Packages

  • package root
    Definition Classes
    root
  • package org
    Definition Classes
    root
  • package apache
    Definition Classes
    org
  • package spark

    Core Spark functionality.

    Core Spark functionality. org.apache.spark.SparkContext serves as the main entry point to Spark, while org.apache.spark.rdd.RDD is the data type representing a distributed collection, and provides most parallel operations.

    In addition, org.apache.spark.rdd.PairRDDFunctions contains operations available only on RDDs of key-value pairs, such as groupByKey and join; org.apache.spark.rdd.DoubleRDDFunctions contains operations available only on RDDs of Doubles; and org.apache.spark.rdd.SequenceFileRDDFunctions contains operations available on RDDs that can be saved as SequenceFiles. These operations are automatically available on any RDD of the right type (e.g. RDD[(Int, Int)] through implicit conversions.

    Java programmers should reference the org.apache.spark.api.java package for Spark programming APIs in Java.

    Classes and methods marked with Experimental are user-facing features which have not been officially adopted by the Spark project. These are subject to change or removal in minor releases.

    Classes and methods marked with Developer API are intended for advanced users want to extend Spark through lower level interfaces. These are subject to changes or removal in minor releases.

    Definition Classes
    apache
  • package sql

    Allows the execution of relational queries, including those expressed in SQL using Spark.

    Allows the execution of relational queries, including those expressed in SQL using Spark.

    Definition Classes
    spark
  • package api

    Contains API classes that are specific to a single language (i.e.

    Contains API classes that are specific to a single language (i.e. Java).

    Definition Classes
    sql
  • package java
    Definition Classes
    api
  • UDF0
  • UDF1
  • UDF10
  • UDF11
  • UDF12
  • UDF13
  • UDF14
  • UDF15
  • UDF16
  • UDF17
  • UDF18
  • UDF19
  • UDF2
  • UDF20
  • UDF21
  • UDF22
  • UDF3
  • UDF4
  • UDF5
  • UDF6
  • UDF7
  • UDF8
  • UDF9

package java

Type Members

  1. trait UDF0[R] extends Serializable

    A Spark SQL UDF that has 0 arguments.

    A Spark SQL UDF that has 0 arguments.

    Annotations
    @Stable()
  2. trait UDF1[T1, R] extends Serializable

    A Spark SQL UDF that has 1 arguments.

    A Spark SQL UDF that has 1 arguments.

    Annotations
    @Stable()
  3. trait UDF10[T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, R] extends Serializable

    A Spark SQL UDF that has 10 arguments.

    A Spark SQL UDF that has 10 arguments.

    Annotations
    @Stable()
  4. trait UDF11[T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, R] extends Serializable

    A Spark SQL UDF that has 11 arguments.

    A Spark SQL UDF that has 11 arguments.

    Annotations
    @Stable()
  5. trait UDF12[T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, R] extends Serializable

    A Spark SQL UDF that has 12 arguments.

    A Spark SQL UDF that has 12 arguments.

    Annotations
    @Stable()
  6. trait UDF13[T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, R] extends Serializable

    A Spark SQL UDF that has 13 arguments.

    A Spark SQL UDF that has 13 arguments.

    Annotations
    @Stable()
  7. trait UDF14[T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, R] extends Serializable

    A Spark SQL UDF that has 14 arguments.

    A Spark SQL UDF that has 14 arguments.

    Annotations
    @Stable()
  8. trait UDF15[T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, R] extends Serializable

    A Spark SQL UDF that has 15 arguments.

    A Spark SQL UDF that has 15 arguments.

    Annotations
    @Stable()
  9. trait UDF16[T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, R] extends Serializable

    A Spark SQL UDF that has 16 arguments.

    A Spark SQL UDF that has 16 arguments.

    Annotations
    @Stable()
  10. trait UDF17[T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, R] extends Serializable

    A Spark SQL UDF that has 17 arguments.

    A Spark SQL UDF that has 17 arguments.

    Annotations
    @Stable()
  11. trait UDF18[T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, R] extends Serializable

    A Spark SQL UDF that has 18 arguments.

    A Spark SQL UDF that has 18 arguments.

    Annotations
    @Stable()
  12. trait UDF19[T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, R] extends Serializable

    A Spark SQL UDF that has 19 arguments.

    A Spark SQL UDF that has 19 arguments.

    Annotations
    @Stable()
  13. trait UDF2[T1, T2, R] extends Serializable

    A Spark SQL UDF that has 2 arguments.

    A Spark SQL UDF that has 2 arguments.

    Annotations
    @Stable()
  14. trait UDF20[T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, R] extends Serializable

    A Spark SQL UDF that has 20 arguments.

    A Spark SQL UDF that has 20 arguments.

    Annotations
    @Stable()
  15. trait UDF21[T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, R] extends Serializable

    A Spark SQL UDF that has 21 arguments.

    A Spark SQL UDF that has 21 arguments.

    Annotations
    @Stable()
  16. trait UDF22[T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, R] extends Serializable

    A Spark SQL UDF that has 22 arguments.

    A Spark SQL UDF that has 22 arguments.

    Annotations
    @Stable()
  17. trait UDF3[T1, T2, T3, R] extends Serializable

    A Spark SQL UDF that has 3 arguments.

    A Spark SQL UDF that has 3 arguments.

    Annotations
    @Stable()
  18. trait UDF4[T1, T2, T3, T4, R] extends Serializable

    A Spark SQL UDF that has 4 arguments.

    A Spark SQL UDF that has 4 arguments.

    Annotations
    @Stable()
  19. trait UDF5[T1, T2, T3, T4, T5, R] extends Serializable

    A Spark SQL UDF that has 5 arguments.

    A Spark SQL UDF that has 5 arguments.

    Annotations
    @Stable()
  20. trait UDF6[T1, T2, T3, T4, T5, T6, R] extends Serializable

    A Spark SQL UDF that has 6 arguments.

    A Spark SQL UDF that has 6 arguments.

    Annotations
    @Stable()
  21. trait UDF7[T1, T2, T3, T4, T5, T6, T7, R] extends Serializable

    A Spark SQL UDF that has 7 arguments.

    A Spark SQL UDF that has 7 arguments.

    Annotations
    @Stable()
  22. trait UDF8[T1, T2, T3, T4, T5, T6, T7, T8, R] extends Serializable

    A Spark SQL UDF that has 8 arguments.

    A Spark SQL UDF that has 8 arguments.

    Annotations
    @Stable()
  23. trait UDF9[T1, T2, T3, T4, T5, T6, T7, T8, T9, R] extends Serializable

    A Spark SQL UDF that has 9 arguments.

    A Spark SQL UDF that has 9 arguments.

    Annotations
    @Stable()

Ungrouped