gaborgsomogyi commented on a change in pull request #19096: [SPARK-21869][SS] A
cached Kafka producer should not be closed if any task is using it - adds inuse
tracking.
URL: https://github.com/apache/spark/pull/19096#discussion_r267259001
##########
File path:
external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/CachedKafkaProducer.scala
##########
@@ -40,81 +94,103 @@ private[kafka010] object CachedKafkaProducer extends
Logging {
"spark.kafka.producer.cache.timeout",
s"${defaultCacheExpireTimeout}ms")).getOrElse(defaultCacheExpireTimeout)
- private val cacheLoader = new CacheLoader[Seq[(String, Object)], Producer] {
- override def load(config: Seq[(String, Object)]): Producer = {
- val configMap = config.map(x => x._1 -> x._2).toMap.asJava
- createKafkaProducer(configMap)
+ private val cacheLoader = new CacheLoader[Seq[(String, Object)],
CachedKafkaProducer] {
+ override def load(params: Seq[(String, Object)]): CachedKafkaProducer = {
+ CachedKafkaProducer(kafkaParams = params)
}
}
- private val removalListener = new RemovalListener[Seq[(String, Object)],
Producer]() {
+ private val closeQueue = new ConcurrentLinkedQueue[CachedKafkaProducer]()
+
+ private val removalListener = new RemovalListener[Seq[(String, Object)],
CachedKafkaProducer]() {
override def onRemoval(
- notification: RemovalNotification[Seq[(String, Object)], Producer]):
Unit = {
- val paramsSeq: Seq[(String, Object)] = notification.getKey
- val producer: Producer = notification.getValue
- logDebug(
- s"Evicting kafka producer $producer params: $paramsSeq, due to
${notification.getCause}")
- close(paramsSeq, producer)
+ notification: RemovalNotification[Seq[(String, Object)],
CachedKafkaProducer]): Unit = {
+ val producer: CachedKafkaProducer = notification.getValue
+ if (producer.inUse()) {
+ logDebug(s"Evicting kafka producer $producer, due to
${notification.getCause}.")
+ // When `inuse` producer is evicted we wait for it to be released
before finally closing it.
+ closeQueue.add(producer)
+ producer.unCache()
+ } else {
+ close(producer)
+ }
}
}
- private lazy val guavaCache: LoadingCache[Seq[(String, Object)], Producer] =
+ private lazy val guavaCache: LoadingCache[Seq[(String, Object)],
CachedKafkaProducer] =
CacheBuilder.newBuilder().expireAfterAccess(cacheExpireTimeout,
TimeUnit.MILLISECONDS)
.removalListener(removalListener)
- .build[Seq[(String, Object)], Producer](cacheLoader)
-
- private def createKafkaProducer(producerConfiguration: ju.Map[String,
Object]): Producer = {
- val updatedKafkaProducerConfiguration =
- KafkaConfigUpdater("executor", producerConfiguration.asScala.toMap)
- .setAuthenticationConfigIfNeeded()
- .build()
- val kafkaProducer: Producer = new
Producer(updatedKafkaProducerConfiguration)
- logDebug(s"Created a new instance of KafkaProducer for
$updatedKafkaProducerConfiguration.")
- kafkaProducer
- }
+ .build[Seq[(String, Object)], CachedKafkaProducer](cacheLoader)
/**
* Get a cached KafkaProducer for a given configuration. If matching
KafkaProducer doesn't
* exist, a new KafkaProducer will be created. KafkaProducer is thread safe,
it is best to keep
* one instance per specified kafkaParams.
*/
- private[kafka010] def getOrCreate(kafkaParams: ju.Map[String, Object]):
Producer = {
- val paramsSeq: Seq[(String, Object)] = paramsToSeq(kafkaParams)
- try {
- guavaCache.get(paramsSeq)
- } catch {
- case e @ (_: ExecutionException | _: UncheckedExecutionException | _:
ExecutionError)
- if e.getCause != null =>
- throw e.getCause
+ private[kafka010] def acquire(kafkaParamsMap: ju.Map[String, Object]):
CachedKafkaProducer =
+ this.synchronized {
+ val paramsSeq: Seq[(String, Object)] = paramsToSeq(kafkaParamsMap)
+ try {
+ val cachedKafkaProducer: CachedKafkaProducer =
guavaCache.get(paramsSeq)
+ val useCount = cachedKafkaProducer.inUseCount.incrementAndGet()
+ logDebug(s"Granted producer $cachedKafkaProducer, inuse-count:
$useCount")
+ cachedKafkaProducer
+ } catch {
+ case e@(_: ExecutionException | _: UncheckedExecutionException | _:
ExecutionError)
+ if e.getCause != null =>
+ throw e.getCause
+ }
}
- }
- private def paramsToSeq(kafkaParams: ju.Map[String, Object]): Seq[(String,
Object)] = {
- val paramsSeq: Seq[(String, Object)] = kafkaParams.asScala.toSeq.sortBy(x
=> x._1)
+ private def paramsToSeq(kafkaParamsMap: ju.Map[String, Object]):
Seq[(String, Object)] = {
+ val paramsSeq: Seq[(String, Object)] =
kafkaParamsMap.asScala.toSeq.sortBy(x => x._1)
paramsSeq
}
- /** For explicitly closing kafka producer */
- private[kafka010] def close(kafkaParams: ju.Map[String, Object]): Unit = {
- val paramsSeq = paramsToSeq(kafkaParams)
- guavaCache.invalidate(paramsSeq)
+ /* Release a kafka producer back to the kafka cache. We simple decrement
it's inuse count. */
+ private[kafka010] def release(producer: CachedKafkaProducer, failing:
Boolean): Unit = {
+ this.synchronized {
+ val inUseCount = producer.inUseCount.decrementAndGet()
+ logDebug(s"Released producer $producer, updated inuse count:
$inUseCount")
+ if (failing) {
+ // If this producer is failing to write, we remove it from cache.
+ // So that it is re-created, eventually.
+ logDebug(s"Invalidated a failing producer: $producer.")
+ guavaCache.invalidate(producer.kafkaParams)
Review comment:
Good idea, additionally makes the code more simple compared to my suggestion
[here](https://github.com/apache/spark/pull/19096#discussion_r266888173). My
one can be resolved because this covers it.
@ScrapCodes it would be good to cover this functionality with a unit test.
Something like:
```
test("Should not close already closed producer.") {
...
}
```
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