Packages

c

io.dataos.spark.writers.jdbc

JDBCQueryWriter

class JDBCQueryWriter extends DatasourceWriter

A custom JDBCQueryWriter class that extends the DatasourceWriter. This class is responsible for writing data from a DataFrame to a JDBC data source using a custom query.

Linear Supertypes
DatasourceWriter, Writer, Serializable, Serializable, AnyRef, Any
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Inherited
  1. JDBCQueryWriter
  2. DatasourceWriter
  3. Writer
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new JDBCQueryWriter(outputOptions: JDBCQueryWriterOptions)

    outputOptions

    The JDBC query writer options containing the necessary parameters for writing to the JDBC data source.

Type Members

  1. case class MissingWriterArgumentException(message: String = "", cause: Throwable = None.orNull) extends Exception with Product with Serializable
    Definition Classes
    Writer

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def addValueToStatement(v: Any, stmt: PreparedStatement, i: Int): Unit

    Adds a value to the prepared statement based on its data type.

    Adds a value to the prepared statement based on its data type.

    v

    The value to be added to the prepared statement.

    stmt

    The prepared statement.

    i

    The index of the parameter in the prepared statement.

  5. def alignPartitions(dataFrame: DataFrame, minPartitions: Option[Int], maxPartitions: Option[Int]): DataFrame

    Aligns the partitions of the DataFrame based on the specified minimum and maximum partitions.

    Aligns the partitions of the DataFrame based on the specified minimum and maximum partitions.

    dataFrame

    The DataFrame to be aligned.

    minPartitions

    The minimum number of partitions to use for repartitioning (optional).

    maxPartitions

    The maximum number of partitions to use for coalescing (optional).

    returns

    The aligned DataFrame.

  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  10. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  12. def getMetastoreUrl(addressInfo: Option[AddressInfo]): String

    Get the metastore URL from the provided AddressInfo.

    Get the metastore URL from the provided AddressInfo.

    addressInfo

    An optional AddressInfo that contains the connection information.

    returns

    The metastore URL as a String.

    Definition Classes
    Writer
  13. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  14. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  15. def mergeStreamingConfig(streamingConfig: Option[Streaming], outputOpts: Map[String, AnyRef]): Streaming

    Merge the streaming configuration with the output options for streaming queries.

    Merge the streaming configuration with the output options for streaming queries. This method is used to combine options from both streamingConfig and outputOptions. If the streamingConfig is None, it uses options from the outputOptions and applies default values as needed.

    streamingConfig

    Optional streaming configuration for the streaming query.

    outputOpts

    Output options for the writer.

    returns

    A Streaming object containing the merged streaming configuration.

    Definition Classes
    Writer
  16. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  17. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  18. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  19. def setMandatoryArguments(mandatoryArgs: String*): Unit

    Set the mandatory arguments required by the writer implementation.

    Set the mandatory arguments required by the writer implementation.

    mandatoryArgs

    The names of mandatory arguments as varargs.

    Attributes
    protected
    Definition Classes
    Writer
  20. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  21. def toString(): String
    Definition Classes
    AnyRef → Any
  22. def validateMandatoryArguments(outputOptions: Map[String, Any]): Unit

    Validate if all mandatory arguments are present in the outputOptions map.

    Validate if all mandatory arguments are present in the outputOptions map. If any argument is missing, it throws a MissingWriterArgumentException.

    outputOptions

    The output options map containing the configuration for the writer.

    Definition Classes
    Writer
    Exceptions thrown

    MissingWriterArgumentException if any mandatory argument is missing.

  23. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  26. def write(dataFrame: DataFrame): Unit

    Writes the data from the DataFrame to the specified JDBC data source using a custom query.

    Writes the data from the DataFrame to the specified JDBC data source using a custom query.

    dataFrame

    The DataFrame containing the data to be written to the JDBC data source.

    Definition Classes
    JDBCQueryWriterWriter
  27. def writeStream(dataFrame: DataFrame, streamingConfig: Option[Streaming]): StreamingQuery

    Optional method for writing streaming data from the DataFrame to the specified data source.

    Optional method for writing streaming data from the DataFrame to the specified data source.

    dataFrame

    The DataFrame containing the streaming data to be written.

    streamingConfig

    Optional configuration for the streaming query.

    returns

    A StreamingQuery representing the active streaming query. If streaming is not supported, this method throws an exception.

    Definition Classes
    Writer

Inherited from DatasourceWriter

Inherited from Writer

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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