object Consumer
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- sealed trait AutoOffsetStrategy extends AnyRef
- sealed trait OffsetRetrieval extends AnyRef
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- final def !=(arg0: Any): Boolean
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- final def asInstanceOf[T0]: T0
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- def assignment: RIO[Consumer, Set[TopicPartition]]
Accessor method for Consumer.assignment
- def beginningOffsets(partitions: Set[TopicPartition], timeout: zio.Duration = Duration.Infinity): RIO[Consumer, Map[TopicPartition, Long]]
Accessor method for Consumer.beginningOffsets
- def clone(): AnyRef
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- @throws(classOf[java.lang.CloneNotSupportedException]) @native()
- def committed(partitions: Set[TopicPartition], timeout: zio.Duration = Duration.Infinity): RIO[Consumer, Map[TopicPartition, Option[OffsetAndMetadata]]]
Accessor method for Consumer.committed
- def consumeWith[R, R1, K, V](settings: ConsumerSettings, subscription: Subscription, keyDeserializer: Deserializer[R, K], valueDeserializer: Deserializer[R, V], commitRetryPolicy: Schedule[Any, Any, Any] = Schedule.exponential(1.second) && Schedule.recurs(3))(f: (ConsumerRecord[K, V]) => URIO[R1, Unit])(implicit arg0: zio.EnvironmentTag[R], arg1: zio.EnvironmentTag[R1]): RIO[zio.&[R, R1], Unit]
Execute an effect for each record and commit the offset after processing
Execute an effect for each record and commit the offset after processing
This method is the easiest way of processing messages on a Kafka topic.
Messages on a single partition are processed sequentially, while the processing of multiple partitions happens in parallel.
Offsets are committed after execution of the effect. They are batched when a commit action is in progress to avoid backpressuring the stream. When commits fail due to a org.apache.kafka.clients.consumer.RetriableCommitFailedException they are retried according to commitRetryPolicy
The effect should absorb any failures. Failures should be handled by retries or ignoring the error, which will result in the Kafka message being skipped.
Messages are processed with 'at least once' consistency: it is not guaranteed that every message that is processed by the effect has a corresponding offset commit before stream termination.
Usage example:
val settings: ConsumerSettings = ??? val subscription = Subscription.Topics(Set("my-kafka-topic")) val consumerIO = Consumer.consumeWith(settings, subscription, Serdes.string, Serdes.string) { record => // Process the received record here putStrLn(s"Received record: ${record.key()}: ${record.value()}") }
- R
Environment for the consuming effect
- R1
Environment for the deserializers
- K
Type of keys (an implicit
Deserializershould be in scope)- V
Type of values (an implicit
Deserializershould be in scope)- settings
Settings for creating a Consumer
- subscription
Topic subscription parameters
- keyDeserializer
Deserializer for the key of the messages
- valueDeserializer
Deserializer for the value of the messages
- commitRetryPolicy
Retry commits that failed due to a RetriableCommitFailedException according to this schedule
- f
Function that returns the effect to execute for each message. It is passed the org.apache.kafka.clients.consumer.ConsumerRecord.
- returns
Effect that completes with a unit value only when interrupted. May fail when the Consumer fails.
- def endOffsets(partitions: Set[TopicPartition], timeout: zio.Duration = Duration.Infinity): RIO[Consumer, Map[TopicPartition, Long]]
Accessor method for Consumer.endOffsets
- final def eq(arg0: AnyRef): Boolean
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- def equals(arg0: AnyRef): Boolean
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- def finalize(): Unit
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- final def getClass(): Class[_ <: AnyRef]
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- @native()
- def hashCode(): Int
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- @native()
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- def listTopics(timeout: zio.Duration = Duration.Infinity): RIO[Consumer, Map[String, List[PartitionInfo]]]
Accessor method for Consumer.listTopics
- def live: RLayer[zio.&[ConsumerSettings, Diagnostics], Consumer]
- def make(settings: ConsumerSettings, diagnostics: Diagnostics = Diagnostics.NoOp): ZIO[Scope, Throwable, Consumer]
- def metrics: RIO[Consumer, Map[MetricName, Metric]]
Accessor method for Consumer.metrics
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
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- final def notify(): Unit
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- @native()
- final def notifyAll(): Unit
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- @native()
- val offsetBatches: ZSink[Any, Nothing, Offset, Nothing, OffsetBatch]
- def offsetsForTimes(timestamps: Map[TopicPartition, Long], timeout: zio.Duration = Duration.Infinity): RIO[Consumer, Map[TopicPartition, OffsetAndTimestamp]]
Accessor method for Consumer.offsetsForTimes
- def partitionedAssignmentStream[R, K, V](subscription: Subscription, keyDeserializer: Deserializer[R, K], valueDeserializer: Deserializer[R, V]): ZStream[Consumer, Throwable, Chunk[(TopicPartition, ZStream[R, Throwable, CommittableRecord[K, V]])]]
- def partitionedStream[R, K, V](subscription: Subscription, keyDeserializer: Deserializer[R, K], valueDeserializer: Deserializer[R, V]): ZStream[Consumer, Throwable, (TopicPartition, ZStream[R, Throwable, CommittableRecord[K, V]])]
Accessor method for Consumer.partitionedStream
- def partitionsFor(topic: String, timeout: zio.Duration = Duration.Infinity): RIO[Consumer, List[PartitionInfo]]
Accessor method for Consumer.partitionsFor
- def plainStream[R, K, V](subscription: Subscription, keyDeserializer: Deserializer[R, K], valueDeserializer: Deserializer[R, V], bufferSize: Int = 4): ZStream[zio.&[R, Consumer], Throwable, CommittableRecord[K, V]]
Accessor method for Consumer.plainStream
- def position(partition: TopicPartition, timeout: zio.Duration = Duration.Infinity): RIO[Consumer, Long]
Accessor method for Consumer.position
- def stopConsumption: RIO[Consumer, Unit]
Accessor method for Consumer.stopConsumption
- def subscription: RIO[Consumer, Set[String]]
Accessor method for Consumer.subscription
- final def synchronized[T0](arg0: => T0): T0
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- def toString(): String
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- final def wait(): Unit
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- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long, arg1: Int): Unit
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- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
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- @throws(classOf[java.lang.InterruptedException]) @native()
- object AutoOffsetStrategy
- object OffsetRetrieval
- case object RunloopTimeout extends RuntimeException with NoStackTrace with Product with Serializable