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  • package root
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    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 jdbc
    Definition Classes
    sql
  • JdbcDialect
  • JdbcDialects
  • JdbcType
o

org.apache.spark.sql.jdbc

JdbcDialects

object JdbcDialects

:: DeveloperApi :: Registry of dialects that apply to every new jdbc org.apache.spark.sql.DataFrame.

If multiple matching dialects are registered then all matching ones will be tried in reverse order. A user-added dialect will thus be applied first, overwriting the defaults.

Annotations
@DeveloperApi() @Evolving()
Note

All new dialects are applied to new jdbc DataFrames only. Make sure to register your dialects first.

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  9. def get(url: String): JdbcDialect

    Fetch the JdbcDialect class corresponding to a given database url.

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  16. def registerDialect(dialect: JdbcDialect): Unit

    Register a dialect for use on all new matching jdbc org.apache.spark.sql.DataFrame.

    Register a dialect for use on all new matching jdbc org.apache.spark.sql.DataFrame. Reading an existing dialect will cause a move-to-front.

    dialect

    The new dialect.

  17. final def synchronized[T0](arg0: ⇒ T0): T0
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  18. def toString(): String
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  19. def unregisterDialect(dialect: JdbcDialect): Unit

    Unregister a dialect.

    Unregister a dialect. Does nothing if the dialect is not registered.

    dialect

    The jdbc dialect.

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