The Spring Framework provides two means of programmatic transaction management, by using:
-
The
TransactionTemplate
orTransactionalOperator
. -
A
TransactionManager
implementation directly.
The Spring team generally recommends the TransactionTemplate
for programmatic
transaction management in imperative flows and TransactionalOperator
for reactive code.
The second approach is similar to using the JTA UserTransaction
API, although exception
handling is less cumbersome.
Using the TransactionTemplate
The TransactionTemplate
adopts the same approach as other Spring templates, such as
the JdbcTemplate
. It uses a callback approach (to free application code from having to
do the boilerplate acquisition and release transactional resources) and results in
code that is intention driven, in that your code focuses solely on what
you want to do.
As the examples that follow show, using the TransactionTemplate absolutely
couples you to Spring’s transaction infrastructure and APIs. Whether or not programmatic
transaction management is suitable for your development needs is a decision that you
have to make yourself.
|
Application code that must run in a transactional context and that explicitly uses the
TransactionTemplate
resembles the next example. You, as an application
developer, can write a TransactionCallback
implementation (typically expressed as an
anonymous inner class) that contains the code that you need to run in the context of
a transaction. You can then pass an instance of your custom TransactionCallback
to the
execute(..)
method exposed on the TransactionTemplate
. The following example shows how to do so:
-
Java
-
Kotlin
public class SimpleService implements Service {
// single TransactionTemplate shared amongst all methods in this instance
private final TransactionTemplate transactionTemplate;
// use constructor-injection to supply the PlatformTransactionManager
public SimpleService(PlatformTransactionManager transactionManager) {
this.transactionTemplate = new TransactionTemplate(transactionManager);
}
public Object someServiceMethod() {
return transactionTemplate.execute(new TransactionCallback() {
// the code in this method runs in a transactional context
public Object doInTransaction(TransactionStatus status) {
updateOperation1();
return resultOfUpdateOperation2();
}
});
}
}
// use constructor-injection to supply the PlatformTransactionManager
class SimpleService(transactionManager: PlatformTransactionManager) : Service {
// single TransactionTemplate shared amongst all methods in this instance
private val transactionTemplate = TransactionTemplate(transactionManager)
fun someServiceMethod() = transactionTemplate.execute<Any?> {
updateOperation1()
resultOfUpdateOperation2()
}
}
If there is no return value, you can use the convenient TransactionCallbackWithoutResult
class
with an anonymous class, as follows:
-
Java
-
Kotlin
transactionTemplate.execute(new TransactionCallbackWithoutResult() {
protected void doInTransactionWithoutResult(TransactionStatus status) {
updateOperation1();
updateOperation2();
}
});
transactionTemplate.execute(object : TransactionCallbackWithoutResult() {
override fun doInTransactionWithoutResult(status: TransactionStatus) {
updateOperation1()
updateOperation2()
}
})
Code within the callback can roll the transaction back by calling the
setRollbackOnly()
method on the supplied TransactionStatus
object, as follows:
-
Java
-
Kotlin
transactionTemplate.execute(new TransactionCallbackWithoutResult() {
protected void doInTransactionWithoutResult(TransactionStatus status) {
try {
updateOperation1();
updateOperation2();
} catch (SomeBusinessException ex) {
status.setRollbackOnly();
}
}
});
transactionTemplate.execute(object : TransactionCallbackWithoutResult() {
override fun doInTransactionWithoutResult(status: TransactionStatus) {
try {
updateOperation1()
updateOperation2()
} catch (ex: SomeBusinessException) {
status.setRollbackOnly()
}
}
})
Specifying Transaction Settings
You can specify transaction settings (such as the propagation mode, the isolation level,
the timeout, and so forth) on the TransactionTemplate
either programmatically or in
configuration. By default, TransactionTemplate
instances have the
default transactional settings. The
following example shows the programmatic customization of the transactional settings for
a specific TransactionTemplate:
-
Java
-
Kotlin
public class SimpleService implements Service {
private final TransactionTemplate transactionTemplate;
public SimpleService(PlatformTransactionManager transactionManager) {
this.transactionTemplate = new TransactionTemplate(transactionManager);
// the transaction settings can be set here explicitly if so desired
this.transactionTemplate.setIsolationLevel(TransactionDefinition.ISOLATION_READ_UNCOMMITTED);
this.transactionTemplate.setTimeout(30); // 30 seconds
// and so forth...
