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  • Full implementation of DataContext and UpdateableDataContext.
  • Streaming query support without memory leaks, tested on billion-record data sets.
  • Support for parallelized row-parsing when multiline values are turned OFF. In these cases the Row objects served for queries have not yet been parsed, making this a potential parallel data consumption activity. 
  • Support for sample-based COUNT queries when the query's COUNT select item has the "allow function approximation" flag set. This means that applications can get a quick approximation of the amount of rows, even in a really big file.

Creating from plain old java code - CsvDataContext

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