Github user ilganeli commented on a diff in the pull request:
https://github.com/apache/spark/pull/6686#discussion_r32656127
--- Diff: python/pyspark/sql/types.py ---
@@ -368,8 +367,49 @@ def __init__(self, fields):
>>> struct1 == struct2
False
"""
- assert all(isinstance(f, DataType) for f in fields), "fields
should be a list of DataType"
- self.fields = fields
+ if not fields:
+ self.fields = []
+ else:
+ self.fields = fields
+ assert all(isinstance(f, StructField) for f in fields),\
+ "fields should be a list of StructField"
+
+ def add(self, name_or_struct_field, data_type=NullType(),
nullable=True, metadata=None):
--- End diff --
Davies - totally agree. This was changed specifically to consolidate to a
single method as suggested by Reynold. I initially had separate add methods -
one which accepted a StructField and one which accepted the 4 parameters, the
first two of which were defined.
What would you suggest? My preference is to break this out into two methods
for clarity and to avoid the problem you mention.
Thank you,
Ilya Ganelin
-----Original Message-----
From: Davies Liu [[email protected]<mailto:[email protected]>]
Sent: Wednesday, June 17, 2015 01:18 PM Eastern Standard Time
To: apache/spark
Cc: Ganelin, Ilya
Subject: Re: [spark] [SPARK-8056][SQL] Design an easier way to construct
schema for both Scala and Python (#6686)
In
python/pyspark/sql/types.py<https://github.com/apache/spark/pull/6686#discussion_r32650869>:
> @@ -368,8 +367,49 @@ def __init__(self, fields):
> >>> struct1 == struct2
> False
> """
> - assert all(isinstance(f, DataType) for f in fields), "fields
should be a list of DataType"
> - self.fields = fields
> + if not fields:
> + self.fields = []
> + else:
> + self.fields = fields
> + assert all(isinstance(f, StructField) for f in fields),\
> + "fields should be a list of StructField"
> +
> + def add(self, name_or_struct_field, data_type=NullType(),
nullable=True, metadata=None):
What's the use cases that we should have StructType without specifying the
dataType of each column?
In createDataFrame, if a schema of StructType is provided, it will not try
to infer the data types, so it does not work with StructType with NoneType in
it.
â
Reply to this email directly or view it on
GitHub<https://github.com/apache/spark/pull/6686/files#r32650869>.
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