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 [notificati...@github.com<mailto:notificati...@github.com>] 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>. ________________________________________________________ The information contained in this e-mail is confidential and/or proprietary to Capital One and/or its affiliates and may only be used solely in performance of work or services for Capital One. The information transmitted herewith is intended only for use by the individual or entity to which it is addressed. If the reader of this message is not the intended recipient, you are hereby notified that any review, retransmission, dissemination, distribution, copying or other use of, or taking of any action in reliance upon this information is strictly prohibited. If you have received this communication in error, please contact the sender and delete the material from your computer.
--- 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