object TypedDataset
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- def create[A](dataset: Dataset[A])(implicit arg0: TypedEncoder[A]): TypedDataset[A]
- def create[A](data: RDD[A])(implicit encoder: TypedEncoder[A], sqlContext: SparkSession): TypedDataset[A]
- def create[A](data: Seq[A])(implicit encoder: TypedEncoder[A], sqlContext: SparkSession): TypedDataset[A]
- def createUnsafe[A](df: DataFrame)(implicit arg0: TypedEncoder[A]): TypedDataset[A]
Creates a frameless.TypedDataset from a Spark org.apache.spark.sql.DataFrame.
Creates a frameless.TypedDataset from a Spark org.apache.spark.sql.DataFrame. Note that the names and types need to align!
This is an unsafe operation: If the schemas do not align, the error will be captured at runtime (not during compilation).
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Deprecated Value Members
- def unsafeCreate[A](dataset: Dataset[A])(implicit arg0: TypedEncoder[A]): TypedDataset[A]
Prefer
TypedDataset.createoverTypedDataset.unsafeCreateunless you know what you are doing.Prefer
TypedDataset.createoverTypedDataset.unsafeCreateunless you know what you are doing.- Annotations
- @deprecated
- Deprecated
(Since version 0.3.0) Prefer TypedDataset.create over TypedDataset.unsafeCreate