Настройки

Укажите год
-

Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

Подробнее
-

Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

Подробнее

Форма поиска

Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
Ведите корректный номера.
Ведите корректный номера.
Ведите корректный номера.
Ведите корректный номера.
Укажите год
Укажите год

Применить Всего найдено 8. Отображено 8.
09-02-2016 дата публикации

Business object based navigation

Номер: US0009256839B2

In one embodiment the present invention relates to a method for navigating within a database containing business objects. The method includes the steps of providing a preconfigured model comprising preconfigured business object types and preconfigured associations of the business object types, identifying a reference to a business object instance within a software object and determining a primary business object type corresponding to the business object instance, providing links to at least one secondary business object type associated with the primary business object type in accordance with the preconfigured business model, and retrieving from the database at least one attribute of at least one business object instance within the secondary business object type associated to the primary business object type in accordance with the preconfigured model. In this manner, a user may more easily navigate the database.

Подробнее
11-11-2010 дата публикации

BUSINESS OBJECT BASED NAVIGATION

Номер: US20100287145A1

In one embodiment the present invention relates to a method for navigating within a database containing business objects. The method includes the steps of providing a preconfigured model comprising preconfigured business object types and preconfigured associations of the business object types, identifying a reference to a business object instance within a software object and determining a primary business object type corresponding to the business object instance, providing links to at least one secondary business object type associated with the primary business object type in accordance with the preconfigured business model, and retrieving from the database at least one attribute of at least one business object instance within the secondary business object type associated to the primary business object type in accordance with the preconfigured model. In this manner, a user may more easily navigate the database.

Подробнее
22-02-2022 дата публикации

Data placement in hybrid data layouts for tiered HTAP databases

Номер: US0011256718B2

Computer-implemented method for allocating columns of a table stored in a database system into at least two sets of columns, a first set and a second set, the data of the columns allocated to the first set being stored on a primary storage medium using a column-oriented data structure and the data of columns allocated to the second set being stored on a secondary storage medium using a row-oriented data structure, wherein the method comprises the step of allocating the columns of the table to the first and the second set autonomously on the basis of a performance-cost model.

Подробнее
20-06-2024 дата публикации

Detecting Anomalies in Time Series Data

Номер: US20240202283A1
Принадлежит: SAP SE

Some embodiments provide a non-transitory machine-readable medium that stores a program. The program may receive a set of data from a data source. The program may generate a plurality of time series data based on the set of data. The program may determine a subset of the plurality of time series data as anomalies. The program may provide notifications indicating that the subset of the plurality of time series data are anomalies.

Подробнее
26-09-2019 дата публикации

Data Placement In Hybrid Data Layouts For Tiered HTAP Databases

Номер: US20190294615A1
Принадлежит:

Computer-implemented method for allocating columns of a table stored in a database system into at least two sets of columns, a first set and a second set, the data of the columns allocated to the first set being stored on a primary storage medium using a column-oriented data structure and the data of columns allocated to the second set being stored on a secondary storage medium using a row-oriented data structure, wherein the method comprises the step of allocating the columns of the table to the first and the second set autonomously on the basis of a performance-cost model. 2. Method according to claim 1 , wherein the step of allocating the columns is carried out repeatedly during operation of the database.3. Method according to claim 1 , wherein the performance-cost model takes into account at least one of the following parameters:an execution time of a workload that the database has experienced during operation, the execution time preferably taking into account successive columnar filtering; anda total available space on the primary storage medium.4. Method according to claim 3 , wherein the performance-cost model further takes into account costs for reallocating columns.5. Method according to claim 1 , wherein the step of allocating the columns comprises the step of:iteratively adding columns to the first set so that, in each iteration, a column is added to the first set thathas not been added in a previous iteration and that,in accordance with the performance-cost-model, provides the largest performance gain per occupied space on the primary storage medium if it is added to the first set.7. Method according to claim 1 ,the database being a combined OLTP and OLAP database,the primary storage medium being a DRAM medium,the secondary storage medium not being a DRAM medium, andthe secondary storage medium being at least one of a SSD, a HDD, and a non-volatile storage.8. Method according to claim 1 , wherein at least one of the columns of the table is manually ...

Подробнее
08-10-2020 дата публикации

Iterative Multi-Attribute Index Selection for Large Database Systems

Номер: US20200320070A1
Принадлежит:

The inventors have implemented in a columnar in-memory database and studied access patterns of a large production enterprise system. To obtain accurate cost estimates for a configuration, the inventors have used the what-if capabilities of modern query optimizers. What-if calls, however, are the major bottleneck for most index selection approaches. Hence, a major constraint is to limit the number of what-if optimizer calls. And even though the inventive approach does not limit the index candidate set, it decreases the number of what-if calls because in each iteration step the number of possible (index) extensions is comparably small which results in a limited number of what-if calls. 1. Method for determining an index set I for the purpose of allowing running queries more efficiently against a database , the method being implemented in a computer system with a physical processing unit and a physical storage device , the computer storing the database with N attributes in the physical storage device , the method comprising the following steps:(1) setting the working index set I=∅;(2) determining a single-attribute index {i} (i=1, . . . , N) that minimizes the ratio between associated costs reduction and associated additional memory consumption;(3) adding the determined single-attribute index to the working index set I; (a) creating a new index set Ĩ by adding {i} as new single-attribute index to the working index set I if I∩{i}=∅; and', '(b) creating a new index set Ĩ by appending {i} at the end of index k of the working index set I;, '(4) for each elementary index element {i} (i=1, . . . , N) and for each index k∈I,'}(5) from the new index sets Ĩ created in step (4), selecting the new set Ĩ* that has the best ratio between associated costs reduction and associated additional memory consumption; and(6) setting the working index set I=Ĩ*.2. The method of further including the step:(7) repeating steps (4)-(6) until a predetermined condition is reached.3. The method of ...

Подробнее
17-11-2010 дата публикации

Business object based navigation

Номер: EP2251823A1

The invention relates to a method for navigating within a database containing business objects, the method comprising the steps of providing a preconfigured model comprising preconfigured business object types and preconfigured associations of the business object types, identifying a reference to a business object instance within a software object and determining a primary business object type corresponding to the business object instance, providing links to at least one secondary business object type associated with the primary business object type in accordance with the preconfigured business model, retrieving from the database at least one attribute of at least one business object instance within the secondary business object type associated to the primary business object type in accordance with the preconfigured model.

Подробнее
07-10-2020 дата публикации

Iterative multi-attribute index selection for large database systems

Номер: EP3719663A1

The inventors have implemented in a columnar in-memory database and studied access patterns of a large production enterprise system. To obtain accurate cost estimates for a configuration, the inventors have used the what-if capabilities of modern query optimizers. What-if calls, however, are the major bottleneck for most index selection approaches. Hence, a major constraint is to limit the number of what-if optimizer calls. And even though the inventive approach does not limit the index candidate set, it decreases the number of what-if calls because in each iteration step the number of possible (index) extensions is comparably small which results in a limited number of what-if calls.

Подробнее