akka.persistence.r2dbc.journal.JournalLogic.scala Maven / Gradle / Ivy
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Reactive Akka Journal, Snapshot Store, and Persistence Query plugin
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/*
* Copyright 2020-2021 Borislav Borisov.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package akka.persistence.r2dbc.journal
import akka.actor.ActorSystem
import akka.persistence.{AtomicWrite, PersistentRepr}
import akka.serialization.SerializationExtension
import akka.stream.Materializer
import akka.stream.scaladsl.{Sink, Source}
import java.util.{HashMap => JHMap, Map => JMap}
import scala.collection.immutable.Seq
import scala.concurrent.duration.{FiniteDuration, NANOSECONDS}
import scala.concurrent.{ExecutionContextExecutor, Future}
import scala.util.Try
/**
* A mixin with the journal logic (separated from [[ReactiveJournal]] to make testing easier).
*/
trait JournalLogic {
implicit val system: ActorSystem
lazy val reprSerDe = new PersistenceReprSerDe(SerializationExtension(system))
private lazy implicit val mat: Materializer = Materializer(system)
private lazy implicit val ec: ExecutionContextExecutor = system.dispatcher
private lazy val replayTimeout = {
val pluginPath = system.settings.config.getString("akka.persistence.journal.plugin")
val duration = system.settings.config.getConfig(pluginPath).getDuration("replay-messages-timeout")
FiniteDuration(duration.toNanos, NANOSECONDS)
}
protected val dao: JournalDao
private val writeInProgress: JMap[String, Future[Any]] = new JHMap
def asyncWriteMessages(messages: Seq[AtomicWrite]): Future[Seq[Try[Unit]]] = {
val asyncSerialized: Seq[Future[Try[Seq[JournalEntry]]]] = messages.map { atomicWrite =>
// Since all PersistentRepr are persisted atomically they all get the same timestamp
val now = System.currentTimeMillis()
val serialized = atomicWrite.payload.map(pr => reprSerDe.serialize(pr.withTimestamp(now)))
Future.sequence(serialized).map(TryUtil.flatten)
}
val future = Source.future(Future.sequence(asyncSerialized))
.flatMapConcat((serializedTries: Seq[Try[Seq[JournalEntry]]]) => {
val entriesToWrite: Seq[JournalEntry] = for {
serializeTry: Try[Seq[JournalEntry]] <- serializedTries
row: JournalEntry <- serializeTry.getOrElse(Seq.empty)
} yield row
dao.writeEvents(entriesToWrite).map(_ => TryUtil.writeCompleteSignal(serializedTries))
})
.runWith(Sink.last)
val pid = messages.head.persistenceId
writeInProgress.put(pid, future)
future.andThen { case _ => writeInProgress.remove(pid) }
}
def asyncDeleteMessagesTo(persistenceId: String, toSequenceNr: Long): Future[Unit] =
dao.deleteEvents(persistenceId, toSequenceNr).map(_ => ()).runWith(Sink.last)
def asyncReplayMessages(
persistenceId: String,
fromSequenceNr: Long,
toSequenceNr: Long,
max: Long
)(recoveryCallback: PersistentRepr => Unit): Future[Unit] = {
dao.fetchEvents(persistenceId, fromSequenceNr, toSequenceNr, max)
.completionTimeout(replayTimeout)
.mapAsync(1)(entry => reprSerDe.deserialize(entry).flatMap(Future.fromTry))
.runForeach(repr => recoveryCallback(repr))
.map(_ => ())
}
def asyncReadHighestSequenceNr(persistenceId: String, fromSequenceNr: Long): Future[Long] = {
def go(persistenceId: String, fromSequenceNr: Long) =
dao.readHighestSequenceNr(persistenceId, fromSequenceNr)
.orElse(Source.single(0L))
.runWith(Sink.last)
writeInProgress.get(persistenceId) match {
case null => go(persistenceId, fromSequenceNr)
case f => f.flatMap(_ => go(persistenceId, fromSequenceNr))
}
}
}