DBFlow
5.0.0-alpha1
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Storing Data

DBFlow provide a few mechanisms by which we store data to the database. The difference of options should not provide confusion but rather allow flexibility in what you decide is the best way to store information.
DB classifies two different kind of DB transactions:
  1. 1.
    Synchronous
  2. 2.
    Asynchronous

Synchronous Storage

Saving data synchronous on the main thread should be avoided. We can save data synchronously using a synchronous transaction:
database<AppDatabase>().executeTransaction { db ->
modelAdapter.save(model, db)
modelAdapter.insert(model, db)
modelAdapter.update(model, db)
}
Avoid saving large amounts of models outside of a transaction:
// AVOID
models.forEach { it.save(db) }
// DO
database<AppDatabase>().executeTransaction { db ->
modelAdapter<MyModel>().saveAll(models, db)
}
Doing operations on the main thread can block it if you read and write to the DB on a different thread while accessing DB on the main. Instead, use Async Transactions.

Async Transactions

Transactions are ACID in SQLite, meaning they either occur completely or not at all. Using transactions significantly speed up the time it takes to store. So recommendation you should use transactions whenever you can.
Async is the preferred method. Transactions, using the DefaultTransactionManager, occur on one thread per-database (to prevent flooding from other DB in your app) and receive callbacks on the UI. You can override this behavior and roll your own or hook into an existing system, read here.
Also to use the legacy, priority-based system, read here.
A basic transaction:
val transaction = database<AppDatabase>().beginTransactionAsync { db ->
// handle to DB
// return a result, or execute a method that returns a result
}.build()
transaction.execute(
ready = { transaction -> } // perform any setup.
error = { transaction, error -> // handle any exceptions here },
completion = { transaction -> // called when transaction completes success or fail }
) { transaction, result ->
// utilize the result returned
transaction.cancel();
// attempt to cancel before its run. If it's already ran, this call has no effect.
The Success callback runs post-transaction on the UI thread. The Error callback is called on the UI thread if and only if it is specified and an exception occurs, otherwise it is thrown in the Transaction as a RuntimeException.
Note: all exceptions are caught when specifying the callback. Ensure you handle all errors, otherwise you might miss some problems.

ProcessModelTransaction

ProcessModelTransaction allows for more flexibility and for you to easily operate on a set of Model in a Transaction easily. It holds a list of Model by which you provide the modification method in the Builder. You can listen for when each are processed inside a normal Transaction.
It is a convenient way to operate on them:
database.beginTransactionAsync(items.processTransaction { model, db ->
// call some operation on model here
model.save(db)
model.insert(db) // or
model.delete(db) // or
}
.processListener { current, total, modifiedModel ->
// for every model looped through and completes
modelProcessedCount.incrementAndGet()
}
.build())
.execute()
You can listen to when operations complete for each model via the OnModelProcessListener. These callbacks occur on the UI thread. If you wish to run them on same thread (great for tests), set runProcessListenerOnSameThread() to true.

FastStoreModelTransaction

The FastStoreModelTransaction is the quickest, lightest way to store a List of Model into the database through a Transaction. Under the hood it just calls modelAdapter.saveAll() or (insertAll, updateAll, deleteAll) It comes with some restrictions when compared to ProcessModelTransaction:
  1. 1.
    All Model must be from same Table/Model Class.
  2. 2.
    No progress listening
  3. 3.
    Can only save, insert, or update the whole list entirely.
database.beginTransactionAsync(list.fastSave().build())
.execute()
database.beginTransactionAsync(list.fastInsert().build())
.execute()
database.beginTransactionAsync(list.fastUpdate().build())
.execute()
What it provides:
  1. 1.
    Reuses DatabaseStatement, and other classes where possible.
  2. 2.
    Opens and closes own DatabaseStatement per total execution.
  3. 3.
    Significant speed bump over ProcessModelTransaction at the expense of flexibility.

Custom TransactionManager

If you prefer to roll your own thread-management system or have an existing system you can override the default system included.
To begin you must implement a ITransactionQueue:
class CustomQueue : ITransactionQueue {
override fun add(transaction: Transaction<out Any?>) {
}
override fun cancel(transaction: Transaction<out Any?>) {
}
override fun startIfNotAlive() {
}
override fun cancel(name: String) {
}
override fun quit() {
}
}
You must provide ways to add(), cancel(Transaction), and startIfNotAlive(). The other two methods are optional, but recommended.
startIfNotAlive() in the DefaultTransactionQueue will start itself (since it's a thread).
Next you can override the BaseTransactionManager (not required, see later):
class CustomTransactionManager(databaseDefinition: DBFlowDatabase)
: BaseTransactionManager(CustomTransactionQueue(), databaseDefinition)
To register it with DBFlow, in your FlowConfig, you must:
FlowManager.init(FlowConfig.Builder(DemoApp.context)
.database(DatabaseConfig(
databaseClass = AppDatabase::class.java,
transactionManagerCreator = { databaseDefinition ->
CustomTransactionManager(databaseDefinition)
})
.build())
.build())

Priority Queue

In versions pre-3.0, DBFlow utilized a PriorityBlockingQueue to manage the asynchronous dispatch of Transaction. As of 3.0, it has switched to simply a FIFO queue. To keep the legacy way, a PriorityTransactionQueue was created.
As seen in Custom Transaction Managers, we provide a custom instance of the DefaultTransactionManager with the PriorityTransactionQueue specified:
FlowManager.init(FlowConfig.builder(context)
.database(DatabaseConfig.Builder(AppDatabase::class.java)
.transactionManagerCreator { db ->
// this will be called once database modules are loaded and created.
DefaultTransactionManager(
PriorityTransactionQueue("DBFlow Priority Queue"),
db)
}
.build())
.build())
What this does is for the specified database (in this case AppDatabase), now require each ITransaction specified for the database should wrap itself around the PriorityTransactionWrapper. Otherwise an the PriorityTransactionQueue wraps the existing Transaction in a PriorityTransactionWrapper with normal priority.
To specify a priority, wrap your original ITransaction with a PriorityTransactionWrapper:
database<AppDatabase>()
.beginTransactionAsync(myTransaction
.withPriority(PriorityTransactionWrapper.PRIORITY_HIGH))
.execute()