Class/Object

org.zouzias.spark.lucenerdd

LuceneRDD

Related Docs: object LuceneRDD | package lucenerdd

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class LuceneRDD[T] extends RDD[T] with SparkScoreDocAggregatable

Spark RDD with Lucene's query capabilities (term, prefix, fuzzy, phrase query)

Linear Supertypes
SparkScoreDocAggregatable, LuceneRDDConfigurable, Configurable, RDD[T], Logging, Serializable, Serializable, AnyRef, Any
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Inherited
  1. LuceneRDD
  2. SparkScoreDocAggregatable
  3. LuceneRDDConfigurable
  4. Configurable
  5. RDD
  6. Logging
  7. Serializable
  8. Serializable
  9. AnyRef
  10. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new LuceneRDD(partitionsRDD: RDD[AbstractLuceneRDDPartition[T]])(implicit arg0: ClassTag[T])

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Value Members

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

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. def ++(other: RDD[T]): RDD[T]

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    Definition Classes
    RDD
  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  5. val DefaultFacetNum: Int

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    Attributes
    protected
    Definition Classes
    LuceneRDDConfigurable
  6. val DefaultTopK: Int

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    Default value for topK queries

    Default value for topK queries

    Attributes
    protected
    Definition Classes
    LuceneRDDConfigurable
  7. val MaxDefaultTopKValue: Int

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    Attributes
    protected
    Definition Classes
    LuceneRDDConfigurable
  8. val SparkDocTopKMonoid: TopKMonoid[SparkScoreDoc]

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    Attributes
    protected
    Definition Classes
    SparkScoreDocAggregatable
  9. def aggregate[U](zeroValue: U)(seqOp: (U, T) ⇒ U, combOp: (U, U) ⇒ U)(implicit arg0: ClassTag[U]): U

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    Definition Classes
    RDD
  10. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  11. def cache(): LuceneRDD.this.type

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    Definition Classes
    RDD
  12. def cartesian[U](other: RDD[U])(implicit arg0: ClassTag[U]): RDD[(T, U)]

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    Definition Classes
    RDD
  13. def checkpoint(): Unit

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    Definition Classes
    RDD
  14. def clearDependencies(): Unit

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    Attributes
    protected
    Definition Classes
    RDD
  15. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  16. def close(): Unit

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  17. def coalesce(numPartitions: Int, shuffle: Boolean)(implicit ord: Ordering[T]): RDD[T]

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    Definition Classes
    RDD
  18. def collect[U](f: PartialFunction[T, U])(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD
  19. def collect(): Array[T]

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    Definition Classes
    RDD
  20. def compute(part: Partition, context: TaskContext): Iterator[T]

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    RDD compute method.

    RDD compute method.

    Definition Classes
    LuceneRDD → RDD
  21. val config: Config

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    Definition Classes
    Configurable
  22. def context: SparkContext

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    Definition Classes
    RDD
  23. def count(): Long

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    Definition Classes
    LuceneRDD → RDD
  24. def countApprox(timeout: Long, confidence: Double): PartialResult[BoundedDouble]

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    Definition Classes
    RDD
  25. def countApproxDistinct(relativeSD: Double): Long

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    Definition Classes
    RDD
  26. def countApproxDistinct(p: Int, sp: Int): Long

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    Definition Classes
    RDD
  27. def countByValue()(implicit ord: Ordering[T]): Map[T, Long]

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    Definition Classes
    RDD
  28. def countByValueApprox(timeout: Long, confidence: Double)(implicit ord: Ordering[T]): PartialResult[Map[T, BoundedDouble]]

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    Definition Classes
    RDD
  29. final def dependencies: Seq[Dependency[_]]

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    Definition Classes
    RDD
  30. def distinct(): RDD[T]

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    Definition Classes
    RDD
  31. def distinct(numPartitions: Int)(implicit ord: Ordering[T]): RDD[T]

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    Definition Classes
    RDD
  32. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  33. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  34. def exists(elem: T): Boolean

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  35. def exists(doc: Map[String, String]): Boolean

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    Lucene generic query

  36. def facetQueries(searchString: String, facetFields: Seq[String], topK: Int = DefaultTopK, facetNum: Int = DefaultFacetNum): (Iterable[SparkScoreDoc], Map[String, SparkFacetResult])

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    Faceted query with multiple facets

  37. def facetQuery(searchString: String, facetField: String, topK: Int = DefaultTopK, facetNum: Int = DefaultFacetNum): (Iterable[SparkScoreDoc], SparkFacetResult)

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    Faceted query

  38. def fields(): Set[String]

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    Return all document fields

  39. def filter(pred: (T) ⇒ Boolean): LuceneRDD[T]

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    Definition Classes
    LuceneRDD → RDD
  40. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  41. def first(): T

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    Definition Classes
    RDD
  42. def firstParent[U](implicit arg0: ClassTag[U]): RDD[U]

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    Attributes
    protected[org.apache.spark]
    Definition Classes
    RDD
  43. def flatMap[U](f: (T) ⇒ TraversableOnce[U])(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD
  44. def fold(zeroValue: T)(op: (T, T) ⇒ T): T

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    Definition Classes
    RDD
  45. def foreach(f: (T) ⇒ Unit): Unit

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    Definition Classes
    RDD
  46. def foreachPartition(f: (Iterator[T]) ⇒ Unit): Unit

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    Definition Classes
    RDD
  47. def fuzzyQuery(fieldName: String, query: String, maxEdits: Int, topK: Int = DefaultTopK): Iterable[SparkScoreDoc]

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    Lucene fuzzy query

    Lucene fuzzy query

    fieldName

    Name of field

    query

    Query text

    maxEdits

    Fuzziness, edit distance

    topK

    Number of documents to return

  48. def getCheckpointFile: Option[String]

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    Definition Classes
    RDD
  49. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  50. def getDependencies: Seq[Dependency[_]]

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    Attributes
    protected
    Definition Classes
    RDD
  51. final def getNumPartitions: Int

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    Definition Classes
    RDD
    Annotations
    @Since( "1.6.0" )
  52. def getPartitions: Array[Partition]

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    Attributes
    protected
    Definition Classes
    LuceneRDD → RDD
  53. def getPreferredLocations(s: Partition): Seq[String]

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    Attributes
    protected
    Definition Classes
    LuceneRDD → RDD
  54. def getStorageLevel: StorageLevel

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    Definition Classes
    RDD
  55. def glom(): RDD[Array[T]]

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    Definition Classes
    RDD
  56. def groupBy[K](f: (T) ⇒ K, p: Partitioner)(implicit kt: ClassTag[K], ord: Ordering[K]): RDD[(K, Iterable[T])]

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    Definition Classes
    RDD
  57. def groupBy[K](f: (T) ⇒ K, numPartitions: Int)(implicit kt: ClassTag[K]): RDD[(K, Iterable[T])]

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    Definition Classes
    RDD
  58. def groupBy[K](f: (T) ⇒ K)(implicit kt: ClassTag[K]): RDD[(K, Iterable[T])]

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    Definition Classes
    RDD
  59. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  60. val id: Int

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    Definition Classes
    RDD
  61. def intersection(other: RDD[T], numPartitions: Int): RDD[T]

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    Definition Classes
    RDD
  62. def intersection(other: RDD[T], partitioner: Partitioner)(implicit ord: Ordering[T]): RDD[T]

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    Definition Classes
    RDD
  63. def intersection(other: RDD[T]): RDD[T]

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    Definition Classes
    RDD
  64. def isCheckpointed: Boolean

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    Definition Classes
    RDD
  65. def isEmpty(): Boolean

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    Definition Classes
    RDD
  66. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  67. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  68. final def iterator(split: Partition, context: TaskContext): Iterator[T]

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    Definition Classes
    RDD
  69. def keyBy[K](f: (T) ⇒ K): RDD[(K, T)]

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    Definition Classes
    RDD
  70. def link[T1](other: RDD[T1], searchQueryGen: (T1) ⇒ String, topK: Int = DefaultTopK)(implicit arg0: ClassTag[T1]): RDD[(T1, List[SparkScoreDoc])]

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    Entity linkage via Lucene query over all elements of an RDD.

    Entity linkage via Lucene query over all elements of an RDD.

    T1

    A type

    other

    RDD to be linked

    searchQueryGen

    Function that generates a search query for each element of other

    returns

    an RDD of Tuple2 that contains the linked search Lucene documents in the second Note: Currently the query strings of the other RDD are collected to the driver and broadcast to the workers.

  71. def linkByQuery[T1](other: RDD[T1], searchQueryGen: (T1) ⇒ Query, topK: Int = DefaultTopK)(implicit arg0: ClassTag[T1]): RDD[(T1, List[SparkScoreDoc])]

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    Entity linkage via Lucene query over all elements of an RDD.

    Entity linkage via Lucene query over all elements of an RDD.

    T1

    A type

    other

    RDD to be linked

    searchQueryGen

    Function that generates a Lucene Query object for each element of other

    returns

    an RDD of Tuple2 that contains the linked search Lucene Document in the second position

  72. def linkDataFrame(other: DataFrame, searchQueryGen: (Row) ⇒ String, topK: Int = DefaultTopK): RDD[(Row, List[SparkScoreDoc])]

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    Entity linkage via Lucene query over all elements of an RDD.

    Entity linkage via Lucene query over all elements of an RDD.

    other

    DataFrame to be linked

    searchQueryGen

    Function that generates a search query for each element of other

    returns

    an RDD of Tuple2 that contains the linked search Lucene documents in the second

  73. def localCheckpoint(): LuceneRDD.this.type

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    Definition Classes
    RDD
  74. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  75. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  76. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  77. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  78. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  79. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  80. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  81. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging
  82. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  83. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  84. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  85. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  86. def map[U](f: (T) ⇒ U)(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD
  87. def mapPartitions[U](f: (Iterator[T]) ⇒ Iterator[U], preservesPartitioning: Boolean)(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD
  88. def mapPartitionsWithIndex[U](f: (Int, Iterator[T]) ⇒ Iterator[U], preservesPartitioning: Boolean)(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD
  89. def max()(implicit ord: Ordering[T]): T

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    Definition Classes
    RDD
  90. def min()(implicit ord: Ordering[T]): T

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    Definition Classes
    RDD
  91. var name: String

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    Definition Classes
    RDD
  92. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  93. final def notify(): Unit

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    Definition Classes
    AnyRef
  94. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  95. def parent[U](j: Int)(implicit arg0: ClassTag[U]): RDD[U]

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    Attributes
    protected[org.apache.spark]
    Definition Classes
    RDD
  96. val partitioner: Option[Partitioner]

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    Definition Classes
    RDD
  97. final def partitions: Array[Partition]

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    Definition Classes
    RDD
  98. val partitionsRDD: RDD[AbstractLuceneRDDPartition[T]]

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    Attributes
    protected
  99. def persist(newLevel: StorageLevel): LuceneRDD.this.type

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    Definition Classes
    LuceneRDD → RDD
  100. def persist(): LuceneRDD.this.type

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    Definition Classes
    RDD
  101. def phraseQuery(fieldName: String, query: String, topK: Int = DefaultTopK): Iterable[SparkScoreDoc]

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    Lucene phrase Query

    Lucene phrase Query

    fieldName

    Name of field

    query

    Query text

    topK

    Number of documents to return

  102. def pipe(command: Seq[String], env: Map[String, String], printPipeContext: ((String) ⇒ Unit) ⇒ Unit, printRDDElement: (T, (String) ⇒ Unit) ⇒ Unit, separateWorkingDir: Boolean): RDD[String]

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    Definition Classes
    RDD
  103. def pipe(command: String, env: Map[String, String]): RDD[String]

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    Definition Classes
    RDD
  104. def pipe(command: String): RDD[String]

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    Definition Classes
    RDD
  105. final def preferredLocations(split: Partition): Seq[String]

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    Definition Classes
    RDD
  106. def prefixQuery(fieldName: String, query: String, topK: Int = DefaultTopK): Iterable[SparkScoreDoc]

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    Lucene prefix query

    Lucene prefix query

    fieldName

    Name of field

    query

    Prefix query text

    topK

    Number of documents to return

  107. def query(searchString: String, topK: Int = DefaultTopK): Iterable[SparkScoreDoc]

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    Generic query using Lucene's query parser

    Generic query using Lucene's query parser

    searchString

    Query String

  108. def randomSplit(weights: Array[Double], seed: Long): Array[RDD[T]]

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    Definition Classes
    RDD
  109. def reduce(f: (T, T) ⇒ T): T

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    Definition Classes
    RDD
  110. def repartition(numPartitions: Int)(implicit ord: Ordering[T]): RDD[T]

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    Definition Classes
    RDD
  111. def sample(withReplacement: Boolean, fraction: Double, seed: Long): RDD[T]

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    Definition Classes
    RDD
  112. def saveAsObjectFile(path: String): Unit

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    Definition Classes
    RDD
  113. def saveAsTextFile(path: String, codec: Class[_ <: CompressionCodec]): Unit

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    Definition Classes
    RDD
  114. def saveAsTextFile(path: String): Unit

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    Definition Classes
    RDD
  115. def setName(_name: String): LuceneRDD.this.type

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    Set the name for the RDD; By default set to "LuceneRDD"

    Set the name for the RDD; By default set to "LuceneRDD"

    Definition Classes
    LuceneRDD → RDD
  116. def sortBy[K](f: (T) ⇒ K, ascending: Boolean, numPartitions: Int)(implicit ord: Ordering[K], ctag: ClassTag[K]): RDD[T]

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    Definition Classes
    RDD
  117. def sparkContext: SparkContext

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    Definition Classes
    RDD
  118. def subtract(other: RDD[T], p: Partitioner)(implicit ord: Ordering[T]): RDD[T]

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    Definition Classes
    RDD
  119. def subtract(other: RDD[T], numPartitions: Int): RDD[T]

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    Definition Classes
    RDD
  120. def subtract(other: RDD[T]): RDD[T]

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    Definition Classes
    RDD
  121. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  122. def take(num: Int): Array[T]

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    Definition Classes
    RDD
  123. def takeOrdered(num: Int)(implicit ord: Ordering[T]): Array[T]

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    Definition Classes
    RDD
  124. def takeSample(withReplacement: Boolean, num: Int, seed: Long): Array[T]

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    Definition Classes
    RDD
  125. def termQuery(fieldName: String, query: String, topK: Int = DefaultTopK): Iterable[SparkScoreDoc]

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    Lucene term query

    Lucene term query

    fieldName

    Name of field

    query

    Term to search on

    topK

    Number of documents to return

  126. def toDebugString: String

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    Definition Classes
    RDD
  127. def toJavaRDD(): JavaRDD[T]

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    Definition Classes
    RDD
  128. def toLocalIterator: Iterator[T]

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    Definition Classes
    RDD
  129. def toString(): String

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    Definition Classes
    RDD → AnyRef → Any
  130. def top(num: Int)(implicit ord: Ordering[T]): Array[T]

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    Definition Classes
    RDD
  131. def treeAggregate[U](zeroValue: U)(seqOp: (U, T) ⇒ U, combOp: (U, U) ⇒ U, depth: Int)(implicit arg0: ClassTag[U]): U

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    Definition Classes
    RDD
  132. def treeReduce(f: (T, T) ⇒ T, depth: Int): T

