Class/Object

com.ebiznext.comet.job.convert

Parquet2CSV

Related Docs: object Parquet2CSV | package convert

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class Parquet2CSV extends SparkJob

Convert parquet files to CSV. The folder hierarchy should be in the form /input_folder/domain/schema/part*.parquet Once converted the csv files is put in the folder /output_folder/domain/schema.csv file When the specified number of parittions is 1 then /output_folder/domain/schema.csv is the file containing the data otherwise, it is a folder containng the part*.csv files. When output_folder is not specified, then the input_folder is used a the base output folder.

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SparkJob, StrictLogging, AnyRef, Any
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  1. Parquet2CSV
  2. SparkJob
  3. StrictLogging
  4. AnyRef
  5. Any
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Visibility
  1. Public
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Instance Constructors

  1. new Parquet2CSV(config: Parquet2CSVConfig, storageHandler: StorageHandler)(implicit settings: Settings)

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  6. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  7. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  8. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  9. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  10. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  11. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  12. val logger: Logger

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    Attributes
    protected
    Definition Classes
    StrictLogging

  13. def name: String

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    Definition Classes
    Parquet2CSV → SparkJob

  14. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  15. final def notify(): Unit

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    Definition Classes
    AnyRef

  16. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  17. def partitionDataset(dataset: DataFrame, partition: List[String]): DataFrame

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    Definition Classes
    SparkJob

  18. def partitionedDatasetWriter(dataset: DataFrame, partition: List[String]): DataFrameWriter[Row]

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    Partition a dataset using dataset columns.

    Partition a dataset using dataset columns. To partition the dataset using the igestion time, use the reserved column names :

    • comet_year
    • comet_month
    • comet_day
    • comet_hour
    • comet_minute These columsn are renamed to "year", "month", "day", "hour", "minute" in the dataset and their values is set to the current date/time.
    dataset

    : Input dataset

    partition

    : list of columns to use for partitioning.

    returns

    The Spark session used to run this job

    Definition Classes
    SparkJob

  19. def run(): Try[SparkSession]

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    Just to force any spark job to implement its entry point using within the "run" method

    Just to force any spark job to implement its entry point using within the "run" method

    returns

    : Spark Session used for the job

    Definition Classes
    Parquet2CSV → SparkJob

  20. lazy val session: SparkSession

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    Definition Classes
    SparkJob

  21. implicit val settings: Settings

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    Definition Classes
    Parquet2CSV → SparkJob

  22. lazy val sparkEnv: SparkEnv

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    Definition Classes
    SparkJob

  23. val storageHandler: StorageHandler

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  24. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  25. def toString(): String

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    Definition Classes
    AnyRef → Any

  26. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  27. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  28. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from SparkJob

Inherited from StrictLogging

Inherited from AnyRef

Inherited from Any

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