Migrating jobs to use connectors

To migrate jobs to use the connectors, you need to run the Connector Migration Tool.

To run the Connector Migration Tool, start it from the Microsoft Windows Programs menu or from the command line. If you start the tool from the command line, additional options that are not provided in the user interface are available.

The user interface leads you through the process of evaluating which jobs, shared containers, and stages to migrate. You select the jobs that you want to migrate, and beside each job name, the tool displays an icon that indicates whether or not the job can be fully migrated, partially migrated, or not migrated at all. To refine the list of jobs to evaluate, you can specify that only jobs that contain specific plug-in and operator stages be listed. The tool gives you a chance to make a backup of a job before you migrate it. You can make a backup copy of the job and then migrate the backup, or you can make a backup copy of the job and then migrate the original job. Either way, your original job is never lost. The job is migrated and placed in the same folder as the original job, and the log file CCMigration.log, which records the results of the migration, is created in the current directory.

The Connector Migration Tool command line options provide the same functionality as the user interface, as well as a few additional options. Using the command line, you can perform these additional tasks:
Note:
  • The Connector Migration Tool does not read environment variables at the operating system level. Environment variables are read only if they are defined within InfoSphere DataStage at the Project level or at the Job level. Project level environment variables are read first, then overwritten by Job environment variables. Environment variables with blank default values are ignored by the Connector Migration Tool. The default values of the environment variables are migrated, but the run-time values are not migrated.
  • Throughout this documentation, the term "job" refers to parallel shared containers and server shared containers, as well as IBM® InfoSphere® DataStage® jobs.