trait RowTransformSchema extends Serializable
A schema describe a transforming job which convert a Row to a Table(Tensor).
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abstract
val
schemaKey: String
Key of the schema, which will be the key of
Tensorin resultTable.Key of the schema, which will be the key of
Tensorin resultTable. So, it should beuniquein singleRowTransformer. -
abstract
def
transform(values: Seq[Any], fields: Seq[StructField]): Tensor[NumericWildcard]
Transforming Logic of the Schema
Transforming Logic of the Schema
- values
values of selected columns
- fields
StructFields of selected columns
- returns
a result
Tensor
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eq(arg0: AnyRef): Boolean
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val
fieldNames: Seq[String]
This property will override
indiceswhen it is not empty.FieldNamesof Selected ColumnsThis property will override
indiceswhen it is not empty. -
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finalize(): Unit
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val
indices: Seq[Int]
It will work on only when
fieldNamesis empty, otherwiseRowTransformerwill select columns accord tofieldNames.Indicesof Selected ColumnsIt will work on only when
fieldNamesis empty, otherwiseRowTransformerwill select columns accord tofieldNames. If bothindicesandfieldNamesare empty,RowTransformerwill select all columns by default. -
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