IRIS and Ensemble are designed to act as an ESB/EAI. This mean they are build to process lots of small messages.
But some times, in real life we have to use them as ETL. The down side is not that they can't do so, but it can take a long time to process millions of row at once.
To improve performance, I have created a new SQLOutboundAdaptor who only works with JDBC.
BatchSqlOutboundAdapter
Extend EnsLib.SQL.OutboundAdapter to add batch batch and fetch support on JDBC connection.
This series of articles would cover Python Gateway for InterSystems Data Platforms. Execute Python code and more from InterSystems IRIS. This project brings you the power of Python right into your InterSystems IRIS environment:
Running predictive models natively in an InterSystems IRIS Business Process has of course always been the goal of our PMML support, but somehow never made it into the kit because there were a few dependencies and choices that needed addressing and answering. Anyhow, thanks to some pushing and code kindly provided by @Amir Samary (Thanks again Amir!), we finally got it wrapped in a GitHub repo for your enjoyment, review and suggestions.
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