ParquetPartition

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

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

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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6. final def asInstanceOf[T0]: T0

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13. final def isInstanceOf[T0]: Boolean

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14. def materializeRecords[T](io: ByteAccess, recordMaterializer: RecordMaterializer[T], filter: UnboundRecordFilter, rowGroup: ParquetRowGroup, requestedSchema: ParquetSchemaType, actualSchema: ParquetSchemaType): Iterator[T]

    This is our core implementation that materializes records out of a row group, applying the corresponding filters and projections.

    This is our core implementation that materializes records out of a row group, applying the corresponding filters and projections.

    T

    The type of the records desired by the user

    io

    The bytes (reified as a ByteAccess value) for the Parquet file

    recordMaterializer

    a record materializer for the records we are requesting back

    filter

    The filter to dictate which records should be materialized.

    rowGroup

    The metadata for the row group we are materializing records from

    requestedSchema

    The projection requested by the user

    actualSchema

    The schema of the records in the file

    returns

    An iterator which materializes only those records passing the filter from the row group

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

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16. final def notify(): Unit

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20. final def wait(): Unit

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

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