}
}
class SimpleService(transactionManager: PlatformTransactionManager) : Service {
private val transactionTemplate = TransactionTemplate(transactionManager).apply {
// the transaction settings can be set here explicitly if so desired
isolationLevel = TransactionDefinition.ISOLATION_READ_UNCOMMITTED
timeout = 30 // 30 seconds
// and so forth...
}
}
The following example defines a TransactionTemplate
with some custom transactional
settings by using Spring XML configuration:
<bean id="sharedTransactionTemplate"
class="org.springframework.transaction.support.TransactionTemplate">
<property name="isolationLevelName" value="ISOLATION_READ_UNCOMMITTED"/>
<property name="timeout" value="30"/>
</bean>
You can then inject the sharedTransactionTemplate
into as many services as are required.
Finally, instances of the TransactionTemplate
class are thread-safe, in that instances
do not maintain any conversational state. TransactionTemplate
instances do, however,
maintain configuration state. So, while a number of classes may share a single instance
of a TransactionTemplate
, if a class needs to use a TransactionTemplate
with
different settings (for example, a different isolation level), you need to create
two distinct TransactionTemplate
instances.
As the examples that follow show, using the TransactionTemplate absolutely
couples you to Spring’s transaction infrastructure and APIs. Whether or not programmatic
transaction management is suitable for your development needs is a decision that you
have to make yourself.
|
Using the TransactionalOperator
The TransactionalOperator
follows an operator design that is similar to other reactive
operators. It uses a callback approach (to free application code from having to do the
boilerplate acquisition and release transactional resources) and results in code that is
intention driven, in that your code focuses solely on what you want to do.
As the examples that follow show, using the TransactionalOperator absolutely
couples you to Spring’s transaction infrastructure and APIs. Whether or not programmatic
transaction management is suitable for your development needs is a decision that you have
to make yourself.
|
Application code that must run in a transactional context and that explicitly uses
the TransactionalOperator
resembles the next example:
-
Java
-
Kotlin
public class SimpleService implements Service {
// single TransactionalOperator shared amongst all methods in this instance
private final TransactionalOperator transactionalOperator;
// use constructor-injection to supply the ReactiveTransactionManager
public SimpleService(ReactiveTransactionManager transactionManager) {
this.transactionalOperator = TransactionalOperator.create(transactionManager);
}
public Mono<Object> someServiceMethod() {
// the code in this method runs in a transactional context
Mono<Object> update = updateOperation1();
return update.then(resultOfUpdateOperation2).as(transactionalOperator::transactional);
}
}
// use constructor-injection to supply the ReactiveTransactionManager
class SimpleService(transactionManager: ReactiveTransactionManager) : Service {
// single TransactionalOperator shared amongst all methods in this instance
private val transactionalOperator = TransactionalOperator.create(transactionManager)
suspend fun someServiceMethod() = transactionalOperator.executeAndAwait<Any?> {
updateOperation1()
resultOfUpdateOperation2()
}
}
TransactionalOperator
can be used in two ways:
-
Operator-style using Project Reactor types (
mono.as(transactionalOperator::transactional)
) -
Callback-style for every other case (
transactionalOperator.execute(TransactionCallback<T>)
)
Code within the callback can roll the transaction back by calling the setRollbackOnly()
method on the supplied ReactiveTransaction
object, as follows:
-
Java
-
Kotlin
transactionalOperator.execute(new TransactionCallback<>() {
public Mono<Object> doInTransaction(ReactiveTransaction status) {
return updateOperation1().then(updateOperation2)
.doOnError(SomeBusinessException.class, e -> status.setRollbackOnly());
}
}
});
transactionalOperator.execute(object : TransactionCallback() {
override fun doInTransactionWithoutResult(status: ReactiveTransaction) {
updateOperation1().then(updateOperation2)
.doOnError(SomeBusinessException.class, e -> status.setRollbackOnly())
}
})
Cancel Signals
In Reactive Streams, a Subscriber
can cancel its Subscription
and stop its
Publisher
. Operators in Project Reactor, as well as in other libraries, such as next()
,
take(long)
, timeout(Duration)
, and others can issue cancellations. There is no way to
know the reason for the cancellation, whether it is due to an error or a simply lack of
interest to consume further. Since version 5.3 cancel signals lead to a roll back.
As a result it is important to consider the operators used downstream from a transaction
Publisher
. In particular in the case of a Flux
or other multi-value Publisher
,
the full output must be consumed to allow the transaction to complete.
