Classes represent tables¶
To make it easy to work with tables in MATLAB and Python, DataJoint programs create a separate class for each table.
Computer programmers refer to this concept as object-relational mapping.
For example, the class
experiment.Subject in the DataJoint client language may correspond to the table called
subject on the database server.
Users never need to see the database directly; they only interact with data in the database by creating and interacting with DataJoint classes.
Defining a table¶
To define a DataJoint table in Python:
Define a class inheriting from the appropriate DataJoint class:
Decorate the class with the schema object (see Creating Schemas)
Define the class property
definitionto define the table heading.
For example, the following code defines the table
import datajoint as dj schema = dj.schema('alice_experiment') @schema class Person(dj.Manual): definition = ''' username : varchar(20) # unique user name --- first_name : varchar(30) last_name : varchar(30) '''
@schema decorator uses the class name and the data tier to check whether an appropriate table exists on the database.
If a table does not already exist, the decorator creates one on the database using the definition property.
The decorator attaches the information about the table to the class, and then returns the class.
The class will become usable after you define the
definition property as described in Table Definition.
DataJoint classes in Python¶
DataJoint for Python is implemented through the use of classes providing access to the actual tables stored on the database.
Since only a single table exists on the database for any class, interactions with all instances of the class are equivalent.
As such, most methods can be called on the classes themselves rather than on an object, for convenience.
Whether calling a DataJoint method on a class or on an instance, the result will only depend on or apply to the corresponding table.
All of the basic functionality of DataJoint is built to operate on the classes themselves, even when called on an instance.
For example, calling
Person.insert(...) (on the class) and
Person.insert(...) (on an instance) both have the identical effect of inserting data into the table on the database server.
DataJoint does not prevent a user from working with instances, but the workflow is complete without the need for instantiation.
It is up to the user whether to implement additional functionality as class methods or methods called on instances.
Valid class names¶
Note that in both MATLAB and Python, the class names must follow the CamelCase compound word notation:
start with a capital letter and
contain only alphanumerical characters (no underscores).
Examples of valid class names:
Invalid class names: