org.apache.spark.sql

SampleDataFrame

final class SampleDataFrame extends DataFrame with Serializable

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DataFrame, Serializable, Serializable, Queryable, AnyRef, Any
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  1. SampleDataFrame
  2. DataFrame
  3. Serializable
  4. Serializable
  5. Queryable
  6. AnyRef
  7. Any
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  1. Public
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Instance Constructors

  1. new SampleDataFrame(sqlContext: SnappyContext, logicalPlan: LogicalPlan)

Value Members

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

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. final def ##(): Int

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

    Definition Classes
    AnyRef
  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  6. def agg(expr: Column, exprs: Column*): DataFrame

    Definition Classes
    DataFrame
    Annotations
    @varargs()
  7. def agg(exprs: Map[String, String]): DataFrame

    Definition Classes
    DataFrame
  8. def agg(exprs: Map[String, String]): DataFrame

    Definition Classes
    DataFrame
  9. def agg(aggExpr: (String, String), aggExprs: (String, String)*): DataFrame

    Definition Classes
    DataFrame
  10. def alias(alias: Symbol): DataFrame

    Definition Classes
    DataFrame
  11. def alias(alias: String): DataFrame

    Definition Classes
    DataFrame
  12. def apply(colName: String): Column

    Definition Classes
    DataFrame
  13. def as(alias: Symbol): DataFrame

    Definition Classes
    DataFrame
  14. def as(alias: String): DataFrame

    Definition Classes
    DataFrame
  15. def as[U](implicit arg0: Encoder[U]): Dataset[U]

    Definition Classes
    DataFrame
    Annotations
    @Experimental()
  16. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  17. def cache(): SampleDataFrame.this.type

    Definition Classes
    DataFrame
  18. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  19. def coalesce(numPartitions: Int): DataFrame

    Definition Classes
    DataFrame
  20. def col(colName: String): Column

    Definition Classes
    DataFrame
  21. def collect(): Array[Row]

    Definition Classes
    DataFrame
  22. def collectAsList(): List[Row]

    Definition Classes
    DataFrame
  23. def collectToPython(): Int

    Attributes
    protected[org.apache.spark.sql]
    Definition Classes
    DataFrame
  24. def columns: Array[String]

    Definition Classes
    DataFrame
  25. def count(): Long

    Definition Classes
    DataFrame
  26. def cube(col1: String, cols: String*): GroupedData

    Definition Classes
    DataFrame
    Annotations
    @varargs()
  27. def cube(cols: Column*): GroupedData

    Definition Classes
    DataFrame
    Annotations
    @varargs()
  28. def describe(cols: String*): DataFrame

    Definition Classes
    DataFrame
    Annotations
    @varargs()
  29. def distinct(): DataFrame

    Definition Classes
    DataFrame
  30. def drop(col: Column): DataFrame

    Definition Classes
    DataFrame
  31. def drop(colName: String): DataFrame

    Definition Classes
    DataFrame
  32. def dropDuplicates(colNames: Array[String]): DataFrame

    Definition Classes
    DataFrame
  33. def dropDuplicates(colNames: Seq[String]): DataFrame

    Definition Classes
    DataFrame
  34. def dropDuplicates(): DataFrame

    Definition Classes
    DataFrame
  35. def dtypes: Array[(String, String)]

    Definition Classes
    DataFrame
  36. final def eq(arg0: AnyRef): Boolean

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

    Definition Classes
    AnyRef → Any
  38. def errorEstimateAverage(columnName: String, confidence: Double, groupByColumns: Set[String] = Set.empty): Map[Row, (Double, Double, Double, Double)]

  39. def errorStats(columnName: String, groupBy: Set[String] = Set.empty): MultiColumnOpenHashMap[StatCounter]

  40. def except(other: DataFrame): DataFrame

    Definition Classes
    DataFrame
  41. def explain(): Unit

    Definition Classes
    DataFrame → Queryable
  42. def explain(extended: Boolean): Unit

    Definition Classes
    DataFrame → Queryable
  43. def explode[A, B](inputColumn: String, outputColumn: String)(f: (A) ⇒ TraversableOnce[B])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[B]): DataFrame

    Definition Classes
    DataFrame
  44. def explode[A <: Product](input: Column*)(f: (Row) ⇒ TraversableOnce[A])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[A]): DataFrame

    Definition Classes
    DataFrame
  45. def filter(conditionExpr: String): DataFrame

    Definition Classes
    DataFrame
  46. def filter(condition: Column): DataFrame

    Definition Classes
    DataFrame
  47. def finalize(): Unit

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

    Definition Classes
    DataFrame
  49. def flatMap[R](f: (Row) ⇒ TraversableOnce[R])(implicit arg0: ClassTag[R]): RDD[R]

    Definition Classes
    DataFrame
  50. def foreach(f: (Row) ⇒ Unit): Unit

    Definition Classes
    DataFrame
  51. def foreachPartition(f: (Iterator[Row]) ⇒ Unit): Unit

    Definition Classes
    DataFrame
  52. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  53. def groupBy(col1: String, cols: String*): GroupedData

    Definition Classes
    DataFrame
    Annotations
    @varargs()
  54. def groupBy(cols: Column*): GroupedData

    Definition Classes
    DataFrame
    Annotations
    @varargs()
  55. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  56. def head(): Row

    Definition Classes
    DataFrame
  57. def head(n: Int): Array[Row]

    Definition Classes
    DataFrame
  58. var implementor: SampleDataFrameContract

  59. def inputFiles: Array[String]

    Definition Classes
    DataFrame
  60. def intersect(other: DataFrame): DataFrame

    Definition Classes
    DataFrame
  61. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  62. def isLocal: Boolean

    Definition Classes
    DataFrame
  63. def javaRDD: JavaRDD[Row]

    Definition Classes
    DataFrame
  64. def javaToPython: JavaRDD[Array[Byte]]

    Attributes
    protected[org.apache.spark.sql]
    Definition Classes
    DataFrame
  65. def join(right: DataFrame, joinExprs: Column, joinType: String): DataFrame

    Definition Classes
    DataFrame
  66. def join(right: DataFrame, joinExprs: Column): DataFrame

    Definition Classes
    DataFrame
  67. def join(right: DataFrame, usingColumns: Seq[String], joinType: String): DataFrame

    Definition Classes
    DataFrame
  68. def join(right: DataFrame, usingColumns: Seq[String]): DataFrame

    Definition Classes
    DataFrame
  69. def join(right: DataFrame, usingColumn: String): DataFrame

    Definition Classes
    DataFrame
  70. def join(right: DataFrame): DataFrame

    Definition Classes
    DataFrame
  71. def limit(n: Int): DataFrame

    Definition Classes
    DataFrame
  72. val logicalPlan: LogicalPlan

    Definition Classes
    SampleDataFrame → DataFrame
  73. def map[R](f: (Row) ⇒ R)(implicit arg0: ClassTag[R]): RDD[R]

    Definition Classes
    DataFrame
  74. def mapPartitions[R](f: (Iterator[Row]) ⇒ Iterator[R])(implicit arg0: ClassTag[R]): RDD[R]

    Definition Classes
    DataFrame
  75. def na: DataFrameNaFunctions

    Definition Classes
    DataFrame
  76. final def ne(arg0: AnyRef): Boolean

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

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

    Definition Classes
    AnyRef
  79. def numericColumns: Seq[Expression]

    Attributes
    protected[org.apache.spark.sql]
    Definition Classes
    DataFrame
  80. def orderBy(sortExprs: Column*): DataFrame

    Definition Classes
    DataFrame
    Annotations
    @varargs()
  81. def orderBy(sortCol: String, sortCols: String*): DataFrame

    Definition Classes
    DataFrame
    Annotations
    @varargs()
  82. def persist(newLevel: StorageLevel): SampleDataFrame.this.type

    Definition Classes
    DataFrame
  83. def persist(): SampleDataFrame.this.type

    Definition Classes
    DataFrame
  84. def printSchema(): Unit

    Definition Classes
    DataFrame → Queryable
  85. val queryExecution: QueryExecution

    Definition Classes
    DataFrame → Queryable
  86. def randomSplit(weights: Array[Double]): Array[DataFrame]

    Definition Classes
    DataFrame
  87. def randomSplit(weights: Array[Double], seed: Long): Array[DataFrame]

    Definition Classes
    DataFrame
  88. lazy val rdd: RDD[Row]

    Definition Classes
    DataFrame
  89. def registerSampleTable(tableName: String, baseTable: Option[String]): Unit

  90. def registerTempTable(tableName: String): Unit

    Definition Classes
    DataFrame
  91. def repartition(partitionExprs: Column*): DataFrame

    Definition Classes
    DataFrame
    Annotations
    @varargs()
  92. def repartition(numPartitions: Int, partitionExprs: Column*): DataFrame

    Definition Classes
    DataFrame
    Annotations
    @varargs()
  93. def repartition(numPartitions: Int): DataFrame

    Definition Classes
    DataFrame
  94. def resolve(colName: String): NamedExpression

    Attributes
    protected[org.apache.spark.sql]
    Definition Classes
    DataFrame
  95. def rollup(col1: String, cols: String*): GroupedData

    Definition Classes
    DataFrame
    Annotations
    @varargs()
  96. def rollup(cols: Column*): GroupedData

    Definition Classes
    DataFrame
    Annotations
    @varargs()
  97. def sample(withReplacement: Boolean, fraction: Double): DataFrame

    Definition Classes
    DataFrame
  98. def sample(withReplacement: Boolean, fraction: Double, seed: Long): DataFrame

    Definition Classes
    DataFrame
  99. def schema: StructType

    Definition Classes
    DataFrame → Queryable
  100. def select(col: String, cols: String*): DataFrame

    Definition Classes
    DataFrame
    Annotations
    @varargs()
  101. def select(cols: Column*): DataFrame

    Definition Classes
    DataFrame
    Annotations
    @varargs()
  102. def selectExpr(exprs: String*): DataFrame

    Definition Classes
    DataFrame
    Annotations
    @varargs()
  103. def show(numRows: Int, truncate: Boolean): Unit

    Definition Classes
    DataFrame
  104. def show(truncate: Boolean): Unit

    Definition Classes
    DataFrame
  105. def show(): Unit

    Definition Classes
    DataFrame
  106. def show(numRows: Int): Unit

    Definition Classes
    DataFrame
  107. def sort(sortExprs: Column*): DataFrame

    Definition Classes
    DataFrame
    Annotations
    @varargs()
  108. def sort(sortCol: String, sortCols: String*): DataFrame

    Definition Classes
    DataFrame
    Annotations
    @varargs()
  109. def sortWithinPartitions(sortExprs: Column*): DataFrame

    Definition Classes
    DataFrame
    Annotations
    @varargs()
  110. def sortWithinPartitions(sortCol: String, sortCols: String*): DataFrame

    Definition Classes
    DataFrame
    Annotations
    @varargs()
  111. val sqlContext: SnappyContext

    Definition Classes
    SampleDataFrame → DataFrame → Queryable
  112. def stat: DataFrameStatFunctions

    Definition Classes
    DataFrame
  113. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  114. def take(n: Int): Array[Row]

    Definition Classes
    DataFrame
  115. def takeAsList(n: Int): List[Row]

    Definition Classes
    DataFrame
  116. def toDF(colNames: String*): DataFrame

    Definition Classes
    DataFrame
    Annotations
    @varargs()
  117. def toDF(): DataFrame

    Definition Classes
    DataFrame
  118. def toJSON: RDD[String]

    Definition Classes
    DataFrame
  119. def toJavaRDD: JavaRDD[Row]

    Definition Classes
    DataFrame
  120. def toString(): String

    Definition Classes
    Queryable → AnyRef → Any
  121. def transform[U](t: (DataFrame) ⇒ DataFrame): DataFrame

    Definition Classes
    DataFrame
  122. def unionAll(other: DataFrame): DataFrame

    Definition Classes
    DataFrame
  123. def unpersist(): SampleDataFrame.this.type

    Definition Classes
    DataFrame
  124. def unpersist(blocking: Boolean): SampleDataFrame.this.type

    Definition Classes
    DataFrame
  125. final def wait(): Unit

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

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  128. def where(conditionExpr: String): DataFrame

    Definition Classes
    DataFrame
  129. def where(condition: Column): DataFrame

    Definition Classes
    DataFrame
  130. def withColumn(colName: String, col: Column): DataFrame

    Definition Classes
    DataFrame
  131. def withColumnRenamed(existingName: String, newName: String): DataFrame

    Definition Classes
    DataFrame
  132. def write: DataFrameWriter

    Definition Classes
    DataFrame
    Annotations
    @Experimental()

Deprecated Value Members

  1. def createJDBCTable(url: String, table: String, allowExisting: Boolean): Unit

    Definition Classes
    DataFrame
    Annotations
    @deprecated
    Deprecated

    (Since version 1.4.0) Use write.jdbc(). This will be removed in Spark 2.0.

  2. def insertInto(tableName: String): Unit

    Definition Classes
    DataFrame
    Annotations
    @deprecated
    Deprecated

    (Since version 1.4.0) Use write.mode(SaveMode.Append).saveAsTable(tableName). This will be removed in Spark 2.0.

