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S2PX prioritises the generation of a functionally-accurate Parallel Jobs above all else.
S2PX aims to support the Parallel implementation of as much Server Job functionality as possible.
S2PX aims to generate Parallel Job designs with a visual appearance that, as far as possible, matches that of their Server equivalents.
S2PX design decisions have been informed by a detailed analysis of >150K real-world Server jobs submitted by a broad range of IBM’s DataStage customers from around the world. This evidence alone is used to form our view of the DataStage Server Job landscape.
S2PX does not automatically convert DataStage BASIC routines into Parallel engine compatible routines, although it does provide facilities to make that processes easier.
S2PX uses your solution’s design-time information to inform its conversion. Runtime logs are not used to inform conversion decision.
S2PX generates Parallel Jobs with every stage set to run in sequential mode (for good reasons)
S2PX converts Hashed files to DRS stages (for good reasons)
S2PX runs in situ, meaning it exports Server jobs from your existing DataStage environment and delivers automatically-generated Parallel jobs into that same environment. Migrating those newly-generated Parallel jobs to an upgraded environment (e.g. DataStage v11.5 to v11.7, or even to Cloud Pak for Data) is achieved using other tools.
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