Validating country documents
Validating country documents - absolute dating examples
Note that at the time of writing, Mongo DB 3.2 is not yet released but this functionality can be tried out in Mongo DB 3.2 which is available for testing only, not production.
In our case, we'll use the example of an XML document, Xml Document Url, that contains an As I explained previously, an XML Schemain our example, Schema Urldefines the structure of an XML document.For new data, we want to ensure the data is valid and therefore return an error if the validation fails.For any collection, developers or the DBA can choose to specify validation rules for each collection as well as indicating whether failed validations result in a hard error or just a warning – Table 1 shows the available permutations.However, use of multiple development languages makes it hard to add a validation layer across multiple applications.To address the challenges discussed above, while at the same time maintaining the benefits of a dynamic schema, Mongo DB 3.2 introduces document validation.This is possible, but in more agile approaches, the first version may deploy with no validations and future releases will add new data and checks.
Fortunately, Mongo DB 3.2 provides a great deal of flexibility in this area.XML Schema is an XML-based representation of the structure of an XML document.Through its support for datatypes and namespaces, XML Schema has the potential to provide the standard structure for XML elements and attributes.There is no need for stored procedures – which for many types of validation would be required in an RDBMS – and because the familiar Mongo DB query language is used, there is no new syntax to learn.The functionality is very flexible and it can enforce constraints on as little or as much of the schema as required.The element declarations in an XML Schema can specify the namespace/s of the elements in the XML document.