Rollback reactive transaction on cancel
This commit introduces a change in reactive transaction semantics for cancel signals. Canceling a subscription now rolls back a reactive transaction to achieve a deterministic transaction outcome. Previously, cancel signals committed a transaction which could cause partially committed transactions depending on when the cancel happened.
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committed by
Juergen Hoeller
parent
8853f4b883
commit
217b6e37a6
@@ -184,7 +184,7 @@ transaction management. The following listing shows the definition of the
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@Throws(TransactionException::class)
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fun rollback(status: TransactionStatus)
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}
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----
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----
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This is primarily a service provider interface (SPI), although you can use it
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<<transaction-programmatic-ptm, programmatically>> from your application code. Because
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@@ -241,7 +241,7 @@ listing shows the transaction strategy defined by
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@Throws(TransactionException::class)
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fun rollback(status: ReactiveTransaction): Mono<Void>
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}
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----
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----
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The reactive transaction manager is primarily a service provider interface (SPI),
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although you can use it <<transaction-programmatic-rtm, programmatically>> from your
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@@ -1698,7 +1698,7 @@ in the application context:
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@Transactional("account")
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public void doSomething() { ... }
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@Transactional("reactive-account")
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public Mono<Void> doSomethingReactive() { ... }
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}
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@@ -2399,11 +2399,11 @@ the `TransactionOperator` resembles the next example:
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}
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public Mono<Object> someServiceMethod() {
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// the code in this method executes in a transactional context
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Mono<Object> update = updateOperation1();
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return update.then(resultOfUpdateOperation2).as(transactionalOperator::transactional);
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}
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}
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@@ -2463,9 +2463,7 @@ In Reactive Streams, a `Subscriber` can cancel its `Subscription` and terminate
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`Publisher`. Operators in Project Reactor, as well as in other libraries, such as `next()`,
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`take(long)`, `timeout(Duration)`, and others can issue cancellations. There is no way to
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know the reason for the cancellation, whether it is due to an error or a simply lack of
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interest to consume further, and in version 5.2 the `TransactionalOperator` defaults to
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committing the transaction on cancel. In version 5.3 this behavior will change and
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transactions will be roll back on cancel to create a reliable and deterministic outcome.
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interest to consume further. Since version 5.3 cancel signals lead to a roll back.
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As a result it is important to consider the operators used downstream from a transaction
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`Publisher`. In particular in the case of a `Flux` or other multi-value `Publisher`,
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the full output must be consumed to allow the transaction to complete.
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@@ -2490,7 +2488,7 @@ following example shows customization of the transactional settings for a specif
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public SimpleService(ReactiveTransactionManager transactionManager) {
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DefaultTransactionDefinition definition = new DefaultTransactionDefinition();
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// the transaction settings can be set here explicitly if so desired
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definition.setIsolationLevel(TransactionDefinition.ISOLATION_READ_UNCOMMITTED);
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definition.setTimeout(30); // 30 seconds
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@@ -2588,9 +2586,9 @@ following example shows how to do so:
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def.setPropagationBehavior(TransactionDefinition.PROPAGATION_REQUIRED);
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Mono<ReactiveTransaction> reactiveTx = txManager.getReactiveTransaction(def);
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reactiveTx.flatMap(status -> {
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Mono<Object> tx = ...; // execute your business logic here
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return tx.then(txManager.commit(status))
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@@ -2942,7 +2940,7 @@ this `DataSource`. The following example autowires a `DataSource`:
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----
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@Repository
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class JdbcMovieFinder(dataSource: DataSource) : MovieFinder {
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private val jdbcTemplate = JdbcTemplate(dataSource)
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// ...
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@@ -3202,8 +3200,8 @@ The following query finds and populates a single domain object:
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----
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val actor = jdbcTemplate.queryForObject(
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"select first_name, last_name from t_actor where id = ?",
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arrayOf(1212L)) { rs, _ ->
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Actor(rs.getString("first_name"), rs.getString("last_name"))
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arrayOf(1212L)) { rs, _ ->
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Actor(rs.getString("first_name"), rs.getString("last_name"))
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}
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----
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@@ -3455,7 +3453,7 @@ method with `@Autowired`. The following example shows how to do so:
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class JdbcCorporateEventDao(dataSource: DataSource) : CorporateEventDao { // <2>
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private val jdbcTemplate = JdbcTemplate(dataSource) // <3>
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// JDBC-backed implementations of the methods on the CorporateEventDao follow...
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}
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----
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@@ -3794,10 +3792,10 @@ translator:
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private val jdbcTemplate = JdbcTemplate(dataSource).apply {
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// create a custom translator and set the DataSource for the default translation lookup
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exceptionTranslator = CustomSQLErrorCodesTranslator().apply {
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this.dataSource = dataSource
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this.dataSource = dataSource
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}
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}
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fun updateShippingCharge(orderId: Long, pct: Long) {
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// use the prepared JdbcTemplate for this update
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this.jdbcTemplate!!.update("update orders" +
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@@ -4021,8 +4019,8 @@ on Oracle but may not work on other platforms:
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val name = "Rob"
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val keyHolder = GeneratedKeyHolder()
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jdbcTemplate.update({
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it.prepareStatement (INSERT_SQL, arrayOf("id")).apply { setString(1, name) }
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jdbcTemplate.update({
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it.prepareStatement (INSERT_SQL, arrayOf("id")).apply { setString(1, name) }
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}, keyHolder)
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// keyHolder.getKey() now contains the generated key
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@@ -4960,7 +4958,7 @@ the constructor of your `SimpleJdbcCall`. The following example shows this confi
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private var procReadActor = SimpleJdbcCall(JdbcTemplate(dataSource).apply {
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isResultsMapCaseInsensitive = true
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}).withProcedureName("read_actor")
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// ... additional methods
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}
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----
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@@ -5718,7 +5716,7 @@ the supplied `ResultSet`, as follows:
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import org.springframework.jdbc.core.RowMapper
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class GenreMapper : RowMapper<Genre> {
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override fun mapRow(rs: ResultSet, rowNum: Int): Genre {
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return Genre(rs.getString("name"))
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}
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@@ -6836,7 +6834,7 @@ implementation resembles the following example, based on the plain Hibernate API
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.Kotlin
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----
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class ProductDaoImpl(private val sessionFactory: SessionFactory) : ProductDao {
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fun loadProductsByCategory(category: String): Collection<*> {
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return sessionFactory.currentSession
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.createQuery("from test.Product product where product.category=?")
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@@ -7044,7 +7042,7 @@ and an example for a business method implementation:
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----
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class ProductServiceImpl(transactionManager: PlatformTransactionManager,
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private val productDao: ProductDao) : ProductService {
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private val transactionTemplate = TransactionTemplate(transactionManager)
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fun increasePriceOfAllProductsInCategory(category: String) {
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