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object GeoMesaAccumuloInputFormat extends LazyLogging

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  1. GeoMesaAccumuloInputFormat
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Type Members

  1. class GeoMesaRecordReader extends RecordReader[Text, SimpleFeature]

    Record reader that delegates to accumulo record readers and transforms the key/values coming back into simple features.

  2. class GroupedSplit extends InputSplit with Writable

    Input split that groups a series of RangeInputSplits.

    Input split that groups a series of RangeInputSplits. Has to implement Hadoop Writable, thus the vars and mutable state.

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##: Int
    Definition Classes
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  3. final def ==(arg0: Any): Boolean
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  4. val SYS_PROP_SPARK_LOAD_CP: String
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
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    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @HotSpotIntrinsicCandidate() @native()
  7. def configure(conf: Configuration, params: Map[String, _], plan: AccumuloQueryPlan, auths: Option[Authorizations]): Unit

    Configure the input format based on a query plan

    Configure the input format based on a query plan

    conf

    configuration to update

    params

    data store parameters

    plan

    query plan

  8. def configure(conf: Configuration, params: Map[String, _], plan: AccumuloQueryPlan): Unit

    Configure the input format based on a query plan

    Configure the input format based on a query plan

    conf

    configuration to update

    params

    data store parameters

    plan

    query plan

  9. def configure(conf: Configuration, params: Map[String, _], query: Query): Unit

    Configure the input format based on a query

    Configure the input format based on a query

    conf

    configuration to update

    params

    data store parameters

    query

    query

  10. def ensureSparkClasspath(): Unit

    This takes any jars that have been loaded by spark in the context classloader and makes them available to the general classloader.

    This takes any jars that have been loaded by spark in the context classloader and makes them available to the general classloader. This is required as not all classes (even spark ones) check the context classloader.

  11. final def eq(arg0: AnyRef): Boolean
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  12. def equals(arg0: AnyRef): Boolean
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  13. final def getClass(): Class[_ <: AnyRef]
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    @HotSpotIntrinsicCandidate() @native()
  14. def hashCode(): Int
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    @HotSpotIntrinsicCandidate() @native()
  15. final def isInstanceOf[T0]: Boolean
    Definition Classes
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  16. lazy val logger: Logger
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    protected
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    @transient()
  17. final def ne(arg0: AnyRef): Boolean
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  18. final def notify(): Unit
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    @HotSpotIntrinsicCandidate() @native()
  19. final def notifyAll(): Unit
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    @HotSpotIntrinsicCandidate() @native()
  20. final def synchronized[T0](arg0: => T0): T0
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  21. def toString(): String
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  22. final def wait(arg0: Long, arg1: Int): Unit
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    @throws(classOf[java.lang.InterruptedException])
  23. final def wait(arg0: Long): Unit
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    @throws(classOf[java.lang.InterruptedException]) @native()
  24. final def wait(): Unit
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    @throws(classOf[java.lang.InterruptedException])

Deprecated Value Members

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

    (Since version 9)

Inherited from LazyLogging

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