Oracle International Corporation

Other

Shane Robert Vermette

Vijay Manguluru

Manoj N Kumar

Amrit Mishra

Ajit Kumar Das

Dinakar Hituvalli

A hand-held device includes a first member and a second member coupled together by a pivot point such that each member may rotate independently. The hand-held device further comprises a handle on one side of each member and a protrusion on an opposite side of each member. Further, the hand-held device may include counter-torque extensions which extend from each member such that the counter-torque extensions touch when the device is engaged.

Hand-held shearing device

Nested hierarchies can be efficiently analyzed by normalizing a portion of the hierarchy as defined by a limiting factor for the hierarchy. In a project hierarchy wherein each project contains a task hierarchy, each task hierarchy can be normalized. Further, the projects can be assigned to levels such that data for each level can be indexed, partitioned, or otherwise differentiated. The data then can be efficiently rolled up by level using the partially normalized hierarchy.

Nested hierarchical rollups by level using a normalized table

Methods, systems, and computer-readable storage mediums are presented for aggregating multiple values for an object using database rows. Each value added to the database for the object may include a same primary key and a unique sequence key. This allows multiple values to be added for an object concurrently by simply adding additional rows to the database table. After values have been added, a process can identify multiple rows having the same primary key and aggregate the values stored in those rows together into a single database row having the primary key. This can be done as part of a garbage-collection routine or in response to other processes attempting to add additional values for the object.

Concurrent access for hierarchical data storage

A method of recovering batch-based processes may include providing an interface for receiving processes recoverability information. The recoverability information may include (i) information describing a mutual exclusivity of data affected by a process, (ii) information describing sub-processes associated with the process, and/or (iii) information describing scope cleanup procedures associated with the process. The method may also include receiving the recoverability information through the interface, and receiving an indication that the process experienced an error while being executed on a client system. The method may additionally include providing the process recoverability information to make a recoverability determination for the process.

Recovering step and batch-based processes

A method of providing concurrent access to a hierarchy in a data structure may include receiving a request from a first process to change a first value associated with an object, where the request may include a second value to be combined with the first value. The method may also include determining that a second process is currently accessing information associated with the object. The method may additionally include associating, in response to determining that the second process is currently accessing information associated with the object, the second value with the object without combining the first value and the second value.

Embodiments of the invention provide systems and methods for recovering a failed data summarization. According to one embodiment, recovering a failed instance can comprise processing existing summarization instances identified as instances for which a new data summarization instance needs to wait. Upon a completion or a timeout of each of the instances identified as instances for which the new data summarization instance needs to wait, an exclusive lock can be acquired on a table storing scope information for the plurality of data summarization instances. One or more existing data summarization instances that match the new data summarization instance or that have an overlapping scope with the new data summarization instance can be processed, remaining tasks to be performed by the new data summarization instance can be defined, the exclusive lock can be released, and the remaining tasks to be performed by the new data summarization instance can be performed.

Data summarization recovery

Embodiments of the invention provide systems and methods for providing summarizations of data and transactions based on the status of the summarization and the data and transactions being summarized. According to one embodiment, a method for providing summarizations of data and transactions related to one or more applications can comprise initiating a first summarization of the data and transactions related to the one or more applications. The first summarization can be paused in response to a request to evaluate the data and transactions being summarized. Data and transactions available for summarization can be evaluated in response to and based on the request. The first summarization can be resumed upon a completion or a timeout of the evaluating of the data and transactions being summarized.

Data summarization integration

Extraction methods can interact on a common data source using identifiers that correspond to events or other actions. These identifiers can be updated, whenever appropriate, once the corresponding data has been summarized, in order to provide for multiple extraction methods to operate only on the data of interest, and obtain a lock only on the data within the scope of extraction. High water marks, such as identifiers in the sequent, can be used to further designate which data has previously been extracted. Similarly, summarization methods can interact by utilizing corresponding persistent tables in the flows for the methods, but utilizing separate intermediate tables to allow for data transformations and application of various business rules and tuning techniques. The ability to switch between different methods can accommodate business, performance, or other such needs, and can provide for the dynamic extraction and summarization of different volumes of data.

Interacting methods of data extraction

A method of summarizing data includes providing a multi-method summarization program including instructions for summarizing data for a transaction processing system. At least one functional aspect of the transaction processing system for which a summarization of a subset of the data is desired is determined. The functional subset to a user as a light summarization program is exposed. The dependencies of the functional subset can be enforced at runtime allowing packaging flexibility. A method for efficient parallel processing involving not necessarily filled requests for help.

Infrastructure of data summarization including light programs and helper steps

A method for consuming data includes determining a scope of summarization for a data set in response to receiving a request from a summarization program, obtaining a lock on the data within the scope of summarization and consuming the data from the summarization program within the scope of data summarization. The summarization program includes methods configured to obtain concurrent locks on different portions of the data set. The consumption of the data may be governed by specific rules.

Selective exposure to a data consumer

Summarization methods can interact on a common data source using identifiers that correspond to events or other actions. These identifiers can be updated, whenever appropriate, once the corresponding data has been summarized, in order to provide for multiple extraction methods to operate only on the data of interest, and obtain a lock only on the data within the scope of extraction. High water marks, such as identifiers in the sequent, can be used to further designate which data has previously been extracted. Similarly, summarization methods can interact by utilizing corresponding persistent tables in the flows for the methods, but utilizing separate intermediate tables to allow for data transformations and application of various business rules and tuning techniques. The ability to switch between different methods can accommodate business, performance, or other such needs, and can provide for the dynamic extraction and summarization of different volumes of data.

Growing community of inventors

San Carlos, CA, United States of America

Shane Robert Vermette