Packages

  • package root
    Definition Classes
    root
  • package org
    Definition Classes
    root
  • package apache
    Definition Classes
    org
  • package spark
    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 catalog
    Definition Classes
    sql
  • package catalyst
    Definition Classes
    sql
  • package connector
    Definition Classes
    sql
  • package dynamicpruning
    Definition Classes
    sql
  • package execution

    The physical execution component of Spark SQL.

    The physical execution component of Spark SQL. Note that this is a private package. All classes in catalyst are considered an internal API to Spark SQL and are subject to change between minor releases.

    Definition Classes
    sql
  • package expressions
    Definition Classes
    sql
  • package internal

    All classes in this package are considered an internal API to Spark and are subject to change between minor releases.

    All classes in this package are considered an internal API to Spark and are subject to change between minor releases.

    Definition Classes
    sql
  • package jdbc
    Definition Classes
    sql
  • JdbcDialect
  • JdbcDialects
  • JdbcType
  • package sources

    A set of APIs for adding data sources to Spark SQL.

    A set of APIs for adding data sources to Spark SQL.

    Definition Classes
    sql
  • package streaming
    Definition Classes
    sql
  • package util
    Definition Classes
    sql

package jdbc

Ordering
  1. Alphabetic
Visibility
  1. Public
  2. All

Type Members

  1. abstract class JdbcDialect extends Serializable

    :: DeveloperApi :: Encapsulates everything (extensions, workarounds, quirks) to handle the SQL dialect of a certain database or jdbc driver.

    :: DeveloperApi :: Encapsulates everything (extensions, workarounds, quirks) to handle the SQL dialect of a certain database or jdbc driver. Lots of databases define types that aren't explicitly supported by the JDBC spec. Some JDBC drivers also report inaccurate information---for instance, BIT(n>1) being reported as a BIT type is quite common, even though BIT in JDBC is meant for single-bit values. Also, there does not appear to be a standard name for an unbounded string or binary type; we use BLOB and CLOB by default but override with database-specific alternatives when these are absent or do not behave correctly.

    Currently, the only thing done by the dialect is type mapping. getCatalystType is used when reading from a JDBC table and getJDBCType is used when writing to a JDBC table. If getCatalystType returns null, the default type handling is used for the given JDBC type. Similarly, if getJDBCType returns (null, None), the default type handling is used for the given Catalyst type.

    Annotations
    @DeveloperApi()
  2. case class JdbcType(databaseTypeDefinition: String, jdbcNullType: Int) extends Product with Serializable

    :: DeveloperApi :: A database type definition coupled with the jdbc type needed to send null values to the database.

    :: DeveloperApi :: A database type definition coupled with the jdbc type needed to send null values to the database.

    databaseTypeDefinition

    The database type definition

    jdbcNullType

    The jdbc type (as defined in java.sql.Types) used to send a null value to the database.

    Annotations
    @DeveloperApi()

Value Members

  1. object JdbcDialects

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

    :: 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()
    Note

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

Ungrouped