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 util
    Definition Classes
    streamloader
  • object RandomExtensions
    Definition Classes
    util
  • RichRandom
  • VectorSpace

implicit final class RichRandom extends AnyVal

Linear Supertypes
AnyVal, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. RichRandom
  2. AnyVal
  3. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new RichRandom(rand: Random)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    Any
  2. final def ##: Int
    Definition Classes
    Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def getClass(): Class[_ <: AnyVal]
    Definition Classes
    AnyVal → Any
  6. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  7. def nextGaussian[T](dist: GaussianDistribution[T])(implicit arg0: VectorSpace[T]): T

    Samples a random value from a Gaussian distribution, works with any VectorSpace, e.g.

    Samples a random value from a Gaussian distribution, works with any VectorSpace, e.g. you can sample random Duration instances.

  8. val rand: Random
  9. def toString(): String
    Definition Classes
    Any

Inherited from AnyVal

Inherited from Any

Ungrouped