gt;>>>>
>>>>>> Implicit tried - didn't worked!
>>>>>>
>>>>>> from_json - didnt support spark 2.0.1 any alternate solution would be
>>>>>> welcome please
>>>>>>
>>>>>>
>>&
e JOLT (bazaarvoice/jolt
>>>>>>> <https://github.com/bazaarvoice/jolt>) to flatten it to a json
>>>>>>> string and then to dataframe or dataset.
>>>>>>>
>>>>>>> bazaarvoice/jolt
>>>>>>>
>>>>>&
t;>>>>> bazaarvoice/jolt
>>>>>>
>>>>>> jolt - JSON to JSON transformation library written in Java.
>>>>>> <https://github.com/bazaarvoice/jolt>
>>>>>>
>>>>>>
>>>>>>
>>
>>
>>>>> bazaarvoice/jolt
>>>>>
>>>>> jolt - JSON to JSON transformation library written in Java.
>>>>> <https://github.com/bazaarvoice/jolt>
>>>>>
>>>>>
>>>>>
>>>>>
>
>>>>
>>>> On Monday, July 17, 2017, 11:18:24 PM PDT, Chetan Khatri <
>>>> chetan.opensou...@gmail.com> wrote:
>>>>
>>>>
>>>> Explode is not working in this scenario with error - string cannot be
>>>>
working in this scenario with error - string cannot be
>>> used in explore either array or map in spark
>>> On Tue, Jul 18, 2017 at 11:39 AM, 刘虓 <ipf...@gmail.com> wrote:
>>>
>>> Hi,
>>> have you tried to use explode?
>>>
>>> Cheta
lode is not working in this scenario with error - string cannot be
>> used in explore either array or map in spark
>> On Tue, Jul 18, 2017 at 11:39 AM, 刘虓 <ipf...@gmail.com> wrote:
>>
>> Hi,
>> have you tried to use explode?
>>
>> Chetan Khatri <che
mail.com> 于2017年7月18日 周二下午2:06写道:
>
> Hello Spark Dev's,
>
> Can you please guide me, how to flatten JSON to multiple columns in Spark.
>
> *Example:*
>
> Sr No Title ISBN Info
> 1 Calculus Theory 1234567890
>
> [{"cert":[{
> "authSbmtr":"009
ou...@gmail.com> 于2017年7月18日 周二下午2:06写道:
Hello Spark Dev's,
Can you please guide me, how to flatten JSON to multiple columns in Spark.
Example:
| Sr No | Title | ISBN | Info |
| 1 | Calculus Theory | 1234567890 | [{"cert":[{
"authSbmtr":"009415da-c8cd- 418d-869e-0a19601d7
t;于2017年7月18日 周二下午2:06写道:
>
>> Hello Spark Dev's,
>>
>> Can you please guide me, how to flatten JSON to multiple columns in Spark.
>>
>> *Example:*
>>
>> Sr No Title ISBN Info
>> 1 Calculus Theory 1234567890 [{"cert":[{
>> "authSbm
2017
> um 08:06:
>
>> Hello Spark Dev's,
>>
>> Can you please guide me, how to flatten JSON to multiple columns in Spark.
>>
>> *Example:*
>>
>> Sr No Title ISBN Info
>> 1 Calculus Theory 1234567890 [{"cert":[{
>> "authSbmtr&q
Hi,
have you tried to use explode?
Chetan Khatri <chetan.opensou...@gmail.com>于2017年7月18日 周二下午2:06写道:
> Hello Spark Dev's,
>
> Can you please guide me, how to flatten JSON to multiple columns in Spark.
>
> *Example:*
>
> Sr No Title ISBN Info
> 1 Calc
df.select ($"Info.*") should help
Chetan Khatri <chetan.opensou...@gmail.com> schrieb am Di. 18. Juli 2017 um
08:06:
> Hello Spark Dev's,
>
> Can you please guide me, how to flatten JSON to multiple columns in Spark.
>
> *Example:*
>
> Sr No Title ISBN Info
&
Hello Spark Dev's,
Can you please guide me, how to flatten JSON to multiple columns in Spark.
*Example:*
Sr No Title ISBN Info
1 Calculus Theory 1234567890 [{"cert":[{
"authSbmtr":"009415da-c8cd-418d-869e-0a19601d79fa",
009415da-c8cd-418d-869e-0a19601d79fa
"
14 matches
Mail list logo