Cool. Try it out and let me know if you need some additional features.
I have a latest version which supports few more different input types. Regards, Sourav On Wed, Jan 31, 2018 at 10:03 AM, Andrés Ivaldi <iaiva...@gmail.com> wrote: > Thanks, > > That seems like what I need > > > > > On Wed, Jan 31, 2018 at 2:48 PM, Sourav Mazumder < > sourav.mazumde...@gmail.com> wrote: > >> Hi Andres, >> >> Check out this - https://github.com/sourav-mazu >> mder/Data-Science-Extensions/tree/master/spark-datasource-rest. >> >> This component can help you doing everything you are looking for. >> >> You can get the binary file for your immediate use from the release >> section of the repository >> >> Please let me know if you need any help in building the jar. >> >> Regards, >> Sourav >> >> On Wed, Jan 31, 2018 at 9:28 AM, Andrés Ivaldi <iaiva...@gmail.com> >> wrote: >> >>> Hello, I'm newbie with Apache Zepellin, what I need is very basic, just >>> get a csv or json data from WS then transform the data with spark, and show >>> some reports. >>> >>> What could be the best approach to do it? >>> >>> Create a JAR with helpers to access the WS in a easy way then with >>> Zeppelin access to it and process the data with spark. >>> >>> Directly give the spark context to the helper and process all there? >>> >>> Or Zeppeling already have something out of the box for it? >>> >>> I'm thinking on something like this with the helper >>> >>> val jsonData = MyHelper.getCustomersMetrics() >>> //All spark code to process jsonData >>> >>> or directly the DataFrame as result >>> >>> val df = MyHelper.getCustomerMetrics(sc) >>> >>> regards. >>> >>> -- >>> Ing. Ivaldi Andres >>> >> >> > > > -- > Ing. Ivaldi Andres >
