How to get the schema definition from a dataframe in PySpark?

Question

In PySpark it you can define a schema and read data sources with this pre-defined schema, e. g.:

Schema = StructType([ Str         


        

Answer 1

Yes it is possible. Use DataFrame.schema property

schema

Returns the schema of this DataFrame as a pyspark.sql.types.StructType.

>>> df.schema
StructType(List(StructField(age,IntegerType,true),StructField(name,StringType,true)))

New in version 1.3.

Schema can be also exported to JSON and imported back if needed.