ParquetHiveDialect

Value Members

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

   

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2. final def ##(): Int

   

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

   

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4. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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

   

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7. def equals(arg0: Any): Boolean

   

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8. def finalize(): Unit

   

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

   

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10. def hashCode(): Int

    

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11. def input(path: Path, ignore: StructType, projectionSchema: StructType, predicate: Option[Predicate])(implicit fs: FileSystem, conf: Configuration): Publisher[Seq[Row]]

    
    path

    where to load the data from

    projectionSchema

    the schema required to read. This might not be the full schema present in the data but is required here because some file schemas can read data more efficiently if they know they can omit some fields (eg Parquet).

    predicate

    used by some implementations to filter data at a file read level (eg Parquet) The dataSchema represents the schema that was written for the data files. This won't necessarily be the same as the hive metastore schema, because partition values are not written to the data files. We must include this here because some hive formats don't store schema information with the data, eg delimited files. The readerSchema is the schema required by the caller which may be the same as the written data, or it may be a subset if a projection pushdown is being used.

    Definition Classes

    ParquetHiveDialect → HiveDialect

12. final def isInstanceOf[T0]: Boolean

    

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13. val logger: Logger

    

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

    

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15. final def notify(): Unit

    

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16. final def notifyAll(): Unit

    

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17. def output(schema: StructType, path: Path, permission: Option[FsPermission], roundingMode: RoundingMode, metadata: Map[String, String])(implicit fs: FileSystem, conf: Configuration): HiveOutputStream

    

    Creates a new writer ready to do the bidding of the hive sink.

    Creates a new writer ready to do the bidding of the hive sink.

    schema

    the schema that will be written to the underlying file. Since this is Hive, the caller should have stripped out any partition values

    path

    the location to write the file

    permission

    optional permission to set on the file once completed

    metadata

    any metadata we wish to include in the file, this might not be supported by all filetypes

    Definition Classes

    ParquetHiveDialect → HiveDialect

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

    

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19. def toString(): String

    

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20. final def wait(): Unit

    

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

    

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

    

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