Data Pipeline 2.2.6 Now Available

  • performance improvements in CSV and fixed width handling
  • untyped expression evaluation is now based on the value’s type, instead of the field’s declared type
  • BUGFIX: now handles untyped expressions between primitive and object values
  • float expressions are now upgraded to doubles during evaluation
  • all non doubles and floats numbers are now upgraded to longs during evaluation
  • expressions can now reference Java beans, not just primitive values
  • method call expression now finds the most appropriate method based on the runtime argument types (
  • improved handling for collections and arrays in DataException properties
  • Apache PoiProvider can now distinguish between date, time, and datetimes fields in Excel

About The DataPipeline Team

We make Data Pipeline — a lightweight ETL framework for Java. Use it to filter, transform, and aggregate data on-the-fly in your web, mobile, and desktop apps. Learn more about it at

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