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• NIO -- Native system calls for reading the file means faster performance, but it is limited to only local files currently. No VFS support.
• Parallel running -- If you configure this step to run in multiple copies or in clustered mode, and you enable parallel running, each copy will read a separate block of a single file allowing you to distribute the file reading to several threads or even several slave nodes in a clustered transformation.
• Lazy conversion -- If you will be reading many fields from the file and many of those fields will not be manipulate, but merely passed through the transformation to land in some other text file or a database, lazy conversion can prevent Kettle from performing unnecessary work on those fields such as converting them into objects such as strings, dates, or numbers.

For information on valid date and numeric formats used in this step, view the Date Formatting Table and Number Formatting Table.

Options

The table below describes the options available for the CSV Input step:

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