次の方法で共有


Inferring DataSet Relational Structure from XML 

The relational structure, or schema, of a DataSet is made up of tables, columns, constraints, and relations. When loading a DataSet from XML, the schema can be predefined, or it can be created, either explicitly or through inference, from the XML being loaded. For more information about loading the schema and contents of a DataSet from XML, see Loading a DataSet from XML and Loading DataSet Schema Information from XML.

If the schema of a DataSet is being created from XML, the preferred method is to explicitly specify the schema using either the XML Schema definition language (XSD) (as described in Generating DataSet Relational Structure from XML Schema (XSD)) or the XML-Data Reduced (XDR). If no XML Schema or XDR schema is available in the XML, the schema of the DataSet can be inferred from the structure of the XML elements and attributes.

This section describes the rules for DataSet schema inference by showing XML elements and attributes and their structure, and the resulting inferred DataSet schema.

Not all attributes present in an XML document should be included in the inference process. Namespace-qualified attributes can include metadata that is important for the XML document but not for the DataSet schema. Using InferXmlSchema, you can specify namespaces to be ignored during the inference process. For more information, see Loading DataSet Schema Information from XML.

In This Section

  • Inferring Tables
    Describes the XML elements that are inferred as tables in a DataSet.
  • Inferring Columns
    Describes the XML elements and attributes that are inferred as table columns.
  • Inferring Element Text
    Describes the columns that are created for text in XML elements, and explains when text in XML elements is ignored.
  • Overview of ADO.NET
    Describes the ADO.NET architecture and components and how to use them to access existing data sources and manage application data.