![]() Using (var reader = new options = new DelimitedOptions(), 10) Mapper.Property(c => c.AverageSales).ColumnName("avg_sales") Mapper.Property(c => c.Created).ColumnName("created").InputFormat("yyyyMMdd") Mapper.Property(c => c.Name).ColumnName("name") Mapper.Property(c => c.CustomerId).ColumnName("customer_id") ![]() Var mapper = DelimitedTypeMapper.Define() Using the type mappers, you can directly read file contents into your classes: customer_id,name,created,avg_sales 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 |