You can try this .. But slightly modified the input structure since first
two columns were not in Json format.
[image: Inline image 1]
Thanks & Regards,
Gokula Krishnan* (Gokul)*
On Wed, Dec 23, 2015 at 9:46 AM, Eran Witkon <eranwit...@gmail.com> wrote:
> Did you get a solution for this?
>
> On Tue, 22 Dec 2015 at 20:24 raja kbv <raja...@yahoo.com.invalid> wrote:
>
>> Hi,
>>
>> I am new to spark.
>>
>> I have a text file with below structure.
>>
>>
>> (employeeID: Int, Name: String, ProjectDetails: JsonObject{[{ProjectName,
>> Description, Duriation, Role}]})
>> Eg:
>> (123456, Employee1, {“ProjectDetails”:[
>> {
>> “ProjectName”: “Web Develoement”, “Description” : “Online Sales website”,
>> “Duration” : “6 Months” , “Role” : “Developer”}
>> {
>> “ProjectName”: “Spark Develoement”, “Description” : “Online Sales
>> Analysis”, “Duration” : “6 Months” , “Role” : “Data Engineer”}
>> {
>> “ProjectName”: “Scala Training”, “Description” : “Training”, “Duration” :
>> “1 Month” }
>> ]
>> }
>>
>>
>> Could someone help me to parse & flatten the record as below dataframe
>> using scala?
>>
>> employeeID,Name, ProjectName, Description, Duration, Role
>> 123456, Employee1, Web Develoement, Online Sales website, 6 Months ,
>> Developer
>> 123456, Employee1, Spark Develoement, Online Sales Analysis, 6 Months,
>> Data Engineer
>> 123456, Employee1, Scala Training, Training, 1 Month, null
>>
>>
>> Thank you in advance.
>>
>> Regards,
>> Raja
>>
>
