Sorry for side-line question, but for Python, isn't following the easiest:
>>> import json
>>>* df1 = df.rdd.map(lambda r: json.dumps(r.asDict()))*
>>> df1.take(10)
['{"id": 1}', '{"id": 2}', '{"id": 3}', '{"id": 4}', '{"id": 5}']
On Mon, Sep 11, 2017 at 4:22 AM, Riccardo Ferrari <ferra...@gmail.com>
wrote:
> Hi Kant,
>
> You can check the getValuesMap
> <https://spark.apache.org/docs/2.2.0/api/java/org/apache/spark/sql/Row.html#getValuesMap-scala.collection.Seq->.
> I found this post <https://stackoverflow.com/a/41602178/8356352> useful,
> it is in Scala but should be a good starting point.
> An alternative approach is combine the 'struct' and 'to_json' functions
> <https://spark.apache.org/docs/2.2.0/api/java/org/apache/spark/sql/functions.html>.
> I have not tested this in Java but I am using it in Python.
>
> Best,
>
> On Sun, Sep 10, 2017 at 1:45 AM, kant kodali <kanth...@gmail.com> wrote:
>
>> toJSON on Row object.
>>
>> On Sat, Sep 9, 2017 at 4:18 PM, Felix Cheung <felixcheun...@hotmail.com>
>> wrote:
>>
>>> toJSON on Dataset/DataFrame?
>>>
>>> ------------------------------
>>> *From:* kant kodali <kanth...@gmail.com>
>>> *Sent:* Saturday, September 9, 2017 4:15:49 PM
>>> *To:* user @spark
>>> *Subject:* How to convert Row to JSON in Java?
>>>
>>> Hi All,
>>>
>>> How to convert Row to JSON in Java? It would be nice to have .toJson()
>>> method in the Row class.
>>>
>>> Thanks,
>>> kant
>>>
>>
>>
>
--
Best Regards,
Ayan Guha
