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Performance issue with DataWindow ImportString/ImportFile when containing Date columns (PowerBuilder 2025)
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  1. younghee choi
  2. PowerBuilder
  3. Saturday, 28 February 2026 01:56 AM UTC

Hi everyone,

I am currently modernizing an in-house system from PowerBuilder 9 to PowerBuilder 2025 using a Java REST API backend.

In our new architecture, the REST API server sends data in CSV format, and we use the DataWindow ImportString() or ImportFile() functions to populate the data.

However, I've encountered a significant performance issue: when the DataWindow contains Date type columns, the import speed becomes extremely slow. This slowness is very noticeable, especially when handling large datasets.

I am aware that converting Date columns to strings using Oracle's to_char() function on the server side could mitigate this, but it is very tedious to apply this to every single DataWindow and API.

Is there a way to improve the performance of ImportString or ImportFile while keeping the columns as Date types in the DataWindow? Any tips or configuration settings to handle large CSV imports with Date fields efficiently would be greatly appreciated.

PB2025 Convert Workspace to Solution git repository PB2025 and git diff viewer
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