的XML架构演变为新的XML架构，其中包含XML文档中指示的更改。根据一个方面，模式演进者基于新的XML模式生成一个或多个SQL语句。 SQL语句在由数据库服务器执行时，会导致数据库服务器发展基于以前存在的XML模式的数据库结构，以便数据库结构符合新的XML模式。这完成了“到位”，而不复制数据库结构中的数据。

6. 发明申请

WO2017161275A1 TUPLE ENCODING AWARE DIRECT MEMORY ACCESS ENGINE FOR SCRATCHPAD ENABLED MULTICORE PROCESSORS 审中-公开
标题翻译： TUPLE编码唤醒直接存储器访问引擎用于支持SCRATCHPAD的多核处理器
公开(公告)号：WO2017161275A1
公开(公告)日：2017-09-21
申请号：PCT/US2017/022975
申请日：2017-03-17
申请人： ORACLE INTERNATIONAL CORPORATION
发明人： BROWN, David A. , JAIN, Rishabh , DULLER, Michael , IDICULA, Sam , SCHLANGER, Erik , HAWKINS, David Joseph
IPC分类号： G06F13/28
摘要： Tabular data is moved efficiently from a source memory to a destination memory. A first set of electronic circuits accesses a descriptor stored at a particular memory location. The descriptor indicates a width of a column and a number of rows of tabular data, and a tabular data manipulation operation, and indicates a source memory location storing the tabular data and a destination memory location for storing the tabular data manipulation result. The first set of electronic circuits determines control information indicating the tabular data manipulation operations to be performed and transmits the control information to a second set of electronic circuits. Based on the control information, the second set of electronic circuits retrieve the tabular data from the source memory location and applies the tabular data manipulation operation to generate the data manipulation result, and causes the data manipulation result to be stored at the destination memory location.
摘要翻译：
表格数据从源存储器有效地移动到目标存储器。第一组电子电路访问存储在特定存储位置的描述符。描述符指示列的宽度和表格数据的行数以及表格数据操作操作，并且指示存储表格数据的源存储器位置和用于存储表格数据操作结果的目的地存储器位置。第一组电子电路确定指示要执行的表格数据操作操作的控制信息，并将该控制信息传输到第二组电子电路。基于控制信息，第二组电子电路从源存储器位置检索表格数据并应用表格数据操作操作以生成数据操纵结果，并且使数据操作结果存储在目的地存储器位置。

7. 发明申请

WO2020242767A1 USING METAMODELING FOR FAST AND ACCURATE HYPERPARAMETER OPTIMIZATION OF MACHINE LEARNING AND DEEP LEARNING MODELS 审中-公开
公开(公告)号：WO2020242767A1
公开(公告)日：2020-12-03
申请号：PCT/US2020/032774
申请日：2020-05-14
申请人： ORACLE INTERNATIONAL CORPORATION
发明人： MOHARRER, Ali , VARADARAJAN, Venkatanathan , IDICULA, Sam , AGRAWAL, Sandeep , AGARWAL, Nipun
IPC分类号： G06N20/20 , G06N5/00 , G06N7/00 , G06N3/08
摘要： Herein are techniques that train regressor(s) to predict how effective would a machine learning model (MLM) be if rained with new hyperparameters and/or dataset. In an embodiment, for each training dataset, a computer derives, from the dataset, values for dataset metafeatures. The computer performs, for each hyperparameters configuration (HC) of a MLM, including landmark HCs: configuring the MLM based on the HC, training the MLM based on the dataset, and obtaining an empirical quality score that indicates how effective was said training the MLM when configured with the HC. A performance tuple is generated that contains: the HC, the values for the dataset metafeatures, the empirical quality score and, for each landmark configuration, the empirical quality score of the landmark configuration and/or the landmark configuration itself. Based on the performance tuples, a regressor is trained to predict an estimated quality score based on a given dataset and a given HC.

