machielg commented on a change in pull request #25496: [PYTHON][WIP] pyspark
schema.toDDL() and DataType.fromDDL(ddl)
URL: https://github.com/apache/spark/pull/25496#discussion_r345157665
##########
File path: python/pyspark/sql/types.py
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@@ -92,6 +92,23 @@ def fromInternal(self, obj):
"""
return obj
+ @Since(3.0)
+ def toDDL(self):
+ """
+ Returns a string containing a schema in DDL format.
+ """
+ sc = SparkContext._active_spark_context
+ dt =
sc._jvm.__getattr__("org.apache.spark.sql.types.DataType$").__getattr__("MODULE$")
+ json = self.json()
+ return dt.fromJson(json).toDDL()
Review comment:
An alternative approach would be to call self._jdf.schema().toDDL(), similar
to dataframe.printSchema(). This would diverge the APIs of Scala/Python but
keep the implementation in Scala.
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