DataFrameReader.Schema Method
Definition
Important
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Overloads
| Schema(StructType) |
Specifies the schema by using StructType. |
| Schema(String) |
Specifies the schema by using the given DDL-formatted string. |
Schema(StructType)
Specifies the schema by using StructType.
public Microsoft.Spark.Sql.DataFrameReader Schema (Microsoft.Spark.Sql.Types.StructType schema);member this.Schema : Microsoft.Spark.Sql.Types.StructType -> Microsoft.Spark.Sql.DataFrameReaderPublic Function Schema (schema As StructType) As DataFrameReaderParameters
- schema
- StructType
The input schema
Returns
This DataFrameReader object
Remarks
Some data sources (e.g. JSON) can infer the input schema automatically from data. By specifying the schema here, the underlying data source can skip the schema inference step, and thus speed up data loading.
Applies to
Schema(String)
Specifies the schema by using the given DDL-formatted string.
public Microsoft.Spark.Sql.DataFrameReader Schema (string schemaString);member this.Schema : string -> Microsoft.Spark.Sql.DataFrameReaderPublic Function Schema (schemaString As String) As DataFrameReaderParameters
- schemaString
- String
DDL-formatted string
Returns
This DataFrameReader object
Remarks
Some data sources (e.g. JSON) can infer the input schema automatically from data. By specifying the schema here, the underlying data source can skip the schema inference step, and thus speed up data loading.