Do you need a database to use web2py?
Most applications in web2py require a database connection. Therefore, building the database model is the first step in the design of an application. Consider the newly created application named “helloWorld”.
What is the database abstraction layer in web2py?
smart_query (experimental) web2py comes with a Database Abstraction Layer (DAL), an API that maps Python objects into database objects such as queries, tables, and records.
How to delete a field from a table in web2py?
Deleting a field from the table keeps it active in the database, due to which web2py will not be aware of any changes made. In this case, it is necessary to set the fake_migrate = True which will help to redefine the metadata such that any changes such as alter or delete will be kept under the knowledge of web2py.
Which is the advantage of using Dal in web2py?
The DAL dynamically generates the SQL in real time using the specified dialect for the database back end, so that it is not mandatory for a developer to write complete SQL query. The major advantage of using DAL is that the applications will be portable with different kinds of databases. Most applications in web2py require a database connection.
What happens if web2py fails to connect to the database?
If web2py fails to connect to the database it waits 1 second and by default tries again up to 5 times before declaring a failure. In case of connection pooling it is possible that a pooled connection that stays open but unused for some time is closed by the database end.
How does web2py work to create a table?
Once the connection is established, web2py will create, alter, and drop tables appropriately.
What makes up the Dal class in web2py?
Here is a list of drivers: web2py defines the following classes that make up the DAL: DAL represents a database connection. For example: Table represents a database table. You do not directly instantiate Table; instead, DAL.define_table instantiates it.
smart_query (experimental) web2py comes with a Database Abstraction Layer (DAL), an API that maps Python objects into database objects such as queries, tables, and records.