Once a collection has been created, it can store JSON documents.
You store documents by passing a JSON data structure to the
Collection.add()
function. Some languages have
direct support for JSON data, others have an equivalent syntax to
represent that data. MySQL Connectors that implement X DevAPI aim
to implement support for all JSON methods that are native to the
Connectors' specific languages.
In addition, in some MySQL Connectors the generic
DbDoc
objects can be used. The most convenient
way to create them is by calling the
Collection.newDoc()
. DbDoc
is a data type to represent JSON documents and how it is
implemented is not defined by X DevAPI. Languages implementing
X DevAPI are free to follow an object-oriented approach with
getter and setter methods, or use a C struct style with public
members.
For strictly-typed languages it is possible to create class files based on the document structure definition of collections. MySQL Shell can be used to create those files.
Table 5.1 Different Types of Document Objects, Their Supported Languages, and Their Advantages
Document Objects |
Supported languages |
Advantages |
---|---|---|
Native JSON |
Scripting languages (JavaScript, Python) |
Easy to use |
JSON equivalent syntax |
C# (Anonymous Types, ExpandoObject) |
Easy to use |
DbDoc |
All languages |
Unified across languages |
Generated Doc Classes |
Strictly typed languages (C#) |
Natural to use |
The following example shows the different methods of inserting documents into a collection.
// Create a new collection 'my_collection'
var myColl = db.createCollection('my_collection');
// Insert JSON data directly
myColl.add({_id: '8901', name: 'Mats', age: 21}).execute();
// Inserting several docs at once
myColl.add([ {_id: '8902', name: 'Lotte', age: 24},
{_id: '8903', name: 'Vera', age: 39} ]).execute();