Writing a Model
Lets say this is SQL for the DB table (for MySQL)
Simple models are written in one line of code. No need for setters or getters.
Tip: name of the model reflects a singular form of the table name. ActiveJDBC models feel similar to Map interface (although they do not implement it). In order to access a model attributes, you usually use built-in dynamic setters and getters:
This will search a table PEOPLE. The framework will generate a SQL similar to this one:
As you can see, the framework generates the query from SELECT to the WHERE. The only part that the developer is required to provide is the actual criteria. This is just plain old SQL, albeit only a portion.
In this case, the value
John will be substituted for a question mark. The number of question marks and substitute values is flexible, but must match one another.
Processing large result sets
In all previous results, the entire result set was loaded into memory. This approach is fine in case of relatively small results, but might prove a performance bottleneck for very large data sets. The approach below is somewhat reminiscent of SAX approach, where a super large data set from a DB is read, and for every one record found, it produces a callback. Within that callback, you perform whatever operation that makes sense for the application. The advantage of this approach is not needing to allocate a ton of memory. This is usually a preferred method for batch processes. Think of this as streaming of data from the database.
Finding one record
Finding just one record can be achieved with
findFirst method. As name suggests, even if the query can result in multiple records, only the first one is returned.
Finding all records
This is a method or returning all records from a table, use carefully as this will load them all into memory (when you start processing the result, not when this method is called)
Dumping all records
This convenience method is used while writing tests.
Statement above will dump all records into standard output. Do not execute for large data sets.
Create and save
There are many (more concise) methods of creation of models, this is being the most simple and self-explanatory:
See more ways to Create records
Metadata is used to check valid attributes
If you look at the SQL at the top of this page, you will see that the table backing up the model does not have a column
name1. Since the framework will interrogate the DB at the startup and retrieve all metadata information for each table, it will know which model has which attributes. As such, setting a wrong attribute will generate a runtime exception.
Here is an example exception (generated from code snippet above):
java.lang.IllegalArgumentException: Attribute: 'name1' is not defined in model: 'class activejdbc.test_models.Person', available attributes: [id, updated_at, graduation_date, dob, name, last_name, created_at] ...
We often cause this exception in tests on purpose, just to see the attributes of a model in question.
Lookup and save
Putting it together, it is trivial to look up data from DB, modify it, and then save.
Find by id
This is self-explanatory. If you know the ID, it is easy to get the model that represents this record.
Count all records
Counting all records is as simple as calling the
Counting some records is equally easy, all you have to do is to provide criteria.
Use raw SQL
In case, a query is really complicated, you can always resort to raw SQL like this:
The only requirement to this method is that your select statement should select all columns from a table that this model represents. Since model knows which attributes belong to it, it will pluck them from the result set, and you will have a normal list of models (Book in this case) that are initialized from your query.
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