GdaDataModelImport Imports data from a string or a file The #GdaDataModelImport data model imports data from a string or a file. The data can either be in a CSV (comma separated values) format or in an XML format as described by the libgda-array.dtd DTD (as a side way it is also possible to import data from an already-build XML tree validated against that DTD). The caller must decide, upon construction, if the new #GdaDataModelImport must support random access or simply a cursor based access. Random acces makes it easier to use the resulting data model but consumes more memory as all the data is copied in memory, and is thus not suitable for large data sets. Note that importing from an already-build XML tree will always result in a random access data model. Various import options can be specified using parameters in a #GdaParameterList object. The available options depend on the format of the imported data listed here: "SEPARATOR" (string, CVS import only): specifies the separator to consider "ESCAPE_CHAR" (string, CVS import only): specifies the character used to "escape" the strings contained between two separators "ENCODING" (string, CVS import only): specifies the character set used in the imported data "TITLE_AS_FIRST_LINE" (boolean, CVS import only): TRUE to specify that the first line of the imported data contains the column names "GDA_TYPE_<col number>" (gda type, CVS import only): specifies the requested GDA type for the column numbered "col number" "DBMS_TYPE_<col number>" (string, CVS import only): specifies the requested DBMS type for the column numbered "col number"; if the DBMS type is listed in the dictionary used by the created model, then the GDA type is set in accordance @parent_class: @filename: @random_access: @options: @Returns: @data: @random_access: @options: @Returns: @node: @Returns: @model: @Returns: @model: