org.apache.spark.sql

AQPDataFrame

case class AQPDataFrame(sqlContext: SnappyContext, qe: QueryExecution) extends DataFrame with Product with Serializable

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Product, Equals, DataFrame, Serializable, Serializable, Queryable, AnyRef, Any
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Inherited
  1. AQPDataFrame
  2. Product
  3. Equals
  4. DataFrame
  5. Serializable
  6. Serializable
  7. Queryable
  8. AnyRef
  9. Any
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Instance Constructors

  1. new AQPDataFrame(sqlContext: SnappyContext, qe: QueryExecution)

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(): AQPDataFrame.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 except(other: DataFrame): DataFrame

    Definition Classes
    DataFrame
  38. def explain(): Unit

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

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

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

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

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

    Definition Classes
    DataFrame
  44. def finalize(): Unit

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

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

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

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

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

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

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

    Definition Classes
    DataFrame
    Annotations
    @varargs()
  52. def head(): Row

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

    Definition Classes
    DataFrame
  54. def inputFiles: Array[String]

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

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

    Definition Classes
    Any
  57. def isLocal: Boolean

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

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

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

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

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

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

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

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

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

    Definition Classes
    DataFrame
  67. val logicalPlan: LogicalPlan

    Attributes
    protected[org.apache.spark.sql]
    Definition Classes
    DataFrame
  68. def map[R](f: (Row) ⇒ R)(implicit arg0: ClassTag[R]): RDD[R]

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

    Definition Classes
    DataFrame
  70. def na: DataFrameNaFunctions

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

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

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

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

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

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

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

    Definition Classes
    DataFrame
  78. def persist(): AQPDataFrame.this.type

    Definition Classes
    DataFrame
  79. def printSchema(): Unit

    Definition Classes
    DataFrame → Queryable
  80. val qe: QueryExecution

  81. val queryExecution: QueryExecution

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

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

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

    Definition Classes
    DataFrame
  85. def registerTempTable(tableName: String): Unit

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

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

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

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

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

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

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

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

    Definition Classes
    DataFrame
  94. def schema: StructType

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

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

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

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

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

    Definition Classes
    DataFrame
  100. def show(): Unit

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

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

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

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

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

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

    Definition Classes
    AQPDataFrame → DataFrame → Queryable
  107. def stat: DataFrameStatFunctions

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

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

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

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

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

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

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

    Definition Classes
    DataFrame
  115. def toString(): String

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

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

    Definition Classes
    DataFrame
  118. def unpersist(): AQPDataFrame.this.type

    Definition Classes
    DataFrame
  119. def unpersist(blocking: Boolean): AQPDataFrame.this.type

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

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

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

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

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

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

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

    Definition Classes
    DataFrame
  127. def withError(error: Double, confidence: Double = Constant.DEFAULT_CONFIDENCE): DataFrame

  128. 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 Product

Inherited from Equals

Inherited from DataFrame

Inherited from Serializable

Inherited from Serializable

Inherited from Queryable

Inherited from AnyRef

Inherited from Any

Ungrouped