hammerlab / spark-util   3.1.0

Apache License 2.0 GitHub

low-level helpers for Apache Spark libraries and tests

Scala versions: 2.12 2.11 2.10


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Spark, Hadoop, and Kryo utilities

Kryo registration

Classes that implement the Registrar interface can use various shorthands for registering classes with Kryo.

Adapted from RegistrationTest:

  cls[A],                  // comes with an AlsoRegister that loops in other classes
  arr[Foo],                // register a class and an Array of that class
  cls[B]  BSerializer(),  // use a custom Serializer
  CDRegistrar              // register all of another Registrar's registrations
  • custom Serializers and AlsoRegisters are picked up implicitly if not provided explicitly.
  • AlsoRegisters are recursive, allowing for much easier and more robust accountability about what is registered and why, and ensurance that needed registrations aren't overlooked.

Configuration/Context wrappers

  • Configuration: serializable Hadoop-Configuration wrapper
  • Context: SparkContext wrapper that is also a Hadoop Configuration, for unification of "global configuration access" patterns
  • Conf: load a SparkConf with settings from file(s) specified in the SPARK_PROPERTIES_FILES environment variable

Spark Configuration