It also allows you to specify the Alignment (left or right) in cases where the value doesn't fill the entire width of the column (the default is left aligned). A Window records the Width of the column in the file. The FixedLengthSchema class is the same as the DelimitedSchema class, except it associates a Window to each column. ColumnName ( "avg_sales " ) using ( var reader = new StreamReader (File. Using the type mappers, you can directly read file contents into your classes: If you really want to, you can read and write values using raw object. For those working with ADO.NET, there's even support for DataTables and IDataReader. This saves you from having to specify column names or types, since both can be derived from the property. You can use the type mappers to map your properties directly. If you are working with data classes, defining schemas is even easier. FlatFiles was designed to make handling oddball edge cases easier. But when you need that level of extra control, you don't have to bend over backward to work around the API, like with many other libraries. Most of the time, the out-of-the-box options will just work, too. Beyond that, you have a lot of control over the parsing/formatting behavior when reading and writing, respectively. The order matches whatever order you add the columns to the schema, so you're left just specifying the name and the type. A column has a name, a type and an ordinal position in the file. You build and pass a schema to a reader or writer and it will use the schema to extract or write out your values.Ī schema is defined by specifying what data columns are in your file. Unlike most other libraries, FlatFiles puts a focus on schema definition. FlatFiles comes with support for working with both formats. Plain-text formats primarily come in two variations: delimited (CSV, TSV, etc.) and fixed-width. You can check out all of the awesome enhancements and new features in the CHANGELOG. Supports mapping directly between files and classes. Reads and writes CSV, fixed-length and other flat file formats with a focus on schema definition, configuration and speed.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |