1-command only required for an entire IRIS instance for Data Science projects, and leveraging this to compare query methods' speed (Dynamic SQL, Pandas Query, and Globals).
We have an existing process (running in FIFO order), all business hosts having pool size=1.
Currently we are reading records from a file (one record at a time) then that record goes to business process for further processing and finally through the business operation. As of now we are using synchronous call in our existing code. Before processing the last record we are using hang of 50 seconds because we need to initiate a batch once the processing of last record is finished.
Right now we have a script that successfully replaces the database for our IRIS development server with the latest snapshot from IRIS production, this process takes under 1 minute.
Embedded Python is a game-changer for InterSystems IRIS, offering access to the vast Python ecosystem directly within the database. However, bridging the gap between ObjectScript and Python can sometimes feel like translating between two different worlds.
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