Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/11444#discussion_r54980211
--- 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 --
Let me check the grammar of pandas. Currently I just followed the
`DataType.simplyString` format
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
