GeoMesaInputFormat

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1. final def !=(arg0: Any): Boolean

   

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2. final def ##(): Int

   

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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

   

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6. def clone(): AnyRef

   

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7. def configure(job: Job, dsParams: Map[String, String], query: Query): Unit

   

   EXPERIMENTAL@experimental Configure the input format.

   EXPERIMENTAL@experimental Configure the input format.

   This is a single method, as we have to calculate several things to pass to the underlying AccumuloInputFormat, and there is not a good hook to indicate when the config is finished.

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   @experimental()

8. def configure(job: Job, dsParams: Map[String, String], featureTypeName: String, filter: Option[String] = None, transform: Option[Array[String]] = None): Unit

   

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   @experimental()

9. def ensureSparkClasspath(): Unit

   

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

   EXPERIMENTAL@experimental 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.

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   @experimental()

10. final def eq(arg0: AnyRef): Boolean

    

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11. def equals(arg0: Any): Boolean

    

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12. def finalize(): Unit

    

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13. final def getClass(): Class[_]

    

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14. def hashCode(): Int

    

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15. final def isInstanceOf[T0]: Boolean

    

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16. lazy val logger: Logger

    

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17. final def ne(arg0: AnyRef): Boolean

    

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18. final def notify(): Unit

    

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19. final def notifyAll(): Unit

    

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20. final def synchronized[T0](arg0: ⇒ T0): T0

    

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21. def toString(): String

    

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22. final def wait(): Unit

    

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23. final def wait(arg0: Long, arg1: Int): Unit

    

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24. final def wait(arg0: Long): Unit

    

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