Abstract:
Example systems and methods of providing an application programming interface tracing mechanism are presented. In one example, an application programming interface for an application is provided, the interface including an interface object. A proxy object is created for the interlace object. At the proxy object, method calls from the application for the interface object are received, recorded, and passed to the interface object. An execution trace including the recorded method calls is generated.
Abstract:
Methods, computer-readable media, and systems for managing business objects data sources. A search query that includes multiple query terms is received. Each query term at least partially represents metadata associated with one of multiple business objects data sources that each stores multiple data items. Multiple search index documents are searched to identify one or more business objects data sources that are each associated with metadata at least partially represented by each query term. Multiple metadata tables are searched to identify metadata associated with each identified business objects data source. The identified business objects data sources are searched for data items that satisfy the identified metadata. Representations of the data items and the metadata are provided in response to receiving the search query.
Abstract:
A method is provided for forming an entity cluster. In this method, a plurality of entities found in one or more data sources are identified. An entity may represent a word or a phrase found in the one or more data sources. The plurality of entities may then be organized into groups, where each group has a master entity and a set of subordinate entities. The groups are formed using a first comparison criteria. Then, using a second comparison criteria, a first group is associated with a second group. The second comparison criteria may compare the master entities associated with the first and second groups. Based on the association between the first group and the second group, the method can then determine that the first entity is related to the second entity.
Abstract:
Disclosed is a user interface on a display for editing data transformations comprising an ETL process. A first display area presents a data representation of a data transformation. A second display area presents a view of input data, and a third display are presents a view of output data. User input to modify the data transformation is received. In response to receiving the user input, the third display area is updated with output data generated by applying the modified data transformation to the input data.
Abstract:
Various embodiments may operate to access individual lines of information included in a file stored in an electronic storage medium, to detect the existence of data clusters in the file based on neighboring cell content in a horizontal direction (corresponding to the individual lines), and in a vertical direction (orthogonal to the horizontal direction), to identify at least some of the data clusters as being associated with predefined table types (comprising vertical tables, horizontal tables, or cross tables), to merge some of the data clusters into section tables having common properties, and to transform the tables resulting from the merging activity, as well as remaining un-merged data clusters, into a single flat table. The stored file may comprise a spreadsheet file.
Abstract:
Apparatus, systems, and methods may operate to receive an original query plan, to transform the original query plan into an equivalent executable compact query plan, and to store the compact query plan on a machine readable device. Further activities may include computing maximal source sub-queries associated with the compact query plan, and computing semi-join reductions of the maximal source sub-queries to provide an executable derivative query plan, which may also be stored on a machine readable device. Additional apparatus, systems, and methods are disclosed.
Abstract:
A computer readable storage medium includes executable instructions to retrieve a dataset from a data source. The dataset includes a first set of categories. A data structure with nodes connected by edges is built to represent the dataset. A first set of merit values is calculated for the first set of categories. Each merit value is a measure of how efficient a category is in filtering data. The first set of categories is ordered based on a criterion. The first set of categories is then returned.
Abstract:
A representative parameterized query in a second database query language is generated from a parameterized query in first database query language. By randomly generating a query in the first database query language, translating this query into the second database query language, and then identifying locations of relevant parameters in the translated query, parameter placeholders can then be substituted at the identified locations to provide a parameterized query in the second database query language. A representative parameterized query in the second database query language can be selected by randomly generating multiple parameterized queries and applying statistical methods including Monte Carlo methods.
Abstract:
A computer readable medium with executable instructions to analyze a report value, includes executable instructions to select a report value and identify the formula evaluated to produce the report value. Formal parameters associated with the formula are determined. The actual parameters used to compute the report value are located. The formula, the formal parameters and the actual parameters are then displayed.
Abstract:
A computer readable medium includes executable instructions to receive a query, receive information about the identity of the query requester, send the query to at least one data source, receive data from the at least one data source, and apply confidentiality criteria to the data based on a set of rules to produce masked confidential data. The masked confidential data is returned in a report in response to the query.