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1. Complex flat file stage datastage example programs how to#
2. Complex flat file stage datastage example programs code#

BuildOPS are purely written in C++, while Custom Operators can use anything as long as landing functions are defined in C++ (thus languages like Pro*C, Fortran, Pascal, etc.CustomOPS are generally used like any normal stages. CustomOPS can be vey flexible, BuildOPS are generally used for a specific purpose.While Datastage compiles BuildOPS, Datastage developer is responsible for compiling CustomOPS.Use Custom Stage to add new operator to PX canvas.Build an Operator and add to DataStage palette.Add PX operator that is not already in DataStage.The main reasons for building a custom stage: The good thing is that BuildOPS are compiled by DataStage itself.Ĭustom (C++ coding using framework API) is used when there is a need for custom coding and for dynamic input and output interfaces.

Complex flat file stage datastage example programs code#

If code does not compile outside of Datastage, it will not compile within Datastage PX either. The code needs to be Ansi C/C++ compliant. The Datastage interface called buildop automatically performs the tedious, error-prone tasks rquired to compile the program, such as invoke needed header files and build the necessary 'plumbing' for a correct and efficient parallel execution. Can combine functionality from different stages into one.Build once and reusable everywhere within project, no shared container necessary.Complex business logic that cannot be easily represented using existing stages, like advanced lookups across a range of values, custom surrogate key generation, calculating olling aggregates.The wrapper is thus comprised of the command and a parameter that contains a disk location.īuildops are good if users need custom coding but do not need dynamic (runtime-based) input and output interfaces.īuildop provides a simple means of extending beyond the functionality provided by PX, but does not use an existing executable (like the wrapper). Ls /dwdev/sourcedata would yield a list of files and subdirectories. So it is a user's task to know at design time the intended behavior of the wrapper and its schema interface.

Complex flat file stage datastage example programs how to#

Wrappers are treated by Infosphere Datastage as a black box, the application has no knowledge of contents, has no means of managing anything that occurs inside the wrapper, it only knows how to export data to and import data from the wrapper. There are a few conditions that the legacy executable needs to fulfill: Examples of commands that can be wrapped: a Binary file, Unix command (ls, grep, etc), Shell script. Wrappers are good if you cannot or do not want to modify the application and performance is not critical.īasically an OS-level legacy executable can be wrapped and turned into a Datastage PX stage (capable of parallel execution within the framework). Many people may ask why build a custom stage?īasically the main reason is to implement a complex business logic, not easily accomplished using standard Datastage stages or reuse of existing C, C++, Java, COBOL transformations.ĭatastage jobs can be extended using the following options:īoth BuildOPS and CustomOPS are primarly C++ code. The following article describes what are the options to build a DataStage PX stage that handles special processing needs not supplied with the native stages. One of the great features of Datastage Parallel engine is a possibility of extending it by creating custom components.