Packages

  • package root
    Definition Classes
    root
  • package com
    Definition Classes
    root
  • package adform
    Definition Classes
    com
  • package streamloader

    The entry point of the stream loader library is the StreamLoader class, which requires a KafkaSource and a Sink.

    The entry point of the stream loader library is the StreamLoader class, which requires a KafkaSource and a Sink. Once started it will subscribe to the provided topics and will start polling and sinking records. The sink has to be able to persist records and to look up committed offsets (technically this is optional, but without it there would be no way to provide any delivery guarantees). A large class of sinks are batch based, implemented as RecordBatchingSink. This sink accumulate batches of records using some RecordBatcher and once ready, stores them to some underlying RecordBatchStorage. A common type of batch is file based, i.e. a batcher might write records to a temporary file and once the file is full the sink commits the file to some underlying storage, such as a database or a distributed file system like HDFS.

    A sketch of the class hierarchy illustrating the main classes and interfaces can be seen below.



    For concrete storage implementations see the clickhouse, hadoop, s3 and vertica packages. They also contain more file builder implementations than just the CsvFileBuilder included in the core library.

    Definition Classes
    adform
  • package model
    Definition Classes
    streamloader
  • StreamInterval
  • StreamPosition
  • StreamRange
  • StreamRangeBuilder
  • StreamRecord
  • Timestamp

case class StreamRecord(consumerRecord: ConsumerRecord[Array[Byte], Array[Byte]], watermark: Timestamp) extends Product with Serializable

A single record consumed from the source.

consumerRecord

The Kafka consumer record.

watermark

The calculated watermark, i.e. the maximum timestamp seen.

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Instance Constructors

  1. new StreamRecord(consumerRecord: ConsumerRecord[Array[Byte], Array[Byte]], watermark: Timestamp)

    consumerRecord

    The Kafka consumer record.

    watermark

    The calculated watermark, i.e. the maximum timestamp seen.

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##: Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
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  4. final def asInstanceOf[T0]: T0
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  5. def clone(): AnyRef
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    protected[lang]
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    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  6. val consumerRecord: ConsumerRecord[Array[Byte], Array[Byte]]
  7. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  8. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
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    @native()
  9. final def isInstanceOf[T0]: Boolean
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  10. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  12. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  13. def productElementNames: Iterator[String]
    Definition Classes
    Product
  14. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  15. def topicPartition: TopicPartition
  16. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  17. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
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    @throws(classOf[java.lang.InterruptedException])
  18. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  19. val watermark: Timestamp

Deprecated Value Members

  1. def finalize(): Unit
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    protected[lang]
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    @throws(classOf[java.lang.Throwable]) @Deprecated
    Deprecated

    (Since version 9)

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