Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/11444#discussion_r54979408
--- Diff: python/pyspark/sql/context.py ---
@@ -50,18 +50,56 @@
def _monkey_patch_RDD(sqlContext):
def toDF(self, schema=None, sampleRatio=None):
"""
- Converts current :class:`RDD` into a :class:`DataFrame`
+ Converts current :class:`RDD` into a :class:`DataFrame` according
to the given schema.
+ If the given schema is None or just column names, the schema will
be inferred by scanning
+ the data in this RDD according to the sampleRatio.
- This is a shorthand for ``sqlContext.createDataFrame(rdd, schema,
sampleRatio)``
+ Note that, the given schema must match the real data, or exception
will be thrown at
+ runtime. If the given schema is not StructType, it will be wrapped
into a StructType as
+ its only field, and the field name will be "value", each record
will also be wrapped into a
+ tuple, which can be converted to row later.
- :param schema: a StructType or list of names of columns
+ :param schema: a :class:`DataType` or a datatype string or list of
names of columns
--- End diff --
Do you want to support a schema string like this? "name age"
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