Abstract: A magnetic strap assembly includes a ribbon member having a first surface and a second surface. An adhesive member having a first surface and a second surface is coupled to the ribbon member along the first surfaces. A magnet is coupled to the second surface of the ribbon member and the second surface of the adhesive member includes an adhesive to couple it to an external object, such as clothing or a type of fabric. The strap assembly is premanufactured and used by an installer in desired cut lengths to install on clothing for example to facilitate closing openings and enabling those with hand operation deficiencies the ability to dress themselves without struggling with mainstream fasteners.

Abstract: An article (101) is provided which comprises a body (103) having an interior volume (113), and a collapsible inlet (105) which is in open communication with said interior volume and which is movable from a first position in which it extends from said body, to a second position in which it extends into said internal volume.

Abstract: According to an example, a system may receive a refresh column command for a column-oriented database. The refresh column command may identify a table in the column-oriented database and a denormalized column in the table. The system may determine column definitions for the column, generate a query to populate values from a data source associated with the column into the column based on the column definitions, and may execute the query to replace entire set of existing column values with the data source values.

Abstract: Described herein are compositions comprising, and methods for using a composition comprising, Staphylococcal Exfoliative Toxin A (ETA) in an amount and duration sufficient to decrease the Stratum Corneum in a region of a subjects skin.

Abstract: A flattened table (FT) of a database of a database management system (DBMS) is defined. The FT logically materializes a number of columns over a number of partitions. The columns include normalized columns, denormalized columns from a plurality of source tables of the database, as well as an aggregate column defining an aggregation of a selected normalized column over a selected denormalized column. A live-aggregate projection (LAP) is defined on the FT of the database. The LAP corresponds to the aggregate column and physically materializes the aggregation of the selected denormalized column over the selected denormalized column, as defined by the aggregate column. The FT is refreshed on-demand, on a per-column, per-partition basis. Responsive to the FT being refreshed on-demand, the LAP is automatically refreshed.

Abstract: In an example, a top-k function is associated with a top-k projection for a data storage system. Input data to be loaded into the data storage system is divided and ranked according to the top-k function and stored in the top-k projection.

Abstract: In an example, data from a source location is merged into a target location containing existing data, in which the source location and the target location contain tuples of data. For each tuple in the source location, during a single operation, a determination is made as to whether there is a matched tuple in the target location that satisfies a predetermined condition. For each matched tuple that satisfies the predetermined condition, the matched tuple in the target location is updated with a count value that is equal to a count of the matched tuple in the source location and the target location. In addition, for each tuple that does not have a matched tuple that satisfies the predetermined condition, the unmatched tuple is inserted into the target location.

Abstract: A flattened table (FT) of a database of a database management system (DBMS) is defined. The FT logically materializes a number of columns over a number of partitions. The columns include normalized columns, denormalized columns from a plurality of source tables of the database, as well as an aggregate column defining an aggregation of a selected normalized column over a selected denormalized column. A live-aggregate projection (LAP) is defined on the FT of the database. The LAP corresponds to the aggregate column and physically materializes the aggregation of the selected denormalized column over the selected denormalized column, as defined by the aggregate column. The FT is refreshed on-demand, on a per-column, per-partition basis. Responsive to the FT being refreshed on-demand, the LAP is automatically refreshed.

Abstract: A user-defined function (UDF) is received. Then, execution of the UDF is distributed into a plurality of phases. Lastly, each of the phases is executed separately on a relational database including an aggregate projection that stores an aggregate value calculated from a table column of a table using an aggregate function.

Abstract: According to an example, in a method for managing storage of data from an input table, a projection definition that includes an expression to be executed on data contained in a column of the input table may be accessed. The expression on the data contained in the column of the input table may be executed to obtain results data, which may be stored in an expression projection, in which the expression projection includes a column that provides physical storage for the results data. The results data may be stored in the expression projection, segmented, and encoded. In addition, the expression projection may be stored in a node.

Abstract: Examples herein involve providing a first query to an optimizer; identifying a first execution plan selected by the optimizer based on the first query; generating an annotated query based on the selected first execution plan, the annotated query comprising hints for executing the selected first execution plan; and storing the annotated query in a database, the annotated query to cause the optimizer to generate a second execution plan corresponding to the first execution plan based on the hints.

Abstract: In an example, an aggregate function is associated with an aggregate projection for a data storage system. Input data to be loaded into the data storage system is aggregated according to the aggregate function and stored in the aggregate projection.

Abstract: An article (101) is provided which comprises a body (103) having an interior volume (113), and a collapsible inlet (105) which is in open communication with said interior volume and which is movable from a first position in which it extends from said body, to a second position in which it extends into said internal volume.

Abstract: Described herein are compositions comprising, and methods for using a composition comprising, Staphylococcal Exfoliative Toxin A (ETA) in an amount and duration sufficient to decrease the Stratum Corneum in a region of a subjects skin.

Abstract: According to an example, database constraint generation may include receiving data related to a table in a database, analyzing the data to determine a row count for a column of the table, and analyzing the data to determine a number of distinct values for the column of the table. A comparison value may be determined by comparing the row count to the number of distinct values. The database constraint generation may further include determining if the comparison value is within a threshold. If the comparison value is within the threshold, an annotation may be added to the column of the table such that the column is considered unique during a cardinality estimation process involving the table.

Abstract: An article (101) is provided which comprises a body (103) having an interior volume (113), and a collapsible inlet (105) which is in open communication with said interior volume and which is movable from a first position in which it extends from said body, to a second position in which it extends into said internal volume.

Abstract: According to an example, a system may receive a refresh column command for a column-oriented database. The refresh column command may identify a table in the column-oriented database and a denormalized column in the table. The system may determine column definitions for the column, generate a query to populate values from a data source associated with the column into the column based on the column definitions, and may execute the query to replace entire set of existing column values with the data source values.

Abstract: A user-defined function (UDF) is received. Then, execution of the UDF is distributed into a plurality of phases. Lastly, each of the phases is executed separately on a relational database including an aggregate projection that stores an aggregate value calculated from a table column of a table using an aggregate function.

Abstract: In an example, data from a source location is merged into a target location containing existing data, in which the source location and the target location contain tuples of data. For each tuple in the source location, during a single operation, a determination is made as to whether there is a matched tuple in the target location that satisfies a predetermined condition. For each matched tuple that satisfies the predetermined condition, the matched tuple in the target location is updated with a count value that is equal to a count of the matched tuple in the source location and the target location. In addition, for each tuple that does not have a matched tuple that satisfies the predetermined condition, the unmatched tuple is inserted into the target location.

Abstract: In an example, data from a source location is merged into a target location containing existing data, in which both the source location and the target location contain tuples of data. For each tuple in the source location, during a single operation, a determination is made as to whether there is a matched tuple in the target location that satisfies a predetermined condition. For each matched tuple that satisfies the predetermined condition, the matched tuple in the target location is updated with a count value that is equal to a count of the matched tuple in the source location and the target location. In addition, for each tuple that does not have a matched tuple that satisfies the predetermined condition, the unmatched tuple is inserted into the target location.