Abstract: A system, method, and computer readable medium for optimizing throughput of a stream processing system are disclosed. The method comprises analyzing a set of input streams and creating, based on the analyzing, an input profile for at least one input stream in the set of input streams. The input profile comprises at least a set of processing requirements associated with the input stream. The method also comprises generating a search space, based on an initial configuration, comprising a plurality of configurations associated with the input stream. A configuration in the plurality of configurations is identified that increases throughput more than the other configurations in the plurality of configurations based on at least one of the input profile and system resources.

Abstract: A method, information processing system, and computer readable medium for modifying at least one data warehouse schema based on detected changes in an associated observation model are disclosed. The method includes determining if at least one new observation model has been created. The method also includes determining if at least one existing observation model is associated with the new observation model. In response to the existing observation model being associated with the new observation model, at least one changed attribute is identified by comparing the new observation model and the existing observation model. A set of files associated with the existing observation model is updated to reflect the changed attribute between the new observation model and the existing observation model.

Abstract: A system, method, and computer readable medium for preserving information in time variant data schemas are disclosed. The method includes determining if at least one modification request associated with a database schema has been received. In response to the modification request being received, a metadata table associated with the database schema is updated to include at least one entry associated with the modification request. The entry identifies an instance in time when an action associated with the modification request was performed.

Abstract: Disclosed are a system, method, and computer readable medium for collecting statistics associated with data in a database. The method comprises determining an amount of memory needed to collect statistics for data associated with a defined data type in a relational database. The defined data type is based upon a mark-up language using a tree structure with one or more root-to-node paths therein. The amount of memory as determined is allocated for collecting the statistics for the data of the defined data type. A statistics collection is performed for the data of the defined data type in a single pass through the database and within the amount of memory which has been allocated.

Abstract: A method, system, and computer readable medium for collecting statistics associated with data in a database are disclosed. The method comprises determining an amount of memory needed to collect statistics for data associated with a defined data type in a relational database. The defined data type is based upon a mark-up language using a tree structure with one or more root-to-node paths therein. The amount of memory is allocated as determined for collecting the statistics for the data of the defined data type. A statistics collection is performed for the data of the defined data type in a single pass through the database and within the amount of memory which has been allocated. The performing includes at least determining a total number of instances of at least one path-identifier associated with a given value within a given set of documents.

Abstract: Tagging trees are generated and used to facilitate transforming data from relational databases into hierarchical formats, such as in XML documents. Tagging trees contain both XML hierarchical structure information as well a query information that is needed to access different data sources, e.g., databases, to retrieve the information to be placed in the hierarchical structure. A designer optionally creates a mapping script that specifies the transformation from relational databases to the hierarchical format. A tagging tree is created by either parsing that mapping script or by other means. A runtime environment then processes the tagging tree by a depth first traversal. The runtime environment is able to be configured to output a hierarchical data object, such as an XML document, or pipelined to control, for example, SAX processing.

Abstract: A tagging tree that defines a hierarchical output data structure and relational database query operations that retrieve the data to be included in each hierarchical section is accepted and processed. A query optimizer analyzes the tagging tree to determine database query operations that can be combined into a single query command. An outer-union query command is generated to allow efficient combination of multiple query commands, some of which are predicates to others. The tagging tree is modified to replace the database queries that were combined into the outer-union query to extract data from the results set produced by the outer-union query as opposed to submitting queries to the database manager. The optimized queries can be reused an arbitrary number of times to leverage the optimizing resources that were used in their creation.