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    Definition Classes
    RDD
  133. def union(other: RDD[T]): RDD[T]

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    Definition Classes
    RDD
  134. def unpersist(blocking: Boolean = true): LuceneRDD.this.type

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    Definition Classes
    LuceneRDD → RDD
  135. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  136. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  137. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  138. def zip[U](other: RDD[U])(implicit arg0: ClassTag[U]): RDD[(T, U)]

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    Definition Classes
    RDD
  139. def zipPartitions[B, C, D, V](rdd2: RDD[B], rdd3: RDD[C], rdd4: RDD[D])(f: (Iterator[T], Iterator[B], Iterator[C], Iterator[D]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[C], arg2: ClassTag[D], arg3: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD
  140. def zipPartitions[B, C, D, V](rdd2: RDD[B], rdd3: RDD[C], rdd4: RDD[D], preservesPartitioning: Boolean)(f: (Iterator[T], Iterator[B], Iterator[C], Iterator[D]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[C], arg2: ClassTag[D], arg3: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD
  141. def zipPartitions[B, C, V](rdd2: RDD[B], rdd3: RDD[C])(f: (Iterator[T], Iterator[B], Iterator[C]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[C], arg2: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD
  142. def zipPartitions[B, C, V](rdd2: RDD[B], rdd3: RDD[C], preservesPartitioning: Boolean)(f: (Iterator[T], Iterator[B], Iterator[C]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[C], arg2: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD
  143. def zipPartitions[B, V](rdd2: RDD[B])(f: (Iterator[T], Iterator[B]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD
  144. def zipPartitions[B, V](rdd2: RDD[B], preservesPartitioning: Boolean)(f: (Iterator[T], Iterator[B]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD
  145. def zipWithIndex(): RDD[(T, Long)]

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    Definition Classes
    RDD
  146. def zipWithUniqueId(): RDD[(T, Long)]

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    Definition Classes
    RDD

Deprecated Value Members

  1. def filterWith[A](constructA: (Int) ⇒ A)(p: (T, A) ⇒ Boolean): RDD[T]

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    Definition Classes
    RDD
    Annotations
    @deprecated
    Deprecated

    (Since version 1.0.0) use mapPartitionsWithIndex and filter

  2. def flatMapWith[A, U](constructA: (Int) ⇒ A, preservesPartitioning: Boolean)(f: (T, A) ⇒ Seq[U])(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD
    Annotations
    @deprecated
    Deprecated

    (Since version 1.0.0) use mapPartitionsWithIndex and flatMap

  3. def foreachWith[A](constructA: (Int) ⇒ A)(f: (T, A) ⇒ Unit): Unit

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    Definition Classes
    RDD
    Annotations
    @deprecated
    Deprecated

    (Since version 1.0.0) use mapPartitionsWithIndex and foreach

  4. def mapPartitionsWithContext[U](f: (TaskContext, Iterator[T]) ⇒ Iterator[U], preservesPartitioning: Boolean)(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD
    Annotations
    @DeveloperApi() @deprecated
    Deprecated

    (Since version 1.2.0) use TaskContext.get

  5. def mapPartitionsWithSplit[U](f: (Int, Iterator[T]) ⇒ Iterator[U], preservesPartitioning: Boolean)(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD
    Annotations
    @deprecated
    Deprecated

    (Since version 0.7.0) use mapPartitionsWithIndex

  6. def mapWith[A, U](constructA: (Int) ⇒ A, preservesPartitioning: Boolean)(f: (T, A) ⇒ U)(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD
    Annotations
    @deprecated
    Deprecated

    (Since version 1.0.0) use mapPartitionsWithIndex

  7. def toArray(): Array[T]

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    Definition Classes
    RDD
    Annotations
    @deprecated
    Deprecated

    (Since version 1.0.0) use collect

Inherited from SparkScoreDocAggregatable

Inherited from LuceneRDDConfigurable

Inherited from Configurable

Inherited from RDD[T]

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped