The following will convert the whole row to JSON.
import org.apache.spark.sql.functions.*
df.select(to_json(struct(col("*"))))
On Sat, Sep 9, 2017 at 6:27 PM, kant kodali <kanth...@gmail.com> wrote:
> Thanks Ryan! In this case, I will have Dataset<Row> so is there a way to
> convert Row to Json string?
>
> Thanks
>
> On Sat, Sep 9, 2017 at 5:14 PM, Shixiong(Ryan) Zhu <
> shixi...@databricks.com> wrote:
>
>> It's because "toJSON" doesn't support Structured Streaming. The current
>> implementation will convert the Dataset to an RDD, which is not supported
>> by streaming queries.
>>
>> On Sat, Sep 9, 2017 at 4:40 PM, kant kodali <kanth...@gmail.com> wrote:
>>
>>> yes it is a streaming dataset. so what is the problem with following
>>> code?
>>>
>>> Dataset<String> ds = dataset.toJSON().map(()->{some function that returns a
>>> string});
>>> StreamingQuery query = ds.writeStream().start();
>>> query.awaitTermination();
>>>
>>>
>>> On Sat, Sep 9, 2017 at 4:20 PM, Felix Cheung <felixcheun...@hotmail.com>
>>> wrote:
>>>
>>>> What is newDS?
>>>> If it is a Streaming Dataset/DataFrame (since you have writeStream
>>>> there) then there seems to be an issue preventing toJSON to work.
>>>>
>>>> ------------------------------
>>>> *From:* kant kodali <kanth...@gmail.com>
>>>> *Sent:* Saturday, September 9, 2017 4:04:33 PM
>>>> *To:* user @spark
>>>> *Subject:* Queries with streaming sources must be executed with
>>>> writeStream.start()
>>>>
>>>> Hi All,
>>>>
>>>> I have the following code and I am not sure what's wrong with it? I
>>>> cannot call dataset.toJSON() (which returns a DataSet) ? I am using spark
>>>> 2.2.0 so I am wondering if there is any work around?
>>>>
>>>> Dataset<String> ds = newDS.toJSON().map(()->{some function that returns a
>>>> string});
>>>> StreamingQuery query = ds.writeStream().start();
>>>> query.awaitTermination();
>>>>
>>>>
>>>
>>
>
