[jira] [Created] (SPARK-7507) pyspark.sql.types.StructType and Row should implement __iter__()

["Nicholas Chammas (JIRA)" <ji...@apache.org>]

Nicholas Chammas created SPARK-7507:
---------------------------------------

             Summary: pyspark.sql.types.StructType and Row should implement __iter__()
                 Key: SPARK-7507
                 URL: https://issues.apache.org/jira/browse/SPARK-7507
             Project: Spark
          Issue Type: Improvement
          Components: PySpark, SQL
            Reporter: Nicholas Chammas
            Priority: Minor


{{StructType}} looks an awful lot like a Python dictionary.

However, it doesn't implement {{\_\_iter\_\_()}}, so doing a quick conversion like this doesn't work:

{code}
>>> df = sqlContext.jsonRDD(sc.parallelize(['{"name": "El Magnifico"}']))
>>> df.schema
StructType(List(StructField(name,StringType,true)))
>>> dict(df.schema)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: 'StructType' object is not iterable
{code}

This would be super helpful for doing any custom schema manipulations without having to go through the whole {{.json() -> json.loads() -> manipulate() -> json.dumps() -> .fromJson()}} charade.

Same goes for {{Row}}, which offers an [{{asDict()}}|https://spark.apache.org/docs/1.3.1/api/python/pyspark.sql.html#pyspark.sql.Row.asDict] method but doesn't support the more Pythonic {{dict(Row)}}.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org