Thanks guys both those answers are really helpful. Really appreciate this.
On 25 Feb 2016 12:05 a.m., "Michał Zieliński" <zielinski.mich...@gmail.com>
wrote:

> Hi Anthony,
>
> Hopefully that's what you wanted :)
>
> case class Example(id:String, myMap: Map[String,Int])
>> val myDF = sqlContext.createDataFrame(
>>   Seq(
>>     Example("a02d1fa5d87dce6a7", Map("Vans" -> 1, "Versace" ->2))
>>   )
>> )
>> myDF.
>>   explode("myMap","tempSeq")((x: Map[String,Int]) => x.toSeq).
>>   withColumn("brand_key",col("tempSeq")("_1")).
>>   withColumn("brand_count",col("tempSeq")("_2")).
>>   drop("tempSeq").
>>   show(false)
>
>
> This gives us:
>
> +-----------------+----------------------------+---------+-----------+
>> |id               |myMap                       |brand_key|brand_count|
>> +-----------------+----------------------------+---------+-----------+
>> |a02d1fa5d87dce6a7|Map(Vans -> 1, Versace -> 2)|Vans     |1          |
>> |a02d1fa5d87dce6a7|Map(Vans -> 1, Versace -> 2)|Versace  |2          |
>> +-----------------+----------------------------+---------+-----------+
>
>
>
> Cheers,
> Michael
>
> On 25 February 2016 at 00:06, Anthony Brew <atb...@gmail.com> wrote:
>
>> Hi,
>>      I have a Dataframe containing a column with a map Map[A,B] with
>> multiple values. I want to explode the key,value pairs in the map into a
>> new column, actually planing to create 2 new cols.
>>
>> My plan had been
>>
>> - explode "input": Map[K,V] to "temp":Iterable[Map[K,V]]
>> - new col temp to temp.key
>> - new col temp to temp.value
>> - drop temp
>>
>> But I am failing at the first hurdle.
>>
>> For example my data looks a bit like like....
>>
>> scala> test.show()
>> +----------------------------+------------------------------------------+
>> |         id                       |      brand
>>           |
>> +----------------------------+------------------------------------------+
>> |a02d1fa5d87dce6a7...|Map(Vans -> 1, Versace ->2,  ...|
>>
>>
>> but I want to get to
>>
>> scala> test.show()
>> +-----------------------------+------------------------------------------+
>> |         id                        |      brand_key    | brand_count   |
>> +-----------------------------+------------------------------------------+
>> | a02d1fa5d87dce6a7...|           Vans       |   1                   |
>> | a02d1fa5d87dce6a7...|           Versace  |    2                  |
>>
>>
>> Any suggestions would be appreciated.
>>
>> Thanks,
>> Anthony
>>
>>
>>
>

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