Georg,
Thank you for revert, it throws error because it is coming as string.
On Tue, Jul 18, 2017 at 11:38 AM, Georg Heiler <georg.kf.hei...@gmail.com>
wrote:
> 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
>> 1 Calculus Theory 1234567890 [{"cert":[{
>> "authSbmtr":"009415da-c8cd-418d-869e-0a19601d79fa",
>> 009415da-c8cd-418d-869e-0a19601d79fa
>> "certUUID":"03ea5a1a-5530-4fa3-8871-9d1ebac627c4",
>> "effDt":"2016-05-06T15:04:56.279Z",
>> "fileFmt":"rjrCsv","status":"live"}],
>>
>> "expdCnt":"15",
>> "mfgAcctNum":"531093",
>> "oUUID":"23d07397-4fbe-4897-8a18-b79c9f64726c",
>> "pgmRole":["RETAILER"],
>> "pgmUUID":"1cb5dd63-817a-45bc-a15c-5660e4accd63",
>> "regUUID":"cc1bd898-657d-40dc-af5d-4bf1569a1cc4",
>> "rtlrsSbmtd":["009415da-c8cd-418d-869e-0a19601d79fa"]}]
>>
>> I want to get single row with 11 columns.
>>
>> Thanks.
>>
>
