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  • package root
    Definition Classes
    root
  • package org
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    root
  • package apache
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    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 avro
    Definition Classes
    sql
  • AvroCompressionCodec
  • SchemaConverters
  • functions
o

org.apache.spark.sql.avro

SchemaConverters

object SchemaConverters

This object contains method that are used to convert sparkSQL schemas to avro schemas and vice versa.

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@DeveloperApi()
Source
SchemaConverters.scala
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Type Members

  1. case class SchemaType(dataType: DataType, nullable: Boolean) extends Product with Serializable

    Internal wrapper for SQL data type and nullability.

    Internal wrapper for SQL data type and nullability.

    Since

    2.4.0

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  14. final def synchronized[T0](arg0: => T0): T0
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  15. def toAvroType(catalystType: DataType, nullable: Boolean = false, recordName: String = "topLevelRecord", nameSpace: String = ""): Schema

    Converts a Spark SQL schema to a corresponding Avro schema.

    Converts a Spark SQL schema to a corresponding Avro schema.

    Since

    2.4.0

  16. def toSqlType(avroSchema: Schema): SchemaType

    Converts an Avro schema to a corresponding Spark SQL schema.

    Converts an Avro schema to a corresponding Spark SQL schema.

    Since

    2.4.0

  17. def toSqlType(avroSchema: Schema, useStableIdForUnionType: Boolean, stableIdPrefixForUnionType: String): SchemaType

    Converts an Avro schema to a corresponding Spark SQL schema.

    Converts an Avro schema to a corresponding Spark SQL schema.

    Since

    4.0.0

  18. def toString(): String
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  19. final def wait(arg0: Long, arg1: Int): Unit
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  1. def finalize(): Unit
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    @throws(classOf[java.lang.Throwable]) @Deprecated
    Deprecated

    (Since version 9)

  2. def toSqlType(avroSchema: Schema, options: Map[String, String]): SchemaType
    Annotations
    @deprecated
    Deprecated

    (Since version 4.0.0) using toSqlType(..., useStableIdForUnionType: Boolean) instead

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