Abstract: Disclosed is a method, system, program, and data structure for performing a clean operation on an input table. The input table to clean is indicated in an input data table name. At least one rule definition is processed to clean the input table. Each rule definition indicates a find criteria, a replacement value, and an input data column in the input table. For each rule definition, the input data column is searched for any fields that match the find criteria. The replacement value for the particular rule definition is inserted in the fields in the input data column that match the find criteria. Subsequent applications of additional rule definitions applied to the same input data column operate on replacement values inserted in the input data column during previously applied rule definitions.

Abstract: Disclosed is a method, system, program, and data structure for performing a clean operation on an input table. The input table to clean is indicated in an input data table name. At least one rule definition is processed to clean the input table. Each rule definition indicates a find criteria, a replacement value, and an input data column in the input table. For each rule definition, the input data column is searched for any fields that match the find criteria. The replacement value for the particular rule definition is inserted in the fields in the input data column that match the find criteria. Subsequent applications of additional rule definitions applied to the same input data column operate on replacement values inserted in the input data column during previously applied rule definitions.

Abstract: A metadata extraction system executes a query against a database on a data storage device connected to a computer. Initially, the query is modified to replace one or more selected clauses with a false clause. The modified query with the false clause is executed. Metadata is retrieved from the result set obtained by executing the modified query. The metadata is used to obtain column types, which are converted to Java™ types. Then, a SQLJ iterator is generated, which has parameters for the Java™ types.

Abstract: Disclosed is a method, system, program, and data structure for performing a clean operation on an input table. An input data table name indicates the input table. A first column in a table including a plurality of entries and at least one rule definition are processed. Each rule definition indicates a look-up column including a plurality of entries and a clean operation. A determination is made, for each record in the input table column, whether the record matches one entry in the look-up column. If so, the clean operation indicated in the rule definition is performed on each record that matches one entry in the look-up column.

Abstract: Disclosed is a method, system, program, and data structure for transforming data in an input table in a database in a server in communication with a client. A transform command is received from the client indicating an input data table name in the database and at least one rule indicating at least one cell in the input table to transform and a transform operation to perform with respect to the at least one cell. The transform command is executed in the server including the database by accessing a copy of the input table from the database and transforming data in the accessed input table according to each rule specified in the transform command.

Abstract: Disclosed is a method, system, program, and data structure for transforming an input table. The input data table is comprised of multiple columns and rows. For each column, the data from one column in the input table is copied into one row in an output table to invert the input table.

Abstract: Disclosed is a method, system, program, and data structure for transforming at least one column in a database input table. An input data table has multiple columns and rows. A determination is made of multiple data column names and multiple pivot columns in the input table. A row is generated in an output table for each data column name, having one data column name field including one data column name and at least one pivot column field including the value in one pivot column field in the input table, wherein each of the rows in the output table for each data column name has different values in at least one of the data column name field and pivot column field.

Abstract: A method for increasing boot speed of a host computer with associated hard disk drive generates a prefetch table that contains pointers to disk locations and lengths of the records of an application program requested by the host computer during an initial power-on/reset. During the next power-on/reset, before the host computer is ready for data but after the disk drive has completed its reset routine, using the prefetch table the disk drive accesses the previously requested data and copies it onto the cache of the disk drive, from where it is transferred to the host computer when the host computer requests it. The prefetch table is updated to reflect disk location changes for the various records, or to reflect new records that were requested by the host computer but not found in cache during the previous power-on/reset.