8. 发明申请

WO2019067957A1 ALGORITHM-SPECIFIC NEURAL NETWORK ARCHITECTURES FOR AUTOMATIC MACHINE LEARNING MODEL SELECTION 审中-公开
公开(公告)号：WO2019067957A1
公开(公告)日：2019-04-04
申请号：PCT/US2018/053515
申请日：2018-09-28
申请人： ORACLE INTERNATIONAL CORPORATION
发明人： AGRAWAL, Sandeep , IDICULA, Sam , VARADARAJAN, Venkatanathan , AGARWAL, Nipun
IPC分类号： G06N20/20
摘要： Techniques are provided for selection of machine learning algorithms based on performance predictions by trained algorithm-specific regressors. In an embodiment, a computer derives meta-feature values from an inference dataset by, for each meta-feature, deriving a respective meta-feature value from the inference dataset. For each trainable algorithm and each regression meta-model that is respectively associated with the algorithm, a respective score is calculated by invoking the meta-model based on at least one of: a respective subset of meta-feature values, and/or hyperparameter values of a respective subset of hyperparameters of the algorithm. The algorithm(s) are selected based on the respective scores. Based on the inference dataset, the selected algorithm(s) may be invoked to obtain a result. In an embodiment, the trained regressors are distinctly configured artificial neural networks. In an embodiment, the trained regressors are contained within algorithm-specific ensembles. Techniques are also provided for optimal training of regressors and/or ensembles.

9. 发明申请

WO2020068471A1 DISK DRIVE FAILURE PREDICTION WITH NEURAL NETWORKS 审中-公开
公开(公告)号：WO2020068471A1
公开(公告)日：2020-04-02
申请号：PCT/US2019/051316
申请日：2019-09-16
申请人： ORACLE INTERNATIONAL CORPORATION
发明人： KOCBERBER, Onur , SCHMIDT, Felix , RAGHAVAN, Arun , AGARWAL, Nipun , IDICULA, Sam , ZHOU, Guang-Tong , KUNAL, Nitin
IPC分类号： G06F11/00 , G06N3/02
摘要： Disk drive failure is predicted using a machine learning model. The framework involves receiving disk drive sensor attributes as training data, preprocessing the training data to select a set of enhanced feature sequences, and using the enhanced feature sequences to train a machine learning model to predict disk drive failures from disk drive sensor monitoring data. Prior to the training phase, the RNN LSTM model is tuned using a set of predefined hyper-parameters. The preprocessing, which is performed during the training and evaluation phase as well as later during the prediction phase, involves using predefined values for a set of parameters to generate the set of enhanced sequences from raw sensor reading. The enhanced feature sequences are generated to maintain a desired healthy/failed disk ratio, and only use samples leading up to a last-valid-time sample to honor a pre-specified heads-up-period alert requirement.

10. 发明申请

WO2014043366A2 OPTIMAL DATA REPRESENTATION AND AUXILIARY STRUCTURES FOR IN-MEMORY DATABASE QUERY PROCESSING 审中-公开
标题翻译：用于内存数据库查询处理的最佳数据表示和辅助结构
公开(公告)号：WO2014043366A2
公开(公告)日：2014-03-20
申请号：PCT/US2013/059486
申请日：2013-09-12
申请人： ORACLE INTERNATIONAL CORPORATION
发明人： IDICULA, Sam , MOORE, Kevin , GOLD, Brian , AGARWAL, Nipun , SEDLAR, Eric
IPC分类号： G06F17/30
CPC分类号： G06F17/30 , G06F17/30289 , G06F17/30312
摘要： A method for providing optimized data representation of relations for in-memory database query processing is disclosed. The method seeks to optimize the use of the available memory by encoding relations on which the in-memory database query processing is performed and by employing auxiliary structures to maintain performance. Relations are encoded based on data patterns in one or more attribute-columns of the relation and the encoding that is selected is suited to a particular type of data in the column. Members of a set of auxiliary structures are selected based on the benefit the structure can provide and the cost of the structure in terms of the amount of memory used. Encoding of the relations is performed in real-time while query processing occurs, using locks to eliminate conflicts between the query processing and encoding.
摘要翻译：公开了一种用于提供用于内存数据库查询处理的关系的优化数据表示的方法。该方法寻求通过对执行内存数据库查询处理的关系进行编码并通过采用辅助结构来维持性能来优化对可用存储器的使用。关系根据关系的一个或多个属性列中的数据模式进行编码，并且所选编码适合列中特定类型的数据。一组辅助结构的成员是根据结构可以提供的好处和结构在所用内存数量方面的成本来选择的。关系的编码在查询处理发生时实时执行，使用锁来消除查询处理和编码之间的冲突。

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