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

If you are looking for a DDL string from PySpark:

df: DataFrame = spark.read.load('LOCATION')
schema_json = df.schema.json()
ddl = spark.sparkContext._jvm.org.apache.spark.sql.types.DataType.fromJson(schema_json).toDDL()