Object/Trait

com.github.mjakubowski84.parquet4s

ParquetReader

Related Docs: trait ParquetReader | package parquet4s

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object ParquetReader

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Type Members

  1. type Builder = org.apache.parquet.hadoop.ParquetReader.Builder[RowParquetRecord]

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  2. case class Options(timeZone: TimeZone = TimeZone.getDefault, hadoopConf: Configuration = new Configuration()) extends Product with Serializable

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    Configuration settings that are used during decoding or reading Parquet files

    Configuration settings that are used during decoding or reading Parquet files

    timeZone

    set it to TimeZone which was used to encode time-based data that you want to read; machine's time zone is used by default

    hadoopConf

    use it to programmatically override Hadoop's Configuration

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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    protected[java.lang]
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    @throws( ... )
  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. final def isInstanceOf[T0]: Boolean

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. def read[T](path: String, options: Options = Options(), filter: Filter = Filter.noopFilter)(implicit reader: ParquetReader[T]): ParquetIterable[T]

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    Creates new ParquetIterable over data from given path.

    Creates new ParquetIterable over data from given path.
    Path can represent local file or directory, HDFS, AWS S3, Google Storage, Azure, etc. Please refer to Hadoop client documentation or your data provider in order to know how to configure the connection.

    T

    type of data that represents the schema of the Parquet file, e.g.:

    case class MyData(id: Long, name: String, created: java.sql.Timestamp)
    path

    URI to Parquet files, e.g.:

    "file:///data/users"
    options

    configuration of how Parquet files should be read

    filter

    optional before-read filtering; no filtering is applied by default; check Filter for more details

    Note

    Remember to call close() on iterable in order to free resources!

  16. implicit def reader[T](implicit arg0: ParquetRecordDecoder[T]): ParquetReader[T]

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    Default implementation of ParquetReader.

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

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  18. def toString(): String

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  19. final def wait(): Unit

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

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

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Deprecated Value Members

  1. def apply[T](path: String, options: Options = Options(), filter: Filter = Filter.noopFilter)(implicit arg0: ParquetRecordDecoder[T]): ParquetIterable[T]

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    @deprecated
    Deprecated

    (Since version 0.3.0) Please use read function or ParquetReader type class

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