Specifying Transaction Settings
You can specify transaction settings (such as the propagation mode, the isolation level,
the timeout, and so forth) for the TransactionalOperator
. By default,
TransactionalOperator
instances have
default transactional settings. The
following example shows customization of the transactional settings for a specific
TransactionalOperator:
-
Java
-
Kotlin
public class SimpleService implements Service {
private final TransactionalOperator transactionalOperator;
public SimpleService(ReactiveTransactionManager transactionManager) {
DefaultTransactionDefinition definition = new DefaultTransactionDefinition();
// the transaction settings can be set here explicitly if so desired
definition.setIsolationLevel(TransactionDefinition.ISOLATION_READ_UNCOMMITTED);
definition.setTimeout(30); // 30 seconds
// and so forth...
this.transactionalOperator = TransactionalOperator.create(transactionManager, definition);
}
}
class SimpleService(transactionManager: ReactiveTransactionManager) : Service {
private val definition = DefaultTransactionDefinition().apply {
// the transaction settings can be set here explicitly if so desired
isolationLevel = TransactionDefinition.ISOLATION_READ_UNCOMMITTED
timeout = 30 // 30 seconds
// and so forth...
}
private val transactionalOperator = TransactionalOperator(transactionManager, definition)
}
As the examples that follow show, using the TransactionalOperator absolutely
couples you to Spring’s transaction infrastructure and APIs. Whether or not programmatic
transaction management is suitable for your development needs is a decision that you have
to make yourself.
|
Using the TransactionManager
The following sections explain programmatic usage of imperative and reactive transaction managers.
Using the PlatformTransactionManager
For imperative transactions, you can use a
org.springframework.transaction.PlatformTransactionManager
directly to manage your
transaction. To do so, pass the implementation of the PlatformTransactionManager
you
use to your bean through a bean reference. Then, by using the TransactionDefinition
and
TransactionStatus
objects, you can initiate transactions, roll back, and commit. The
following example shows how to do so:
-
Java
-
Kotlin
DefaultTransactionDefinition def = new DefaultTransactionDefinition();
// explicitly setting the transaction name is something that can be done only programmatically
def.setName("SomeTxName");
def.setPropagationBehavior(TransactionDefinition.PROPAGATION_REQUIRED);
TransactionStatus status = txManager.getTransaction(def);
try {
// put your business logic here
} catch (MyException ex) {
txManager.rollback(status);
throw ex;
}
txManager.commit(status);
val def = DefaultTransactionDefinition()
// explicitly setting the transaction name is something that can be done only programmatically
def.setName("SomeTxName")
def.propagationBehavior = TransactionDefinition.PROPAGATION_REQUIRED
val status = txManager.getTransaction(def)
try {
// put your business logic here
} catch (ex: MyException) {
txManager.rollback(status)
throw ex
}
txManager.commit(status)
Using the ReactiveTransactionManager
When working with reactive transactions, you can use a
org.springframework.transaction.ReactiveTransactionManager
directly to manage your
transaction. To do so, pass the implementation of the ReactiveTransactionManager
you
use to your bean through a bean reference. Then, by using the TransactionDefinition
and
ReactiveTransaction
objects, you can initiate transactions, roll back, and commit. The
following example shows how to do so:
-
Java
-
Kotlin
DefaultTransactionDefinition def = new DefaultTransactionDefinition();
// explicitly setting the transaction name is something that can be done only programmatically
def.setName("SomeTxName");
def.setPropagationBehavior(TransactionDefinition.PROPAGATION_REQUIRED);
Mono<ReactiveTransaction> reactiveTx = txManager.getReactiveTransaction(def);
reactiveTx.flatMap(status -> {
Mono<Object> tx = ...; // put your business logic here
return tx.then(txManager.commit(status))
.onErrorResume(ex -> txManager.rollback(status).then(Mono.error(ex)));
});
val def = DefaultTransactionDefinition()
// explicitly setting the transaction name is something that can be done only programmatically
def.setName("SomeTxName")
def.propagationBehavior = TransactionDefinition.PROPAGATION_REQUIRED
val reactiveTx = txManager.getReactiveTransaction(def)
reactiveTx.flatMap { status ->
val tx = ... // put your business logic here
tx.then(txManager.commit(status))
.onErrorResume { ex -> txManager.rollback(status).then(Mono.error(ex)) }
}