[ 
https://issues.apache.org/jira/browse/SPARK-27037?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Tanjin Panna updated SPARK-27037:
---------------------------------
    Description: 
When we have a tuple as the key or value in a {{MapType}} and call the 
.{{asDict()}}, we still have a {{Row}} in the output for the key and value:
{code:java}
>>> from pyspark.sql import Row 
>>>> df = spark.createDataFrame(
  [ 
    Row(tuple_map={('hello', True): (1234, 111)}), 
    Row(tuple_map={('there', False): (5678, 343)}) 
  ] 
) 

>>> df.schema
StructType(List(StructField(tuple_map,MapType(StructType(List(StructField(_1,StringType,true),StructField(_2,BooleanType,true))),StructType(List(StructField(_1,LongType,true),StructField(_2,LongType,true))),true),true)))

>>> df.show(truncate=False)
+-------------------------------+
|tuple_map                  |
+-------------------------------+
|[[hello, true] -> [1234, 111]] |
|[[there, false] -> [5678, 343]]|
+-------------------------------+

>>> df.head().asDict()
{'tuple_map': {Row(_1=u'hello', _2=True): Row(_1=1234, _2=111)}}
{code}
 

  was:
When we have a tuple as the key or value in a {{MapType}} and call the 
.{{asDict()}}, we still have a {{Row}} in the output for the key and value:
{code:java}
>>> from pyspark.sql import Row 
>>>> df = spark.createDataFrame(
  [ 
    Row(tuple_key_map={('hello', True): (1234, 111)}), 
    Row(tuple_key_map={('there', False): (5678, 343)}) 
  ] 
) 

>>> df.schema
StructType(List(StructField(tuple_key_map,MapType(StructType(List(StructField(_1,StringType,true),StructField(_2,BooleanType,true))),StructType(List(StructField(_1,LongType,true),StructField(_2,LongType,true))),true),true)))

>>> df.show(truncate=False)
+-------------------------------+
|tuple_key_map                  |
+-------------------------------+
|[[hello, true] -> [1234, 111]] |
|[[there, false] -> [5678, 343]]|
+-------------------------------+

>>> df.head().asDict()
{'tuple_key_map': {Row(_1=u'hello', _2=True): Row(_1=1234, _2=111)}}
{code}
 


> Pyspark Row .asDict() cannot handle MapType with a Struct as the key or value
> -----------------------------------------------------------------------------
>
>                 Key: SPARK-27037
>                 URL: https://issues.apache.org/jira/browse/SPARK-27037
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 2.4.0
>            Reporter: Tanjin Panna
>            Priority: Major
>
> When we have a tuple as the key or value in a {{MapType}} and call the 
> .{{asDict()}}, we still have a {{Row}} in the output for the key and value:
> {code:java}
> >>> from pyspark.sql import Row 
> >>>> df = spark.createDataFrame(
>   [ 
>     Row(tuple_map={('hello', True): (1234, 111)}), 
>     Row(tuple_map={('there', False): (5678, 343)}) 
>   ] 
> ) 
> >>> df.schema
> StructType(List(StructField(tuple_map,MapType(StructType(List(StructField(_1,StringType,true),StructField(_2,BooleanType,true))),StructType(List(StructField(_1,LongType,true),StructField(_2,LongType,true))),true),true)))
> >>> df.show(truncate=False)
> +-------------------------------+
> |tuple_map                  |
> +-------------------------------+
> |[[hello, true] -> [1234, 111]] |
> |[[there, false] -> [5678, 343]]|
> +-------------------------------+
> >>> df.head().asDict()
> {'tuple_map': {Row(_1=u'hello', _2=True): Row(_1=1234, _2=111)}}
> {code}
>  



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