  3. def insertInto(tableName: String, overwrite: Boolean): Unit

    Definition Classes
    DataFrame
    Annotations
    @deprecated
    Deprecated

    (Since version 1.4.0) Use write.mode(SaveMode.Append|SaveMode.Overwrite).saveAsTable(tableName). This will be removed in Spark 2.0.

  4. def insertIntoJDBC(url: String, table: String, overwrite: Boolean): Unit

    Definition Classes
    DataFrame
    Annotations
    @deprecated
    Deprecated

    (Since version 1.4.0) Use write.jdbc(). This will be removed in Spark 2.0.

  5. def save(source: String, mode: SaveMode, options: Map[String, String]): Unit

    Definition Classes
    DataFrame
    Annotations
    @deprecated
    Deprecated

    (Since version 1.4.0) Use write.format(source).mode(mode).options(options).save(). This will be removed in Spark 2.0.

  6. def save(source: String, mode: SaveMode, options: Map[String, String]): Unit

    Definition Classes
    DataFrame
    Annotations
    @deprecated
    Deprecated

    (Since version 1.4.0) Use write.format(source).mode(mode).options(options).save(). This will be removed in Spark 2.0.

  7. def save(path: String, source: String, mode: SaveMode): Unit

    Definition Classes
    DataFrame
    Annotations
    @deprecated
    Deprecated

    (Since version 1.4.0) Use write.format(source).mode(mode).save(path). This will be removed in Spark 2.0.

  8. def save(path: String, source: String): Unit

    Definition Classes
    DataFrame
    Annotations
    @deprecated
    Deprecated

    (Since version 1.4.0) Use write.format(source).save(path). This will be removed in Spark 2.0.

  9. def save(path: String, mode: SaveMode): Unit

    Definition Classes
    DataFrame
    Annotations
    @deprecated
    Deprecated

    (Since version 1.4.0) Use write.mode(mode).save(path). This will be removed in Spark 2.0.

  10. def save(path: String): Unit

    Definition Classes
    DataFrame
    Annotations
    @deprecated
    Deprecated

    (Since version 1.4.0) Use write.save(path). This will be removed in Spark 2.0.

  11. def saveAsParquetFile(path: String): Unit

    Definition Classes
    DataFrame
    Annotations
    @deprecated
    Deprecated

    (Since version 1.4.0) Use write.parquet(path). This will be removed in Spark 2.0.

  12. def saveAsTable(tableName: String, source: String, mode: SaveMode, options: Map[String, String]): Unit

    Definition Classes
    DataFrame
    Annotations
    @deprecated
    Deprecated

    (Since version 1.4.0) Use write.format(source).mode(mode).options(options).saveAsTable(tableName). This will be removed in Spark 2.0.

  13. def saveAsTable(tableName: String, source: String, mode: SaveMode, options: Map[String, String]): Unit

    Definition Classes
    DataFrame
    Annotations
    @deprecated
    Deprecated

    (Since version 1.4.0) Use write.format(source).mode(mode).options(options).saveAsTable(tableName). This will be removed in Spark 2.0.

  14. def saveAsTable(tableName: String, source: String, mode: SaveMode): Unit

    Definition Classes
    DataFrame
    Annotations
    @deprecated
    Deprecated

    (Since version 1.4.0) Use write.format(source).mode(mode).saveAsTable(tableName). This will be removed in Spark 2.0.

  15. def saveAsTable(tableName: String, source: String): Unit

    Definition Classes
    DataFrame
    Annotations
    @deprecated
    Deprecated

    (Since version 1.4.0) Use write.format(source).saveAsTable(tableName). This will be removed in Spark 2.0.

  16. def saveAsTable(tableName: String, mode: SaveMode): Unit

    Definition Classes
    DataFrame
    Annotations
    @deprecated
    Deprecated

    (Since version 1.4.0) Use write.mode(mode).saveAsTable(tableName). This will be removed in Spark 2.0.

  17. def saveAsTable(tableName: String): Unit

    Definition Classes
    DataFrame
    Annotations
    @deprecated
    Deprecated

    (Since version 1.4.0) Use write.saveAsTable(tableName). This will be removed in Spark 2.0.

  18. def toSchemaRDD: DataFrame

    Definition Classes
    DataFrame
    Annotations
    @deprecated
    Deprecated

    (Since version 1.3.0) Use toDF. This will be removed in Spark 2.0.

Inherited from DataFrame

Inherited from Serializable

Inherited from Serializable

Inherited from Queryable

Inherited from AnyRef

Inherited from Any

Ungrouped