SAP SE Patent applications |
Patent application number | Title | Published |
20160063081 | Multidimensional Graph Analytics - Disclosed herein are system, method, and computer program product embodiments for performing ad-hoc analytical queries of graph data. An embodiment operates by receiving a graph pattern for a subgraph of interest. The facts of interest are then selected from graph data based on the received graph pattern. Dimensions are then defined based on a dimension seed pattern and a set of level expressions, and measures are defined based on a computation function and an aggregation function. A graph cube is formed based on the selected facts and the defined dimensions and measures. Because the facts, dimensions, and measures of interest are defined at the time of an analytical query, a user does not have to define such facts, dimensions, and measures, or know which analytical queries will be of interest, at the time of data collection. | 03-03-2016 |
20160042028 | LOGLESS ATOMIC DATA MOVEMENT - A system and method of logless atomic data movement. An internal transaction is started within a multi-level storage architecture, the internal transaction to merge data from the first level storage structure to the second level storage structure. Committed data is read from a first level storage structure of the multi-level storage architecture as specified by the internal transaction. The committed data from the first level storage structure is inserted into a second level storage structure in a bulk insertion process, and the committed data is marked as being deleted from the first level storage. The internal transaction is then committed to the multi-level storage architecture when the committed data has been inserted into the second level storage structure. | 02-11-2016 |
20160042016 | Deleting Records In A Multi-Level Storage Architecture - Deleting a data record from the second level storage or main store is disclosed. A look-up is performed for the data record in the first level storage, where the data record is defined by a row identifier. If the row identifier is found in the first level storage, a look-up is performed for an updated row identifier representing an update of the data record in the second level storage and the main store, the update of the data record being defined by an updated row identifier. If the updated row identifier is found in the second level storage, an undo log is generated from the first level storage to invalidate a row identifier of the row identifier. A flag is generated representing an invalid updated row identifier, and a redo log is generated to restore the data record in the first level storage. | 02-11-2016 |