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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.  final def asInstanceOf[T0]: T0

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5.  val bloomFileLocation: String

   Where the bloom filter files will be stored

6.  def bloomFrom(dataFrame: DataFrame, bloomOn: String, expectedSize: Int, fpp: Double, bloomId: String, partitions: Int): BloomModel

   Generates a bloom filter using the expression passed via bloomOn with optional repartitioning and a default fpp of 0.01.

   Generates a bloom filter using the expression passed via bloomOn with optional repartitioning and a default fpp of 0.01. A unique run will be created so other results can co-exist but this can be overridden by specifying bloomId. The other interim result files will be removed and the resulting BucketedFiles can be used in lookups or stored elsewhere.

   bloomOn

   a compatible expression to generate the bloom hashes against

7.  def bloomFrom(dataFrame: DataFrame, bloomOn: String, expectedSize: Int, fpp: Double, bloomId: String): BloomModel

   Generates a bloom filter using the expression passed via bloomOn with optional repartitioning and a default fpp of 0.01.

   Generates a bloom filter using the expression passed via bloomOn with optional repartitioning and a default fpp of 0.01. A unique run will be created so other results can co-exist but this can be overridden by specifying bloomId. The other interim result files will be removed and the resulting BucketedFiles can be used in lookups or stored elsewhere.

   bloomOn

   a compatible expression to generate the bloom hashes against

8.  def bloomFrom(dataFrame: DataFrame, bloomOn: String, expectedSize: Int, fpp: Double): BloomModel

   Generates a bloom filter using the expression passed via bloomOn with optional repartitioning and a default fpp of 0.01.

   Generates a bloom filter using the expression passed via bloomOn with optional repartitioning and a default fpp of 0.01. A unique run will be created so other results can co-exist but this can be overridden by specifying bloomId. The other interim result files will be removed and the resulting BucketedFiles can be used in lookups or stored elsewhere.

   bloomOn

   a compatible expression to generate the bloom hashes against

9.  def bloomFrom(dataFrame: DataFrame, bloomOn: String, expectedSize: Int): BloomModel

   Generates a bloom filter using the expression passed via bloomOn with optional repartitioning and a default fpp of 0.01.

   Generates a bloom filter using the expression passed via bloomOn with optional repartitioning and a default fpp of 0.01. A unique run will be created so other results can co-exist but this can be overridden by specifying bloomId. The other interim result files will be removed and the resulting BucketedFiles can be used in lookups or stored elsewhere.

   bloomOn

   a compatible expression to generate the bloom hashes against

10.  def bloomFrom(dataFrame: DataFrame, bloomOn: Column, expectedSize: Int, fpp: Double = 0.01, bloomId: String = ..., partitions: Int = 0): BloomModel

    Generates a bloom filter using the expression passed via bloomOn with optional repartitioning and a default fpp of 0.01.

    Generates a bloom filter using the expression passed via bloomOn with optional repartitioning and a default fpp of 0.01. A unique run will be created so other results can co-exist but this can be overridden by specifying bloomId. The other interim result files will be removed and the resulting BucketedFiles can be used in lookups or stored elsewhere.

    bloomOn

    a compatible expression to generate the bloom hashes against

11.  def clone(): AnyRef

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12.  final def eq(arg0: AnyRef): Boolean

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13.  def equals(arg0: Any): Boolean

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14.  def finalize(): Unit

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15.  final def getClass(): Class[_]

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16.  def hashCode(): Int

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17.  final def isInstanceOf[T0]: Boolean

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18.  final def ne(arg0: AnyRef): Boolean

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19.  final def notify(): Unit

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20.  final def notifyAll(): Unit

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

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22.  def toString(): String

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23.  final def wait(): Unit

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

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25.  final def wait(arg0: Long): Unit

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