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https://issues.apache.org/jira/browse/SPARK-7507?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu closed SPARK-7507.
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Resolution: Won't Fix
> 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: Sub-task
> 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)}}.
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