DataStage has a number of built-in transform functions which are located in the Routines ➤ Examples ➤ Functions branch of the Repository. These are functions that you can use when defining custom transforms. The following program components are classified as routines: Routines: Routines are stored in the Routines branch of the DataStage Repository, where you can create, view, or edit them using the Routine dialog box. What are Routines and where/how are they written and have you written any routines before? REJECTED is initially TRUE, but is set to FALSE whenever an output link is successfully written.ĥ5. See the Time A text mark (a delimiter used in Universe files), Char The compiler replaces the value with The user A value mark (a delimiter used in Universe files), Char The name of the current DataStage project The current year extracted from Can be used in the constraint expression of a Transformer stage of an output link. For use in derivations in Transformer The user login The current extracted from the value in The null The internal representation of the null value, Char The pathname of the current DataStage The schema name of the current DataStage A subvalue mark (a delimiter used in Universe files), codes returned by system processes or The internal time when the program started. For use in constrains and derivations in Transformer Output row counter (per link). See the Date The day of the month extracted from the value in The compiler replaces the value with A field mark, Char An item mark, Char Input row counter. System variables are the internal date when the program started. The DataStage client components are:AdministratorAdministers DataStage projects and conducts housekeeping on the serverDesignerCreates DataStage jobs that are compiled into executable programs Director Used to run and monitor the DataStage jobsManagerAllows you to view and edit the contents of the repositoryĭataStage provides a set of variables containing useful system information that you can access from a transform or routine. In data stage I/O and Transfer, under interface tab: input, out put & transfer pages will have 4 tabs and the last one is build under that u can find the TABLE NAME.
It insulates the data warehouse from changes in the schema of operational systems. Metadata is stored in a data dictionary and repository. Metadata includes things like the name, length, valid values, and description of a data element.
The repository environment encompasses all corporate metadata resources: database catalogs, data dictionaries, and navigation services. Examples of metadata include data element descriptions, data type descriptions, attribute/property descriptions, range/domain descriptions, and process/method descriptions. What are the Repository Tables in DataStage and what are they?Ī datawarehouse is a repository (centralized as well as distributed) of Data, able to answer any adhoc, analytical, historical or complex queries.
0 kommentar(er)
